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20232025
most citedA Multi-step Loss Function for Robust Learning of the Dynamics in Model-based Reinforcement Learning

2 citations · 3 across the 9 of their papers we have counts for

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stat.ML2025

From Data to Rewards: a Bilevel Optimization Perspective on Maximum Likelihood Estimation

Abdelhakim Benechehab, Gabriel Singer, Corentin Léger +5

Generative models form the backbone of modern machine learning, underpinning state-of-the-art systems in text, vision, and multimodal applications. While Maximum Likelihood Estimat…

stat.ML2025

AdaPTS: Adapting Univariate Foundation Models to Probabilistic Multivariate Time Series Forecasting

Abdelhakim Benechehab, Vasilii Feofanov, Giuseppe Paolo +3

Pre-trained foundation models (FMs) have shown exceptional performance in univariate time series forecasting tasks. However, several practical challenges persist, including managin…