322 citations
- Centre National de la Recherche ScientifiqueFR85 papers
- IMT AtlantiqueFR70 papers
- Laboratoire de Mathématiques de Bretagne AtlantiqueFR67 papers
- Laboratoire des Sciences et Techniques de l’Information de la Communication et de la ConnaissanceFR63 papers
- Université de Bretagne SudFR58 papers
- InsermFR26 papers
- Laboratoire de Traitement de l'Information MédicaleFR21 papers
- Université Grenoble AlpesFR16 papers
- École nationale supérieure de techniques avancées BretagneFR15 papers
- Centre Hospitalier Régional Universitaire de BrestFR13 papers
- École nationale d'ingénieurs de BrestFR10 papers
- Shandong UniversityCN10 papers
26 papers · 1 filter
Towards fully differentiable neural ocean model with Veros
Etienne Meunier, Said Ouala, Hugo Frezat +2
We present a differentiable extension of the VEROS ocean model, enabling automatic differentiation through its dynamical core. We describe the key modifications required to make th…
Busemann Functions in the Wasserstein Space: Existence, Closed-Forms, and Applications to Slicing
Clément Bonet, Elsa Cazelles, Lucas Drumetz +1
The Busemann function has recently found much interest in a variety of geometric machine learning problems, as it naturally defines projections onto geodesic rays of Riemannian man…
RETENTION: Resource-Efficient Tree-Based Ensemble Model Acceleration with Content-Addressable Memory
Yi-Chun Liao, Chieh-Lin Tsai, Yuan-Hao Chang +3
Although deep learning has demonstrated remarkable capability in learning from unstructured data, modern tree-based ensemble models remain superior in extracting relevant informati…
Augmented Invertible Koopman Autoencoder for long-term time series forecasting
Anthony Frion, Lucas Drumetz, Mauro Dalla Mura +2
Following the introduction of Dynamic Mode Decomposition and its numerous extensions, many neural autoencoder-based implementations of the Koopman operator have recently been propo…
Land Surface Temperature Super-Resolution with a Scale-Invariance-Free Neural Approach: Application to MODIS
Romuald Ait-Bachir, Carlos Granero-Belinchon, Aurélie Michel +3
Due to the trade-off between the temporal and spatial resolution of thermal spaceborne sensors, super-resolution methods have been developed to provide fine-scale Land SurfaceTempe…
Generative Pretrained Embedding and Hierarchical Irregular Time Series Representation for Daily Living Activity Recognition
Damien Bouchabou, Sao Mai Nguyen
Within the evolving landscape of smart homes, the precise recognition of daily living activities using ambient sensor data stands paramount. This paper not only aims to bolster exi…