Elise van der Pol

30 papers A* 8A 1Misc 1Journal 16Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Expected Return Symmetries. ICLR Darius Muglich, Johannes Forkel, Elise van der Pol, Jakob Nicolaus Foerster
2025	J	`jnl`	Expected Return Symmetries. CoRR Darius Muglich, Johannes Forkel, Elise van der Pol, Jakob N. Foerster
2025	J	`jnl`	Learning Abstract World Models with a Group-Structured Latent Space. CoRR Thomas Delliaux, Nguyen-Khanh Vu, Vincent François-Lavet, Elise van der Pol, Emmanuel Rachelson
2023	Misc	`conf`	One-shot Imitation Learning via Interaction Warping. CoRL Ondrej Biza, Skye Thompson, Kishore Reddy Pagidi, Abhinav Kumar, Elise van der Pol, Robin Walters, Thomas Kipf, Jan-Willem van de Meent, Lawson L. S. Wong, Robert Platt
2023	J	`jnl`	One-shot Imitation Learning via Interaction Warping. CoRR Ondrej Biza, Skye Thompson, Kishore Reddy Pagidi, Abhinav Kumar, Elise van der Pol, Robin Walters, Thomas Kipf, Jan-Willem van de Meent, Lawson L. S. Wong, Robert Platt
2022	A*	`conf`	Equivariant Networks for Zero-Shot Coordination. NeurIPS Darius Muglich, Christian Schröder de Witt, Elise van der Pol, Shimon Whiteson, Jakob N. Foerster
2022	J	`jnl`	Equivariant Networks for Zero-Shot Coordination. CoRR Darius Muglich, Christian Schröder de Witt, Elise van der Pol, Shimon Whiteson, Jakob N. Foerster
2022	A*	`conf`	Geometric and Physical Quantities improve E(3) Equivariant Message Passing. ICLR Johannes Brandstetter, Rob Hesselink, Elise van der Pol, Erik J. Bekkers, Max Welling
2022	A*	`conf`	Maximum Class Separation as Inductive Bias in One Matrix. NeurIPS Tejaswi Kasarla, Gertjan J. Burghouts, Max van Spengler, Elise van der Pol, Rita Cucchiara, Pascal Mettes
2022	J	`jnl`	Maximum Class Separation as Inductive Bias in One Matrix. CoRR Tejaswi Kasarla, Gertjan J. Burghouts, Max van Spengler, Elise van der Pol, Rita Cucchiara, Pascal Mettes
2022	A*	`conf`	Multi-Agent MDP Homomorphic Networks. ICLR Elise van der Pol, Herke van Hoof, Frans A. Oliehoek, Max Welling
2022	—	`conf`	Stochastic Parallelizable Eigengap Dilation for Large Graph Clustering. TAG-ML Elise van der Pol, Ian Gemp, Yoram Bachrach
2022	J	`jnl`	Stochastic Parallelizable Eigengap Dilation for Large Graph Clustering. CoRR Elise van der Pol, Ian Gemp, Yoram Bachrach, Richard Everett
2021	J	`jnl`	Geometric and Physical Quantities improve E(3) Equivariant Message Passing. CoRR Johannes Brandstetter, Rob Hesselink, Elise van der Pol, Erik J. Bekkers, Max Welling
2021	J	`jnl`	Multi-Agent MDP Homomorphic Networks. CoRR Elise van der Pol, Herke van Hoof, Frans A. Oliehoek, Max Welling
2021	J	`jnl`	The Impact of Negative Sampling on Contrastive Structured World Models. CoRR Ondrej Biza, Elise van der Pol, Thomas Kipf
2020	A*	`conf`	Contrastive Learning of Structured World Models. ICLR Thomas N. Kipf, Elise van der Pol, Max Welling
2020	A*	`conf`	MDP Homomorphic Networks: Group Symmetries in Reinforcement Learning. NeurIPS Elise van der Pol, Daniel E. Worrall, Herke van Hoof, Frans A. Oliehoek, Max Welling
2020	J	`jnl`	MDP Homomorphic Networks: Group Symmetries in Reinforcement Learning. CoRR Elise van der Pol, Daniel E. Worrall, Herke van Hoof, Frans A. Oliehoek, Max Welling
2020	A	`conf`	Plannable Approximations to MDP Homomorphisms: Equivariance under Actions. AAMAS Elise van der Pol, Thomas Kipf, Frans A. Oliehoek, Max Welling
2020	J	`jnl`	Plannable Approximations to MDP Homomorphisms: Equivariance under Actions. CoRR Elise van der Pol, Thomas N. Kipf, Frans A. Oliehoek, Max Welling
2019	J	`jnl`	Contrastive Learning of Structured World Models. CoRR Thomas N. Kipf, Elise van der Pol, Max Welling
2019	A*	`conf`	Hyperspherical Prototype Networks. NeurIPS Pascal Mettes, Elise van der Pol, Cees Snoek
2019	J	`jnl`	Hyperspherical Prototype Networks. CoRR Pascal Mettes, Elise van der Pol, Cees G. M. Snoek
2019	J	`jnl`	Visual Rationalizations in Deep Reinforcement Learning for Atari Games. CoRR Laurens Weitkamp, Elise van der Pol, Zeynep Akata
2018	—	`conf`	Beyond Local Nash Equilibria for Adversarial Networks. BNCAI Frans A. Oliehoek, Rahul Savani, Jose Gallego-Posada, Elise van der Pol, Roderich Groß
2018	J	`jnl`	Beyond Local Nash Equilibria for Adversarial Networks. CoRR Frans A. Oliehoek, Rahul Savani, Jose Gallego-Posada, Elise van der Pol, Roderich Groß
2018	—	`conf`	Visual Rationalizations in Deep Reinforcement Learning for Atari Games. BNCAI Laurens Weitkamp, Elise van der Pol, Zeynep Akata
2017	J	`jnl`	GANGs: Generative Adversarial Network Games. CoRR Frans A. Oliehoek, Rahul Savani, Jose Gallego-Posada, Elise van der Pol, Edwin D. de Jong, Roderich Gross
2016	—	`conf`	Linguistic Style Accommodation in Disagreements. *SEM@ACL Elise van der Pol, Sharon Gieske, Raquel Fernández