Dmitrii Kochkov

11 papers A* 2Journal 9
YearRankTypeTitle / Venue / Authors
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
2022 A* conf
Learned Simulators for Turbulence.
ICLR
Kimberly L. Stachenfeld, Drummond Buschman Fielding, Dmitrii Kochkov, Miles D. Cranmer, Tobias Pfaff, Jonathan Godwin, Can Cui, Shirley Ho, Peter W. Battaglia, Alvaro Sanchez-Gonzalez
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
Learned Coarse Models for Efficient Turbulence Simulation.
CoRR
Kimberly L. Stachenfeld, Drummond B. Fielding, Dmitrii Kochkov, Miles D. Cranmer, Tobias Pfaff, Jonathan Godwin, Can Cui, Shirley Ho, Peter W. Battaglia, Alvaro Sanchez-Gonzalez
2021 J jnl
Learning ground states of quantum Hamiltonians with graph networks.
CoRR
Dmitrii Kochkov, Tobias Pfaff, Alvaro Sanchez-Gonzalez, Peter W. Battaglia, Bryan K. Clark
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