Portrait de Nadhir Hassen n'est pas disponible

Nadhir Hassen

Stagiaire de recherche - Université de Montréal
Superviseur⋅e principal⋅e

Publications

Lag-Llama: Towards Foundation Models for Time Series Forecasting
Kashif Rasul
Arjun Ashok
Andrew Robert Williams
Arian Khorasani
George Adamopoulos
Rishika Bhagwatkar
Marin Biloš
Hena Ghonia
Nadhir Hassen
Anderson Schneider
Sahil Garg
Yuriy Nevmyvaka
Aiming to build foundation models for time-series forecasting and study their scaling behavior, we present here our work-in-progress on Lag-… (voir plus)Llama, a general-purpose univariate probabilistic time-series forecasting model trained on a large collection of time-series data. The model shows good zero-shot prediction capabilities on unseen "out-of-distribution" time-series datasets, outperforming supervised baselines. We use smoothly broken power-laws to fit and predict model scaling behavior. The open source code is made available at https://github.com/kashif/pytorch-transformer-ts.
Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting
Kashif Rasul
Arjun Ashok
Andrew Robert Williams
Arian Khorasani
George Adamopoulos
Rishika Bhagwatkar
Marin Bilovs
Hena Ghonia
Nadhir Hassen
Anderson Schneider
Sahil Garg
Yuriy Nevmyvaka
GFlowOut: Dropout with Generative Flow Networks
Dianbo Liu
Moksh J. Jain
Bonaventure F. P. Dossou
Qianli Shen
Salem Lahlou
Anirudh Goyal
Nikolay Malkin
Chris Emezue
Dinghuai Zhang
Nadhir Hassen
Xu Ji
Kenji Kawaguchi
GFlowOut: Dropout with Generative Flow Networks
Dianbo Liu
Moksh J. Jain
Bonaventure F. P. Dossou
Qianli Shen
Salem Lahlou
Anirudh Goyal
Nikolay Malkin
Chris Emezue
Dinghuai Zhang
Nadhir Hassen
Xu Ji
Kenji Kawaguchi
Approximate Bayesian Optimisation for Neural Networks
Nadhir Hassen