Holenderski, Mike

5 publications

ECML-PKDD 2023 Equivariant Representation Learning in the Presence of Stabilizers Luis Armando Pérez Rey, Giovanni Luca Marchetti, Danica Kragic, Dmitri Jarnikov, Mike Holenderski

NeurIPSW 2022 Equivariant Representations for Non-Free Group Actions Luis Armando Pérez Rey, Giovanni Luca Marchetti, Danica Kragic, Dmitri Jarnikov, Mike Holenderski

ICML 2022 Quantifying and Learning Linear Symmetry-Based Disentanglement Loek Tonnaer, Luis Armando Perez Rey, Vlado Menkovski, Mike Holenderski, Jim Portegies

NeurIPSW 2021 Content-Based Image Retrieval from Weakly-Supervised Disentangled Representations Luis Armando Pérez Rey, Dmitri Jarnikov, Mike Holenderski

ACML 2021 Time-Constrained Multi-Agent Path Finding in Non-Lattice Graphs with Deep Reinforcement Learning Marijn Knippenberg, Mike Holenderski, Vlado Menkovski