Jürgen Schmidhuber

Proceedings of the 19th International Conference on Software Technologies, 2024

Utilizing a Malfunctioning 3D Printer by Modeling Its Dynamics with Machine Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

GPTSwarm: Language Agents as Optimizable Graphs.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Boosting Reinforcement Learning with Strongly Delayed Feedback Through Auxiliary Short Delays.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Highway Value Iteration Networks.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Sequence Compression Speeds Up Credit Assignment in Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Learning Useful Representations of Recurrent Neural Network Weight Matrices.

[BibT_eX]

[DOI]

Vincent Herrmann

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Exploring the Promise and Limits of Real-Time Recurrent Learning.

[BibT_eX]

[DOI]

Anand Gopalakrishnan

Proceedings of the Twelfth International Conference on Learning Representations, 2024

MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Self-organising Neural Discrete Representation Learning à la Kohonen.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

Curating Reagents in Chemical Reaction Data with an Interactive Reagent Space Map.

[BibT_eX]

[DOI]

Proceedings of the AI in Drug Discovery - First International Workshop, 2024

Goldfish: Vision-Language Understanding of Arbitrarily Long Videos.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

Tune-an-Ellipse: CLIP Has Potential to Find what you Want.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Unsupervised Learning of Temporal Abstractions With Slot-Based Transformers.

[BibT_eX]

[DOI]

Anand Gopalakrishnan

Neural Comput., 2023

SwitchHead: Accelerating Transformers with Mixture-of-Experts Attention.

[BibT_eX]

[DOI]

CoRR, 2023

Automating Continual Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Efficient Rotation Invariance in Deep Neural Networks through Artificial Mental Rotation.

[BibT_eX]

[DOI]

Lukas Tuggener

Thilo Stadelmann

CoRR, 2023

Unsupervised Musical Object Discovery from Audio.

[BibT_eX]

[DOI]

CoRR, 2023

The Languini Kitchen: Enabling Language Modelling Research at Different Scales of Compute.

[BibT_eX]

[DOI]

CoRR, 2023

Mindstorms in Natural Language-Based Societies of Mind.

[BibT_eX]

[DOI]

CoRR, 2023

Large Language Model Programs.

[BibT_eX]

[DOI]

CoRR, 2023

Accelerating Neural Self-Improvement via Bootstrapping.

[BibT_eX]

[DOI]

CoRR, 2023

Topological Neural Discrete Representation Learning à la Kohonen.

[BibT_eX]

[DOI]

CoRR, 2023

Guiding Online Reinforcement Learning with Action-Free Offline Pretraining.

[BibT_eX]

[DOI]

CoRR, 2023

Contrastive Training of Complex-Valued Autoencoders for Object Discovery.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning One Abstract Bit at a Time Through Self-invented Experiments Encoded as Neural Networks.

[BibT_eX]

[DOI]

Vincent Herrmann

Proceedings of the Active Inference - 4th International Workshop, 2023

The Benefits of Model-Based Generalization in Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Images as Weight Matrices: Sequential Image Generation Through Synaptic Learning Rules.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Learning to Identify Critical States for Reinforcement Learning from Videos.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Practical Computational Power of Linear Transformers and Their Recurrent and Self-Referential Extensions.

[BibT_eX]

[DOI]

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Approximating Two-Layer Feedforward Networks for Efficient Transformers.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Goal-Conditioned Generators of Deep Policies.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Analysis of Neural Network Based Proportional Myoelectric Hand Prosthesis Control.

[BibT_eX]

[DOI]

Morten Bak Kristoffersen

Andreas W. Franzke

IEEE Trans. Biomed. Eng., 2022

Bayesian Brains and the Rényi Divergence.

[BibT_eX]

[DOI]

Neural Comput., 2022

Recurrent Neural-Linear Posterior Sampling for Nonstationary Contextual Bandits.

[BibT_eX]

[DOI]

Aditya A. Ramesh

Paulo E. Rauber

Michelangelo Conserva

Neural Comput., 2022

Is it enough to optimize CNN architectures on ImageNet?

[BibT_eX]

[DOI]

Lukas Tuggener

Thilo Stadelmann

Frontiers Comput. Sci., 2022

Eliminating Meta Optimization Through Self-Referential Meta Learning.

[BibT_eX]

[DOI]

CoRR, 2022

Annotated History of Modern AI and Deep Learning.

[BibT_eX]

[DOI]

CoRR, 2022

On Narrative Information and the Distillation of Stories.

[BibT_eX]

[DOI]

CoRR, 2022

Learning to Control Rapidly Changing Synaptic Connections: An Alternative Type of Memory in Sequence Processing Artificial Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2022

General Policy Evaluation and Improvement by Learning to Identify Few But Crucial States.

[BibT_eX]

[DOI]

CoRR, 2022

Upside-Down Reinforcement Learning Can Diverge in Stochastic Environments With Episodic Resets.

[BibT_eX]

[DOI]

CoRR, 2022

Learning Relative Return Policies With Upside-Down Reinforcement Learning.

[BibT_eX]

[DOI]

Dylan R. Ashley

Kai Arulkumaran

CoRR, 2022

All You Need Is Supervised Learning: From Imitation Learning to Meta-RL With Upside Down RL.

[BibT_eX]

[DOI]

Kai Arulkumaran

Dylan R. Ashley

CoRR, 2022

Exploring through Random Curiosity with General Value Functions.

[BibT_eX]

[DOI]

Aditya A. Ramesh

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Neural Differential Equations for Learning to Program Neural Nets Through Continuous Learning Rules.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

A Modern Self-Referential Weight Matrix That Learns to Modify Itself.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

The Dual Form of Neural Networks Revisited: Connecting Test Time Predictions to Training Patterns via Spotlights of Attention.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

The Neural Data Router: Adaptive Control Flow in Transformers Improves Systematic Generalization.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

CTL++: Evaluating Generalization on Never-Seen Compositional Patterns of Known Functions, and Compatibility of Neural Representations.

[BibT_eX]

[DOI]

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Reward-Weighted Regression Converges to a Global Optimum.

[BibT_eX]

[DOI]

Miroslav Strupl

Dylan R. Ashley

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Deep neural network representation and Generative Adversarial Learning.

[BibT_eX]

[DOI]

Neural Networks, 2021

Reinforcement Learning in Sparse-Reward Environments With Hindsight Policy Gradients.

[BibT_eX]

[DOI]

Neural Comput., 2021

Improving Baselines in the Wild.

[BibT_eX]

[DOI]

CoRR, 2021

Training and Generating Neural Networks in Compressed Weight Space.

[BibT_eX]

[DOI]

CoRR, 2021

Automatic Embedding of Stories Into Collections of Independent Media.

[BibT_eX]

[DOI]

CoRR, 2021

Linear Transformers Are Secretly Fast Weight Memory Systems.

[BibT_eX]

[DOI]

CoRR, 2021

Meta Learning Backpropagation And Improving It.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Going Beyond Linear Transformers with Recurrent Fast Weight Programmers.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Improving Stateful Premise Selection with Transformers.

[BibT_eX]

[DOI]

Krsto Prorokovic

Proceedings of the Intelligent Computer Mathematics - 14th International Conference, 2021

Linear Transformers Are Secretly Fast Weight Programmers.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

Learning Associative Inference Using Fast Weight Memory.

[BibT_eX]

[DOI]

Tsendsuren Munkhdalai

Proceedings of the 9th International Conference on Learning Representations, 2021

Spatial Dependency Networks: Neural Layers for Improved Generative Image Modeling.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

Unsupervised Object Keypoint Learning using Local Spatial Predictability.

[BibT_eX]

[DOI]

Anand Gopalakrishnan

Proceedings of the 9th International Conference on Learning Representations, 2021

Parameter-Based Value Functions.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

The Devil is in the Detail: Simple Tricks Improve Systematic Generalization of Transformers.

[BibT_eX]

[DOI]

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Hierarchical Relational Inference.

[BibT_eX]

[DOI]

Aleksandar Stanic

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Investigating object compositionality in Generative Adversarial Networks.

[BibT_eX]

[DOI]

Karol Kurach

Sylvain Gelly

Neural Networks, 2020

Generative Adversarial Networks are special cases of Artificial Curiosity (1990) and also closely related to Predictability Minimization (1991).

[BibT_eX]

[DOI]

Neural Networks, 2020

On the Binding Problem in Artificial Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2020

Recurrent Neural-Linear Posterior Sampling for Non-Stationary Contextual Bandits.

[BibT_eX]

[DOI]

Aditya A. Ramesh

Paulo E. Rauber

CoRR, 2020

Parameter-based Value Functions.

[BibT_eX]

[DOI]

CoRR, 2020

Deep Learning: Our Miraculous Year 1990-1991.

[BibT_eX]

[DOI]

CoRR, 2020

Fusion Architectures for Word-Based Audiovisual Speech Recognition.

[BibT_eX]

[DOI]

Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

The DeepScoresV2 Dataset and Benchmark for Music Object Detection.

[BibT_eX]

[DOI]

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Improving Generalization in Meta Reinforcement Learning using Learned Objectives.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

Motion Dynamics Improve Speaker-Independent Lipreading.

[BibT_eX]

[DOI]

Matteo Riva

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Training Agents using Upside-Down Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2019

Reinforcement Learning Upside Down: Don't Predict Rewards - Just Map Them to Actions.

[BibT_eX]

[DOI]

CoRR, 2019

Enhancing the Transformer with Explicit Relational Encoding for Math Problem Solving.

[BibT_eX]

[DOI]

CoRR, 2019

R-SQAIR: Relational Sequential Attend, Infer, Repeat.

[BibT_eX]

[DOI]

Aleksandar Stanic

CoRR, 2019

Recurrent Neural Processes.

[BibT_eX]

[DOI]

CoRR, 2019

Unsupervised Minimax: Adversarial Curiosity, Generative Adversarial Networks, and Predictability Minimization.

[BibT_eX]

[DOI]

CoRR, 2019

A Perspective on Objects and Systematic Generalization in Model-Based RL.

[BibT_eX]

[DOI]

CoRR, 2019

Are Disentangled Representations Helpful for Abstract Visual Reasoning?

[BibT_eX]

[DOI]

Francesco Locatello

Olivier Bachem

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Hindsight policy gradients.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Learning Representations, 2019

Improving Differentiable Neural Computers Through Memory Masking, De-allocation, and Link Distribution Sharpness Control.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Learning Representations, 2019

Adaptation of an EMG-Based Speech Recognizer via Meta-Learning.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019

2018

World Models.

[BibT_eX]

[DOI]

David Ha

CoRR, 2018

One Big Net For Everything.

[BibT_eX]

[DOI]

CoRR, 2018

Learning to Reason with Third Order Tensor Products.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Recurrent World Models Facilitate Policy Evolution.

[BibT_eX]

[DOI]

David Ha

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Deep Watershed Detector for Music Object Recognition.

[BibT_eX]

[DOI]

Proceedings of the 19th International Society for Music Information Retrieval Conference, 2018

Domain-Adversarial Training for Session Independent EMG-based Speech Recognition.

[BibT_eX]

[DOI]

Tanja Schultz

Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018

DeepScores-A Dataset for Segmentation, Detection and Classification of Tiny Objects.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on Pattern Recognition, 2018

Relational Neural Expectation Maximization: Unsupervised Discovery of Objects and their Interactions.

[BibT_eX]

[DOI]

Michael Chang

Proceedings of the 6th International Conference on Learning Representations, 2018

Investigations on End- to-End Audiovisual Fusion.

[BibT_eX]

[DOI]

Ngoc Thang Vu

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017

Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

LSTM: A Search Space Odyssey.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2017

Hindsight policy gradients.

[BibT_eX]

[DOI]

Paulo E. Rauber

Filipe Mutz

CoRR, 2017

Continual curiosity-driven skill acquisition from high-dimensional video inputs for humanoid robots.

[BibT_eX]

[DOI]

Artif. Intell., 2017

The Sacred Infrastructure for Computational Research.

[BibT_eX]

[DOI]

Proceedings of the 16th Python in Science Conference 2017, 2017

Neural Expectation Maximization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Improving Speaker-Independent Lipreading with Domain-Adversarial Training.

[BibT_eX]

[DOI]

Proceedings of the 18th Annual Conference of the International Speech Communication Association, 2017

Recurrent Highway Networks.

[BibT_eX]

[DOI]

Julian Georg Zilly

Proceedings of the 34th International Conference on Machine Learning, 2017

Highway and Residual Networks learn Unrolled Iterative Estimation.

[BibT_eX]

[DOI]

Proceedings of the 5th International Conference on Learning Representations, 2017

2016

A Machine Learning Approach to Visual Perception of Forest Trails for Mobile Robots.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2016

Optimal Curiosity-Driven Modular Incremental Slow Feature Analysis.

[BibT_eX]

[DOI]

Neural Comput., 2016

Discovering Boolean Gates in Slime Mould.

[BibT_eX]

[DOI]

CoRR, 2016

Tagger: Deep Unsupervised Perceptual Grouping.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Deep Neural Network Frontend for Continuous EMG-Based Speech Recognition.

[BibT_eX]

[DOI]

Proceedings of the 17th Annual Conference of the International Speech Communication Association, 2016

Lipreading with long short-term memory.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

A Wavelet-based Encoding for Neuroevolution.

[BibT_eX]

[DOI]

Kurt Driessens

Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016

Growing Recursive Self-Improvers.

[BibT_eX]

[DOI]

Proceedings of the Artificial General Intelligence - 9th International Conference, 2016

2015

Deep Learning.

[BibT_eX]

[DOI]

Scholarpedia, 2015

Deep learning in neural networks: An overview.

[BibT_eX]

[DOI]

Neural Networks, 2015

Assessment of algorithms for mitosis detection in breast cancer histopathology images.

[BibT_eX]

[DOI]

Medical Image Anal., 2015

Understanding Locally Competitive Networks.

[BibT_eX]

[DOI]

Proceedings of the 3rd International Conference on Learning Representations, 2015

Highway Networks.

[BibT_eX]

[DOI]

CoRR, 2015

On Learning to Think: Algorithmic Information Theory for Novel Combinations of Reinforcement Learning Controllers and Recurrent Neural World Models.

[BibT_eX]

[DOI]

CoRR, 2015

Binding via Reconstruction Clustering.

[BibT_eX]

[DOI]

CoRR, 2015

Parallel Multi-Dimensional LSTM, With Application to Fast Biomedical Volumetric Image Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Training Very Deep Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

The Natural Gradient as a control signal for a humanoid robot.

[BibT_eX]

[DOI]

Marijn F. Stollenga

Alan J. Lockett

Proceedings of the 15th IEEE-RAS International Conference on Humanoid Robots, 2015

Anytime Bounded Rationality.

[BibT_eX]

[DOI]

Proceedings of the Artificial General Intelligence, 2015

2014

Descriptor Learning for Omnidirectional Image Matching.

[BibT_eX]

[DOI]

Proceedings of the Registration and Recognition in Images and Videos, 2014

Efficient Interactive Multiclass Learning from Binary Feedback.

[BibT_eX]

[DOI]

ACM Trans. Interact. Intell. Syst., 2014

Multimodal Similarity-Preserving Hashing.

[BibT_eX]

[DOI]

Michael M. Bronstein

Alexander M. Bronstein

IEEE Trans. Pattern Anal. Mach. Intell., 2014

Natural evolution strategies.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2014

Rapid Humanoid Motion Learning through Coordinated, Parallel Evolution.

[BibT_eX]

[DOI]

Marijn F. Stollenga

Proceedings of the From Animals to Animats 13, 2014

Reinforcement-Driven Shaping of Sequence Learning in Neural Dynamics.

[BibT_eX]

[DOI]

Proceedings of the From Animals to Animats 13, 2014

Online Evolution of Deep Convolutional Network for Vision-Based Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the From Animals to Animats 13, 2014

An Anti-hebbian Learning Rule to Represent Drive Motivations for Reinforcement Learning.

[BibT_eX]

[DOI]

Sohrob Kazerounian

Proceedings of the From Animals to Animats 13, 2014

Deep Networks with Internal Selective Attention through Feedback Connections.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Candidate Sampling for Neuron Reconstruction from Anisotropic Electron Microscopy Volumes.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

A comparison of algorithms and humans for mitosis detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Improving robot vision models for object detection through interaction.

[BibT_eX]

[DOI]

Jürgen Leitner

Alexander Förster

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Explore to see, learn to perceive, get the actions for free: SKILLABILITY.

[BibT_eX]

[DOI]

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

A Clockwork RNN.

[BibT_eX]

[DOI]

Proceedings of the 31th International Conference on Machine Learning, 2014

Reactive Reaching and Grasping on a Humanoid - Towards Closing the Action-Perception Loop on the iCub.

[BibT_eX]

[DOI]

Proceedings of the ICINCO 2014 - Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics, Volume 1, Vienna, Austria, 1, 2014

Reinforcement and shaping in learning action sequences with neural dynamics.

[BibT_eX]

[DOI]

Proceedings of the 4th International Conference on Development and Learning and on Epigenetic Robotics, 2014

Human-robot cooperation: fast, interactive learning from binary feedback.

[BibT_eX]

[DOI]

Jawad Nagi

Hung Quoc Ngo

Gianni A. Di Caro

Proceedings of the ACM/IEEE International Conference on Human-Robot Interaction, 2014

Evolving deep unsupervised convolutional networks for vision-based reinforcement learning.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2014

Bounded Seed-AGI.

[BibT_eX]

[DOI]

Proceedings of the Artificial General Intelligence - 7th International Conference, 2014

2013

PUF Modeling Attacks on Simulated and Silicon Data.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Forensics Secur., 2013

An intrinsic value system for developing multiple invariant representations with incremental slowness learning.

[BibT_eX]

[DOI]

Frontiers Neurorobotics, 2013

Curiosity driven reinforcement learning for motion planning on humanoids.

[BibT_eX]

[DOI]

Frontiers Neurorobotics, 2013

Testing Hypotheses by Regularized Maximum Mean Discrepancy

[BibT_eX]

[DOI]

CoRR, 2013

My First Deep Learning System of 1991 + Deep Learning Timeline 1962-2013.

[BibT_eX]

[DOI]

CoRR, 2013

Bounded Recursive Self-Improvement.

[BibT_eX]

[DOI]

CoRR, 2013

Multi-Column Deep Neural Networks for Offline Handwritten Chinese Character Classification.

[BibT_eX]

[DOI]

CoRR, 2013

Compete to Compute.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Mitosis Detection in Breast Cancer Histology Images with Deep Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

A Learning Framework for Morphological Operators Using Counter-Harmonic Mean.

[BibT_eX]

[DOI]

Jesús Angulo

Proceedings of the Mathematical Morphology and Its Applications to Signal and Image Processing, 2013

Task-relevant roadmaps: A framework for humanoid motion planning.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013

Multi-scale pyramidal pooling network for generic steel defect classification.

[BibT_eX]

[DOI]

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Artificial neural networks for spatial perception: Towards visual object localisation in humanoid robots.

[BibT_eX]

[DOI]

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Upper Confidence Weighted Learning for Efficient Exploration in Multiclass Prediction with Binary Feedback.

[BibT_eX]

[DOI]

Proceedings of the IJCAI 2013, 2013

A fast learning algorithm for image segmentation with max-pooling convolutional networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Image Processing, 2013

Fast image scanning with deep max-pooling convolutional neural networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Image Processing, 2013

A linear time natural evolution strategy for non-separable functions.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Evolving large-scale neural networks for vision-based reinforcement learning.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Evolving large-scale neural networks for vision-based TORCS.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on the Foundations of Digital Games, 2013

Humanoid learns to detect its own hands.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2013

Resource-Bounded Machines are Motivated to be Effective, Efficient, and Curious.

[BibT_eX]

[DOI]

Proceedings of the Artificial General Intelligence - 6th International Conference, 2013

Maximizing Fun by Creating Data with Easily Reducible Subjective Complexity.

[BibT_eX]

[DOI]

Proceedings of the Intrinsically Motivated Learning in Natural and Artificial Systems, 2013

2012

Deep Big Multilayer Perceptrons for Digit Recognition.

[BibT_eX]

[DOI]

Proceedings of the Neural Networks: Tricks of the Trade - Second Edition, 2012

Multi-column deep neural network for traffic sign classification.

[BibT_eX]

[DOI]

Neural Networks, 2012

Incremental Slow Feature Analysis: Adaptive Low-Complexity Slow Feature Updating from High-Dimensional Input Streams.

[BibT_eX]

[DOI]

Neural Comput., 2012

Turing: Keep his work in perspective.

[BibT_eX]

[DOI]

Nat., 2012

Learning tactile skills through curious exploration.

[BibT_eX]

[DOI]

Maria Chiara Carrozza

Frontiers Neurorobotics, 2012

Kernel representations for evolving continuous functions.

[BibT_eX]

[DOI]

Evol. Intell., 2012

Correction: novel Kernel-based recognizers of human actions.

[BibT_eX]

[DOI]

Somayeh Danafar

EURASIP J. Adv. Signal Process., 2012

A Frequency-Domain Encoding for Neuroevolution

[BibT_eX]

[DOI]

CoRR, 2012

First Experiments with PowerPlay

[BibT_eX]

[DOI]

CoRR, 2012

Self-Delimiting Neural Networks

[BibT_eX]

[DOI]

CoRR, 2012

Object Recognition with Multi-Scale Pyramidal Pooling Networks

[BibT_eX]

[DOI]

CoRR, 2012

T-Learning

[BibT_eX]

[DOI]

CoRR, 2012

Incremental learning using partial feedback for gesture-based human-swarm interaction.

[BibT_eX]

[DOI]

Jawad Nagi

Hung Quoc Ngo

Gianni A. Di Caro

Proceedings of the 21st IEEE International Symposium on Robot and Human Interactive Communication, 2012

Generalized Compressed Network Search.

[BibT_eX]

[DOI]

Proceedings of the Parallel Problem Solving from Nature - PPSN XII, 2012

Compressed Network Complexity Search.

[BibT_eX]

[DOI]

Proceedings of the Parallel Problem Solving from Nature - PPSN XII, 2012

Deep Neural Networks Segment Neuronal Membranes in Electron Microscopy Images.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Transferring spatial perception between robots operating in a shared workspace.

[BibT_eX]

[DOI]

Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012

Learning skills from play: Artificial curiosity on a Katana robot arm.

[BibT_eX]

[DOI]

Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Steel defect classification with Max-Pooling Convolutional Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Transfer learning for Latin and Chinese characters with Deep Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

On the Size of the Online Kernel Sparsification Dictionary.

[BibT_eX]

[DOI]

Proceedings of the 29th International Conference on Machine Learning, 2012

The Modular Behavioral Environment for Humanoids and other Robots (MoBeE).

[BibT_eX]

Proceedings of the ICINCO 2012 - Proceedings of the 9th International Conference on Informatics in Control, Automation and Robotics, Volume 2, Rome, Italy, 28, 2012

Continually adding self-invented problems to the repertoire: First experiments with POWERPLAY.

[BibT_eX]

[DOI]

Marijn F. Stollenga

Proceedings of the 2012 IEEE International Conference on Development and Learning and Epigenetic Robotics, 2012

Autonomous learning of robust visual object detection and identification on a humanoid.

[BibT_eX]

[DOI]

Jürgen Leitner

Pramod Chandrashekhariah

Proceedings of the 2012 IEEE International Conference on Development and Learning and Epigenetic Robotics, 2012

Autonomous learning of abstractions using Curiosity-Driven Modular Incremental Slow Feature Analysis.

[BibT_eX]

[DOI]

Proceedings of the 2012 IEEE International Conference on Development and Learning and Epigenetic Robotics, 2012

Autonomous reinforcement of behavioral sequences in neural dynamics.

[BibT_eX]

[DOI]

Proceedings of the 2012 IEEE International Conference on Development and Learning and Epigenetic Robotics, 2012

Low Complexity Proto-Value Function Learning from Sensory Observations with Incremental Slow Feature Analysis.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

Reflexive Collision Response with Virtual Skin - Roadmap Planning Meets Reinforcement Learning.

[BibT_eX]

Mikhail Frank

Alexander Förster

Proceedings of the ICAART 2012 - Proceedings of the 4th International Conference on Agents and Artificial Intelligence, Volume 1, 2012

MT-CGP: mixed type cartesian genetic programming.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2012

Complexity search for compressed neural networks.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2012

Multi-column deep neural networks for image classification.

[BibT_eX]

[DOI]

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

An Integrated, Modular Framework for Computer Vision and Cognitive Robotics Research (icVision).

[BibT_eX]

[DOI]

Proceedings of the Biologically Inspired Cognitive Architectures 2012 - Proceedings of the Third Annual Meeting of the BICA Society, Palermo, Sicily, Italy, October 31, 2012

Modular Value Iteration through Regional Decomposition.

[BibT_eX]

[DOI]

Proceedings of the Artificial General Intelligence - 5th International Conference, 2012

2011

Descriptor learning for omnidirectional image matching

[BibT_eX]

[DOI]

CoRR, 2011

POWERPLAY: Training an Increasingly General Problem Solver by Continually Searching for the Simplest Still Unsolvable Problem

[BibT_eX]

[DOI]

CoRR, 2011

Incremental Slow Feature Analysis: Adaptive and Episodic Learning from High-Dimensional Input Streams

[BibT_eX]

[DOI]

CoRR, 2011

Measuring Intelligence through Games

[BibT_eX]

[DOI]

CoRR, 2011

Natural Evolution Strategies

[BibT_eX]

[DOI]

CoRR, 2011

Handwritten Digit Recognition with a Committee of Deep Neural Nets on GPUs

[BibT_eX]

[DOI]

CoRR, 2011

High-Performance Neural Networks for Visual Object Classification

[BibT_eX]

[DOI]

CoRR, 2011

Algorithm portfolio selection as a bandit problem with unbounded losses.

[BibT_eX]

[DOI]

Ann. Math. Artif. Intell., 2011

Unsupervised Modeling of Partially Observable Environments.

[BibT_eX]

[DOI]

Vincent Graziano

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

Modular deep belief networks that do not forget.

[BibT_eX]

[DOI]

Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

A committee of neural networks for traffic sign classification.

[BibT_eX]

[DOI]

Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Incremental Slow Feature Analysis.

[BibT_eX]

[DOI]

Proceedings of the IJCAI 2011, 2011

Flexible, High Performance Convolutional Neural Networks for Image Classification.

[BibT_eX]

[DOI]

Proceedings of the IJCAI 2011, 2011

Max-pooling convolutional neural networks for vision-based hand gesture recognition.

[BibT_eX]

[DOI]

Proceedings of the 2011 IEEE International Conference on Signal and Image Processing Applications, 2011

Incremental Basis Construction from Temporal Difference Error.

[BibT_eX]

[DOI]

Proceedings of the 28th International Conference on Machine Learning, 2011

The two-dimensional organization of behavior.

[BibT_eX]

[DOI]

Mark B. Ring

Proceedings of the 1st International Conference on Development and Learning and on Epigenetic Robotics, 2011

Artificial curiosity with planning for autonomous perceptual and cognitive development.

[BibT_eX]

[DOI]

Proceedings of the 1st International Conference on Development and Learning and on Epigenetic Robotics, 2011

Intrinsically motivated neuroevolution for vision-based reinforcement learning.

[BibT_eX]

[DOI]

Proceedings of the 1st International Conference on Development and Learning and on Epigenetic Robotics, 2011

Better Digit Recognition with a Committee of Simple Neural Nets.

[BibT_eX]

[DOI]

Proceedings of the 2011 International Conference on Document Analysis and Recognition, 2011

Convolutional Neural Network Committees for Handwritten Character Classification.

[BibT_eX]

[DOI]

Proceedings of the 2011 International Conference on Document Analysis and Recognition, 2011

Stacked Convolutional Auto-Encoders for Hierarchical Feature Extraction.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2011, 2011

AutoIncSFA and vision-based developmental learning for humanoid robots.

[BibT_eX]

[DOI]

Proceedings of the 11th IEEE-RAS International Conference on Humanoid Robots (Humanoids 2011), 2011

High dimensions and heavy tails for natural evolution strategies.

[BibT_eX]

[DOI]

Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Curiosity-driven optimization.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2011

Planning to Be Surprised: Optimal Bayesian Exploration in Dynamic Environments.

[BibT_eX]

[DOI]

Proceedings of the Artificial General Intelligence - 4th International Conference, 2011

A Family of Gödel Machine Implementations.

[BibT_eX]

[DOI]

Proceedings of the Artificial General Intelligence - 4th International Conference, 2011

On Fast Deep Nets for AGI Vision.

[BibT_eX]

[DOI]

Proceedings of the Artificial General Intelligence - 4th International Conference, 2011

Coherence Progress: A Measure of Interestingness Based on Fixed Compressors.

[BibT_eX]

[DOI]

Proceedings of the Artificial General Intelligence - 4th International Conference, 2011

Optimal Direct Policy Search.

[BibT_eX]

[DOI]

Proceedings of the Artificial General Intelligence - 4th International Conference, 2011

Sequential Constant Size Compressors for Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Artificial General Intelligence - 4th International Conference, 2011

Lifelong Credit Assignment with the Success-Story Algorithm.

[BibT_eX]

[DOI]

Proceedings of the Lifelong Learning, 2011

2010

Formal Theory of Creativity, Fun, and Intrinsic Motivation (1990-2010).

[BibT_eX]

[DOI]

IEEE Trans. Auton. Ment. Dev., 2010

Metalearning.

[BibT_eX]

[DOI]

Scholarpedia, 2010

Exploring parameter space in reinforcement learning.

[BibT_eX]

[DOI]

Paladyn J. Behav. Robotics, 2010

Parameter-exploring policy gradients.

[BibT_eX]

[DOI]

Neural Networks, 2010

Deep, Big, Simple Neural Nets for Handwritten Digit Recognition.

[BibT_eX]

[DOI]

Neural Comput., 2010

PyBrain.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2010

Recurrent policy gradients.

[BibT_eX]

[DOI]

Log. J. IGPL, 2010

Modeling Attacks on Physical Unclonable Functions.

[BibT_eX]

[DOI]

IACR Cryptol. ePrint Arch., 2010

Novel Kernel-Based Recognizers of Human Actions.

[BibT_eX]

[DOI]

Somayeh Danafar

EURASIP J. Adv. Signal Process., 2010

Evolution of National Nobel Prize Shares in the 20th Century

[BibT_eX]

[DOI]

CoRR, 2010

Deep Big Simple Neural Nets Excel on Handwritten Digit Recognition

[BibT_eX]

[DOI]

CoRR, 2010

A Natural Evolution Strategy for Multi-objective Optimization.

[BibT_eX]

[DOI]

Proceedings of the Parallel Problem Solving from Nature, 2010

Formal Theory of Fun and Creativity.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

Characteristic Kernels on Structured Domains Excel in Robotics and Human Action Recognition.

[BibT_eX]

[DOI]

Somayeh Danafar

Arthur Gretton

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

Improving the Asymptotic Performance of Markov Chain Monte-Carlo by Inserting Vortices.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Algorithm Selection as a Bandit Problem with Unbounded Losses.

[BibT_eX]

[DOI]

Proceedings of the Learning and Intelligent Optimization, 4th International Conference, 2010

Multimodal Parameter-exploring Policy Gradients.

[BibT_eX]

[DOI]

Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010

Policy Gradients for Cryptanalysis.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks - ICANN 2010, 2010

Multi-Dimensional Deep Memory Atari-Go Players for Parameter Exploring Policy Gradients.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks, 2010

Evolving neural networks in compressed weight space.

[BibT_eX]

[DOI]

José David Martín-Guerrero

Proceedings of the Genetic and Evolutionary Computation Conference, 2010

Exponential natural evolution strategies.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2010

Robust Texture Recognition Using Credal Classifiers.

[BibT_eX]

[DOI]

Proceedings of the British Machine Vision Conference, 2010

2009

A Novel Connectionist System for Unconstrained Handwriting Recognition.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2009

Ontogenetic and Phylogenetic Reinforcement Learning.

[BibT_eX]

[DOI]

Künstliche Intell., 2009

On-Chip Electric Waves: An Analog Circuit Approach to Physical Uncloneable Functions.

[BibT_eX]

[DOI]

IACR Cryptol. ePrint Arch., 2009

A reinforcement learning approach for individualizing erythropoietin dosages in hemodialysis patients.

[BibT_eX]

[DOI]

Emilio Soria-Olivas

Mónica Climente-Martí

N. Víctor Jiménez-Torres

Expert Syst. Appl., 2009

Ultimate Cognition à la Gödel.

[BibT_eX]

[DOI]

Cogn. Comput., 2009

Using data compressors to construct order tests for homogeneity and component independence.

[BibT_eX]

[DOI]

Daniil Ryabko

Appl. Math. Lett., 2009

Stochastic search using the natural gradient.

[BibT_eX]

[DOI]

Proceedings of the 26th Annual International Conference on Machine Learning, 2009

An EM Based Training Algorithm for Recurrent Neural Networks.

[BibT_eX]

[DOI]

Jan Unkelbach

Proceedings of the Artificial Neural Networks, 2009

Scalable Neural Networks for Board Games.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks, 2009

Measuring and Optimizing Behavioral Complexity for Evolutionary Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks, 2009

Evolving Memory Cell Structures for Sequence Learning.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks, 2009

Efficient natural evolution strategies.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2009

Super mario evolution.

[BibT_eX]

[DOI]

Proceedings of the 2009 IEEE Symposium on Computational Intelligence and Games, 2009

Hierarchical controller learning in a First-Person Shooter.

[BibT_eX]

[DOI]

Niels van Hoorn

Proceedings of the 2009 IEEE Symposium on Computational Intelligence and Games, 2009

Robust player imitation using multiobjective evolution.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2009

2008

Accelerated Neural Evolution through Cooperatively Coevolved Synapses.

[BibT_eX]

[DOI]

Risto Miikkulainen

J. Mach. Learn. Res., 2008

Phoneme recognition in TIMIT with BLSTM-CTC

[BibT_eX]

[DOI]

CoRR, 2008

A System for Robotic Heart Surgery that Learns to Tie Knots Using Recurrent Neural Networks.

[BibT_eX]

[DOI]

Adv. Robotics, 2008

Fitness Expectation Maximization.

[BibT_eX]

[DOI]

Proceedings of the Parallel Problem Solving from Nature, 2008

Countering Poisonous Inputs with Memetic Neuroevolution.

[BibT_eX]

[DOI]

Proceedings of the Parallel Problem Solving from Nature, 2008

State-Dependent Exploration for Policy Gradient Methods.

[BibT_eX]

[DOI]

Thomas Rückstieß

Martin Felder

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008

Offline Handwriting Recognition with Multidimensional Recurrent Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Driven by Compression Progress.

[BibT_eX]

[DOI]

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2008

Episodic Reinforcement Learning by Logistic Reward-Weighted Regression.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks, 2008

Policy Gradients with Parameter-Based Exploration for Control.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks, 2008

Towards Distributed Algorithm Portfolios.

[BibT_eX]

[DOI]

Proceedings of the International Symposium on Distributed Computing and Artificial Intelligence, 2008

An experiment in automatic game design.

[BibT_eX]

[DOI]

Proceedings of the 2008 IEEE Symposium on Computational Intelligence and Games, 2008

A scalable neural network architecture for board games.

[BibT_eX]

[DOI]

Proceedings of the 2008 IEEE Symposium on Computational Intelligence and Games, 2008

Generating diverse opponents with multiobjective evolution.

[BibT_eX]

[DOI]

Andreas Konstantinidis

Proceedings of the 2008 IEEE Symposium on Computational Intelligence and Games, 2008

Natural Evolution Strategies.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2008

Learning what to ignore: Memetic climbing in topology and weight space.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2008

Driven by Compression Progress: A Simple Principle Explains Essential Aspects of Subjective Beauty, Novelty, Surprise, Interestingness, Attention, Curiosity, Creativity, Art, Science, Music, Jokes.

[BibT_eX]

[DOI]

Proceedings of the Anticipatory Behavior in Adaptive Learning Systems, 2008

2007

New Millennium AI and the Convergence of History.

[BibT_eX]

[DOI]

Proceedings of the Challenges for Computational Intelligence, 2007

Gödel Machines: Fully Self-referential Optimal Universal Self-improvers.

[BibT_eX]

[DOI]

Proceedings of the Artificial General Intelligence, 2007

The New AI: General & Sound & Relevant for Physics.

[BibT_eX]

[DOI]

Proceedings of the Artificial General Intelligence, 2007

Training Recurrent Networks by Evolino.

[BibT_eX]

[DOI]

Neural Comput., 2007

Algorithmic complexity bounds on future prediction errors.

[BibT_eX]

[DOI]

Alexey V. Chernov

Inf. Comput., 2007

Using Data Compressors to Construct Rank Tests

[BibT_eX]

[DOI]

Daniil Ryabko

CoRR, 2007

Unconstrained On-line Handwriting Recognition with Recurrent Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Learning Restart Strategies.

[BibT_eX]

[DOI]

Proceedings of the IJCAI 2007, 2007

Sequence Labelling in Structured Domains with Hierarchical Recurrent Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the IJCAI 2007, 2007

Solving Deep Memory POMDPs with Recurrent Policy Gradients.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks, 2007

Multi-dimensional Recurrent Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks, 2007

An Application of Recurrent Neural Networks to Discriminative Keyword Spotting.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks, 2007

RNN-based Learning of Compact Maps for Efficient Robot Localization.

[BibT_eX]

[DOI]

Alexander Förster

Proceedings of the 15th European Symposium on Artificial Neural Networks, 2007

Policy Gradient Critics.

[BibT_eX]

[DOI]

Daan Wierstra

Proceedings of the Machine Learning: ECML 2007, 2007

Simple Algorithmic Principles of Discovery, Subjective Beauty, Selective Attention, Curiosity & Creativity.

[BibT_eX]

[DOI]

Proceedings of the Discovery Science, 10th International Conference, 2007

Simple Algorithmic Principles of Discovery, Subjective Beauty, Selective Attention, Curiosity and Creativity.

[BibT_eX]

[DOI]

Proceedings of the Algorithmic Learning Theory, 18th International Conference, 2007

2006

New Millennium AI and the Convergence of History

[BibT_eX]

[DOI]

CoRR, 2006

Developmental robotics, optimal artificial curiosity, creativity, music, and the fine arts.

[BibT_eX]

[DOI]

Connect. Sci., 2006

Learning dynamic algorithm portfolios.

[BibT_eX]

[DOI]

Ann. Math. Artif. Intell., 2006

Dynamic Algorithm Portfolios.

[BibT_eX]

[DOI]

Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2006

Quasi-online Reinforcement Learning for Robots.

[BibT_eX]

[DOI]

Proceedings of the 2006 IEEE International Conference on Robotics and Automation, 2006

Connectionist temporal classification: labelling unsegmented sequence data with recurrent neural networks.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, 2006

Metric State Space Reinforcement Learning for a Vision-Capable Mobile Robot.

[BibT_eX]

Proceedings of the Intelligent Autonomous Systems 9, 2006

Evolino for recurrent support vector machines.

[BibT_eX]

[DOI]

Proceedings of the 14th European Symposium on Artificial Neural Networks, 2006

Efficient Non-linear Control Through Neuroevolution.

[BibT_eX]

[DOI]

Risto Miikkulainen

Proceedings of the Machine Learning: ECML 2006, 2006

Complexity Monotone in Conditions and Future Prediction Errors.

[BibT_eX]

[DOI]

Alexey V. Chernov

Proceedings of the Kolmogorov Complexity and Applications, 29.01. - 03.02.2006, 2006

Impact of Censored Sampling on the Performance of Restart Strategies.

[BibT_eX]

[DOI]

Proceedings of the Principles and Practice of Constraint Programming, 2006

Prefix-Like Complexities and Computability in the Limit.

[BibT_eX]

[DOI]

Alexey V. Chernov

Proceedings of the Logical Approaches to Computational Barriers, 2006

2006: Celebrating 75 Years of AI - History and Outlook: The Next 25 Years.

[BibT_eX]

[DOI]

Proceedings of the 50 Years of Artificial Intelligence, 2006

2005

Framewise phoneme classification with bidirectional LSTM and other neural network architectures.

[BibT_eX]

[DOI]

Neural Networks, 2005

Evolino: Hybrid Neuroevolution/Optimal Linear Search for Sequence Learning.

[BibT_eX]

[DOI]

Daan Wierstra

Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005

Completely Self-referential Optimal Reinforcement Learners.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks: Formal Models and Their Applications, 2005

Bidirectional LSTM Networks for Improved Phoneme Classification and Recognition.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks: Formal Models and Their Applications, 2005

Evolving Modular Fast-Weight Networks for Control.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks: Formal Models and Their Applications, 2005

Fast Color-Based Object Recognition Independent of Position and Orientation.

[BibT_eX]

[DOI]

Martijn van de Giessen

Proceedings of the Artificial Neural Networks: Biological Inspirations, 2005

A Neural Network Model for Inter-problem Adaptive Online Time Allocation.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks: Formal Models and Their Applications, 2005

Classifying Unprompted Speech by Retraining LSTM Nets.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks: Biological Inspirations, 2005

Modeling systems with internal state using evolino.

[BibT_eX]

[DOI]

Daan Wierstra

Proceedings of the Genetic and Evolutionary Computation Conference, 2005

Co-evolving recurrent neurons learn deep memory POMDPs.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2005

Gödel Machines: Towards a Technical Justification of Consciousness.

[BibT_eX]

[DOI]

Proceedings of the Adaptive Agents and Multi-Agent Systems II: Adaptation and Multi-Agent Learning, 2005

How to Learn a Program: Optimal Universal Learners & Goedel Machines.

[BibT_eX]

[DOI]

Proceedings of the Workshop on Approaches and Applications of Inductive Programming, 2005

2004

Self-organizing nets for optimization.

[BibT_eX]

[DOI]

Michele Milano

Petros Koumoutsakos

IEEE Trans. Neural Networks, 2004

Optimal Ordered Problem Solver.

[BibT_eX]

[DOI]

Mach. Learn., 2004

A comparison between spiking and differentiable recurrent neural networks on spoken digit recognition.

[BibT_eX]

Nicole Beringer

Proceedings of the IASTED International Conference on Neural Networks and Computational Intelligence, 2004

Hierarchical reinforcement learning with subpolicies specializing for learned subgoals.

[BibT_eX]

Bram Bakker

Proceedings of the IASTED International Conference on Neural Networks and Computational Intelligence, 2004

Adaptive Online Time Allocation to Search Algorithms.

[BibT_eX]

[DOI]

Viktor Zhumatiy

Proceedings of the Machine Learning: ECML 2004, 2004

Biologically Plausible Speech Recognition with LSTM Neural Nets.

[BibT_eX]

[DOI]

Proceedings of the Biologically Inspired Approaches to Advanced Information Technology, 2004

2003

Kalman filters improve LSTM network performance in problems unsolvable by traditional recurrent nets.

[BibT_eX]

[DOI]

Neural Networks, 2003

Goedel Machines: Self-Referential Universal Problem Solvers Making Provably Optimal Self-Improvements

[BibT_eX]

[DOI]

CoRR, 2003

The New AI: General & Sound & Relevant for Physics

[BibT_eX]

[DOI]

CoRR, 2003

A robot that reinforcement-learns to identify and memorize important previous observations.

[BibT_eX]

[DOI]

Proceedings of the 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems, Las Vegas, Nevada, USA, October 27, 2003

2002

Learning Nonregular Languages: A Comparison of Simple Recurrent Networks and LSTM.

[BibT_eX]

[DOI]

Neural Comput., 2002

Learning Precise Timing with LSTM Recurrent Networks.

[BibT_eX]

[DOI]

Nicol N. Schraudolph

J. Mach. Learn. Res., 2002

Hierarchies of Generalized Kolmogorov Complexities and Nonenumerable Universal Measures Computable in the Limit.

[BibT_eX]

[DOI]

Int. J. Found. Comput. Sci., 2002

Finding temporal structure in music: blues improvisation with LSTM recurrent networks.

[BibT_eX]

[DOI]

Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing, 2002

Bias-Optimal Incremental Problem Solving.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

Reinforcement learning in partially observable mobile robot domains using unsupervised event extraction.

[BibT_eX]

[DOI]

Bram Bakker

Fredrik Linåker

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, Lausanne, Switzerland, September 30, 2002

Improving Long-Term Online Prediction with Decoupled Extended Kalman Filters.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks, 2002

Learning Context Sensitive Languages with LSTM Trained with Kalman Filters.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks, 2002

Learning the Long-Term Structure of the Blues.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks, 2002

DEKF-LSTM.

[BibT_eX]

[DOI]

Proceedings of the 10th Eurorean Symposium on Artificial Neural Networks, 2002

The Speed Prior: A New Simplicity Measure Yielding Near-Optimal Computable Predictions.

[BibT_eX]

[DOI]

Proceedings of the Computational Learning Theory, 2002

2001

LSTM recurrent networks learn simple context-free and context-sensitive languages.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 2001

Gradient-based Reinforcement Planning in Policy-Search Methods

[BibT_eX]

[DOI]

Ivo Kwee

CoRR, 2001

Optimal Control Using the Transport Equation: The Liouville Machine.

[BibT_eX]

[DOI]

Ivo Kwee

Adapt. Behav., 2001

Applying LSTM to Time Series Predictable Through Time-Window Approaches.

[BibT_eX]

[DOI]

Proceedings of the 12th Italian Workshop on Neural Nets, 2001

Sequential Decision Making Based on Direct Search.

[BibT_eX]

[DOI]

Proceedings of the Sequence Learning - Paradigms, Algorithms, and Applications, 2001

Active Learning with Adaptive Grids.

[BibT_eX]

[DOI]

Michele Milano

Petros Koumoutsakos

Proceedings of the Artificial Neural Networks, 2001

Market-Based Reinforcement Learning in Partially Observable Worlds.

[BibT_eX]

[DOI]

Ivo Kwee

Magdalena Klapper-Rybicka

Proceedings of the Artificial Neural Networks, 2001

Unsupervised Learning in LSTM Recurrent Neural Networks.

[BibT_eX]

[DOI]

Nicol N. Schraudolph

Proceedings of the Artificial Neural Networks, 2001

2000

Learning to Forget: Continual Prediction with LSTM.

[BibT_eX]

[DOI]

Fred A. Cummins

Neural Comput., 2000

Algorithmic Theories of Everything

[BibT_eX]

[DOI]

CoRR, 2000

Neural Processing of Complex Continual Input Streams.

[BibT_eX]

[DOI]

Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

Recurrent Nets that Time and Count.

[BibT_eX]

[DOI]

Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

Evolving strategies for active flow control.

[BibT_eX]

[DOI]

Michele Milano

Petros Koumoutsakos

Xavier Giannakopoulos

Proceedings of the 2000 Congress on Evolutionary Computation, 2000

1999

Feature Extraction Through LOCOCODE.

[BibT_eX]

[DOI]

Neural Comput., 1999

Reinforcement Learning Soccer Teams with Incomplete World Models.

[BibT_eX]

[DOI]

Auton. Robots, 1999

Nonlinear ICA through low-complexity autoencoders.

[BibT_eX]

[DOI]

Proceedings of the 1999 International Symposium on Circuits and Systems, ISCAS 1999, Orlando, Florida, USA, May 30, 1999

Language identification from prosody without explicit features.

[BibT_eX]

[DOI]

Fred A. Cummins

Proceedings of the Sixth European Conference on Speech Communication and Technology, 1999

Artificial curiosity based on discovering novel algorithmic predictability through coevolution.

[BibT_eX]

[DOI]

Proceedings of the 1999 Congress on Evolutionary Computation, 1999

1998

Fast Online Q(lambda).

[BibT_eX]

[DOI]

Mach. Learn., 1998

Learning Team Strategies: Soccer Case Studies.

[BibT_eX]

[DOI]

Mach. Learn., 1998

Source Separation as a By-Product of Regularization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998

Evolving Structured Programs with Hierarchical Instructions and Skip Nodes.

[BibT_eX]

Proceedings of the Fifteenth International Conference on Machine Learning (ICML 1998), 1998

Speeding up Q(lambda)-Learning.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning: ECML-98, 1998

Reinforcement Learning with Self-Modifying Policies.

[BibT_eX]

[DOI]

Jieyu Zhao

Nicol N. Schraudolph

Proceedings of the Learning to Learn., 1998

1997

Discovering Neural Nets with Low Kolmogorov Complexity and High Generalization Capability.

[BibT_eX]

[DOI]

Neural Networks, 1997

Flat Minima

[BibT_eX]

[DOI]

Neural Comput., 1997

Long Short-Term Memory.

[BibT_eX]

[DOI]

Neural Comput., 1997

Shifting Inductive Bias with Success-Story Algorithm, Adaptive Levin Search, and Incremental Self-Improvement.

[BibT_eX]

[DOI]

Jieyu Zhao

Mach. Learn., 1997

Probabilistic Incremental Program Evolution.

[BibT_eX]

[DOI]

Evol. Comput., 1997

HQ-Learning.

[BibT_eX]

[DOI]

Adapt. Behav., 1997

Evolving Soccer Strategies.

[BibT_eX]

Proceedings of the Progress in Connectionist-Based Information Systems: Proceedings of the 1997 International Conference on Neural Information Processing and Intelligent Information Systems, 1997

On Learning Soccer Strategies.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks, 1997

Unsupervised Coding with LOCOCODE.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks, 1997

Probabilistic Incremental Program Evolution: Stochastic Search Through Program Space.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning: ECML-97, 1997

A Computer Scientist's View of Life, the Universe, and Everything.

[BibT_eX]

[DOI]

Proceedings of the Foundations of Computer Science: Potential - Theory, 1997

1996

Sequential neural text compression.

[BibT_eX]

[DOI]

Stefan Heil

IEEE Trans. Neural Networks, 1996

Semilinear Predictability Minimization Produces Well-Known Feature Detectors.

[BibT_eX]

[DOI]

Martin Eldracher

Bernhard Foltin

Neural Comput., 1996

LSTM can Solve Hard Long Time Lag Problems.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 9, 1996

Solving POMDPs with Levin Search and EIRA.

[BibT_eX]

Proceedings of the Machine Learning, 1996

Multi-Agent Learning with the Success-Story Algorithm.

[BibT_eX]

[DOI]

Jieyu Zhao

Proceedings of the Distributed Artificial Intelligence Meets Machine Learning, 1996

1995

Discovering Solutions with Low Kolmogorov Complexity and High Generalization Capability.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, 1995

1994

Predictive Coding with Neural Nets: Application to Text Compression.

[BibT_eX]

[DOI]

Stefan Heil

Proceedings of the Advances in Neural Information Processing Systems 7, 1994

Simplifying Neural Nets by Discovering Flat Minima.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 7, 1994

1993

Netzwerkarchitekturen, Zielfunktionen und Kettenregel (Network architectures, objective functions, and chain rule)

[BibT_eX]

[DOI]

, 1993

Discovering Predictable Classifications.

[BibT_eX]

[DOI]

Daniel Prelinger

Neural Comput., 1993

A neural network that embeds its own meta-levels.

[BibT_eX]

[DOI]

Proceedings of International Conference on Neural Networks (ICNN'88), San Francisco, CA, USA, March 28, 1993

1992

Learning Factorial Codes by Predictability Minimization.

[BibT_eX]

[DOI]

Neural Comput., 1992

A Fixed Size Storage O(n3) Time Complexity Learning Algorithm for Fully Recurrent Continually Running Networks.

[BibT_eX]

[DOI]

Neural Comput., 1992

Learning Complex, Extended Sequences Using the Principle of History Compression.

[BibT_eX]

[DOI]

Neural Comput., 1992

Learning to Control Fast-Weight Memories: An Alternative to Dynamic Recurrent Networks.

[BibT_eX]

[DOI]

Neural Comput., 1992

1991

An O(n3) learning algorithm for fully recurrent networks

[BibT_eX]

[DOI]

Forschungsberichte, TU Munich, 1991

Adaptive confidence and adaptive curiosity

[BibT_eX]

[DOI]

Forschungsberichte, TU Munich, 1991

Neural sequence chunkers

[BibT_eX]

[DOI]

Forschungsberichte, TU Munich, 1991

Learning to Generate Artificial Fovea Trajectories for Target Detection.

[BibT_eX]

[DOI]

Rudolf Huber

Int. J. Neural Syst., 1991

Learning Unambiguous Reduced Sequence Descriptions.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 4, 1991

1990

Towards compositional learning with dynamic neural networks

[BibT_eX]

[DOI]

Forschungsberichte, TU Munich, 1990

Learning to generate focus trajectories for attentive vision

[BibT_eX]

[DOI]

Forschungsberichte, TU Munich, 1990

Making the world differentiable: on using self supervised fully recurrent neural networks for dynamic reinforcement learning and planning in non-stationary environments

[BibT_eX]

[DOI]

Forschungsberichte, TU Munich, 1990

Networks adjusting networks

[BibT_eX]

[DOI]

Forschungsberichte, TU Munich, 1990

A local learning algorithm for dynamic feedforward and recurrent networks

[BibT_eX]

[DOI]

Forschungsberichte, TU Munich, 1990

Dynamische neuronale Netze und das fundamentale raumzeitliche Lernproblem.

[BibT_eX]

[DOI]

PhD thesis, 1990

Dynamische neuronale Netze und das fundamentale raumzeitliche Lernproblem (Dynamic neural nets and the fundamental spatio-temporal credit assignment problem)

[BibT_eX]

[DOI]

PhD thesis, 1990

Reinforcement Learning in Markovian and Non-Markovian Environments.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 3, 1990

An on-line algorithm for dynamic reinforcement learning and planning in reactive environments.

[BibT_eX]

[DOI]

Proceedings of the IJCNN 1990, 1990

1987

Evolutionary principles in self-referential learning, or on learning how to learn: The meta-meta-. hook

[BibT_eX]

[DOI]