Edoardo Calvello

According to our database, Edoardo Calvello authored at least 9 papers between 2025 and 2026.

Collaborative distances:

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

2026

One Operator for Many Densities: Amortized Approximation of Conditioning by Neural Operators.

Panos Tsimpos, Edoardo Calvello, Ayoub Belhadji, Nicholas H. Nelsen

CoRR, May, 2026

Operator Learning for Smoothing and Forecasting.

Edoardo Calvello, Elizabeth Carlson, Nikola B. Kovachki, Michael N. Manta, Andrew M. Stuart

CoRR, March, 2026

Demystifying Data-Driven Probabilistic Medium-Range Weather Forecasting.

Jean Kossaifi, Nikola B. Kovachki, Morteza Mardani, Daniel V. Leibovici, Suman Ravuri, Ira Shokar, Edoardo Calvello, Mohammad Shoaib Abbas, Peter Harrington, Ashay Subramaniam, Noah D. Brenowitz, Boris Bonev, Wonmin Byeon, Karsten Kreis, Dale R. Durran, Arash Vahdat, Mike Pritchard, Jan Kautz

CoRR, January, 2026

Accuracy of the Ensemble Kalman Filter in the Near-Linear Setting.

Edoardo Calvello, Pierre Monmarché, Andrew M. Stuart, Urbain Vaes

SIAM J. Numer. Anal., 2026

Learning enhanced ensemble filters.

Eviatar Bach, Ricardo Baptista, Edoardo Calvello, Bohan Chen, Andrew M. Stuart

J. Comput. Phys., 2026

2025

Operator Learning at Machine Precision.

Aras Bacho, Aleksei G. Sorokin, Xianjin Yang, Théo Bourdais, Edoardo Calvello, Matthieu Darcy, Alexander Hsu, Bamdad Hosseini, Houman Owhadi

CoRR, November, 2025

Solving Roughly Forced Nonlinear PDEs via Misspecified Kernel Methods and Neural Networks.

Ricardo Baptista, Edoardo Calvello, Matthieu Darcy, Houman Owhadi, Andrew M. Stuart, Xianjin Yang

CoRR, January, 2025

Continuum Attention for Neural Operators.

Edoardo Calvello, Nikola B. Kovachki, Matthew E. Levine, Andrew M. Stuart

J. Mach. Learn. Res., 2025

Ensemble Kalman methods: A mean-field perspective.

Edoardo Calvello, Sebastian Reich, Andrew M. Stuart

Acta Numer., 2025