Stephan Hoyer

26 papers A* 3Journal 22Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Accelerating scientific discovery with the common task framework.
CoRR
J. Nathan Kutz, Peter W. Battaglia, Michael P. Brenner, Kevin Carlberg, Aric A. Hagberg, Shirley Ho, Stephan Hoyer, Henning Lange, Hod Lipson, Michael W. Mahoney, Frank Noé, Max Welling, Laure Zanna, Francis Zhu, Steven L. Brunton
2024 J jnl
4D-Var using Hessian approximation and backpropagation applied to automatically-differentiable numerical and machine learning models.
CoRR
Kylen Solvik, Stephen G. Penny, Stephan Hoyer
2024 A* conf
DySLIM: Dynamics Stable Learning by Invariant Measure for Chaotic Systems.
ICML
Yair Schiff, Zhong Yi Wan, Jeffrey B. Parker, Stephan Hoyer, Volodymyr Kuleshov, Fei Sha, Leonardo Zepeda-Núñez
2024 J jnl
DySLIM: Dynamics Stable Learning by Invariant Measure for Chaotic Systems.
CoRR
Yair Schiff, Zhong Yi Wan, Jeffrey B. Parker, Stephan Hoyer, Volodymyr Kuleshov, Fei Sha, Leonardo Zepeda-Núñez
2024 J jnl
Neural general circulation models for weather and climate.
Nat.
Dmitrii Kochkov, Janni Yuval, Ian Langmore, Peter C. Norgaard, Jamie A. Smith, Griffin Mooers, Milan Klöwer, James Lottes, Stephan Rasp, Peter D. Düben, Sam Hatfield, Peter W. Battaglia, Alvaro Sanchez-Gonzalez, Matthew Willson, Michael P. Brenner, Stephan Hoyer
2024 J jnl
Neural general circulation models optimized to predict satellite-based precipitation observations.
CoRR
Janni Yuval, Ian Langmore, Dmitrii Kochkov, Stephan Hoyer
2023 J jnl
Learning to correct spectral methods for simulating turbulent flows.
Trans. Mach. Learn. Res.
Gideon Dresdner, Dmitrii Kochkov, Peter Christian Norgaard, Leonardo Zepeda-Núñez, Jamie A. Smith, Michael P. Brenner, Stephan Hoyer
2023 J jnl
Neural General Circulation Models.
CoRR
Dmitrii Kochkov, Janni Yuval, Ian Langmore, Peter C. Norgaard, Jamie A. Smith, Griffin Mooers, James Lottes, Stephan Rasp, Peter D. Düben, Milan Klöwer, Sam Hatfield, Peter W. Battaglia, Alvaro Sanchez-Gonzalez, Matthew Willson, Michael P. Brenner, Stephan Hoyer
2023 — conf
Python Array API Standard: Toward Array Interoperability in the Scientific Python Ecosystem.
SciPy
Aaron Meurer, Athan Reines, Ralf Gommers, Yao-Lung L. Fang, John Kirkham, Matthew Barber, Stephan Hoyer, Andreas Müller, Sheng Zha, Saul Shanabrook, Stephannie Jiménez Gacha, Mario Lezcano Casado, Thomas J. Fan, Tyler Reddy, Alexandre Passos, Hyukjin Kwon, Travis E. Oliphant, Consortium for Python Data API Standards
2023 J jnl
WeatherBench 2: A benchmark for the next generation of data-driven global weather models.
CoRR
Stephan Rasp, Stephan Hoyer, Alexander Merose, Ian Langmore, Peter W. Battaglia, Tyler Russell, Alvaro Sanchez-Gonzalez, Vivian Yang, Rob Carver, Shreya Agrawal, Matthew Chantry, Zied Ben Bouallegue, Peter Dueben, Carla Bromberg, Jared Sisk, Luke Barrington, Aaron Bell, Fei Sha
2022 A* conf
Efficient and Modular Implicit Differentiation.
NeurIPS
Mathieu Blondel, Quentin Berthet, Marco Cuturi, Roy Frostig, Stephan Hoyer, Felipe Llinares-López, Fabian Pedregosa, Jean-Philippe Vert
2022 J jnl
GraphCast: Learning skillful medium-range global weather forecasting.
CoRR
Rémi Lam, Alvaro Sanchez-Gonzalez, Matthew Willson, Peter Wirnsberger, Meire Fortunato, Alexander Pritzel, Suman V. Ravuri, Timo Ewalds, Ferran Alet, Zach Eaton-Rosen, Weihua Hu, Alexander Merose, Stephan Hoyer, George Holland, Jacklynn Stott, Oriol Vinyals, Shakir Mohamed, Peter W. Battaglia
2022 J jnl
Learning to correct spectral methods for simulating turbulent flows.
CoRR
Gideon Dresdner, Dmitrii Kochkov, Peter C. Norgaard, Leonardo Zepeda-Núñez, Jamie A. Smith, Michael P. Brenner, Stephan Hoyer
2021 J jnl
Efficient and Modular Implicit Differentiation.
CoRR
Mathieu Blondel, Quentin Berthet, Marco Cuturi, Roy Frostig, Stephan Hoyer, Felipe Llinares-López, Fabian Pedregosa, Jean-Philippe Vert
2021 J jnl
Machine learning accelerated computational fluid dynamics.
CoRR
Dmitrii Kochkov, Jamie A. Smith, Ayya Alieva, Qing Wang, Michael P. Brenner, Stephan Hoyer
2021 A* conf
Variational Data Assimilation with a Learned Inverse Observation Operator.
ICML
Thomas Frerix, Dmitrii Kochkov, Jamie A. Smith, Daniel Cremers, Michael P. Brenner, Stephan Hoyer
2021 J jnl
Variational Data Assimilation with a Learned Inverse Observation Operator.
CoRR
Thomas Frerix, Dmitrii Kochkov, Jamie A. Smith, Daniel Cremers, Michael P. Brenner, Stephan Hoyer
2020 J jnl
Array Programming with NumPy.
CoRR
Charles R. Harris, K. Jarrod Millman, Stéfan van der Walt, Ralf Gommers, Pauli Virtanen, David Cournapeau, Eric Wieser, Julian Taylor, Sebastian Berg, Nathaniel J. Smith, Robert Kern, Matti Picus, Stephan Hoyer, Marten H. van Kerkwijk, Matthew Brett, Allan Haldane, Jaime Fernández del Río, Mark Wiebe, Pearu Peterson, Pierre Gérard-Marchant, Kevin Sheppard, Tyler Reddy, Warren Weckesser, Hameer Abbasi, Christoph Gohlke, Travis E. Oliphant
2020 J jnl
Array programming with NumPy.
Nat.
Charles R. Harris, K. Jarrod Millman, Stéfan van der Walt, Ralf Gommers, Pauli Virtanen, David Cournapeau, Eric Wieser, Julian Taylor, Sebastian Berg, Nathaniel J. Smith, Robert Kern, Matti Picus, Stephan Hoyer, Marten H. van Kerkwijk, Matthew Brett, Allan Haldane, Jaime Fernández del Río, Mark Wiebe, Pearu Peterson, Pierre Gérard-Marchant, Kevin Sheppard, Tyler Reddy, Warren Weckesser, Hameer Abbasi, Christoph Gohlke, Travis E. Oliphant
2020 J jnl
Kohn-Sham equations as regularizer: building prior knowledge into machine-learned physics.
CoRR
Li Li, Stephan Hoyer, Ryan Pederson, Ruoxi Sun, Ekin D. Cubuk, Patrick Riley, Kieron Burke
2020 J jnl
Lagrangian Neural Networks.
CoRR
Miles D. Cranmer, Sam Greydanus, Stephan Hoyer, Peter W. Battaglia, David N. Spergel, Shirley Ho
2019 J jnl
Inundation Modeling in Data Scarce Regions.
CoRR
Zvika Ben-Haim, Vladimir Anisimov, Aaron Yonas, Varun Gulshan, Yusef Shafi, Stephan Hoyer, Sella Nevo
2019 J jnl
Neural reparameterization improves structural optimization.
CoRR
Stephan Hoyer, Jascha Sohl-Dickstein, Sam Greydanus
2018 J jnl
Assessing microscope image focus quality with deep learning.
BMC Bioinform.
Samuel J. Yang, Marc Berndl, D. Michael Ando, Mariya Barch, Arunachalam Narayanaswamy, Eric Christiansen, Stephan Hoyer, Chris Roat, Jane Hung, Curtis T. Rueden, Asim Shankar, Steven Finkbeiner, Philip Nelson
2018 J jnl
Data-driven metasurface discovery.
CoRR
Jiaqi Jiang, David Sell, Stephan Hoyer, Jason Hickey, Jianji Yang, Jonathan A. Fan
2017 J jnl
The Cramer Distance as a Solution to Biased Wasserstein Gradients.
CoRR
Marc G. Bellemare, Ivo Danihelka, Will Dabney, Shakir Mohamed, Balaji Lakshminarayanan, Stephan Hoyer, Rémi Munos