Cornelius Weber

According to our database1, Cornelius Weber authored at least 100 papers between 2000 and 2020.

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Bibliography

2020
Integrating Image-Based and Knowledge-Based Representation Learning.
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

Crossmodal Language Grounding in an Embodied Neurocognitive Model.
CoRR, 2020

Multimodal Target Speech Separation with Voice and Face References.
CoRR, 2020

EDA: Enriching Emotional Dialogue Acts using an Ensemble of Neural Annotators.
Proceedings of The 12th Language Resources and Evaluation Conference, 2020

Neural Networks for Detecting Irrelevant Questions During Visual Question Answering.
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

Bootstrapping Knowledge Graphs From Images and Text.
Frontiers Neurorobotics, 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 Interspeech 2019, 2019

LipSound: Neural Mel-Spectrogram Reconstruction for Lip Reading.
Proceedings of the Interspeech 2019, 2019

Effect of Pruning on Catastrophic Forgetting in Growing Dual Memory Networks.
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

Designing a Personality-Driven Robot for a Human-Robot Interaction Scenario.
Proceedings of the International Conference on Robotics and Automation, 2019

Incorporating End-to-End Speech Recognition Models for Sentiment Analysis.
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

Learning Sparse Hidden States in Long Short-Term Memory.
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

Action Selection Methods in a Robotic Reinforcement Learning Scenario.
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 Interspeech 2018, 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

EmoRL: Continuous Acoustic Emotion Classification Using Deep Reinforcement Learning.
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

Combining Articulatory Features with End-to-End Learning in Speech Recognition.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

Image-to-Text Transduction with Spatial Self-Attention.
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
Lifelong learning of human actions with deep neural network self-organization.
Neural Networks, 2017

An analysis of Convolutional Long Short-Term Memory Recurrent Neural Networks for gesture recognition.
Neurocomputing, 2017

Emotion-modulated attention improves expression recognition: A deep learning model.
Neurocomputing, 2017

Spectral Ergodicity in Deep Learning Architectures via Surrogate Random Matrices.
CoRR, 2017

Emergence of multimodal action representations from neural network self-organization.
Cogn. Syst. Res., 2017


Reusing Neural Speech Representations for Auditory Emotion Recognition.
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

The Impact of Personalisation on Human-Robot Interaction in Learning Scenarios.
Proceedings of the 5th International Conference on Human Agent Interaction, 2017

Automatically augmenting an emotion dataset improves classification using audio.
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

2016
Training Agents With Interactive Reinforcement Learning and Contextual Affordances.
IEEE Trans. Cogn. Dev. Syst., 2016

Ball Localization for Robocup Soccer Using Convolutional Neural Networks.
Proceedings of the RoboCup 2016: Robot World Cup XX [Leipzig, Germany, June 30, 2016

Crossmodal Language Grounding, Learning, and Teaching.
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

Learning auditory neural representations for emotion recognition.
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

Interactive reinforcement learning through speech guidance in a domestic scenario.
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
Socially Assistive Robots: A Comprehensive Approach to Extending Independent Living.
Int. J. Soc. Robotics, 2014

Improving reinforcement learning with interactive feedback and affordances.
Proceedings of the 4th International Conference on Development and Learning and on Epigenetic Robotics, 2014

Human Action Recognition with Hierarchical Growing Neural Gas Learning.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2014, 2014

RatSLAM on Humanoids - A Bio-Inspired SLAM Model Adapted to a Humanoid Robot.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2014, 2014

A Multichannel Convolutional Neural Network for Hand Posture Recognition.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2014, 2014

2013
Learning indoor robot navigation using visual and sensorimotor map information.
Frontiers Neurorobotics, 2013

Embodied Language Understanding with a Multiple Timescale Recurrent Neural Network.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2013, 2013

2012
Real-world reinforcement learning for autonomous humanoid robot docking.
Robotics Auton. Syst., 2012

A predictive network architecture for a robust and smooth robot docking behavior.
Paladyn J. Behav. Robotics, 2012

A neural approach for robot navigation based on cognitive map learning.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

A SOM-based model for multi-sensory integration in the superior colliculus.
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
Learning the Optimal Control of Coordinated Eye and Head Movements.
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

Reward-driven learning of sensorimotor laws and visual features.
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

Person Tracking Based on a Hybrid Neural Probabilistic Model.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2011, 2011

2009
Goal-directed learning of features and forward models.
Neural Networks, 2009

Goal-directed feature learning.
Proceedings of the International Joint Conference on Neural Networks, 2009

A neural model for the adaptive control of saccadic eye movements.
Proceedings of the International Joint Conference on Neural Networks, 2009

2008
A Sparse Generative Model of V1 Simple Cells with Intrinsic Plasticity.
Neural Comput., 2008

How do we approach intrinsic motivation computationally.
Frontiers Neurorobotics, 2008

From Exploration to Planning.
Proceedings of the Artificial Neural Networks, 2008

2007
A self-organizing map of sigma-pi units.
Neurocomputing, 2007

2006
A hybrid generative and predictive model of the motor cortex.
Neural Networks, 2006

A camera-direction dependent visual-motor coordinate transformation for a visually guided neural robot.
Knowl. Based Syst., 2006

Robot docking based on omnidirectional vision and reinforcement learning.
Knowl. Based Syst., 2006

2005
Grounding Neural Robot Language in Action.
Proceedings of the Biomimetic Neural Learning for Intelligent Robots, 2005

Towards Biomimetic Neural Learning for Intelligent Robots.
Proceedings of the Biomimetic Neural Learning for Intelligent Robots, 2005

Image Segmentation by Complex-Valued Units.
Proceedings of the Artificial Neural Networks: Biological Inspirations, 2005

Reinforcement Learning in MirrorBot.
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
Towards multimodal neural robot learning.
Robotics Auton. Syst., 2004

Robot docking with neural vision and reinforcement.
Knowl. Based Syst., 2004

2003
Object Localisation Using Laterally Connected "What" and "Where" Associator Networks.
Proceedings of the Artificial Neural Networks and Neural Information Processing, 2003

Learning Localisation Based on Landmarks Using Self-Organisation.
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

Emergence of Modularity within One Sheet of Neurons: A Model Comparison.
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


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