Peter Yatsyshin

According to our database, Peter Yatsyshin authored at least 4 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

FastNet: Improving the physical consistency of machine-learning weather prediction models through loss function design.

Tom Dunstan, Oliver Strickson, Thusal Bennett, Jack Bowyer, Matthew Burnand, James Chappell, Alejandro Coca-Castro, Kirstine Ida Dale, Eric G. Daub, Noushin Eftekhari, Manvendra Janmaijaya, Jon Lillis, David Salvador Jasin, Nathan Simpson, Ryan Sze-Yin Chan, Mohamad Elmasri, Lydia Allegranza France, Sam Madge, Levan Bokeria, Hannah Brown, Tom Dodds, Anna-Louise Ellis, David Llewellyn-Jones, Theo McCaie, Sophia Moreton, Tom Potter, James Robinson, Adam A. Scaife, Iain Stenson, David Walters, Karina Bett-Williams, Louisa van Zeeland, Peter Yatsyshin, J. Scott Hosking

CoRR, September, 2025

Deep Optimal Sensor Placement for Black Box Stochastic Simulations.

Paula Cordero-Encinar, Tobias Schröder, Peter Yatsyshin, Andrew B. Duncan

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2021

A finite-volume method for fluctuating dynamical density functional theory.

Antonio Russo, Sergio P. Perez, Miguel A. Durán-Olivencia, Peter Yatsyshin, José A. Carrillo, Serafim Kalliadasis

J. Comput. Phys., 2021

2017

Pseudospectral methods for density functional theory in bounded and unbounded domains.

Andreas Nold, Benjamin D. Goddard, Peter Yatsyshin, Nikos Savva, Serafim Kalliadasis

J. Comput. Phys., 2017