Linguistic Style Accommodation in Disagreements. - Elise van der Pol; Sharon Gieske; Raquel Fernández (*SEM@ACL, 2016)

GANGs: Generative Adversarial Network Games. - Frans A. Oliehoek; Rahul Savani; Jose Gallego-Posada; Elise van der Pol; Edwin D. de Jong; Roderich Gross (CoRR, 2017)

Beyond Local Nash Equilibria for Adversarial Networks. - Frans A. Oliehoek; Rahul Savani; Jose Gallego-Posada; Elise van der Pol; Roderich Groß (BNCAI, 2018)

Visual Rationalizations in Deep Reinforcement Learning for Atari Games. - Laurens Weitkamp; Elise van der Pol; Zeynep Akata (BNCAI, 2018)

Hyperspherical Prototype Networks. - Pascal Mettes; Elise van der Pol; Cees Snoek (NeurIPS, 2019)

Plannable Approximations to MDP Homomorphisms: Equivariance under Actions. - Elise van der Pol; Thomas Kipf; Frans A. Oliehoek; Max Welling (AAMAS, 2020)

Contrastive Learning of Structured World Models. - Thomas N. Kipf; Elise van der Pol; Max Welling (ICLR, 2020)

MDP Homomorphic Networks: Group Symmetries in Reinforcement Learning. - Elise van der Pol; Daniel E. Worrall; Herke van Hoof; Frans A. Oliehoek; Max Welling (NeurIPS, 2020)

The Impact of Negative Sampling on Contrastive Structured World Models. - Ondrej Biza; Elise van der Pol; Thomas Kipf (CoRR, 2021)

Geometric and Physical Quantities improve E(3) Equivariant Message Passing. - Johannes Brandstetter; Rob Hesselink; Elise van der Pol; Erik J. Bekkers; Max Welling (ICLR, 2022)

Multi-Agent MDP Homomorphic Networks. - Elise van der Pol; Herke van Hoof; Frans A. Oliehoek; Max Welling (ICLR, 2022)

Maximum Class Separation as Inductive Bias in One Matrix. - Tejaswi Kasarla; Gertjan J. Burghouts; Max van Spengler; Elise van der Pol; Rita Cucchiara; Pascal Mettes (NeurIPS, 2022)

Equivariant Networks for Zero-Shot Coordination. - Darius Muglich; Christian Schröder de Witt; Elise van der Pol; Shimon Whiteson; Jakob N. Foerster (NeurIPS, 2022)

Stochastic Parallelizable Eigengap Dilation for Large Graph Clustering. - Elise van der Pol; Ian Gemp; Yoram Bachrach (TAG-ML, 2022)

Stochastic Parallelizable Eigengap Dilation for Large Graph Clustering. - Elise van der Pol; Ian Gemp; Yoram Bachrach; Richard Everett 001 (CoRR, 2022)

One-shot Imitation Learning via Interaction Warping. - Ondrej Biza; Skye Thompson; Kishore Reddy Pagidi; Abhinav Kumar; Elise van der Pol; Robin Walters 001; Thomas Kipf; Jan-Willem van de Meent; Lawson L. S. Wong; Robert Platt 001 (CoRL, 2023)

Expected Return Symmetries. - Darius Muglich; Johannes Forkel; Elise van der Pol; Jakob Nicolaus Foerster (ICLR, 2025)

Learning Abstract World Models with a Group-Structured Latent Space. - Thomas Delliaux; Nguyen-Khanh Vu; Vincent François-Lavet; Elise van der Pol; Emmanuel Rachelson (CoRR, 2025)