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ORCIDSven Magg
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2020 – today
- 2024
[c36]Wenhao Lu, Xufeng Zhao
, Thilo Fryen, Jae Hee Lee, Mengdi Li, Sven Magg, Stefan Wermter:
Causal State Distillation for Explainable Reinforcement Learning. CLeaR 2024: 106-142- [i26]Wenhao Lu, Xufeng Zhao, Thilo Fryen, Jae Hee Lee, Mengdi Li, Sven Magg, Stefan Wermter:
Causal State Distillation for Explainable Reinforcement Learning. CoRR abs/2401.00104 (2024) - 2023
- [j8]Tayfun Alpay, Sven Magg, Philipp Broze, Daniel Speck:
Multimodal video retrieval with CLIP: a user study. Inf. Retr. J. 26(1): 6 (2023) - [j7]Finn Rietz, Sven Magg, Fredrik Heintz, Todor Stoyanov, Stefan Wermter, Johannes A. Stork:
Hierarchical goals contextualize local reward decomposition explanations. Neural Comput. Appl. 35(23): 16693-16704 (2023) - [c35]Martin Gromniak, Sven Magg, Stefan Wermter:
Neural Field Conditioning Strategies for 2D Semantic Segmentation. ICANN (2) 2023: 520-532 - [c34]Wenhao Lu, Xufeng Zhao, Sven Magg, Martin Gromniak, Mengdi Li, Stefan Wermter:
A Closer Look at Reward Decomposition for High-Level Robotic Explanations. ICDL 2023: 429-436 - [i25]Wenhao Lu, Sven Magg, Xufeng Zhao, Martin Gromniak, Stefan Wermter:
A Closer Look at Reward Decomposition for High-Level Robotic Explanations. CoRR abs/2304.12958 (2023) - [i24]Martin Gromniak, Sven Magg, Stefan Wermter:
Neural Field Conditioning Strategies for 2D Semantic Segmentation. CoRR abs/2304.14371 (2023) - 2021
- [j6]Antonio Andriella, Henrique Siqueira, Di Fu, Sven Magg, Pablo V. A. Barros, Stefan Wermter, Carme Torras, Guillem Alenyà:
Do I Have a Personality? Endowing Care Robots with Context-Dependent Personality Traits. Int. J. Soc. Robotics 13(8): 2081-2102 (2021) - [i23]Alexander Sutherland, Sven Magg, Cornelius Weber, Stefan Wermter:
Analyzing the Influence of Dataset Composition for Emotion Recognition. CoRR abs/2103.03700 (2021) - [i22]Alexander Sutherland, Sven Magg, Stefan Wermter:
Leveraging Recursive Processing for Neural-Symbolic Affect-Target Associations. CoRR abs/2103.03755 (2021) - [i21]Henrique Siqueira, Pablo V. A. Barros, Sven Magg, Stefan Wermter:
An Ensemble with Shared Representations Based on Convolutional Networks for Continually Learning Facial Expressions. CoRR abs/2103.03934 (2021) - [i20]Henrique Siqueira, Alexander Sutherland, Pablo V. A. Barros, Matthias Kerzel, Sven Magg, Stefan Wermter:
Disambiguating Affective Stimulus Associations for Robot Perception and Dialogue. CoRR abs/2103.03940 (2021) - [i19]Alexander Sutherland, Suna Bensch, Thomas Hellström, Sven Magg, Stefan Wermter:
Tell Me Why You Feel That Way: Processing Compositional Dependency for Tree-LSTM Aspect Sentiment Triplet Extraction (TASTE). CoRR abs/2103.05815 (2021) - [i18]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) - 2020
- [c33]Henrique Siqueira, Sven Magg, Stefan Wermter:
Efficient Facial Feature Learning with Wide Ensemble-Based Convolutional Neural Networks. AAAI 2020: 5800-5809 - [c32]Alexander Sutherland, Suna Bensch, Thomas Hellström, Sven Magg, Stefan Wermter:
Tell Me Why You Feel That Way: Processing Compositional Dependency for Tree-LSTM Aspect Sentiment Triplet Extraction (TASTE). ICANN (1) 2020: 660-671 - [c31]Chandrakant Bothe, Cornelius Weber, Sven Magg, Stefan Wermter:
EDA: Enriching Emotional Dialogue Acts using an Ensemble of Neural Annotators. LREC 2020: 620-627 - [i17]Henrique Siqueira, Sven Magg, Stefan Wermter:
Efficient Facial Feature Learning with Wide Ensemble-based Convolutional Neural Networks. CoRR abs/2001.06338 (2020)
2010 – 2019
- 2019
- [c30]German Ignacio Parisi, Pablo V. A. Barros, Di Fu, Sven Magg, Haiyan Wu, Xun Liu, Stefan Wermter:
A Neurorobotic Experiment for Crossmodal Conflict Resolution. CVPR Workshops 2019: 33-36 - [c29]Marcus Soll, Tobias Hinz, Sven Magg, Stefan Wermter:
Evaluating Defensive Distillation for Defending Text Processing Neural Networks Against Adversarial Examples. ICANN (3) 2019: 685-696 - [c28]Sayantan Auddy, Sven Magg, Stefan Wermter:
Hierarchical Control for Bipedal Locomotion using Central Pattern Generators and Neural Networks. ICDL-EPIROB 2019: 13-18 - [c27]Manfred Eppe, Sven Magg, Stefan Wermter:
Curriculum goal masking for continuous deep reinforcement learning. ICDL-EPIROB 2019: 183-188 - [c26]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 - [c25]Alexander Sutherland, Sven Magg, Stefan Wermter:
Leveraging Recursive Processing for Neural-Symbolic Affect-Target Associations. IJCNN 2019: 1-6 - [i16]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) - [i15]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) - [i14]Francisco Cruz, Sven Magg, Yukie Nagai, Stefan Wermter:
Improving interactive reinforcement learning: What makes a good teacher? CoRR abs/1904.06879 (2019) - [i13]Marcus Soll, Tobias Hinz, Sven Magg, Stefan Wermter:
Evaluating Defensive Distillation For Defending Text Processing Neural Networks Against Adversarial Examples. CoRR abs/1908.07899 (2019) - [i12]Sayantan Auddy, Sven Magg, Stefan Wermter:
Hierarchical Control for Bipedal Locomotion using Central Pattern Generators and Neural Networks. CoRR abs/1909.00732 (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
- [j5]Francisco Cruz, Sven Magg, Yukie Nagai, Stefan Wermter:
Improving interactive reinforcement learning: What makes a good teacher? Connect. Sci. 30(3): 306-325 (2018) - [j4]Tobias Hinz, Nicolás Navarro-Guerrero, Sven Magg, Stefan Wermter:
Speeding up the Hyperparameter Optimization of Deep Convolutional Neural Networks. Int. J. Comput. Intell. Appl. 17(2): 1850008:1-1850008:15 (2018) - [j3]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) - [c24]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 - [c23]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 - [c22]Henrique Siqueira, Alexander Sutherland, Pablo V. A. Barros, Matthias Kerzel, Sven Magg, Stefan Wermter:
Disambiguating Affective Stimulus Associations for Robot Perception and Dialogue. Humanoids 2018: 1-9 - [c21]Egor Lakomkin, Mohammad-Ali Zamani, Cornelius Weber, Sven Magg, Stefan Wermter:
EmoRL: Continuous Acoustic Emotion Classification Using Deep Reinforcement Learning. ICRA 2018: 1-6 - [c20]Chandrakant Bothe, Sven Magg, Cornelius Weber, Stefan Wermter:
Conversational Analysis Using Utterance-level Attention-based Bidirectional Recurrent Neural Networks. INTERSPEECH 2018: 996-1000 - [c19]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 - [c18]Henrique Siqueira, Pablo V. A. Barros, Sven Magg, Stefan Wermter:
An Ensemble with Shared Representations Based on Convolutional Networks for Continually Learning Facial Expressions. IROS 2018: 1563-1568 - [c17]German Ignacio Parisi, Pablo V. A. Barros, Di Fu, Sven Magg, Haiyan Wu, Xun Liu, Stefan Wermter:
A Neurorobotic Experiment for Crossmodal Conflict Resolution in Complex Environments. IROS 2018: 2330-2335 - [c16]Chandrakant Bothe, Cornelius Weber, Sven Magg, Stefan Wermter:
A Context-based Approach for Dialogue Act Recognition using Simple Recurrent Neural Networks. LREC 2018 - [i10]German Ignacio Parisi, Pablo V. A. Barros, Di Fu, Sven Magg, Haiyan Wu, Xun Liu, Stefan Wermter:
A Neurorobotic Experiment for Crossmodal Conflict Resolution in Complex Environments. CoRR abs/1802.10408 (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]Chandrakant Bothe, Sven Magg, Cornelius Weber, Stefan Wermter:
Discourse-Wizard: Discovering Deep Discourse Structure in your Conversation with RNNs. CoRR abs/1806.11420 (2018) - [i3]Tobias Hinz, Nicolás Navarro-Guerrero, Sven Magg, Stefan Wermter:
Speeding up the Hyperparameter Optimization of Deep Convolutional Neural Networks. CoRR abs/1807.07362 (2018) - [i2]Manfred Eppe, Sven Magg, Stefan Wermter:
Curriculum goal masking for continuous deep reinforcement learning. CoRR abs/1809.06146 (2018) - [i1]Di Fu, Pablo V. A. Barros, German Ignacio Parisi, Haiyan Wu, Sven Magg, Xun Liu, Stefan Wermter:
Assessing the Contribution of Semantic Congruency to Multisensory Integration and Conflict Resolution. CoRR abs/1810.06748 (2018) - 2017
- [c15]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 - [c14]Francisco Cruz, Peter Wuppen, Sven Magg, Alvin Fazrie, Stefan Wermter:
Agent-advising approaches in an interactive reinforcement learning scenario. ICDL-EPIROB 2017: 209-214 - [c13]Egor Lakomkin, Cornelius Weber, Sven Magg, Stefan Wermter:
Reusing Neural Speech Representations for Auditory Emotion Recognition. IJCNLP(1) 2017: 423-430 - [c12]Matthias Kerzel, Erik Strahl, Sven Magg, Nicolás Navarro-Guerrero, Stefan Heinrich, Stefan Wermter:
NICO - Neuro-inspired companion: A developmental humanoid robot platform for multimodal interaction. RO-MAN 2017: 113-120 - 2016
- [j2]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) - [c11]Vidwath Raj, Sven Magg, Stefan Wermter:
Towards Effective Classification of Imbalanced Data with Convolutional Neural Networks. ANNPR 2016: 150-162 - [c10]German Ignacio Parisi, Sven Magg, Stefan Wermter:
Human motion assessment in real time using recurrent self-organization. RO-MAN 2016: 71-76 - [c9]Sebastian Starke, Norman Hendrich, Sven Magg, Jianwei Zhang:
An efficient hybridization of Genetic Algorithms and Particle Swarm Optimization for inverse kinematics. ROBIO 2016: 1782-1789 - 2015
- [j1]Johannes Bauer, Sven Magg, Stefan Wermter:
Attention modeled as information in learning multisensory integration. Neural Networks 65: 44-52 (2015) - [c8]Francisco Cruz, Johannes Twiefel, Sven Magg, Cornelius Weber, Stefan Wermter:
Interactive reinforcement learning through speech guidance in a domestic scenario. IJCNN 2015: 1-8 - [c7]German Ignacio Parisi, Florian von Stosch, Sven Magg, Stefan Wermter:
Learning human motion feedback with neural self-organization. IJCNN 2015: 1-6 - 2014
- [c6]Pablo V. A. Barros, Sven Magg, Cornelius Weber, Stefan Wermter:
A Multichannel Convolutional Neural Network for Hand Posture Recognition. ICANN 2014: 403-410 - [c5]Francisco Cruz, Sven Magg, Cornelius Weber, Stefan Wermter:
Improving reinforcement learning with interactive feedback and affordances. ICDL-EPIROB 2014: 165-170 - [e1]Stefan Wermter, Cornelius Weber, Wlodzislaw Duch, Timo Honkela, Petia D. Koprinkova-Hristova, Sven Magg, Günther Palm, Alessandro E. P. Villa:
Artificial Neural Networks and Machine Learning - ICANN 2014 - 24th International Conference on Artificial Neural Networks, Hamburg, Germany, September 15-19, 2014. Proceedings. Lecture Notes in Computer Science 8681, Springer 2014, ISBN 978-3-319-11178-0 [contents] - 2013
- [c4]Jorge Dávila-Chacón, Sven Magg, Jindong Liu, Stefan Wermter:
Neural and statistical processing of spatial cues for sound source localisation. IJCNN 2013: 1-8 - [c3]Nils Meins, Sven Magg, Stefan Wermter:
Neural Hopfield-ensemble for multi-class head pose detection. IJCNN 2013: 1-8
2000 – 2009
- 2007
- [c2]Sven Magg, Rene te Boekhorst:
Pattern Formation in Homogeneous and Heterogeneous Swarms: Differences Between Versatile and Specialized Agents. ALIFE 2007: 311-316 - 2006
- [c1]Sven Magg, Andrew Philippides:
GasNets and CTRNNs - A Comparison in Terms of Evolvability. SAB 2006: 461-472
Coauthor Index
[c36] [i26] [j7] [c35] [c34] [i25] [i24] [j6] [i23] [i22] [i21] [i20] [i19] [i18] [c33] [c32] [c31] [i17] [c30] [c29] [c28] [c27] [c26] [c25] [i16] [i15] [i14] [i13] [i12] [i11] [j5] [j4] [j3] [c24] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [i10] [i9] [i8] [i7] [i6] [i5] [i4] [i3] [i2] [i1] [c15] [c14] [c13] [c12] [j2] [c11] [c10] [j1] [c8] [c7] [c6] [c5] [e1] [c4] [c3]
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last updated on 2024-10-07 21:24 CEST by the dblp team
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