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EDGI: Equivariant Diffusion for Planning with Embodied Agents


Mar 22, 2023
Johann Brehmer, Joey Bose, Pim de Haan, Taco Cohen

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* Reincarnating RL workshop at ICLR 2023 

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On the Expressive Power of Geometric Graph Neural Networks


Jan 23, 2023
Chaitanya K. Joshi, Cristian Bodnar, Simon V. Mathis, Taco Cohen, Pietro Liò

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* NeurIPS 2022 Workshop on Symmetry and Geometry in Neural Representations 

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Deconfounded Imitation Learning


Nov 04, 2022
Risto Vuorio, Johann Brehmer, Hanno Ackermann, Daniel Dijkman, Taco Cohen, Pim de Haan

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A PAC-Bayesian Generalization Bound for Equivariant Networks


Oct 24, 2022
Arash Behboodi, Gabriele Cesa, Taco Cohen

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* 41 pages, 15 figures, accepted at NeurIPS 2022 

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Towards a Grounded Theory of Causation for Embodied AI


Jun 28, 2022
Taco Cohen

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iCITRIS: Causal Representation Learning for Instantaneous Temporal Effects


Jun 13, 2022
Phillip Lippe, Sara Magliacane, Sindy Löwe, Yuki M. Asano, Taco Cohen, Efstratios Gavves

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Equivariant Mesh Attention Networks


May 21, 2022
Sourya Basu, Jose Gallego-Posada, Francesco Viganò, James Rowbottom, Taco Cohen

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* Implementation can be found at: https://github.com/gallego-posada/eman 

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Weakly supervised causal representation learning


Mar 30, 2022
Johann Brehmer, Pim de Haan, Phillip Lippe, Taco Cohen

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* Published at the ICLR 2022 workshop on Objects, Structure and Causality 

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CITRIS: Causal Identifiability from Temporal Intervened Sequences


Feb 16, 2022
Phillip Lippe, Sara Magliacane, Sindy Löwe, Yuki M. Asano, Taco Cohen, Efstratios Gavves

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* 47 pages 

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