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Stathi Fotiadis
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Human detection from a mobile robot using fusion of laser and vision information
EP Fotiadis, M Garzón, A Barrientos
Sensors 13 (9), 11603-11635, 2013
622013
Comparing recurrent and convolutional neural networks for predicting wave propagation
S Fotiadis, E Pignatelli, ML Valencia, C Cantwell, A Storkey, AA Bharath
ICLR 2020 Workshop on Deep Learning and Differential Equations, 2020
432020
Simulating continuum mechanics with multi-scale graph neural networks
M Lino, C Cantwell, AA Bharath, S Fotiadis
arXiv:2106.04900, 2021
422021
Multi-scale rotation-equivariant graph neural networks for unsteady Eulerian fluid dynamics
M Lino, S Fotiadis, AA Bharath, CD Cantwell
Physics of Fluids 34 (8), 2022
412022
Simulating surface wave dynamics with convolutional networks
M Lino, C Cantwell, S Fotiadis, E Pignatelli, A Bharath
NeurIPS 2020 Workshop on Interpretable Inductive Biases and Physically …, 2020
202020
Current and emerging deep-learning methods for the simulation of fluid dynamics
M Lino, S Fotiadis, AA Bharath, CD Cantwell
Proceedings of the Royal Society A 479 (2275), 20230058, 2023
172023
Tracking and following pedestrian trajectories, an approach for autonomous surveillance of critical infrastructures
MA Garzon Oviedo, A Barrientos, J Del Cerro, A Alacid, E Fotiadis, ...
Industrial Robot: An International Journal 42 (5), 429-440, 2015
142015
Towards fast simulation of environmental fluid mechanics with multi-scale graph neural networks
M Lino, S Fotiadis, AA Bharath, C Cantwell
ICLR Workshop on AI for Earth and Space Science, 2022
122022
An empirical evaluation of adversarial robustness under transfer learning
T Davchev, T Korres, S Fotiadis, N Antonopoulos, S Ramamoorthy
ICML workshop on understanding and improving generalization in deep learning, 2019
102019
RiskRRT-based planning for interception of moving objects in complex environments
M Garzón, EP Fotiadis, A Barrientos, A Spalanzani
ROBOT2013: First Iberian Robotics Conference: Advances in Robotics, Vol. 2 …, 2014
92014
Fisher-Legendre (FishLeg) optimization of deep neural networks
JR Garcia, F Freddi, S Fotiadis, M Li, S Vakili, A Bernacchia, G Hennequin
ICLR 2023, The Eleventh International Conference on Learning Representations, 2022
82022
Disentangled Generative Models for Robust Prediction of System Dynamics
S Fotiadis, ML Valencia, S Hu, S Garasto, CD Cantwell, AA Bharath
ICML 2023, International Conference on Machine Learning, 2023
5*2023
REMuS-GNN: A Rotation-Equivariant Model for Simulating Continuum Dynamics
ML Valencia, S Fotiadis, AA Bharath, CD Cantwell
ICLR 2022 Workshop on Geometrical and Topological Representation Learning, 2022
5*2022
Image generation with shortest path diffusion
A Das, S Fotiadis, A Batra, F Nabiei, FT Liao, S Vakili, D Shiu, ...
International Conference on Machine Learning (ICML) 2023, 2023
42023
Score Normalization for a Faster Diffusion Exponential Integrator Sampler
G Xia, D Danier, A Das, S Fotiadis, F Nabiei, U Sengupta, A Bernacchia
NeurIPS Diffusion Workshop, 2023
2023
Disentangling ODE parameters from dynamics in VAEs
S Fotiadis, M Lino, C Cantwell, A Bharath
ICML 2021 Workshop on Semi-Supervised Learning, 2021
2021
A UGV Navigation System for Large Outdoor Environments Including Virtual Obstacles for No-Go Zones
MA Garzón Oviedo, E Fotiadis, P Puente, A Alacid, A Barrientos Cruz
Car, 2013
2013
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