Peter Wirnsberger

According to our database, Peter Wirnsberger authored at least 8 papers between 2021 and 2024.

Collaborative distances:

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

2024

Target Score Matching.

Valentin De Bortoli, Michael J. Hutchinson, Peter Wirnsberger, Arnaud Doucet

CoRR, 2024

2023

Estimating Gibbs free energies via isobaric-isothermal flows.

Peter Wirnsberger, Borja Ibarz, George Papamakarios

Mach. Learn. Sci. Technol., September, 2023

Gibbs free energies via isobaric-isothermal flows.

Peter Wirnsberger, Borja Ibarz, George Papamakarios

CoRR, 2023

2022

Normalizing flows for atomic solids.

Peter Wirnsberger, George Papamakarios, Borja Ibarz, Sébastien Racanière, Andrew J. Ballard, Alexander Pritzel, Charles Blundell

Mach. Learn. Sci. Technol., 2022

GraphCast: Learning skillful medium-range global weather forecasting.

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

CoRR, 2022

MultiScale MeshGraphNets.

Meire Fortunato, Tobias Pfaff, Peter Wirnsberger, Alexander Pritzel, Peter W. Battaglia

CoRR, 2022

2021

SyMetric: Measuring the Quality of Learnt Hamiltonian Dynamics Inferred from Vision.

Irina Higgins, Peter Wirnsberger, Andrew Jaegle, Aleksandar Botev

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Which priors matter? Benchmarking models for learning latent dynamics.

Aleksandar Botev, Andrew Jaegle, Peter Wirnsberger, Daniel Hennes, Irina Higgins

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021