| 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 | 62 | 2013 |
| 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 | 43 | 2020 |
| Simulating continuum mechanics with multi-scale graph neural networks M Lino, C Cantwell, AA Bharath, S Fotiadis arXiv:2106.04900, 2021 | 42 | 2021 |
| 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 | 41 | 2022 |
| 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 | 20 | 2020 |
| 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 | 17 | 2023 |
| 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 | 14 | 2015 |
| 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 | 12 | 2022 |
| 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 | 10 | 2019 |
| 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 | 9 | 2014 |
| 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 | 8 | 2022 |
| 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 | 4 | 2023 |
| 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 |
Anil Anthony BharathDept of Bioengineering, Imperial College在 imperial.ac.uk 的电子邮件经过验证
