Cornelius Weber
Orcid: 0000-0001-5163-938X
According to our database1,
Cornelius Weber
authored at least 143 papers
between 2000 and 2024.
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Bibliography
2024
LipSound2: Self-Supervised Pre-Training for Lip-to-Speech Reconstruction and Lip Reading.
IEEE Trans. Neural Networks Learn. Syst., February, 2024
IEEE ACM Trans. Audio Speech Lang. Process., 2024
Nat. Lang. Process. J., 2024
CoRR, 2024
Proceedings of the ICT Systems Security and Privacy Protection, 2024
Proceedings of the IEEE International Conference on Acoustics, 2024
Enhancing Zero-Shot Chain-of-Thought Reasoning in Large Language Models through Logic.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
2023
IEEE Trans. Cogn. Dev. Syst., December, 2023
Learning Bidirectional Action-Language Translation with Limited Supervision and Testing with Incongruent Input.
Appl. Artif. Intell., December, 2023
Emphasizing unseen words: New vocabulary acquisition for end-to-end speech recognition.
Neural Networks, April, 2023
Artif. Intell. Rev., February, 2023
Neurocomputing, 2023
Accelerating Reinforcement Learning of Robotic Manipulations via Feedback from Large Language Models.
CoRR, 2023
Learning Bidirectional Action-Language Translation with Limited Supervision and Incongruent Extra Input.
CoRR, 2023
Chat with the Environment: Interactive Multimodal Perception Using Large Language Models.
IROS, 2023
Sample-Efficient Real-Time Planning with Curiosity Cross-Entropy Method and Contrastive Learning.
IROS, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Frontiers Neurorobotics, September, 2022
Neurocomputing, 2022
Data Augmentation with Unsupervised Speaking Style Transfer for Speech Emotion Recognition.
CoRR, 2022
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022
Impact Makes a Sound and Sound Makes an Impact: Sound Guides Representations and Explorations.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022
Knowing Earlier What Right Means to You: A Comprehensive VQA Dataset for Grounding Relative Directions via Multi-task Learning.
Proceedings of the 1st International Workshop on Spatio-Temporal Reasoning and Learning (STRL 2022) co-located with the 31st International Joint Conference on Artificial Intelligence and the 25th European Conference on Artificial Intelligence (IJCAI 2022, 2022
What is Right for Me is Not Yet Right for You: A Dataset for Grounding Relative Directions via Multi-Task Learning.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
More Diverse Training, Better Compositionality! Evidence from Multimodal Language Learning.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022
2021
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021
Planning-integrated Policy for Efficient Reinforcement Learning in Sparse-reward Environments.
Proceedings of the International Joint Conference on Neural Networks, 2021
Improving Model-Based Reinforcement Learning with Internal State Representations through Self-Supervision.
Proceedings of the International Joint Conference on Neural Networks, 2021
Proceedings of the International Joint Conference on Neural Networks, 2021
Proceedings of the International Joint Conference on Neural Networks, 2021
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021
Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2021
2020
IEEE Trans. Cogn. Dev. Syst., 2020
Improving robot dual-system motor learning with intrinsically motivated meta-control and latent-space experience imagination.
Robotics Auton. Syst., 2020
Frontiers Neurorobotics, 2020
Proceedings of The 12th Language Resources and Evaluation Conference, 2020
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020
Variational Autoencoder with Global- and Medium Timescale Auxiliaries for Emotion Recognition from Speech.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020
2019
Deep Intrinsically Motivated Continuous Actor-Critic for Efficient Robotic Visuomotor Skill Learning.
Paladyn J. Behav. Robotics, 2019
Enriching Existing Conversational Emotion Datasets with Dialogue Acts using Neural Annotators.
CoRR, 2019
Periodic Spectral Ergodicity: A Complexity Measure for Deep Neural Networks and Neural Architecture Search.
CoRR, 2019
What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective.
CoRR, 2019
Virtual or Physical? Social Robots Teaching a Fictional Language Through a Role-Playing Game Inspired by Game of Thrones.
Proceedings of the Social Robotics - 11th International Conference, 2019
Predictive Auxiliary Variational Autoencoder for Representation Learning of Global Speech Characteristics.
Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019
Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019
Proceedings of the International Joint Conference on Neural Networks, 2019
Curious Meta-Controller: Adaptive Alternation between Model-Based and Model-Free Control in Deep Reinforcement Learning.
Proceedings of the International Joint Conference on Neural Networks, 2019
Proceedings of the International Conference on Robotics and Automation, 2019
Proceedings of the International Conference on Robotics and Automation, 2019
Efficient Intrinsically Motivated Robotic Grasping with Learning-Adaptive Imagination in Latent Space.
Proceedings of the Joint IEEE 9th International Conference on Development and Learning and Epigenetic Robotics, 2019
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Deep Learning, 2019
2018
Deep reinforcement learning using compositional representations for performing instructions.
Paladyn J. Behav. Robotics, 2018
Lifelong Learning of Spatiotemporal Representations With Dual-Memory Recurrent Self-Organization.
Frontiers Neurorobotics, 2018
Discourse-Wizard: Discovering Deep Discourse Structure in your Conversation with RNNs.
CoRR, 2018
A Context-based Approach for Dialogue Act Recognition using Simple Recurrent Neural Networks.
Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2018
On the Robustness of Speech Emotion Recognition for Human-Robot Interaction with Deep Neural Networks.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018
Conversational Analysis Using Utterance-level Attention-based Bidirectional Recurrent Neural Networks.
Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018
A Self-organizing Method for Robot Navigation based on Learned Place and Head-Direction Cells.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018
A Hybrid Planning Strategy Through Learning from Vision for Target-Directed Navigation.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018
Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018
A Sub-Layered Hierarchical Pyramidal Neural Architecture for Facial Expression Recognition.
Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018
Slowness-based neural visuomotor control with an Intrinsically motivated Continuous Actor-Critic.
Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018
KT-Speech-Crawler: Automatic Dataset Construction for Speech Recognition from YouTube Videos.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, 2018
2017
Neural Networks, 2017
An analysis of Convolutional Long Short-Term Memory Recurrent Neural Networks for gesture recognition.
Neurocomputing, 2017
Neurocomputing, 2017
CoRR, 2017
Emergence of multimodal action representations from neural network self-organization.
Cogn. Syst. Res., 2017
Proceedings of the 26th IEEE International Symposium on Robot and Human Interactive Communication, 2017
Proceedings of the Eighth International Joint Conference on Natural Language Processing, 2017
Curiosity-driven exploration enhances motor skills of continuous actor-critic learner.
Proceedings of the 2017 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics, 2017
Robot Localization and Orientation Detection Based on Place Cells and Head-Direction Cells.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017
Dialogue-Based Neural Learning to Estimate the Sentiment of a Next Upcoming Utterance.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017
Proceedings of the 5th International Conference on Human Agent Interaction, 2017
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017
2016
IEEE Trans. Cogn. Dev. Syst., 2016
Proceedings of the RoboCup 2016: Robot World Cup XX [Leipzig, Germany, June 30, 2016
Proceedings of the Workshop on Cognitive Computation: Integrating neural and symbolic approaches 2016 co-located with the 30th Annual Conference on Neural Information Processing Systems (NIPS 2016), 2016
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
2015
Multimodal emotional state recognition using sequence-dependent deep hierarchical features.
Neural Networks, 2015
Self-organizing neural integration of pose-motion features for human action recognition.
Frontiers Neurorobotics, 2015
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
Emotional expression recognition with a cross-channel convolutional neural network for human-robot interaction.
Proceedings of the 15th IEEE-RAS International Conference on Humanoid Robots, 2015
2014
Int. J. Soc. Robotics, 2014
Proceedings of the 4th International Conference on Development and Learning and on Epigenetic Robotics, 2014
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2014, 2014
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2014, 2014
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2014, 2014
2013
Frontiers Neurorobotics, 2013
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2013, 2013
2012
Robotics Auton. Syst., 2012
Paladyn J. Behav. Robotics, 2012
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012
Learning Features and Predictive Transformation Encoding Based on a Horizontal Product Model.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012
Hybrid Ensembles Using Hopfield Neural Networks and Haar-Like Features for Face Detection.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012
Adaptive Learning of Linguistic Hierarchy in a Multiple Timescale Recurrent Neural Network.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012
Adaboost and Hopfield Neural Networks on different image representations for robust face detection.
Proceedings of the 12th International Conference on Hybrid Intelligent Systems, 2012
2011
PLoS Comput. Biol., 2011
A hybrid probabilistic neural model for person tracking based on a ceiling-mounted camera.
J. Ambient Intell. Smart Environ., 2011
Real-World Reinforcement Learning for Autonomous Humanoid Robot Charging in a Home Environment.
Proceedings of the Towards Autonomous Robotic Systems - 12th Annual Conference, 2011
Proceedings of the 1st International Conference on Development and Learning and on Epigenetic Robotics, 2011
Robot Trajectory Prediction and Recognition Based on a Computational Mirror Neurons Model.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2011, 2011
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2011, 2011
2009
Proceedings of the International Joint Conference on Neural Networks, 2009
Proceedings of the International Joint Conference on Neural Networks, 2009
2008
Neural Comput., 2008
Frontiers Neurorobotics, 2008
2007
2006
A camera-direction dependent visual-motor coordinate transformation for a visually guided neural robot.
Knowl. Based Syst., 2006
Knowl. Based Syst., 2006
2005
Proceedings of the Biomimetic Neural Learning for Intelligent Robots, 2005
Proceedings of the Biomimetic Neural Learning for Intelligent Robots, 2005
Proceedings of the Artificial Neural Networks: Biological Inspirations, 2005
Proceedings of the Artificial Neural Networks: Biological Inspirations, 2005
Grasping with flexible viewing-direction with a learned coordinate transformation network.
Proceedings of the 5th IEEE-RAS International Conference on Humanoid Robots, 2005
2004
2003
Object Localisation Using Laterally Connected "What" and "Where" Associator Networks.
Proceedings of the Artificial Neural Networks and Neural Information Processing, 2003
Proceedings of the Artificial Neural Networks and Neural Information Processing, 2003
2001
Maximum a posteriori models for cortical modeling: feature detectors, topography and modularity.
PhD thesis, 2001
Proceedings of the Emergent Neural Computational Architectures Based on Neuroscience, 2001
Self-Organization of Orientation Maps, Lateral Connections, and Dynamic Receptive Fields in the Primary Visual Cortex.
Proceedings of the Artificial Neural Networks, 2001
2000
Structured Models from Structured Data: Emergence of Modular Information Processing within One Sheet of Neurons.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000