Hoyer, Stephan

6 publications

ICML 2024 DySLIM: Dynamics Stable Learning by Invariant Measure for Chaotic Systems Yair Schiff, Zhong Yi Wan, Jeffrey B. Parker, Stephan Hoyer, Volodymyr Kuleshov, Fei Sha, Leonardo Zepeda-Núñez

TMLR 2023 Learning to Correct Spectral Methods for Simulating Turbulent Flows Gideon Dresdner, Dmitrii Kochkov, Peter Christian Norgaard, Leonardo Zepeda-Nunez, Jamie Smith, Michael Brenner, Stephan Hoyer

NeurIPS 2022 Efficient and Modular Implicit Differentiation Mathieu Blondel, Quentin Berthet, Marco Cuturi, Roy Frostig, Stephan Hoyer, Felipe Llinares-Lopez, Fabian Pedregosa, Jean-Philippe Vert

ICML 2021 Variational Data Assimilation with a Learned Inverse Observation Operator Thomas Frerix, Dmitrii Kochkov, Jamie Smith, Daniel Cremers, Michael Brenner, Stephan Hoyer

ICLRW 2020 Lagrangian Neural Networks Miles Cranmer, Sam Greydanus, Stephan Hoyer, Peter Battaglia, David Spergel, Shirley Ho

NeurIPSW 2019 Neural Reparameterization Improves Structural Optimization Stephan Hoyer, Jascha Sohl-Dickstein, Sam Greydanus