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Stochastic Parallelizable Eigengap Dilation for Large Graph Clustering


Jul 29, 2022
Elise van der Pol, Ian Gemp, Yoram Bachrach, Richard Everett

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* Presented at the ICML 2022 Workshop on Topology, Algebra, andGeometry in Machine Learning 

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Maximum Class Separation as Inductive Bias in One Matrix


Jun 17, 2022
Tejaswi Kasarla, Gertjan J. Burghouts, Max van Spengler, Elise van der Pol, Rita Cucchiara, Pascal Mettes

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Multi-Agent MDP Homomorphic Networks


Oct 09, 2021
Elise van der Pol, Herke van Hoof, Frans A. Oliehoek, Max Welling

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Geometric and Physical Quantities improve E(3) Equivariant Message Passing


Oct 06, 2021
Johannes Brandstetter, Rob Hesselink, Elise van der Pol, Erik Bekkers, Max Welling

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The Impact of Negative Sampling on Contrastive Structured World Models


Jul 24, 2021
Ondrej Biza, Elise van der Pol, Thomas Kipf

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* This work appeared at the ICML 2021 Workshop: Self-Supervised Learning for Reasoning and Perception 

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MDP Homomorphic Networks: Group Symmetries in Reinforcement Learning


Jun 30, 2020
Elise van der Pol, Daniel E. Worrall, Herke van Hoof, Frans A. Oliehoek, Max Welling

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Plannable Approximations to MDP Homomorphisms: Equivariance under Actions


Feb 27, 2020
Elise van der Pol, Thomas Kipf, Frans A. Oliehoek, Max Welling

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* To appear in Proceedings of the International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS 2020) 

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Contrastive Learning of Structured World Models


Jan 05, 2020
Thomas Kipf, Elise van der Pol, Max Welling

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* ICLR 2020 

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Visual Rationalizations in Deep Reinforcement Learning for Atari Games


Feb 01, 2019
Laurens Weitkamp, Elise van der Pol, Zeynep Akata

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* presented as oral talk at BNAIC 2018 

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