Abdelhakim Benechehab

13 papers A* 2Journal 11

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	AdaPTS: Adapting Univariate Foundation Models to Probabilistic Multivariate Time Series Forecasting. ICML Abdelhakim Benechehab, Vasilii Feofanov, Giuseppe Paolo, Albert Thomas, Maurizio Filippone, Balázs Kégl
2025	J	`jnl`	AdaPTS: Adapting Univariate Foundation Models to Probabilistic Multivariate Time Series Forecasting. CoRR Abdelhakim Benechehab, Vasilii Feofanov, Giuseppe Paolo, Albert Thomas, Maurizio Filippone, Balázs Kégl
2025	J	`jnl`	From Data to Rewards: a Bilevel Optimization Perspective on Maximum Likelihood Estimation. CoRR Abdelhakim Benechehab, Gabriel Singer, Corentin Léger, Youssef Attia El Hili, Giuseppe Paolo, Albert Thomas, Maurizio Filippone, Balázs Kégl
2025	J	`jnl`	LLMs as In-Context Meta-Learners for Model and Hyperparameter Selection. CoRR Youssef Attia El Hili, Albert Thomas, Malik Tiomoko, Abdelhakim Benechehab, Corentin Léger, Corinne Ancourt, Balázs Kégl
2025	J	`jnl`	TAG: A Decentralized Framework for Multi-Agent Hierarchical Reinforcement Learning. CoRR Giuseppe Paolo, Abdelhakim Benechehab, Hamza Cherkaoui, Albert Thomas, Balázs Kégl
2025	A*	`conf`	Zero-shot Model-based Reinforcement Learning using Large Language Models. ICLR Abdelhakim Benechehab, Youssef Attia El Hili, Ambroise Odonnat, Oussama Zekri, Albert Thomas, Giuseppe Paolo, Maurizio Filippone, Ievgen Redko, Balázs Kégl
2024	J	`jnl`	A Multi-step Loss Function for Robust Learning of the Dynamics in Model-based Reinforcement Learning. CoRR Abdelhakim Benechehab, Albert Thomas, Giuseppe Paolo, Maurizio Filippone, Balázs Kégl
2024	J	`jnl`	Can LLMs predict the convergence of Stochastic Gradient Descent? CoRR Oussama Zekri, Abdelhakim Benechehab, Ievgen Redko
2024	J	`jnl`	Deep autoregressive density nets vs neural ensembles for model-based offline reinforcement learning. CoRR Abdelhakim Benechehab, Albert Thomas, Balázs Kégl
2024	J	`jnl`	Large Language Models Orchestrating Structured Reasoning Achieve Kaggle Grandmaster Level. CoRR Antoine Grosnit, Alexandre Maraval, James Doran, Giuseppe Paolo, Albert Thomas, Refinath Shahul Hameed Nabeezath Beevi, Jonas Gonzalez, Khyati Khandelwal, Ignacio Iacobacci, Abdelhakim Benechehab, Hamza Cherkaoui, Youssef Attia El Hili, Kun Shao, Jianye Hao, Jun Yao, Balázs Kégl, Haitham Bou-Ammar, Jun Wang
2024	J	`jnl`	Large Language Models as Markov Chains. CoRR Oussama Zekri, Ambroise Odonnat, Abdelhakim Benechehab, Linus Bleistein, Nicolas Boullé, Ievgen Redko
2024	J	`jnl`	Zero-shot Model-based Reinforcement Learning using Large Language Models. CoRR Abdelhakim Benechehab, Youssef Attia El Hili, Ambroise Odonnat, Oussama Zekri, Albert Thomas, Giuseppe Paolo, Maurizio Filippone, Ievgen Redko, Balázs Kégl
2023	J	`jnl`	Multi-timestep models for Model-based Reinforcement Learning. CoRR Abdelhakim Benechehab, Giuseppe Paolo, Albert Thomas, Maurizio Filippone, Balázs Kégl