Stuehmer, Jan

6 publications

ICMLW 2024 Grappa - A Machine Learned Molecular Mechanics Force Field Leif Seute, Eric Hartmann, Jan Stuehmer, Frauke Gräter

ICLR 2023 Amortised Invariance Learning for Contrastive Self-Supervision Ruchika Chavhan, Jan Stuehmer, Calum Heggan, Mehrdad Yaghoobi, Timothy Hospedales

NeurIPSW 2023 Connectivity Optimized Nested Line Graph Networks for Crystal Structures Robin Ruff, Patrick Reiser, Jan Stuehmer, Pascal Friederich

ICLR 2023 Learning Where and When to Reason in Neuro-Symbolic Inference Cristina Cornelio, Jan Stuehmer, Shell Xu Hu, Timothy Hospedales

ICMLW 2022 HyperInvariances: Amortizing Invariance Learning Ruchika Chavhan, Henry Gouk, Jan Stuehmer, Timothy Hospedales

AISTATS 2020 Independent Subspace Analysis for Unsupervised Learning of Disentangled Representations Jan Stuehmer, Richard Turner, Sebastian Nowozin