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2020 – today
- 2023
[c4]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- [c3]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: 7009-7024 - [c2]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: 10222-10248 - [i9]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 abs/2306.00501 (2023) - [i8]Guoxuan Xia, Duolikun Danier, Ayan Das, Stathi Fotiadis, Farhang Nabiei, Ushnish Sengupta, Alberto Bernacchia:
Score Normalization for a Faster Diffusion Exponential Integrator Sampler. CoRR abs/2311.00157 (2023) - 2022
- [c1]Mario Lino, Stathi Fotiadis, Anil A. Bharath, Chris D. Cantwell:
REMuS-GNN: A Rotation-Equivariant Model for Simulating Continuum Dynamics. TAG-ML 2022: 226-236 - [i7]Mario Lino, Stathi Fotiadis, Anil A. Bharath, Chris D. Cantwell:
Towards Fast Simulation of Environmental Fluid Mechanics with Multi-Scale Graph Neural Networks. CoRR abs/2205.02637 (2022) - [i6]Mario Lino, Stathi Fotiadis, Anil A. Bharath, Chris D. Cantwell:
REMuS-GNN: A Rotation-Equivariant Model for Simulating Continuum Dynamics. CoRR abs/2205.07852 (2022) - 2021
- [i5]Mario Lino, Chris D. Cantwell, Anil A. Bharath, Stathi Fotiadis:
Simulating Continuum Mechanics with Multi-Scale Graph Neural Networks. CoRR abs/2106.04900 (2021) - [i4]Stathi Fotiadis, Mario Lino, Chris D. Cantwell, Anil A. Bharath:
Disentangling ODE parameters from dynamics in VAEs. CoRR abs/2108.11684 (2021) - 2020
- [i3]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 abs/2002.08981 (2020) - [i2]Mario Lino Valencia, Chris D. Cantwell, Stathi Fotiadis, Eduardo Pignatelli, Anil A. Bharath:
Simulating Surface Wave Dynamics with Convolutional Networks. CoRR abs/2012.00718 (2020)
2010 – 2019
- 2019
- [i1]Todor Davchev, Timos Korres, Stathi Fotiadis, Nick Antonopoulos
, Subramanian Ramamoorthy:
An Empirical Evaluation of Adversarial Robustness under Transfer Learning. CoRR abs/1905.02675 (2019)
Coauthor Index
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