Christian Gumbsch

Orcid: 0000-0003-2741-6551

According to our database1, Christian Gumbsch authored at least 13 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Bibliography

2024
Learning Event-Based Temporal Abstractions for Hierarchical Prediction and Planning
PhD thesis, 2024

Learning Hierarchical World Models with Adaptive Temporal Abstractions from Discrete Latent Dynamics.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2022
Inference of affordances and active motor control in simulated agents.
Frontiers Neurorobotics, September, 2022

Intelligent problem-solving as integrated hierarchical reinforcement learning.
Nat. Mach. Intell., 2022

Developing hierarchical anticipations via neural network-based event segmentation.
Proceedings of the IEEE International Conference on Development and Learning, 2022

2021
Autonomous Identification and Goal-Directed Invocation of Event-Predictive Behavioral Primitives.
IEEE Trans. Cogn. Dev. Syst., 2021

Emergent Goal-Anticipatory Gaze in Infants via Event-Predictive Learning and Inference.
Cogn. Sci., 2021

Sparsely Changing Latent States for Prediction and Planning in Partially Observable Domains.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Latent Event-Predictive Encodings through Counterfactual Regularization.
Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021

I see where this is going: Modeling the development of infants' goal-predictive gaze.
Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021

2020
Hierarchical principles of embodied reinforcement learning: A review.
CoRR, 2020

2017
A Computational Model for the Dynamical Learning of Event Taxonomies.
Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

2016
Learning Behavior-Grounded Event Segmentations.
Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016


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