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20022026
most citedMean-field backward stochastic differential equations: A limit approach

322 citations

Showing 2025 · cs.LGShow all

5 papers · 2 filters

cs.LG2025

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…

cs.LG2025

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…

cs.LG2025

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…

cs.LG2025

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…

cs.LG2025

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…