Stathi Fotiadis

16 papers A* 4Journal 11Unranked 1
YearRankTypeTitle / Venue / Authors
2025 A* conf
Adaptive Flow Matching for Resolving Small-Scale Physics.
ICML
Stathi Fotiadis, Noah D. Brenowitz, Tomas Geffner, Yair Cohen, Michael S. Pritchard, Arash Vahdat, Morteza Mardani
2025 J jnl
Flux Already Knows - Activating Subject-Driven Image Generation without Training.
CoRR
Hao Kang, Stathi Fotiadis, Liming Jiang, Qing Yan, Yumin Jia, Zichuan Liu, Min Jin Chong, Xin Lu
2024 J jnl
Stochastic Flow Matching for Resolving Small-Scale Physics.
CoRR
Stathi Fotiadis, Noah D. Brenowitz, Tomas Geffner, Yair Cohen, Michael S. Pritchard, Arash Vahdat, Morteza Mardani
2023 A* conf
Disentangled Generative Models for Robust Prediction of System Dynamics.
ICML
Stathi Fotiadis, Mario Lino Valencia, Shunlong Hu, Stef Garasto, Chris D. Cantwell, Anil Anthony Bharath
2023 A* conf
Fisher-Legendre (FishLeg) optimization of deep neural networks.
ICLR
Jezabel R. Garcia, Federica Freddi, Stathi Fotiadis, Maolin Li, Sattar Vakili, Alberto Bernacchia, Guillaume Hennequin
2023 A* conf
Image generation with shortest path diffusion.
ICML
Ayan Das, Stathi Fotiadis, Anil Batra, Farhang Nabiei, Fengting Liao, Sattar Vakili, Da-Shan Shiu, Alberto Bernacchia
2023 J jnl
Image generation with shortest path diffusion.
CoRR
Ayan Das, Stathi Fotiadis, Anil Batra, Farhang Nabiei, Feng-Ting Liao, Sattar Vakili, Da-Shan Shiu, Alberto Bernacchia
2023 J jnl
Score Normalization for a Faster Diffusion Exponential Integrator Sampler.
CoRR
Guoxuan Xia, Duolikun Danier, Ayan Das, Stathi Fotiadis, Farhang Nabiei, Ushnish Sengupta, Alberto Bernacchia
2022 — conf
REMuS-GNN: A Rotation-Equivariant Model for Simulating Continuum Dynamics.
TAG-ML
Mario Lino, Stathi Fotiadis, Anil A. Bharath, Chris D. Cantwell
2022 J jnl
REMuS-GNN: A Rotation-Equivariant Model for Simulating Continuum Dynamics.
CoRR
Mario Lino, Stathi Fotiadis, Anil A. Bharath, Chris D. Cantwell
2022 J jnl
Towards Fast Simulation of Environmental Fluid Mechanics with Multi-Scale Graph Neural Networks.
CoRR
Mario Lino, Stathi Fotiadis, Anil A. Bharath, Chris D. Cantwell
2021 J jnl
Disentangling ODE parameters from dynamics in VAEs.
CoRR
Stathi Fotiadis, Mario Lino, Chris D. Cantwell, Anil A. Bharath
2021 J jnl
Simulating Continuum Mechanics with Multi-Scale Graph Neural Networks.
CoRR
Mario Lino, Chris D. Cantwell, Anil A. Bharath, Stathi Fotiadis
2020 J jnl
Comparing recurrent and convolutional neural networks for predicting wave propagation.
CoRR
Stathi Fotiadis, Eduardo Pignatelli, Mario Lino Valencia, Chris D. Cantwell, Amos J. Storkey, Anil A. Bharath
2020 J jnl
Simulating Surface Wave Dynamics with Convolutional Networks.
CoRR
Mario Lino Valencia, Chris D. Cantwell, Stathi Fotiadis, Eduardo Pignatelli, Anil A. Bharath
2019 J jnl
An Empirical Evaluation of Adversarial Robustness under Transfer Learning.
CoRR
Todor Davchev, Timos Korres, Stathi Fotiadis, Nick Antonopoulos, Subramanian Ramamoorthy