Bernhard Schölkopf
Orcid: 0000-0002-8177-0925Affiliations:
- Max Planck Institute for Intelligent Systems, Tübingen, Germany
According to our database1,
Bernhard Schölkopf
authored at least 733 papers
between 1995 and 2024.
Collaborative distances:
Collaborative distances:
Awards
ACM Fellow
ACM Fellow 2017, "For contributions to the theory and practice of machine learning".
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
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on zbmath.org
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on is.mpg.de
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on acm.org
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on orcid.org
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on id.loc.gov
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on d-nb.info
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on dl.acm.org
On csauthors.net:
Bibliography
2024
Trans. Mach. Learn. Res., 2024
The Odyssey of Commonsense Causality: From Foundational Benchmarks to Cutting-Edge Reasoning.
CoRR, 2024
Accuracy on the wrong line: On the pitfalls of noisy data for out-of-distribution generalisation.
CoRR, 2024
Identifiable Exchangeable Mechanisms for Causal Structure and Representation Learning.
CoRR, 2024
CoRR, 2024
CoRR, 2024
CoRR, 2024
Cooperate or Collapse: Emergence of Sustainability Behaviors in a Society of LLM Agents.
CoRR, 2024
CoRR, 2024
Hallmarks of Optimization Trajectories in Neural Networks and LLMs: The Lengths, Bends, and Dead Ends.
CoRR, 2024
Learning Interpretable Concepts: Unifying Causal Representation Learning and Foundation Models.
CoRR, 2024
CoRR, 2024
CoRR, 2024
Low-power scalable multilayer optoelectronic neural networks enabled with incoherent light.
CoRR, 2024
Do Language Models Exhibit the Same Cognitive Biases in Problem Solving as Human Learners?
CoRR, 2024
CoRR, 2024
Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024
The Expressive Leaky Memory Neuron: an Efficient and Expressive Phenomenological Neuron Model Can Solve Long-Horizon Tasks.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
Competition of Mechanisms: Tracing How Language Models Handle Facts and Counterfactuals.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
Proceedings of the Findings of the Association for Computational Linguistics, 2024
2023
Entropy, December, 2023
Auton. Robots, December, 2023
J. Open Source Softw., July, 2023
Patterns, June, 2023
Pyfectious: An individual-level simulator to discover optimal containment policies for epidemic diseases.
PLoS Comput. Biol., January, 2023
Trans. Mach. Learn. Res., 2023
PLoS Comput. Biol., 2023
Nat. Comput. Sci., 2023
J. Mach. Learn. Res., 2023
A Survey of Algorithmic Recourse: Contrastive Explanations and Consequential Recommendations.
ACM Comput. Surv., 2023
Inferring Atmospheric Properties of Exoplanets with Flow Matching and Neural Importance Sampling.
CoRR, 2023
CoRR, 2023
Navigating the Ocean of Biases: Political Bias Attribution in Language Models via Causal Structures.
CoRR, 2023
CoRR, 2023
Parameterizing pressure-temperature profiles of exoplanet atmospheres with neural networks.
CoRR, 2023
A Robust Open-source Tendon-driven Robot Arm for Learning Control of Dynamic Motions.
CoRR, 2023
The ELM Neuron: an Efficient and Expressive Cortical Neuron Model Can Solve Long-Horizon Tasks.
CoRR, 2023
Synchronizing Machine Learning Algorithms, Realtime Robotic Control and Simulated Environment with o80.
CoRR, 2023
CoRR, 2023
CoRR, 2023
Hindsight States: Blending Sim and Real Task Elements for Efficient Reinforcement Learning.
CoRR, 2023
Causal effect estimation from observational and interventional data through matrix weighted linear estimators.
Proceedings of the Uncertainty in Artificial Intelligence, 2023
Hindsight States: Blending Sim & Real Task Elements for Efficient Reinforcement Learning.
Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Causal de Finetti: On the Identification of Invariant Causal Structure in Exchangeable Data.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Leveraging sparse and shared feature activations for disentangled representation learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Spuriosity Didn't Kill the Classifier: Using Invariant Predictions to Harness Spurious Features.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Learning Linear Causal Representations from Interventions under General Nonlinear Mixing.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Learning for Dynamics and Control Conference, 2023
AIMY: An Open-source Table Tennis Ball Launcher for Versatile and High-fidelity Trajectory Generation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the International Conference on Machine Learning, 2023
Homomorphism AutoEncoder - Learning Group Structured Representations from Observed Transitions.
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proceedings of the IEEE International Conference on Computational Photography, 2023
Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Proceedings of the Conference on Causal Learning and Reasoning, 2023
Proceedings of the Conference on Causal Learning and Reasoning, 2023
Causal Triplet: An Open Challenge for Intervention-centric Causal Representation Learning.
Proceedings of the Conference on Causal Learning and Reasoning, 2023
Proceedings of the 2nd IEEE/ACM International Conference on AI Engineering, 2023
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023
A Causal Framework to Quantify the Robustness of Mathematical Reasoning with Language Models.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
2022
Age-stratified Covid-19 case fatality rates (CFRs): different countries and longitudinal.
Dataset, May, 2022
Quantifying the Effects of Contact Tracing, Testing, and Containment Measures in the Presence of Infection Hotspots.
ACM Trans. Spatial Algorithms Syst., 2022
IEEE Trans. Robotics, 2022
Spatial Context Awareness for Unsupervised Change Detection in Optical Satellite Images.
IEEE Trans. Geosci. Remote. Sens., 2022
Understanding Stereotypes in Language Models: Towards Robust Measurement and Zero-Shot Debiasing.
CoRR, 2022
CoRR, 2022
CoRR, 2022
CoRR, 2022
AIMY: An Open-source Table Tennis Ball Launcher for Versatile and High-fidelity Trajectory Generation.
CoRR, 2022
CoRR, 2022
When to Make Exceptions: Exploring Language Models as Accounts of Human Moral Judgment.
CoRR, 2022
Probing the Robustness of Independent Mechanism Analysis for Representation Learning.
CoRR, 2022
Half-sibling regression meets exoplanet imaging: PSF modeling and subtraction using a flexible, domain knowledge-driven, causal framework.
CoRR, 2022
On Pitfalls of Identifiability in Unsupervised Learning. A Note on: "Desiderata for Representation Learning: A Causal Perspective".
CoRR, 2022
CoRR, 2022
CoRR, 2022
Proceedings of the Uncertainty in Artificial Intelligence, 2022
A Learning-based Iterative Control Framework for Controlling a Robot Arm with Pneumatic Artificial Muscles.
Proceedings of the Robotics: Science and Systems XVIII, New York City, NY, USA, June 27, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Causal Discovery in Heterogeneous Environments Under the Sparse Mechanism Shift Hypothesis.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
When to Make Exceptions: Exploring Language Models as Accounts of Human Moral Judgment.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Sampling without Replacement Leads to Faster Rates in Finite-Sum Minimax Optimization.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Original or Translated? A Causal Analysis of the Impact of Translationese on Machine Translation Performance.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022
Proceedings of the International Conference on Machine Learning, 2022
Functional Generalized Empirical Likelihood Estimation for Conditional Moment Restrictions.
Proceedings of the International Conference on Machine Learning, 2022
Action-Sufficient State Representation Learning for Control with Structural Constraints.
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
Proceedings of the Computer Vision - ECCV 2022, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Cause-effect inference through spectral independence in linear dynamical systems: theoretical foundations.
Proceedings of the 1st Conference on Causal Learning and Reasoning, 2022
Maximum Mean Discrepancy Distributionally Robust Nonlinear Chance-Constrained Optimization with Finite-Sample Guarantee.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022
Proceedings of the 61st IEEE Conference on Decision and Control, 2022
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022
GalilAI: Out-of-Task Distribution Detection using Causal Active Experimentation for Safe Transfer RL.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
Proceedings of the Probabilistic and Causal Inference: The Works of Judea Pearl, 2022
2021
IEEE Trans. Hum. Mach. Syst., 2021
Simpson's Paradox in COVID-19 Case Fatality Rates: A Mediation Analysis of Age-Related Causal Effects.
IEEE Trans. Artif. Intell., 2021
Distributional Robustness Regularized Scenario Optimization with Application to Model Predictive Control.
CoRR, 2021
Representation Learning for Out-Of-Distribution Generalization in Reinforcement Learning.
CoRR, 2021
Shallow Representation is Deep: Learning Uncertainty-aware and Worst-case Random Feature Dynamics.
CoRR, 2021
Algorithmic Recourse in Partially and Fully Confounded Settings Through Bounding Counterfactual Effects.
CoRR, 2021
Pyfectious: An individual-level simulator to discover optimal containment polices for epidemic diseases.
CoRR, 2021
CoRR, 2021
From Majorization to Interpolation: Distributionally Robust Learning using Kernel Smoothing.
CoRR, 2021
Uncertainty estimation and explainability in deep learning-based age estimation of the human brain: Results from the German National Cohort MRI study.
Comput. Medical Imaging Graph., 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Real Robot Challenge 2022: Learning Dexterous Manipulation from Offline Data in the Real World.
Proceedings of the NeurIPS 2022 Competition Track, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track, 2021
Approximate Distributionally Robust Nonlinear Optimization with Application to Model Predictive Control: A Functional Approach.
Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021
Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Causal Curiosity: RL Agents Discovering Self-supervised Experiments for Causal Representation Learning.
Proceedings of the 38th International Conference on Machine Learning, 2021
Conditional Distributional Treatment Effect with Kernel Conditional Mean Embeddings and U-Statistic Regression.
Proceedings of the 38th International Conference on Machine Learning, 2021
Necessary and sufficient conditions for causal feature selection in time series with latent common causes.
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning.
Proceedings of the 9th International Conference on Learning Representations, 2021
Proceedings of the FAccT '21: 2021 ACM Conference on Fairness, 2021
Mining the Cause of Political Decision-Making from Social Media: A Case Study of COVID-19 Policies across the US States.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021
Causal Direction of Data Collection Matters: Implications of Causal and Anticausal Learning for NLP.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Kernel Distributionally Robust Optimization: Generalized Duality Theorem and Stochastic Approximation.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
IEEE Trans. Robotics, 2020
IEEE Robotics Autom. Lett., 2020
A Sober Look at the Unsupervised Learning of Disentangled Representations and their Evaluation.
J. Mach. Learn. Res., 2020
CoRR, 2020
COVI-AgentSim: an Agent-based Model for Evaluating Methods of Digital Contact Tracing.
CoRR, 2020
CoRR, 2020
A survey of algorithmic recourse: definitions, formulations, solutions, and prospects.
CoRR, 2020
CoRR, 2020
Is Independence all you need? On the Generalization of Representations Learned from Correlated Data.
CoRR, 2020
CoRR, 2020
CoRR, 2020
A Spatiotemporal Epidemic Model to Quantify the Effects of Contact Tracing, Testing, and Containment.
CoRR, 2020
SLEIPNIR: Deterministic and Provably Accurate Feature Expansion for Gaussian Process Regression with Derivatives.
CoRR, 2020
Proceedings of the UIST '20: The 33rd Annual ACM Symposium on User Interface Software and Technology, 2020
Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020
Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020
Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020
Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
A Kernel Mean Embedding Approach to Reducing Conservativeness in Stochastic Programming and Control.
Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the xxAI - Beyond Explainable AI, 2020
Proceedings of the 8th International Conference on Learning Representations, 2020
Proceedings of the 8th International Conference on Learning Representations, 2020
Proceedings of the 8th International Conference on Learning Representations, 2020
Proceedings of the 4th Conference on Robot Learning, 2020
Worst-Case Risk Quantification under Distributional Ambiguity using Kernel Mean Embedding in Moment Problem.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020
ODIN: ODE-Informed Regression for Parameter and State Inference in Time-Continuous Dynamical Systems.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
PeerJ Comput. Sci., 2019
Robustifying Independent Component Analysis by Adjusting for Group-Wise Stationary Noise.
J. Mach. Learn. Res., 2019
A New Distribution-Free Concept for Representing, Comparing, and Propagating Uncertainty in Dynamical Systems with Kernel Probabilistic Programming.
CoRR, 2019
Optimal experimental design via Bayesian optimization: active causal structure learning for Gaussian process networks.
CoRR, 2019
CoRR, 2019
The Incomplete Rosetta Stone problem: Identifiability results for Multi-view Nonlinear ICA.
Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019
Coordinating Users of Shared Facilities via Data-driven Predictive Assistants and Game Theory.
Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Selecting causal brain features with a single conditional independence test per feature.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
On the Transfer of Inductive Bias from Simulation to the Real World: a New Disentanglement Dataset.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 2019
Robustly Disentangled Causal Mechanisms: Validating Deep Representations for Interventional Robustness.
Proceedings of the 36th International Conference on Machine Learning, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations.
Proceedings of the 36th International Conference on Machine Learning, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
Disentangled State Space Models: Unsupervised Learning of dynamics across Heterogeneous Environments.
Proceedings of the Deep Generative Models for Highly Structured Data, 2019
Proceedings of the 49. Jahrestagung der Gesellschaft für Informatik, 50 Jahre Gesellschaft für Informatik, 2019
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
Proceedings of the Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems, 2019
2018
IEEE Trans. Image Process., 2018
IEEE Robotics Autom. Lett., 2018
Kernel Distribution Embeddings: Universal Kernels, Characteristic Kernels and Kernel Metrics on Distributions.
J. Mach. Learn. Res., 2018
Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations.
CoRR, 2018
CoRR, 2018
Leveraging the Crowd to Detect and Reduce the Spread of Fake News and Misinformation.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018
Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
Proceedings of the 35th International Conference on Machine Learning, 2018
Proceedings of the 35th International Conference on Machine Learning, 2018
Proceedings of the 35th International Conference on Machine Learning, 2018
Proceedings of the 35th International Conference on Machine Learning, 2018
Proceedings of the 35th International Conference on Machine Learning, 2018
Proceedings of the 6th International Conference on Learning Representations, 2018
Proceedings of the 6th International Conference on Learning Representations, 2018
Proceedings of the 6th International Conference on Learning Representations, 2018
Proceedings of the 6th International Conference on Learning Representations, 2018
Proceedings of the 6th International Conference on Learning Representations, 2018
Proceedings of the 2018 IEEE International Conference on Computational Photography, 2018
Proceedings of the Computer Vision - ECCV 2018, 2018
The Unreasonable Effectiveness of Texture Transfer for Single Image Super-Resolution.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018
Proceedings of the 57th IEEE Conference on Decision and Control, 2018
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018
2017
BundleMAP: Anatomically localized classification, regression, and hypothesis testing in diffusion MRI.
Pattern Recognit., 2017
Found. Trends Mach. Learn., 2017
Proceedings of the 26th International Conference on World Wide Web, 2017
Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017
Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017
Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Interpolated Policy Gradient: Merging On-Policy and Off-Policy Gradient Estimation for Deep Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Proceedings of the 8th International IEEE/EMBS Conference on Neural Engineering, 2017
Causal Discovery from Nonstationary/Heterogeneous Data: Skeleton Estimation and Orientation Determination.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017
Proceedings of the IEEE International Conference on Computer Vision, 2017
Proceedings of the IEEE International Conference on Computer Vision, 2017
Proceedings of the IEEE International Conference on Computer Vision, 2017
Proceedings of the From Vision to Reality, 2017
Closing One's eyes Affects amplitude modulation but not frequency modulation in a Cognitive BCI.
Proceedings of the From Vision to Reality, 2017
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017
2016
ACM Trans. Inf. Syst., 2016
On Estimation of Functional Causal Models: General Results and Application to the Post-Nonlinear Causal Model.
ACM Trans. Intell. Syst. Technol., 2016
ACM Trans. Intell. Syst. Technol., 2016
IEEE Trans. Control. Syst. Technol., 2016
Identification of causal relations in neuroimaging data with latent confounders: An instrumental variable approach.
NeuroImage, 2016
J. Mach. Learn. Res., 2016
Estimating Diffusion Networks: Recovery Conditions, Sample Complexity and Soft-thresholding Algorithm.
J. Mach. Learn. Res., 2016
New Directions for Learning with Kernels and Gaussian Processes (Dagstuhl Seminar 16481).
Dagstuhl Reports, 2016
Proceedings of the 4th International Conference on Learning Representations, 2016
CoRR, 2016
Structural Causal Models: Cycles, Marginalizations, Exogenous Reparametrizations and Reductions.
CoRR, 2016
Transfer Learning in Brain-Computer Interfaces Abstract\uFFFDThe performance of brain-computer interfaces (BCIs) improves with the amount of avail.
IEEE Comput. Intell. Mag., 2016
On the Identifiability and Estimation of Functional Causal Models in the Presence of Outcome-Dependent Selection.
Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016
TerseSVM : A Scalable Approach for Learning Compact Models in Large-scale Classification.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016
Recovery of non-linear cause-effect relationships from linearly mixed neuroimaging data.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2016
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
Proceedings of the 33nd International Conference on Machine Learning, 2016
Proceedings of the 33nd International Conference on Machine Learning, 2016
Jointly learning trajectory generation and hitting point prediction in robot table tennis.
Proceedings of the 16th IEEE-RAS International Conference on Humanoid Robots, 2016
Proceedings of the 16th IEEE-RAS International Conference on Humanoid Robots, 2016
Approximate dual control maintaining the value of information with an application to building control.
Proceedings of the 15th European Control Conference, 2016
Proceedings of the Pattern Recognition - 38th German Conference, 2016
Proceedings of the Computer Vision - ACCV 2016, 2016
2015
Computing functions of random variables via reproducing kernel Hilbert space representations.
Stat. Comput., 2015
NeuroImage, 2015
J. Mach. Learn. Res., 2015
Computing Functions of Random Variables via Reproducing Kernel Hilbert Space Representations.
CoRR, 2015
A Cognitive Brain-Computer Interface for Patients with Amyotrophic Lateral Sclerosis.
Proceedings of the 2015 IEEE International Conference on Systems, 2015
Proceedings of the Machine Learning in Medical Imaging - 6th International Workshop, 2015
Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015
Proceedings of the 32nd International Conference on Machine Learning, 2015
Proceedings of the 32nd International Conference on Machine Learning, 2015
Proceedings of the 32nd International Conference on Machine Learning, 2015
Proceedings of the Machine Learning Meets Medical Imaging - First International Workshop, 2015
Proceedings of the 32nd International Conference on Machine Learning, 2015
Causal Inference by Identification of Vector Autoregressive Processes with Hidden Components.
Proceedings of the 32nd International Conference on Machine Learning, 2015
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015
Brain-computer interfacing in amyotrophic lateral sclerosis: Implications of a resting-state EEG analysis.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
2014
Cost-Sensitive Active Learning With Lookahead: Optimizing Field Surveys for Remote Sensing Data Classification.
IEEE Trans. Geosci. Remote. Sens., 2014
Netw. Sci., 2014
Neural Comput., 2014
Biol. Cybern., 2014
Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014
Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014
Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2014
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014
Quantifying Information Overload in Social Media and Its Impact on Social Contagions.
Proceedings of the Eighth International Conference on Weblogs and Social Media, 2014
Proceedings of the 31th International Conference on Machine Learning, 2014
Proceedings of the 31th International Conference on Machine Learning, 2014
Proceedings of the 31th International Conference on Machine Learning, 2014
Estimating Diffusion Network Structures: Recovery Conditions, Sample Complexity & Soft-thresholding Algorithm.
Proceedings of the 31th International Conference on Machine Learning, 2014
Proceedings of the Pattern Recognition - 36th German Conference, 2014
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014
Open Problem: Finding Good Cascade Sampling Processes for the Network Inference Problem.
Proceedings of The 27th Conference on Learning Theory, 2014
Proceedings of the 4th International Workshop on Cognitive Information Processing, 2014
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014
2013
Int. J. Robotics Res., 2013
HiFiVE: A Hilbert Space Embedding of Fiber Variability Estimates for Uncertainty Modeling and Visualization.
Comput. Graph. Forum, 2013
Proceedings of the Sixth ACM International Conference on Web Search and Data Mining, 2013
Identifying Finite Mixtures of Nonparametric Product Distributions and Causal Inference of Confounders.
Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence, 2013
Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence, 2013
From Ordinary Differential Equations to Structural Causal Models: the deterministic case.
Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence, 2013
How to Test the Quality of Reconstructed Sources in Independent Component Analysis (ICA) of EEG/MEG Data.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2013
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
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
Statistical analysis of coupled time series with Kernel Cross-Spectral Density operators.
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
Proceedings of the 30th International Conference on Machine Learning, 2013
Proceedings of the 30th International Conference on Machine Learning, 2013
Proceedings of the 30th International Conference on Machine Learning, 2013
Proceedings of the IEEE International Conference on Image Processing, 2013
On Estimation of Functional Causal Models: Post-Nonlinear Causal Model as an Example.
Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013
On a Link Between Kernel Mean Maps and Fraunhofer Diffraction, with an Application to Super-Resolution Beyond the Diffraction Limit.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013
On the Relations and Differences Between Popper Dimension, Exclusion Dimension and VC-Dimension.
Proceedings of the Empirical Inference - Festschrift in Honor of Vladimir N. Vapnik, 2013
Proceedings of the Empirical Inference - Festschrift in Honor of Vladimir N. Vapnik, 2013
Proceedings of the 51st Annual Allerton Conference on Communication, 2013
2012
easyGWAS: An integrated interspecies platform for performing genome-wide association studies
CoRR, 2012
Proceedings of the Robotics: Science and Systems VIII, 2012
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
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
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
Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012
Proceedings of the 29th International Conference on Machine Learning, 2012
Proceedings of the 29th International Conference on Machine Learning, 2012
Proceedings of the 29th International Conference on Machine Learning, 2012
Proceedings of the 19th IEEE International Conference on Image Processing, 2012
Proceedings of the Computer Vision - ECCV 2012, 2012
Recording and Playback of Camera Shake: Benchmarking Blind Deconvolution with a Real-World Database.
Proceedings of the Computer Vision - ECCV 2012, 2012
2011
Proceedings of the Inductive Logic, 2011
IEEE Trans. Pattern Anal. Mach. Intell., 2011
Neural Comput., 2011
J. Comput. Biol., 2011
Proceedings of the UAI 2011, 2011
Proceedings of the UAI 2011, 2011
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011
Proceedings of the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011
Proceedings of the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011
Proceedings of the 28th International Conference on Machine Learning, 2011
Proceedings of the 28th International Conference on Machine Learning, 2011
Proceedings of the IEEE International Conference on Computer Vision, 2011
Proceedings of the IEEE International Conference on Computer Vision, 2011
Proceedings of the 2011 IEEE International Conference on Computational Photography, 2011
Proceedings of the IEEE International Conference on Acoustics, 2011
2010
IEEE Trans. Inf. Theory, 2010
SIAM J. Imaging Sci., 2010
IEEE Geosci. Remote. Sens. Lett., 2010
J. Mach. Learn. Res., 2010
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010
Proceedings of the Causality: Objectives and Assessment (NIPS 2008 Workshop), 2010
Causal relationships between frequency bands of extracellular signals in visual cortex revealed by an information theoretic analysis.
J. Comput. Neurosci., 2010
Invariant Gaussian Process Latent Variable Models and Application in Causal Discovery.
Proceedings of the UAI 2010, 2010
Closing the sensorimotor loop: Haptic feedback facilitates decoding of arm movement imagery.
Proceedings of the IEEE International Conference on Systems, 2010
Proceedings of the Research in Computational Molecular Biology, 2010
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
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
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
Proceedings of the IEEE International Symposium on Information Theory, 2010
Proceedings of the Information Hiding - 12th International Conference, 2010
Proceedings of the IEEE International Conference on Robotics and Automation, 2010
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010
Multiframe blind deconvolution, super-resolution, and saturation correction via incremental EM.
Proceedings of the International Conference on Image Processing, 2010
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010
Proceedings of the COLT 2010, 2010
2009
Proceedings of the UAI 2009, 2009
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009
Proceedings of the KI 2009: Advances in Artificial Intelligence, 2009
Proceedings of the 2nd ACM SIGKDD Workshop on Data Mining using Matrices and Tensors, 2009
Proceedings of the 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2009
Proceedings of the 26th Annual International Conference on Machine Learning, 2009
Regression by dependence minimization and its application to causal inference in additive noise models.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009
09401 Abstracts Collection - Machine learning approaches to statistical dependences and causality.
Proceedings of the Machine learning approaches to statistical dependences and causality, 27.09., 2009
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009
2008
PLoS Comput. Biol., 2008
Causal reasoning by evaluating the complexity of conditional densities with kernel methods.
Neurocomputing, 2008
Comput. Graph. Forum, 2008
Proceedings of the Advances in Neural Information Processing Systems 21, 2008
Proceedings of the Advances in Neural Information Processing Systems 21, 2008
Proceedings of the Advances in Neural Information Processing Systems 21, 2008
Proceedings of the Advances in Neural Information Processing Systems 21, 2008
Effects of Stimulus Type and of Error-Correcting Code Design on BCI Speller Performance.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008
Proceedings of the Advances in Neural Information Processing Systems 21, 2008
Proceedings of the Machine Learning, 2008
Proceedings of the Machine Learning, 2008
Proceedings of the Advances in Data Analysis, Data Handling and Business Intelligence, 2008
Proceedings of the 8th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2008), 2008
Proceedings of the 16th European Symposium on Artificial Neural Networks, 2008
Proceedings of the Computer Vision, 2008
Proceedings of the 21st Annual Conference on Learning Theory, 2008
2007
Real-Time Fetal Heart Monitoring in Biomagnetic Measurements Using Adaptive Real-Time ICA.
IEEE Trans. Biomed. Eng., 2007
IEEE Trans Autom. Sci. Eng., 2007
Improving the <i>Caenorhabditis elegans</i> Genome Annotation Using Machine Learning.
PLoS Comput. Biol., 2007
Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007
Proceedings of the Advances in Neural Information Processing Systems 20, 2007
Proceedings of the Advances in Neural Information Processing Systems 20, 2007
Proceedings of the Advances in Neural Information Processing Systems 20, 2007
Distinguishing between cause and effect via kernel-based complexity measures for conditional distributions.
Proceedings of the 15th European Symposium on Artificial Neural Networks, 2007
How to Find Interesting Locations in Video: A Spatiotemporal Interest Point Detector Learned from Human Eye Movements.
Proceedings of the Pattern Recognition, 2007
Proceedings of the Autonome Mobile Systeme 2007, 2007
Proceedings of the Algorithmic Learning Theory, 18th International Conference, 2007
Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007
2006
Neural Comput., 2006
J. Mach. Learn. Res., 2006
Comput. Graph. Forum, 2006
Proceedings of the Advances in Neural Information Processing Systems 19, 2006
Proceedings of the Advances in Neural Information Processing Systems 19, 2006
Proceedings of the Advances in Neural Information Processing Systems 19, 2006
Proceedings of the Advances in Neural Information Processing Systems 19, 2006
Proceedings of the Advances in Neural Information Processing Systems 19, 2006
Proceedings of the Advances in Neural Information Processing Systems 19, 2006
Proceedings of the Advances in Neural Information Processing Systems 19, 2006
Proceedings of the Proceedings 14th International Conference on Intelligent Systems for Molecular Biology 2006, 2006
Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2006
Proceedings of the Pattern Recognition, 2006
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2006
Proceedings of the Feature Extraction - Foundations and Applications, 2006
Proceedings of the Semi-Supervised Learning, 2006
Proceedings of the Semi-Supervised Learning, 2006
2005
IEEE Trans. Pattern Anal. Mach. Intell., 2005
Experimentally optimal nu in support vector regression for different noise models and parameter settings.
Neural Networks, 2005
EURASIP J. Adv. Signal Process., 2005
Proceedings of the Machine Learning Challenges, 2005
Proceedings of the Computational Intelligence and Bioinspired Systems, 2005
Long Term Prediction of Product Quality in a Glass Manufacturing Process Using a Kernel Based Approach.
Proceedings of the Computational Intelligence and Bioinspired Systems, 2005
Proceedings of the Proceedings Thirteenth International Conference on Intelligent Systems for Molecular Biology 2005, 2005
Proceedings of the Machine Learning, 2005
Proceedings of the Machine Learning, 2005
Proceedings of the Machine Learning, 2005
Proceedings of the Machine Learning, 2005
Proceedings of the Machine Learning, 2005
Proceedings of the Machine Learning: ECML 2005, 2005
Proceedings of the ECCB/JBI'05 Proceedings, Fourth European Conference on Computational Biology/Sixth Meeting of the Spanish Bioinformatics Network (Jornadas de BioInformática), Palacio de Congresos, Madrid, Spain, September 28, 2005
Proceedings of the Pattern Recognition, 27th DAGM Symposium, Vienna, Austria, August 31, 2005
Proceedings of the Algorithmic Learning Theory, 16th International Conference, 2005
Proceedings of the Tenth International Workshop on Artificial Intelligence and Statistics, 2005
2004
Experimentally optimal v in support vector regression for different noise models and parameter settings.
Neural Networks, 2004
Int. J. Artif. Intell. Tools, 2004
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004
Proceedings of the Machine Learning, 2004
Proceedings of the Pattern Recognition, 26th DAGM Symposium, August 30, 2004
Proceedings of the Pattern Recognition, 26th DAGM Symposium, August 30, 2004
Proceedings of the Pattern Recognition, 26th DAGM Symposium, August 30, 2004
Proceedings of the Pattern Recognition, 26th DAGM Symposium, August 30, 2004
2003
Constructing Descriptive and Discriminative Nonlinear Features: Rayleigh Coefficients in Kernel Feature Spaces.
IEEE Trans. Pattern Anal. Mach. Intell., 2003
J. Mach. Learn. Res., 2003
Feature selection and transduction for prediction of molecular bioactivity for drug design.
Bioinform., 2003
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003
Proceedings of the 15th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2003), 2003
2002
Constructing Boosting Algorithms from SVMs: An Application to One-Class Classification.
IEEE Trans. Pattern Anal. Mach. Intell., 2002
AI Mag., 2002
Proceedings of the Principles of Data Mining and Knowledge Discovery, 2002
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002
Proceedings of the Advanced Lectures on Machine Learning, 2002
Proceedings of the Advanced Lectures on Machine Learning, 2002
Learning with Kernels: support vector machines, regularization, optimization, and beyond.
Adaptive computation and machine learning series, MIT Press, ISBN: 9780262194754, 2002
2001
IEEE Trans. Neural Networks, 2001
Generalization performance of regularization networks and support vector machines via entropy numbers of compact operators.
IEEE Trans. Inf. Theory, 2001
Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001
Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001
Estimating a Kernel Fisher Discriminant in the Presence of Label Noise.
Proceedings of the Eighteenth International Conference on Machine Learning (ICML 2001), Williams College, Williamstown, MA, USA, June 28, 2001
Proceedings of the Eighth International Conference On Computer Vision (ICCV-01), Vancouver, British Columbia, Canada, July 7-14, 2001, 2001
Proceedings of the Eighth International Conference On Computer Vision (ICCV-01), Vancouver, British Columbia, Canada, July 7-14, 2001, 2001
Proceedings of the Computational Learning Theory, 2001
Proceedings of the Eighth International Workshop on Artificial Intelligence and Statistics, 2001
Proceedings of the Eighth International Workshop on Artificial Intelligence and Statistics, 2001
Proceedings of the Data Fusion and Perception, 2001
2000
Engineering support vector machine kernels that recognize translation initiation sites.
Bioinform., 2000
Proceedings of the Knowledge Discovery and Data Mining, 2000
Four-legged Walking Gait Control Using a Neuromorphic Chip Interfaced to a Support Vector Learning Algorithm.
Proceedings of the Advances in Neural Information Processing Systems 13, 2000
Proceedings of the Advances in Neural Information Processing Systems 13, 2000
Proceedings of the Advances in Neural Information Processing Systems 13, 2000
Choosing in Support Vector Regression with Different Noise Models: Theory and Experiments.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000
Sparse Greedy Matrix Approximation for Machine Learning.
Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000
Entropy Numbers of Linear Function Classes.
Proceedings of the Thirteenth Annual Conference on Computational Learning Theory (COLT 2000), June 28, 2000
1999
IEEE Trans. Neural Networks, 1999
Inform. Forsch. Entwickl., 1999
Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999
Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999
Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999
Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999
Engineering Support Vector Machine Kerneis That Recognize Translation Initialion Sites.
Proceedings of the German Conference on Bioinformatics, 1999
Proceedings of the Computational Learning Theory, 4th European Conference, 1999
1998
Neural Networks, 1998
Biol. Cybern., 1998
On a Kernel-Based Method for Pattern Recognition, Regression, Approximation, and Operator Inversion.
Algorithmica, 1998
Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998
Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998
Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998
Fast Approximation of Support Vector Kernel Expansions, and an Interpretation of Clustering as Approximation in Feature Spaces.
Proceedings of the Mustererkennung 1998, 20. DAGM-Symposium, Stuttgart, 29. September, 1998
Proceedings of the Mustererkennung 1998, 20. DAGM-Symposium, Stuttgart, 29. September, 1998
1997
Comparing support vector machines with Gaussian kernels to radial basis function classifiers.
IEEE Trans. Signal Process., 1997
Proceedings of the Advances in Neural Information Processing Systems 10, 1997
Proceedings of the Advances in Neural Information Processing Systems 10, 1997
Proceedings of the Artificial Neural Networks, 1997
Proceedings of the Artificial Neural Networks, 1997
Proceedings of the Artificial Neural Networks, 1997
Proceedings of the First International Conference on Autonomous Agents, 1997
1996
Proceedings of the Advances in Neural Information Processing Systems 9, 1996
Proceedings of the Artificial Neural Networks, 1996
Proceedings of the Artificial Neural Networks, 1996
1995
Proceedings of the First International Conference on Knowledge Discovery and Data Mining (KDD-95), 1995