An Empirical Evaluation of Adversarial Robustness under Transfer Learning. - Todor Davchev; Timos Korres; Stathi Fotiadis; Nick Antonopoulos; Subramanian Ramamoorthy (CoRR, 2019)

Comparing recurrent and convolutional neural networks for predicting wave propagation. - Stathi Fotiadis; Eduardo Pignatelli; Mario Lino Valencia; Chris D. Cantwell; Amos J. Storkey; Anil A. Bharath (CoRR, 2020)

Simulating Surface Wave Dynamics with Convolutional Networks. - Mario Lino Valencia; Chris D. Cantwell; Stathi Fotiadis; Eduardo Pignatelli; Anil A. Bharath (CoRR, 2020)

Simulating Continuum Mechanics with Multi-Scale Graph Neural Networks. - Mario Lino; Chris D. Cantwell; Anil A. Bharath; Stathi Fotiadis (CoRR, 2021)

Disentangling ODE parameters from dynamics in VAEs. - Stathi Fotiadis; Mario Lino; Chris D. Cantwell; Anil A. Bharath (CoRR, 2021)

REMuS-GNN: A Rotation-Equivariant Model for Simulating Continuum Dynamics. - Mario Lino; Stathi Fotiadis; Anil A. Bharath; Chris D. Cantwell (TAG-ML, 2022)

Towards Fast Simulation of Environmental Fluid Mechanics with Multi-Scale Graph Neural Networks. - Mario Lino; Stathi Fotiadis; Anil A. Bharath; Chris D. Cantwell (CoRR, 2022)

Fisher-Legendre (FishLeg) optimization of deep neural networks. - Jezabel R. Garcia; Federica Freddi; Stathi Fotiadis; Maolin Li; Sattar Vakili; Alberto Bernacchia; Guillaume Hennequin (ICLR, 2023)

Image generation with shortest path diffusion. - Ayan Das 005; Stathi Fotiadis; Anil Batra; Farhang Nabiei; Fengting Liao; Sattar Vakili; Da-Shan Shiu; Alberto Bernacchia (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 (ICML, 2023)

Score Normalization for a Faster Diffusion Exponential Integrator Sampler. - Guoxuan Xia; Duolikun Danier; Ayan Das 005; Stathi Fotiadis; Farhang Nabiei; Ushnish Sengupta; Alberto Bernacchia (CoRR, 2023)

Stochastic Flow Matching for Resolving Small-Scale Physics. - Stathi Fotiadis; Noah D. Brenowitz; Tomas Geffner; Yair Cohen; Michael S. Pritchard; Arash Vahdat; Morteza Mardani (CoRR, 2024)

Flux Already Knows - Activating Subject-Driven Image Generation without Training. - Hao Kang; Stathi Fotiadis; Liming Jiang; Qing Yan; Yumin Jia; Zichuan Liu; Min Jin Chong; Xin Lu (CoRR, 2025)