activity
20062026
most citedLearning with a Wasserstein Loss

355 citations · 468 across the 28 of their papers we have counts for

collaborators

28 papers

cs.DC2026

Stencil Computation at the Intersection of AI and HPC

Timothee Ewart, Mauricio Araya-Polo

Tensor compilers such as TinyTC and OpenAI Triton were originally developed for AI workloads, but the same tiling and memory abstractions can be applied to implement efficient high…

physics.geo-ph2026

AGENTS4GEOS: agentic platform for open-source multi-physics simulation

Adriano M. A. Côrtes, Roberto M. Velho, Fernando A. Rochinha +3

Multi-physics simulations are essential for understanding and monitoring intricate subsurface processes such as CO2 storage. Their computational demands call for surrogate models a…

cs.LG2026

Towards Fast GNN Surrogates for CO2 Migration in Complex Geological Formations

Rodrigo S. Luna, Thiago H. N. Coelho, Luiz S. L. Neto +8

This chapter discusses how a data-driven machine learning approach can reproduce key aspects of the physical behavior of multiphase flows in complex geological formations. We propo…

cs.LG2026

Accelerated Full Waveform Inversion by Deep Compressed Learning

Maayan Gelboim, Amir Adler, Mauricio Araya-Polo

We propose and test a method to reduce the dimensionality of Full Waveform Inversion (FWI) inputs as computational cost mitigation approach. Given modern seismic acquisition system…

physics.geo-ph2024★ 1 cited

Uncertainty Quantification in Seismic Inversion Through Integrated Importance Sampling and Ensemble Methods

Luping Qu, Mauricio Araya-Polo, Laurent Demanet

Seismic inversion is essential for geophysical exploration and geological assessment, but it is inherently subject to significant uncertainty. This uncertainty stems primarily from…

cs.MS2024

Matrix-Free Finite Volume Kernels on a Dataflow Architecture

Ryuichi Sai, Francois P. Hamon, John Mellor-Crummey +1

Fast and accurate numerical simulations are crucial for designing large-scale geological carbon storage projects ensuring safe long-term CO2 containment as a climate change mitigat…