| Robust connectivity maintenance for fallible robots J Panerati, M Minelli, C Ghedini, L Meyer, M Kaufmann, L Sabattini, ... Autonomous Robots 43, 769-787, 2019 | 31 | 2019 |
| A DEEP LEARNING ARCHITECTURE FOR BATCH-MODE FULLY AUTOMATED FIELD BOUNDARY DETECTION L Meyer, F Lemarchand, P Sidiropoulos International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2020 | 10 | 2020 |
| Training deep surrogate models with large scale online learning LT Meyer, M Schouler, RA Caulk, A Ribes, B Raffin Proceedings of the 40th International Conference on Machine Learning 202 …, 2023 | 2 | 2023 |
| Melissa: coordinating large-scale ensemble runs for deep learning and sensitivity analyses M Schouler, RA Caulk, L Meyer, T Terraz, C Conrads, S Friedemann, ... Journal of Open Source Software 8 (86), 5291, 2023 | 2 | 2023 |
| High Throughput Training of Deep Surrogates from Large Ensemble Runs LT Meyer, M Schouler, RA Caulk, A Ribés, B Raffin Proceedings of the International Conference for High Performance Computing …, 2023 | 1 | 2023 |
| Simulation-Based Parallel Training L Meyer, A Ribés, B Raffin NeurIPS 2022 AI for Science Workshop, 2022 | 1 | 2022 |
| Deep Surrogate for Direct Time Fluid Dynamics L Meyer, L Pottier, A Ribes, B Raffin Fourth Workshop on Machine Learning and the Physical Sciences (NeurIPS 2021), 2021 | 1 | 2021 |
| A hybrid Reduced Basis and Machine-Learning algorithm for building Surrogate Models: a first application to electromagnetism A Ribés, R Persicot, L Meyer, JP Ducreux Workshop on Machine Learning and the Physical Sciences workshop at NeurIPS …, 2022 | | 2022 |
Alejandro RibesEDF R&DDirección de correo verificada de edf.fr
