Fotiadis, Stathi

6 publications

ICML 2025 Adaptive Flow Matching for Resolving Small-Scale Physics Stathi Fotiadis, Noah D Brenowitz, Tomas Geffner, Yair Cohen, Michael Pritchard, Arash Vahdat, Morteza Mardani

ICML 2023 Disentangled Generative Models for Robust Prediction of System Dynamics Stathi Fotiadis, Mario Lino Valencia, Shunlong Hu, Stef Garasto, Chris D Cantwell, Anil Anthony Bharath

ICLR 2023 Fisher-Legendre (FishLeg) Optimization of Deep Neural Networks Jezabel R Garcia, Federica Freddi, Stathi Fotiadis, Maolin Li, Sattar Vakili, Alberto Bernacchia, Guillaume Hennequin

ICML 2023 Image Generation with Shortest Path Diffusion Ayan Das, Stathi Fotiadis, Anil Batra, Farhang Nabiei, Fengting Liao, Sattar Vakili, Da-Shan Shiu, Alberto Bernacchia

ICLRW 2022 REMuS-GNN: A Rotation-Equivariant Model for Simulating Continuum Dynamics Mario Lino Valencia, Stathi Fotiadis, Anil Anthony Bharath, Chris D Cantwell

ICLRW 2020 Comparing Recurrent and Convolutional Neural Networks for Predicting Wave Propagation Stathi Fotiadis, Eduardo Pignatelli, Mario Lino Valencia, Chris Cantwell, Amos Storkey, Anil A. Bharath