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Christian Gumbsch
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Books and Theses
- 2024
- [b1]Christian Gumbsch:
Learning Event-Based Temporal Abstractions for Hierarchical Prediction and Planning. Tübingen University, Germany, 2024
Journal Articles
- 2022
- [j4]Fedor Scholz, Christian Gumbsch, Sebastian Otte, Martin V. Butz:
Inference of affordances and active motor control in simulated agents. Frontiers Neurorobotics 16 (2022) - [j3]Manfred Eppe, Christian Gumbsch, Matthias Kerzel, Phuong D. H. Nguyen, Martin V. Butz, Stefan Wermter:
Intelligent problem-solving as integrated hierarchical reinforcement learning. Nat. Mach. Intell. 4(1): 11-20 (2022) - 2021
- [j2]Christian Gumbsch, Maurits Adam, Birgit Elsner, Martin V. Butz:
Emergent Goal-Anticipatory Gaze in Infants via Event-Predictive Learning and Inference. Cogn. Sci. 45(8) (2021) - [j1]Christian Gumbsch, Martin V. Butz, Georg Martius:
Autonomous Identification and Goal-Directed Invocation of Event-Predictive Behavioral Primitives. IEEE Trans. Cogn. Dev. Syst. 13(2): 298-311 (2021)
Conference and Workshop Papers
- 2024
- [c7]Christian Gumbsch, Noor Sajid, Georg Martius, Martin V. Butz:
Learning Hierarchical World Models with Adaptive Temporal Abstractions from Discrete Latent Dynamics. ICLR 2024 - 2022
- [c6]Christian Gumbsch, Maurits Adam, Birgit Elsner, Georg Martius, Martin V. Butz:
Developing hierarchical anticipations via neural network-based event segmentation. ICDL 2022: 1-8 - 2021
- [c5]Christian Gumbsch, Maurits Adam, Birgit Elsner, Martin V. Butz:
I see where this is going: Modeling the development of infants' goal-predictive gaze. CogSci 2021 - [c4]Dania Humaidan, Sebastian Otte, Christian Gumbsch, Charley M. Wu, Martin V. Butz:
Latent Event-Predictive Encodings through Counterfactual Regularization. CogSci 2021 - [c3]Christian Gumbsch, Martin V. Butz, Georg Martius:
Sparsely Changing Latent States for Prediction and Planning in Partially Observable Domains. NeurIPS 2021: 17518-17531 - 2017
- [c2]Christian Gumbsch, Sebastian Otte, Martin V. Butz:
A Computational Model for the Dynamical Learning of Event Taxonomies. CogSci 2017 - 2016
- [c1]Christian Gumbsch, Jan Kneissler, Martin V. Butz:
Learning Behavior-Grounded Event Segmentations. CogSci 2016
Informal and Other Publications
- 2022
- [i7]Fedor Scholz, Christian Gumbsch, Sebastian Otte, Martin V. Butz:
Inference of Affordances and Active Motor Control in Simulated Agents. CoRR abs/2202.11532 (2022) - [i6]Christian Gumbsch, Maurits Adam, Birgit Elsner, Georg Martius, Martin V. Butz:
Developing hierarchical anticipations via neural network-based event segmentation. CoRR abs/2206.02042 (2022) - [i5]Manfred Eppe, Christian Gumbsch, Matthias Kerzel, Phuong D. H. Nguyen, Martin V. Butz, Stefan Wermter:
Intelligent problem-solving as integrated hierarchical reinforcement learning. CoRR abs/2208.08731 (2022) - 2021
- [i4]Dania Humaidan, Sebastian Otte, Christian Gumbsch, Charley M. Wu, Martin V. Butz:
Latent Event-Predictive Encodings through Counterfactual Regularization. CoRR abs/2105.05894 (2021) - [i3]Christian Gumbsch, Martin V. Butz, Georg Martius:
Sparsely Changing Latent States for Prediction and Planning in Partially Observable Domains. CoRR abs/2110.15949 (2021) - 2020
- [i2]Manfred Eppe, Christian Gumbsch, Matthias Kerzel, Phuong D. H. Nguyen, Martin V. Butz, Stefan Wermter:
Hierarchical principles of embodied reinforcement learning: A review. CoRR abs/2012.10147 (2020) - 2019
- [i1]Christian Gumbsch, Martin V. Butz, Georg Martius:
Autonomous Identification and Goal-Directed Invocation of Event-Predictive Behavioral Primitives. CoRR abs/1902.09948 (2019)
Coauthor Index
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