output
20042026
most citedA regression-based Monte Carlo method to solve backward stochastic differential equations

425 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing 2025 · cs.LGShow all

8 papers · 2 filters

cs.LG2025

Achieving Skilled and Reliable Daily Probabilistic Forecasts of Wind Power at Subseasonal-to-Seasonal Timescales over France

Eloi Lindas, Yannig Goude, Philippe Ciais

In a growing renewable based energy system, accurate and reliable wind power forecasts are crucial for grid stability, balancing supply and demand and market risk management. Even…

cs.LG2025

MoTM: Towards a Foundation Model for Time Series Imputation based on Continuous Modeling

Etienne Le Naour, Tahar Nabil, Ghislain Agoua

Recent years have witnessed a growing interest for time series foundation models, with a strong emphasis on the forecasting task. Yet, the crucial task of out-of-domain imputation…

cs.LG2025★ 2 cited

DeviceScope: An Interactive App to Detect and Localize Appliance Patterns in Electricity Consumption Time Series

Adrien Petralia, Paul Boniol, Philippe Charpentier +1

In recent years, electricity suppliers have installed millions of smart meters worldwide to improve the management of the smart grid system. These meters collect a large amount of…

cs.LG2025★ 1 cited

Few Labels are all you need: A Weakly Supervised Framework for Appliance Localization in Smart-Meter Series

Adrien Petralia, Paul Boniol, Philippe Charpentier +1

Improving smart grid system management is crucial in the fight against climate change, and enabling consumers to play an active role in this effort is a significant challenge for e…

cs.LG2025★ 12 cited

NILMFormer: Non-Intrusive Load Monitoring that Accounts for Non-Stationarity

Adrien Petralia, Philippe Charpentier, Youssef Kadhi +1

Millions of smart meters have been deployed worldwide, collecting the total power consumed by individual households. Based on these data, electricity suppliers offer their clients…

cs.LG2025

Online Episodic Convex Reinforcement Learning

Bianca Marin Moreno, Khaled Eldowa, Pierre Gaillard +2

We study online learning in episodic finite-horizon Markov decision processes (MDPs) with convex objective functions, known as the concave utility reinforcement learning (CURL) pro…

cs.LG2025

A synthetic dataset of French electric load curves with temperature conditioning

Tahar Nabil, Ghislain Agoua, Pierre Cauchois +2

The undergoing energy transition is causing behavioral changes in electricity use, e.g. with self-consumption of local generation, or flexibility services for demand control. To be…

cs.LG2025

Quantum Reservoir Computing and Risk Bounds

Naomi Mona Chmielewski, Nina Amini, Joseph Mikael

We propose a way to bound the generalisation errors of several classes of quantum reservoirs using the Rademacher complexity. We give specific, parameter-dependent bounds for two p…