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Cornelius Weber
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2020 – today
- 2023
- [j31]Víctor Uc-Cetina
, Nicolás Navarro-Guerrero
, Anabel Martín-González, Cornelius Weber, Stefan Wermter
:
Survey on reinforcement learning for language processing. Artif. Intell. Rev. 56(2): 1543-1575 (2023) - [i45]Ozan Özdemir, Matthias Kerzel, Cornelius Weber, Jae Hee Lee, Muhammad Burhan Hafez, Patrick Bruns, Stefan Wermter
:
Learning Bidirectional Action-Language Translation with Limited Supervision and Incongruent Extra Input. CoRR abs/2301.03353 (2023) - [i44]Mengdi Li, Xufeng Zhao, Jae Hee Lee, Cornelius Weber, Stefan Wermter
:
Internally Rewarded Reinforcement Learning. CoRR abs/2302.00270 (2023) - [i43]Leyuan Qu, Cornelius Weber, Stefan Wermter:
Emphasizing Unseen Words: New Vocabulary Acquisition for End-to-End Speech Recognition. CoRR abs/2302.09723 (2023) - [i42]Mostafa Kotb, Cornelius Weber, Stefan Wermter:
Sample-efficient Real-time Planning with Curiosity Cross-Entropy Method and Contrastive Learning. CoRR abs/2303.03787 (2023) - [i41]Xufeng Zhao, Mengdi Li, Cornelius Weber, Muhammad Burhan Hafez, Stefan Wermter:
Chat with the Environment: Interactive Multimodal Perception using Large Language Models. CoRR abs/2303.08268 (2023) - 2022
- [j30]Vadym Gryshchuk, Cornelius Weber, Chu Kiong Loo, Stefan Wermter
:
Go ahead and do not forget: Modular lifelong learning from event-based data. Neurocomputing 500: 1063-1074 (2022) - [c86]Yuliia Lysa, Cornelius Weber, Dennis Becker, Stefan Wermter
:
Word-by-Word Generation of Visual Dialog Using Reinforcement Learning. ICANN (2) 2022: 123-135 - [c85]Ozan Özdemir, Matthias Kerzel, Cornelius Weber, Jae Hee Lee
, Stefan Wermter
:
Learning Flexible Translation Between Robot Actions and Language Descriptions. ICANN (2) 2022: 246-257 - [c84]Xiaowen Sun, Cornelius Weber, Matthias Kerzel, Tom Weber, Mengdi Li, Stefan Wermter
:
Learning Visually Grounded Human-Robot Dialog in a Hybrid Neural Architecture. ICANN (2) 2022: 258-269 - [c83]Caspar Volquardsen, Jae Hee Lee
, Cornelius Weber, Stefan Wermter
:
More Diverse Training, Better Compositionality! Evidence from Multimodal Language Learning. ICANN (3) 2022: 417-428 - [c82]Younes Raoui, Cornelius Weber, Stefan Wermter
:
NeoSLAM: Neural Object SLAM for Loop Closure and Navigation. ICANN (3) 2022: 443-455 - [c81]Jae Hee Lee
, Matthias Kerzel, Kyra Ahrens, Cornelius Weber, Stefan Wermter:
What is Right for Me is Not Yet Right for You: A Dataset for Grounding Relative Directions via Multi-Task Learning. IJCAI 2022: 1039-1045 - [c80]Kyra Ahrens, Matthias Kerzel, Jae Hee Lee, Cornelius Weber, Stefan Wermter:
Knowing Earlier What Right Means to You: A Comprehensive VQA Dataset for Grounding Relative Directions via Multi-task Learning. STRL@IJCAI 2022 - [c79]Xufeng Zhao, Cornelius Weber, Muhammad Burhan Hafez
, Stefan Wermter:
Impact Makes a Sound and Sound Makes an Impact: Sound Guides Representations and Explorations. IROS 2022: 2512-2518 - [c78]Gerald Schwiebert, Cornelius Weber, Leyuan Qu, Henrique Siqueira, Stefan Wermter:
A Multimodal German Dataset for Automatic Lip Reading Systems and Transfer Learning. LREC 2022: 6829-6836 - [i40]Ozan Özdemir, Matthias Kerzel, Cornelius Weber, Jae Hee Lee, Stefan Wermter
:
Language Model-Based Paired Variational Autoencoders for Robotic Language Learning. CoRR abs/2201.06317 (2022) - [i39]Gerald Schwiebert, Cornelius Weber, Leyuan Qu, Henrique Siqueira, Stefan Wermter
:
A Multimodal German Dataset for Automatic Lip Reading Systems and Transfer Learning. CoRR abs/2202.13403 (2022) - [i38]Jae Hee Lee, Matthias Kerzel, Kyra Ahrens, Cornelius Weber, Stefan Wermter:
What is Right for Me is Not Yet Right for You: A Dataset for Grounding Relative Directions via Multi-Task Learning. CoRR abs/2205.02671 (2022) - [i37]Kyra Ahrens, Matthias Kerzel, Jae Hee Lee, Cornelius Weber, Stefan Wermter:
Knowing Earlier what Right Means to You: A Comprehensive VQA Dataset for Grounding Relative Directions via Multi-Task Learning. CoRR abs/2207.02624 (2022) - [i36]Ozan Özdemir, Matthias Kerzel, Cornelius Weber, Jae Hee Lee, Stefan Wermter
:
Learning Flexible Translation between Robot Actions and Language Descriptions. CoRR abs/2207.07437 (2022) - [i35]Xufeng Zhao, Cornelius Weber, Muhammad Burhan Hafez, Stefan Wermter:
Impact Makes a Sound and Sound Makes an Impact: Sound Guides Representations and Explorations. CoRR abs/2208.02680 (2022) - [i34]Leyuan Qu, Wei Wang, Taihao Li, Cornelius Weber, Stefan Wermter, Fuji Ren:
Data Augmentation with Unsupervised Speaking Style Transfer for Speech Emotion Recognition. CoRR abs/2211.08843 (2022) - [i33]Yuan Yao, Tianyu Yu, Ao Zhang, Mengdi Li, Ruobing Xie, Cornelius Weber, Zhiyuan Liu, Haitao Zheng, Stefan Wermter, Tat-Seng Chua, Maosong Sun:
Visually Grounded Commonsense Knowledge Acquisition. CoRR abs/2211.12054 (2022) - [i32]Hugo Carneiro, Cornelius Weber, Stefan Wermter:
Whose Emotion Matters? Speaker Detection without Prior Knowledge. CoRR abs/2211.15377 (2022) - [i31]Leyuan Qu, Taihao Li, Cornelius Weber, Theresa Pekarek-Rosin
, Fuji Ren, Stefan Wermter:
Disentangling Prosody Representations with Unsupervised Speech Reconstruction. CoRR abs/2212.06972 (2022) - 2021
- [c77]Björn Plüster, Cornelius Weber, Leyuan Qu, Stefan Wermter:
Hearing Faces: Target Speaker Text-to-Speech Synthesis from a Face. ASRU 2021: 757-764 - [c76]Vadym Gryshchuk, Cornelius Weber, Chu Kiong Loo, Stefan Wermter:
Lifelong Learning from Event-based Data. ESANN 2021 - [c75]Hugo Carneiro, Cornelius Weber, Stefan Wermter
:
FaVoA: Face-Voice Association Favours Ambiguous Speaker Detection. ICANN (1) 2021: 439-450 - [c74]Yuan Yao, Ao Zhang, Xu Han, Mengdi Li, Cornelius Weber, Zhiyuan Liu, Stefan Wermter, Maosong Sun:
Visual Distant Supervision for Scene Graph Generation. ICCV 2021: 15796-15806 - [c73]Aaron Eisermann, Jae Hee Lee
, Cornelius Weber, Stefan Wermter:
Generalization in Multimodal Language Learning from Simulation. IJCNN 2021: 1-8 - [c72]Matthias Möller, Johannes Twiefel, Cornelius Weber, Stefan Wermter:
Controlling the Noise Robustness of End-to-End Automatic Speech Recognition Systems. IJCNN 2021: 1-8 - [c71]Julien Scholz, Cornelius Weber, Muhammad Burhan Hafez
, Stefan Wermter:
Improving Model-Based Reinforcement Learning with Internal State Representations through Self-Supervision. IJCNN 2021: 1-8 - [c70]Christoper Wulur, Cornelius Weber, Stefan Wermter:
Planning-integrated Policy for Efficient Reinforcement Learning in Sparse-reward Environments. IJCNN 2021: 1-8 - [c69]Mengdi Li, Cornelius Weber, Matthias Kerzel, Jae Hee Lee
, Zheni Zeng, Zhiyuan Liu, Stefan Wermter:
Robotic Occlusion Reasoning for Efficient Object Existence Prediction. IROS 2021: 2686-2692 - [i30]Julien Scholz, Cornelius Weber, Muhammad Burhan Hafez
, Stefan Wermter:
Improving Model-Based Reinforcement Learning with Internal State Representations through Self-Supervision. CoRR abs/2102.05599 (2021) - [i29]Alexander Sutherland, Sven Magg, Cornelius Weber, Stefan Wermter:
Analyzing the Influence of Dataset Composition for Emotion Recognition. CoRR abs/2103.03700 (2021) - [i28]Henrique Siqueira, Pablo V. A. Barros, Sven Magg, Cornelius Weber, Stefan Wermter:
A Sub-Layered Hierarchical Pyramidal Neural Architecture for Facial Expression Recognition. CoRR abs/2103.12362 (2021) - [i27]Yuan Yao, Ao Zhang, Xu Han, Mengdi Li, Cornelius Weber, Zhiyuan Liu, Stefan Wermter, Maosong Sun:
Visual Distant Supervision for Scene Graph Generation. CoRR abs/2103.15365 (2021) - [i26]Víctor Uc-Cetina, Nicolás Navarro-Guerrero, Anabel Martín-González, Cornelius Weber, Stefan Wermter
:
Survey on reinforcement learning for language processing. CoRR abs/2104.05565 (2021) - [i25]Mengdi Li, Cornelius Weber, Matthias Kerzel, Jae Hee Lee, Zheni Zeng, Zhiyuan Liu, Stefan Wermter:
Robotic Occlusion Reasoning for Efficient Object Existence Prediction. CoRR abs/2107.12095 (2021) - [i24]Aaron Eisermann, Jae Hee Lee, Cornelius Weber, Stefan Wermter:
Generalization in Multimodal Language Learning from Simulation. CoRR abs/2108.02319 (2021) - [i23]Hugo Carneiro, Cornelius Weber, Stefan Wermter:
FaVoA: Face-Voice Association Favours Ambiguous Speaker Detection. CoRR abs/2109.00577 (2021) - [i22]Vadym Gryshchuk, Cornelius Weber, Chu Kiong Loo, Stefan Wermter:
Lifelong Learning from Event-based Data. CoRR abs/2111.08458 (2021) - [i21]Leyuan Qu, Cornelius Weber, Stefan Wermter
:
LipSound2: Self-Supervised Pre-Training for Lip-to-Speech Reconstruction and Lip Reading. CoRR abs/2112.04748 (2021) - 2020
- [j29]Stefan Heinrich
, Yuan Yao, Tobias Hinz, Zhiyuan Liu
, Thomas Hummel, Matthias Kerzel, Cornelius Weber, Stefan Wermter
:
Crossmodal Language Grounding in an Embodied Neurocognitive Model. Frontiers Neurorobotics 14: 52 (2020) - [j28]Muhammad Burhan Hafez
, Cornelius Weber
, Matthias Kerzel, Stefan Wermter
:
Improving robot dual-system motor learning with intrinsically motivated meta-control and latent-space experience imagination. Robotics Auton. Syst. 133: 103630 (2020) - [j27]Ruobing Xie
, Stefan Heinrich
, Zhiyuan Liu
, Cornelius Weber, Yuan Yao, Stefan Wermter
, Maosong Sun:
Integrating Image-Based and Knowledge-Based Representation Learning. IEEE Trans. Cogn. Dev. Syst. 12(2): 169-178 (2020) - [c68]Hussam Almotlak, Cornelius Weber, Leyuan Qu, Stefan Wermter
:
Variational Autoencoder with Global- and Medium Timescale Auxiliaries for Emotion Recognition from Speech. ICANN (1) 2020: 529-540 - [c67]Mengdi Li, Cornelius Weber, Stefan Wermter
:
Neural Networks for Detecting Irrelevant Questions During Visual Question Answering. ICANN (2) 2020: 786-797 - [c66]Leyuan Qu, Cornelius Weber, Stefan Wermter:
Multimodal Target Speech Separation with Voice and Face References. INTERSPEECH 2020: 1416-1420 - [c65]Chandrakant Bothe, Cornelius Weber, Sven Magg, Stefan Wermter:
EDA: Enriching Emotional Dialogue Acts using an Ensemble of Neural Annotators. LREC 2020: 620-627 - [i20]Muhammad Burhan Hafez, Cornelius Weber, Matthias Kerzel, Stefan Wermter:
Improving Robot Dual-System Motor Learning with Intrinsically Motivated Meta-Control and Latent-Space Experience Imagination. CoRR abs/2004.08830 (2020) - [i19]Leyuan Qu, Cornelius Weber, Stefan Wermter
:
Multimodal Target Speech Separation with Voice and Face References. CoRR abs/2005.08335 (2020) - [i18]Stefan Heinrich, Yuan Yao, Tobias Hinz, Zhiyuan Liu, Thomas Hummel
, Matthias Kerzel, Cornelius Weber, Stefan Wermter:
Crossmodal Language Grounding in an Embodied Neurocognitive Model. CoRR abs/2006.13546 (2020)
2010 – 2019
- 2019
- [j26]Jiayuan Mao, Yuan Yao, Stefan Heinrich
, Tobias Hinz, Cornelius Weber, Stefan Wermter
, Zhiyuan Liu
, Maosong Sun:
Bootstrapping Knowledge Graphs From Images and Text. Frontiers Neurorobotics 13: 93 (2019) - [j25]Muhammad Burhan Hafez
, Cornelius Weber, Matthias Kerzel, Stefan Wermter
:
Deep Intrinsically Motivated Continuous Actor-Critic for Efficient Robotic Visuomotor Skill Learning. Paladyn J. Behav. Robotics 10(1): 14-29 (2019) - [c64]Niange Yu, Cornelius Weber
, Xiaolin Hu
:
Learning Sparse Hidden States in Long Short-Term Memory. ICANN (2) 2019: 288-298 - [c63]Muhammad Burhan Hafez
, Cornelius Weber, Matthias Kerzel, Stefan Wermter
:
Efficient Intrinsically Motivated Robotic Grasping with Learning-Adaptive Imagination in Latent Space. ICDL-EPIROB 2019: 1-7 - [c62]Hadi Beik Mohammadi, Nikoletta Xirakia, Fares Abawi
, Irina Barykina, Krishnan Chandran, Gitanjali Nair, Cuong Nguyen, Daniel Speck, Tayfun Alpay, Sascha S. Griffiths, Stefan Heinrich
, Erik Strahl, Cornelius Weber, Stefan Wermter
:
Designing a Personality-Driven Robot for a Human-Robot Interaction Scenario. ICRA 2019: 4317-4324 - [c61]Egor Lakomkin, Mohammad-Ali Zamani, Cornelius Weber, Sven Magg, Stefan Wermter
:
Incorporating End-to-End Speech Recognition Models for Sentiment Analysis. ICRA 2019: 7976-7982 - [c60]Muhammad Burhan Hafez
, Cornelius Weber, Matthias Kerzel, Stefan Wermter
:
Curious Meta-Controller: Adaptive Alternation between Model-Based and Model-Free Control in Deep Reinforcement Learning. IJCNN 2019: 1-8 - [c59]Wei Shiung Liew, Chu Kiong Loo, Vadym Gryshchuk, Cornelius Weber, Stefan Wermter
:
Effect of Pruning on Catastrophic Forgetting in Growing Dual Memory Networks. IJCNN 2019: 1-8 - [c58]Sebastian Springenberg, Egor Lakomkin, Cornelius Weber, Stefan Wermter
:
Predictive Auxiliary Variational Autoencoder for Representation Learning of Global Speech Characteristics. INTERSPEECH 2019: 934-938 - [c57]Leyuan Qu, Cornelius Weber, Stefan Wermter
:
LipSound: Neural Mel-Spectrogram Reconstruction for Lip Reading. INTERSPEECH 2019: 2768-2772 - [c56]Hassan Ali, Shreyans Bhansali, Ilay Köksal, Matthias Möller, Theresa Pekarek-Rosin
, Sachin Sharma, Ann-Katrin Thebille, Julian Tobergte, Sören Hübner, Aleksej Logacjov, Ozan Özdemir, Jose Rodriguez Parra, Mariela Sanchez
, Nambiar Shruti Surendrakumar, Tayfun Alpay, Sascha S. Griffiths, Stefan Heinrich
, Erik Strahl, Cornelius Weber, Stefan Wermter
:
Virtual or Physical? Social Robots Teaching a Fictional Language Through a Role-Playing Game Inspired by Game of Thrones. ICSR 2019: 358-367 - [i17]Egor Lakomkin, Mohammad-Ali Zamani, Cornelius Weber, Sven Magg, Stefan Wermter:
Incorporating End-to-End Speech Recognition Models for Sentiment Analysis. CoRR abs/1902.11245 (2019) - [i16]Egor Lakomkin, Sven Magg, Cornelius Weber, Stefan Wermter:
KT-Speech-Crawler: Automatic Dataset Construction for Speech Recognition from YouTube Videos. CoRR abs/1903.00216 (2019) - [i15]Muhammad Burhan Hafez
, Cornelius Weber, Matthias Kerzel, Stefan Wermter:
Curious Meta-Controller: Adaptive Alternation between Model-Based and Model-Free Control in Deep Reinforcement Learning. CoRR abs/1905.01718 (2019) - [i14]Di Fu, Cornelius Weber, Guochun Yang, Matthias Kerzel, Weizhi Nan, Pablo V. A. Barros, Haiyan Wu, Xun Liu, Stefan Wermter:
What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective. CoRR abs/1909.05654 (2019) - [i13]Muhammad Burhan Hafez, Cornelius Weber, Matthias Kerzel, Stefan Wermter:
Efficient Intrinsically Motivated Robotic Grasping with Learning-Adaptive Imagination in Latent Space. CoRR abs/1910.04729 (2019) - [i12]Mehmet Süzen, Joan J. Cerdà, Cornelius Weber:
Periodic Spectral Ergodicity: A Complexity Measure for Deep Neural Networks and Neural Architecture Search. CoRR abs/1911.07831 (2019) - [i11]Chandrakant Bothe, Cornelius Weber, Sven Magg, Stefan Wermter
:
Enriching Existing Conversational Emotion Datasets with Dialogue Acts using Neural Annotators. CoRR abs/1912.00819 (2019) - 2018
- [j24]German Ignacio Parisi, Jun Tani, Cornelius Weber, Stefan Wermter
:
Lifelong Learning of Spatiotemporal Representations With Dual-Memory Recurrent Self-Organization. Frontiers Neurorobotics 12: 78 (2018) - [j23]Mohammad-Ali Zamani, Sven Magg, Cornelius Weber, Stefan Wermter
, Di Fu:
Deep reinforcement learning using compositional representations for performing instructions. Paladyn J. Behav. Robotics 9(1): 358-373 (2018) - [c55]Egor Lakomkin, Sven Magg, Cornelius Weber, Stefan Wermter
:
KT-Speech-Crawler: Automatic Dataset Construction for Speech Recognition from YouTube Videos. EMNLP (Demonstration) 2018: 90-95 - [c54]Muhammad Burhan Hafez, Matthias Kerzel, Cornelius Weber, Stefan Wermter:
Slowness-based neural visuomotor control with an Intrinsically motivated Continuous Actor-Critic. ESANN 2018 - [c53]Henrique Siqueira, Pablo V. A. Barros, Sven Magg, Cornelius Weber, Stefan Wermter:
A Sub-Layered Hierarchical Pyramidal Neural Architecture for Facial Expression Recognition. ESANN 2018 - [c52]Sebastian Springenberg, Egor Lakomkin, Cornelius Weber, Stefan Wermter:
Image-to-Text Transduction with Spatial Self-Attention. ESANN 2018 - [c51]Xiaomao Zhou, Cornelius Weber, Chandrakant Bothe
, Stefan Wermter
:
A Hybrid Planning Strategy Through Learning from Vision for Target-Directed Navigation. ICANN (2) 2018: 304-311 - [c50]Leyuan Qu, Cornelius Weber, Egor Lakomkin, Johannes Twiefel, Stefan Wermter
:
Combining Articulatory Features with End-to-End Learning in Speech Recognition. ICANN (3) 2018: 500-510 - [c49]Egor Lakomkin, Mohammad-Ali Zamani, Cornelius Weber, Sven Magg, Stefan Wermter
:
EmoRL: Continuous Acoustic Emotion Classification Using Deep Reinforcement Learning. ICRA 2018: 1-6 - [c48]Xiaomao Zhou, Cornelius Weber, Stefan Wermter
:
A Self-organizing Method for Robot Navigation based on Learned Place and Head-Direction Cells. IJCNN 2018: 1-8 - [c47]Chandrakant Bothe
, Sven Magg
, Cornelius Weber, Stefan Wermter
:
Conversational Analysis Using Utterance-level Attention-based Bidirectional Recurrent Neural Networks. INTERSPEECH 2018: 996-1000 - [c46]Egor Lakomkin, Mohammad-Ali Zamani, Cornelius Weber, Sven Magg, Stefan Wermter
:
On the Robustness of Speech Emotion Recognition for Human-Robot Interaction with Deep Neural Networks. IROS 2018: 854-860 - [c45]Francisco Cruz
, Peter Wuppen, Alvin Fazrie, Cornelius Weber, Stefan Wermter:
Action Selection Methods in a Robotic Reinforcement Learning Scenario. LA-CCI 2018: 1-6 - [c44]Chandrakant Bothe, Cornelius Weber, Sven Magg, Stefan Wermter:
A Context-based Approach for Dialogue Act Recognition using Simple Recurrent Neural Networks. LREC 2018 - [i10]Egor Lakomkin, Cornelius Weber, Stefan Wermter
:
Automatically augmenting an emotion dataset improves classification using audio. CoRR abs/1803.11506 (2018) - [i9]Egor Lakomkin, Cornelius Weber, Sven Magg, Stefan Wermter:
Reusing Neural Speech Representations for Auditory Emotion Recognition. CoRR abs/1803.11508 (2018) - [i8]Egor Lakomkin, Mohammad-Ali Zamani, Cornelius Weber, Sven Magg, Stefan Wermter:
On the Robustness of Speech Emotion Recognition for Human-Robot Interaction with Deep Neural Networks. CoRR abs/1804.02173 (2018) - [i7]Egor Lakomkin, Mohammad-Ali Zamani, Cornelius Weber, Sven Magg, Stefan Wermter:
EmoRL: Continuous Acoustic Emotion Classification using Deep Reinforcement Learning. CoRR abs/1804.04053 (2018) - [i6]Chandrakant Bothe, Sven Magg, Cornelius Weber, Stefan Wermter:
Conversational Analysis using Utterance-level Attention-based Bidirectional Recurrent Neural Networks. CoRR abs/1805.06242 (2018) - [i5]Chandrakant Bothe, Cornelius Weber, Sven Magg, Stefan Wermter
:
A Context-based Approach for Dialogue Act Recognition using Simple Recurrent Neural Networks. CoRR abs/1805.06280 (2018) - [i4]German Ignacio Parisi, Jun Tani, Cornelius Weber, Stefan Wermter:
Lifelong Learning of Spatiotemporal Representations with Dual-Memory Recurrent Self-Organization. CoRR abs/1805.10966 (2018) - [i3]Chandrakant Bothe, Sven Magg, Cornelius Weber, Stefan Wermter
:
Discourse-Wizard: Discovering Deep Discourse Structure in your Conversation with RNNs. CoRR abs/1806.11420 (2018) - [i2]Muhammad Burhan Hafez, Cornelius Weber, Matthias Kerzel, Stefan Wermter:
Deep Intrinsically Motivated Continuous Actor-Critic for Efficient Robotic Visuomotor Skill Learning. CoRR abs/1810.11388 (2018) - 2017
- [j22]German Ignacio Parisi, Jun Tani, Cornelius Weber, Stefan Wermter
:
Emergence of multimodal action representations from neural network self-organization. Cogn. Syst. Res. 43: 208-221 (2017) - [j21]Pablo V. A. Barros
, German Ignacio Parisi, Cornelius Weber, Stefan Wermter
:
Emotion-modulated attention improves expression recognition: A deep learning model. Neurocomputing 253: 104-114 (2017) - [j20]Eleni Tsironi, Pablo V. A. Barros
, Cornelius Weber, Stefan Wermter
:
An analysis of Convolutional Long Short-Term Memory Recurrent Neural Networks for gesture recognition. Neurocomputing 268: 76-86 (2017) - [j19]German Ignacio Parisi, Jun Tani, Cornelius Weber, Stefan Wermter
:
Lifelong learning of human actions with deep neural network self-organization. Neural Networks 96: 137-149 (2017) - [c43]Egor Lakomkin, Cornelius Weber, Stefan Wermter:
Automatically augmenting an emotion dataset improves classification using audio. EACL (2) 2017: 194-197 - [c42]Nikhil Churamani
, Paul Anton, Marc Brügger, Erik Fließwasser, Thomas Hummel
, Julius Mayer, Waleed Mustafa, Hwei Geok Ng, Thi Linh Chi Nguyen, Quan Nguyen, Marcus Soll
, Sebastian Springenberg, Sascha S. Griffiths, Stefan Heinrich
, Nicolás Navarro-Guerrero
, Erik Strahl, Johannes Twiefel, Cornelius Weber, Stefan Wermter
:
The Impact of Personalisation on Human-Robot Interaction in Learning Scenarios. HAI 2017: 171-180 - [c41]Xiaomao Zhou, Cornelius Weber, Stefan Wermter
:
Robot Localization and Orientation Detection Based on Place Cells and Head-Direction Cells. ICANN (1) 2017: 137-145 - [c40]Chandrakant Bothe
, Sven Magg
, Cornelius Weber, Stefan Wermter
:
Dialogue-Based Neural Learning to Estimate the Sentiment of a Next Upcoming Utterance. ICANN (2) 2017: 477-485 - [c39]Muhammad Burhan Hafez
, Cornelius Weber, Stefan Wermter
:
Curiosity-driven exploration enhances motor skills of continuous actor-critic learner. ICDL-EPIROB 2017: 39-46 - [c38]Egor Lakomkin, Cornelius Weber, Sven Magg, Stefan Wermter:
Reusing Neural Speech Representations for Auditory Emotion Recognition. IJCNLP(1) 2017: 423-430 - [c37]Hwei Geok Ng, Paul Anton, Marc Brügger, Nikhil Churamani
, Erik Fließwasser, Thomas Hummel
, Julius Mayer, Waleed Mustafa, Thi Linh Chi Nguyen, Quan Nguyen, Marcus Soll
, Sebastian Springenberg, Sascha S. Griffiths, Stefan Heinrich
, Nicolás Navarro-Guerrero
, Erik Strahl, Johannes Twiefel, Cornelius Weber, Stefan Wermter
:
Hey robot, why don't you talk to me? RO-MAN 2017: 728-731 - [i1]Mehmet Süzen, Cornelius Weber, Joan J. Cerdà:
Spectral Ergodicity in Deep Learning Architectures via Surrogate Random Matrices. CoRR abs/1704.08303 (2017) - 2016
- [j18]Francisco Cruz
, Sven Magg
, Cornelius Weber, Stefan Wermter:
Training Agents With Interactive Reinforcement Learning and Contextual Affordances. IEEE Trans. Cogn. Dev. Syst. 8(4): 271-284 (2016) - [c36]Pablo V. A. Barros
, Cornelius Weber, Stefan Wermter
:
Learning auditory neural representations for emotion recognition. IJCNN 2016: 921-928 - [c35]Stefan Heinrich, Cornelius Weber, Stefan Wermter, Ruobing Xie, Yankai Lin, Zhiyuan Liu:
Crossmodal Language Grounding, Learning, and Teaching. CoCo@NIPS 2016 - [c34]Daniel Speck, Pablo V. A. Barros
, Cornelius Weber, Stefan Wermter:
Ball Localization for Robocup Soccer Using Convolutional Neural Networks. RoboCup 2016: 19-30 - 2015
- [j17]German Ignacio Parisi, Cornelius Weber, Stefan Wermter:
Self-organizing neural integration of pose-motion features for human action recognition. Frontiers Neurorobotics 9: 3 (2015) - [j16]Pablo V. A. Barros
, Doreen Jirak, Cornelius Weber, Stefan Wermter:
Multimodal emotional state recognition using sequence-dependent deep hierarchical features. Neural Networks