Emmanuel de Bzenac
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
9
Venues
3
Active years
2018–2025
Best venue rank
A*
Where they publish
Papers
9 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICLR | Learning a Neural Solver for Parametric PDEs to Enhance Physics-Informed Methods. | Lise Le Boudec, Emmanuel de Bzenac, Louis Serrano, Ramon Daniel Regueiro-Espino, Yuan Yin, Patrick Gallinari |
| 2024 | ICLR | An operator preconditioning perspective on training in physics-informed machine learning. | Tim De Ryck, Florent Bonnet, Siddhartha Mishra, Emmanuel de Bzenac |
| 2024 | ICML | Beyond Regular Grids: Fourier-Based Neural Operators on Arbitrary Domains. | Levi E. Lingsch, Mike Yan Michelis, Emmanuel de Bzenac, Sirani M. Perera, Robert K. Katzschmann, Siddhartha Mishra |
| 2022 | ICLR | Mapping conditional distributions for domain adaptation under generalized target shift. | Matthieu Kirchmeyer, Alain Rakotomamonjy, Emmanuel de Bzenac, Patrick Gallinari |
| 2022 | ICML | A Neural Tangent Kernel Perspective of GANs. | Jean-Yves Franceschi, Emmanuel de Bzenac, Ibrahim Ayed, Mickal Chen, Sylvain Lamprier, Patrick Gallinari |
| 2021 | ICLR | Augmenting Physical Models with Deep Networks for Complex Dynamics Forecasting. | Yuan Yin, Vincent Le Guen, Jrmie Don, Emmanuel de Bzenac, Ibrahim Ayed, Nicolas Thome, Patrick Gallinari |
| 2020 | ICASSP | Learning the Spatio-Temporal Dynamics of Physical Processes from Partial Observations. | Ibrahim Ayed, Emmanuel de Bzenac, Arthur Pajot, Patrick Gallinari |
| 2019 | ICLR | Unsupervised Adversarial Image Reconstruction. | Arthur Pajot, Emmanuel de Bzenac, Patrick Gallinari |
| 2018 | ICLR | Deep Learning for Physical Processes: Incorporating Prior Scientific Knowledge. | Emmanuel de Bzenac, Arthur Pajot, Patrick Gallinari |