Yannig Goude - RankMe

33 papers A* 3C 1Journal 26Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Cascaded Transfer: Learning Many Tasks under Budget Constraints. CoRR Eloi Campagne, Yvenn Amara-Ouali, Yannig Goude, Mathilde Mougeot, Argyris Kalogeratos
2026	J	`jnl`	SerpentFlow: Generative Unpaired Domain Alignment via Shared-Structure Decomposition. CoRR Julie Keisler, Anastase Alexandre Charantonis, Yannig Goude, Boutheina Oueslati, Claire Monteleoni
2025	J	`jnl`	Achieving Skilled and Reliable Daily Probabilistic Forecasts of Wind Power at Subseasonal-to-Seasonal Timescales over France. CoRR Eloi Lindas, Yannig Goude, Philippe Ciais
2025	J	`jnl`	Forecasting time series with constraints. CoRR Nathan Doumèche, Francis R. Bach, Éloi Bedek, Gérard Biau, Claire Boyer, Yannig Goude
2025	J	`jnl`	Plugging Attention into Power Grids: Towards Transparent Forecasting. CoRR Eloi Campagne, Itai Zehavi, Yvenn Amara-Ouali, Yannig Goude, Argyris Kalogeratos
2025	J	`jnl`	Towards Accurate Forecasting of Renewable Energy : Building Datasets and Benchmarking Machine Learning Models for Solar and Wind Power in France. CoRR Eloi Lindas, Yannig Goude, Philippe Ciais
2024	C	`conf`	Adaptive Forecasting of Extreme Electricity Load. ISMIS Omar Himych, Amaury Durand, Yannig Goude
2024	J	`jnl`	Boosting diversity in regression ensembles. Stat. Anal. Data Min. Mathias Bourel, Jairo Cugliari, Yannig Goude, Jean-Michel Poggi
2024	J	`jnl`	Conformal Prediction for Hierarchical Data. CoRR Guillaume Principato, Yvenn Amara-Ouali, Yannig Goude, Bachir Hamrouche, Jean-Michel Poggi, Gilles Stoltz
2024	J	`jnl`	Forecasting Electric Vehicle Charging Station Occupancy: Smarter Mobility Data Challenge. J. Data-centric Mach. Learn. Res. Yvenn Amara-Ouali, Yannig Goude, Nathan Doumèche, Pascal Veyret, Alexis Thomas, Daniel Hebenstreit, Thomas Wedenig, Arthur Satouf, Aymeric Jan, Yannick Deleuze, Paul Berhaut, Sébastien Treguer
2024	J	`jnl`	Leveraging Graph Neural Networks to Forecast Electricity Consumption. CoRR Eloi Campagne, Yvenn Amara-Ouali, Yannig Goude, Argyris Kalogeratos
2024	J	`jnl`	Textual data for electricity load forecasting. Qual. Reliab. Eng. Int. David Obst, Sandra Claudel, Jairo Cugliari, Badih Ghattas, Yannig Goude, Georges Oppenheim
2023	J	`jnl`	Forecasting Electric Vehicle Charging Station Occupancy: Smarter Mobility Data Challenge. CoRR Yvenn Amara-Ouali, Yannig Goude, Nathan Doumèche, Pascal Veyret, Alexis Thomas, Daniel Hebenstreit, Thomas Wedenig, Arthur Satouf, Aymeric Jan, Yannick Deleuze, Paul Berhaut, Sébastien Treguer, Tiphaine Phe-Neau
2022	—	`conf`	A benchmark of electric vehicle load and occupancy models for day-ahead forecasting on open charging session data. e-Energy Yvenn Amara-Ouali, Yannig Goude, Bachir Hamrouche, Matthew Bishara
2022	A*	`conf`	Adaptive Conformal Predictions for Time Series. ICML Margaux Zaffran, Olivier Féron, Yannig Goude, Julie Josse, Aymeric Dieuleveut
2022	J	`jnl`	Adaptive Conformal Predictions for Time Series. CoRR Margaux Zaffran, Aymeric Dieuleveut, Olivier Féron, Yannig Goude, Julie Josse
2022	J	`jnl`	Improved linear regression prediction by transfer learning. Comput. Stat. Data Anal. David Obst, Badih Ghattas, Sandra Claudel, Jairo Cugliari, Yannig Goude, Georges Oppenheim
2021	—	`conf`	A review of electric vehicle charging session open data: Poster. e-Energy Yvenn Amara-Ouali, Pascal Massart, Jean-Michel Poggi, Yannig Goude, Hui Yan
2021	J	`jnl`	Daily peak electrical load forecasting with a multi-resolution approach. CoRR Yvenn Amara-Ouali, Matteo Fasiolo, Yannig Goude, Hui Yan
2021	J	`jnl`	Transfer Learning for Linear Regression: a Statistical Test of Gain. CoRR David Obst, Badih Ghattas, Jairo Cugliari, Georges Oppenheim, Sandra Claudel, Yannig Goude
2021	J	`jnl`	qgam: Bayesian Nonparametric Quantile Regression Modeling in R. J. Stat. Softw. Matteo Fasiolo, Simon N. Wood, Margaux Zaffran, Raphaël Nedellec, Yannig Goude
2020	J	`jnl`	Adaptive Methods for Short-Term Electricity Load Forecasting During COVID-19 Lockdown in France. CoRR David Obst, Joseph De Vilmarest, Yannig Goude
2020	J	`jnl`	Aggregation of Multi-Scale Experts for Bottom-Up Load Forecasting. IEEE Trans. Smart Grid Benjamin Goehry, Yannig Goude, Pascal Massart, Jean-Michel Poggi
2020	J	`jnl`	Kalman Recursions Aggregated Online. CoRR Eric Adjakossa, Yannig Goude, Olivier Wintenberger
2019	J	`jnl`	Nonnegative Matrix Factorization with Side Information for Time Series Recovery and Prediction. IEEE Trans. Knowl. Data Eng. Jiali Mei, Yohann de Castro, Yannig Goude, Jean-Marc Azaïs, Georges Hébrail
2019	A*	`conf`	Target Tracking for Contextual Bandits: Application to Demand Side Management. ICML Margaux Brégère, Pierre Gaillard, Yannig Goude, Gilles Stoltz
2019	J	`jnl`	Target Tracking for Contextual Bandits: Application to Demand Side Management. CoRR Margaux Brégère, Pierre Gaillard, Yannig Goude, Gilles Stoltz
2019	J	`jnl`	Textual Data for Time Series Forecasting. CoRR David Obst, Badih Ghattas, Sandra Claudel, Jairo Cugliari, Yannig Goude, Georges Oppenheim
2017	A*	`conf`	Nonnegative Matrix Factorization for Time Series Recovery From a Few Temporal Aggregates. ICML Jiali Mei, Yohann de Castro, Yannig Goude, Georges Hébrail
2014	J	`jnl`	Local Short and Middle Term Electricity Load Forecasting With Semi-Parametric Additive Models. IEEE Trans. Smart Grid Yannig Goude, Raphaël Nedellec, Nicolas Kong
2013	J	`jnl`	Forecasting electricity consumption by aggregating specialized experts - A review of the sequential aggregation of specialized experts, with an application to Slovakian and French country-wide one-day-ahead (half-)hourly predictions. Mach. Learn. Marie Devaine, Pierre Gaillard, Yannig Goude, Gilles Stoltz
2012	—	`conf`	Adaptive Learning of Smoothing Functions: Application to Electricity Load Forecasting. NIPS Amadou Ba, Mathieu Sinn, Yannig Goude, Pascal Pompey
2012	J	`jnl`	Forecasting electricity consumption by aggregating specialized experts CoRR Marie Devaine, Pierre Gaillard, Yannig Goude, Gilles Stoltz