Stathi Fotiadis

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 13

Top Topics

Image Generation

Score Normalization

Top Venues

Publications

Jezabel R. Garcia, Federica Freddi, Stathi Fotiadis, Maolin Li, Sattar Vakili, Alberto Bernacchia, Guillaume Hennequin
Fisher-Legendre (FishLeg) optimization of deep neural networks. ICLR (2023)
Stathi Fotiadis, Mario Lino Valencia, Shunlong Hu, Stef Garasto, Chris D. Cantwell, Anil Anthony Bharath
Disentangled Generative Models for Robust Prediction of System Dynamics. ICML (2023)
Guoxuan Xia, Duolikun Danier, Ayan Das, Stathi Fotiadis, Farhang Nabiei, Ushnish Sengupta, Alberto Bernacchia
Score Normalization for a Faster Diffusion Exponential Integrator Sampler. CoRR (2023)
Ayan Das, Stathi Fotiadis, Anil Batra, Farhang Nabiei, Fengting Liao, Sattar Vakili, Da-Shan Shiu, Alberto Bernacchia
Image generation with shortest path diffusion. ICML (2023)
Ayan Das, Stathi Fotiadis, Anil Batra, Farhang Nabiei, Feng-Ting Liao, Sattar Vakili, Da-shan Shiu, Alberto Bernacchia
Image generation with shortest path diffusion. CoRR (2023)
Mario Lino, Stathi Fotiadis, Anil A. Bharath, Chris D. Cantwell
REMuS-GNN: A Rotation-Equivariant Model for Simulating Continuum Dynamics. TAG-ML (2022)
Mario Lino, Stathi Fotiadis, Anil A. Bharath, Chris D. Cantwell
Towards Fast Simulation of Environmental Fluid Mechanics with Multi-Scale Graph Neural Networks. CoRR (2022)
Mario Lino, Stathi Fotiadis, Anil A. Bharath, Chris D. Cantwell
REMuS-GNN: A Rotation-Equivariant Model for Simulating Continuum Dynamics. CoRR (2022)
Mario Lino, Chris D. Cantwell, Anil A. Bharath, Stathi Fotiadis
Simulating Continuum Mechanics with Multi-Scale Graph Neural Networks. CoRR (2021)
Stathi Fotiadis, Mario Lino, Chris D. Cantwell, Anil A. Bharath
Disentangling ODE parameters from dynamics in VAEs. CoRR (2021)
Stathi Fotiadis, Eduardo Pignatelli, Mario Lino Valencia, Chris D. Cantwell, Amos J. Storkey, Anil A. Bharath
Comparing recurrent and convolutional neural networks for predicting wave propagation. CoRR (2020)
Mario Lino Valencia, Chris D. Cantwell, Stathi Fotiadis, Eduardo Pignatelli, Anil A. Bharath
Simulating Surface Wave Dynamics with Convolutional Networks. CoRR (2020)
Todor Davchev, Timos Korres, Stathi Fotiadis, Nick Antonopoulos, Subramanian Ramamoorthy
An Empirical Evaluation of Adversarial Robustness under Transfer Learning. CoRR (2019)