James Lottes

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 7

Top Topics

Stochastic Differential Equations

Top Venues

Numer. Linear Algebra Appl.

Publications

Thomas Colthurst, Srinivas Vasudevan, James Lottes, Brian Patton
Fast Approximate Determinants Using Rational Functions. CoRR (2024)
James Lottes
Optimal polynomial smoothers for multigrid V-cycles. Numer. Linear Algebra Appl. 30 (6) (2023)
Anudhyan Boral, Zhong Yi Wan, Leonardo Zepeda-Núñez, James Lottes, Qing Wang, Yi-Fan Chen, John Anderson, Fei Sha
Neural Ideal Large Eddy Simulation: Modeling Turbulence with Neural Stochastic Differential Equations. NeurIPS (2023)
Anudhyan Boral, Zhong Yi Wan, Leonardo Zepeda-Núñez, James Lottes, Qing Wang, Yi-Fan Chen, John Robert Anderson, Fei Sha
Neural Ideal Large Eddy Simulation: Modeling Turbulence with Neural Stochastic Differential Equations. CoRR (2023)
Dmitrii Kochkov, Janni Yuval, Ian Langmore, Peter 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
Neural General Circulation Models. CoRR (2023)
James Lottes
Optimal polynomial smoothers for multigrid V-cycles. CoRR (2022)
Francois Belletti, Davis King, James Lottes, Yi-Fan Chen, John R. Anderson
Sensitivity Analysis in the Dupire Local Volatility Model with Tensorflow. CoRR (2020)