Stathi Fotiadis

Physics and Astronomy · Physical Sciences

8h-index258citations23works0.02yr avg
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Research Topics

Model Reduction and Neural Networks(8), Robotics and Sensor-Based Localization(5), Generative Adversarial Networks and Image Synthesis(4), Fluid Dynamics and Vibration Analysis(4), Lattice Boltzmann Simulation Studies(4)

Publications23 total

Flux Already Knows -- Activating Subject-Driven Image Generation without Training
arXiv (Cornell University)·2025Open Access
Stochastic Flow Matching for Resolving Small-Scale Physics
arXiv (Cornell University)·2024Open Access
Score Normalization for a Faster Diffusion Exponential Integrator Sampler
2023Open Access
Current and emerging deep-learning methods for the simulation of fluid dynamics
Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences·2023· 69 citedOpen Access
Image generation with shortest path diffusion
arXiv (Cornell University)·2023Open Access
Multi-scale rotation-equivariant graph neural networks for unsteady Eulerian fluid dynamics
Physics of Fluids·2022· 63 citedOpen Access
Towards Fast Simulation of Environmental Fluid Mechanics with Multi-Scale Graph Neural Networks
arXiv (Cornell University)·2022· 9 citedOpen Access
Disentangled Generative Models for Robust Prediction of System Dynamics
arXiv (Cornell University)·2021Open Access
Disentangled generative models for robust dynamical system prediction
arXiv (Cornell University)·2021Open Access
Disentangling ODE parameters from dynamics in VAEs
arXiv (Cornell University)·2021Open Access
Simulating Continuum Mechanics with Multi-Scale Graph Neural Networks
arXiv (Cornell University)·2021· 3 citedOpen Access
Fully Convolutional Approach for Simulating Wave Dynamics
2021
Simulating Surface Wave Dynamics with Convolutional Networks
arXiv (Cornell University)·2020· 9 citedOpen Access
Simulating surface wave dynamics with convolutional networks
arXiv (Cornell University)·2020· 7 citedOpen Access
Comparing recurrent and convolutional neural networks for predicting wave propagation.
2020· 4 citedOpen Access
Comparing recurrent and convolutional neural networks for predicting wave propagation
arXiv (Cornell University)·2020· 29 citedOpen Access
Towards Evaluating and Understanding Robust Optimisation under Transfer
arXiv (Cornell University)·2019Open Access
An Empirical Evaluation of Adversarial Robustness under Transfer Learning
arXiv (Cornell University)·2019· 6 citedOpen Access
Tracking and following pedestrian trajectories, an approach for autonomous surveillance of critical infrastructures
Industrial Robot the international journal of robotics research and application·2015· 9 cited
RiskRRT-Based Planning For Interception of Moving Objects in Complex Environments
Advances in intelligent systems and computing·2013· 9 cited
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Frequent Co-authors

Anil A. Bharath(12), Chris D. Cantwell(12), Mario Lino(8), Mario Garzón(5), Antonio Barrientos(5), Eduardo Pignatelli(5), Mario Lino Valencia(4), Amos Storkey(2), Andrés Alacid(2), Anne Spalanzani(2), Todor Davchev(2), Nick Antonopoulos(2), Subramanian Ramamoorthy(2), Ayan Kumar Das(2), Farhang Nabiei(2), Alberto Bernacchia(2), Shunlong Hu(2), Jaime del Cerro(1), Gonzalo R. Rodríguez-Canosa(1), Bang-Chen Wang(1)