‪Nadhir Hassen‬ - ‪Google Scholar‬

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Nadhir Hassen

Nadhir Hassen

University of Montreal

Verified email at mila.quebec - Homepage

Deep Learning Generative Model Graphical Neural Network Bayesian optimization


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WOODS: Benchmarks for out-of-distribution generalization in time series JC Gagnon-Audet, K Ahuja, MJ Darvishi-Bayazi, P Mousavi, G Dumas, ... arXiv preprint arXiv:2203.09978, 2022	26	2022
Gflowout: Dropout with generative flow networks D Liu, M Jain, BFP Dossou, Q Shen, S Lahlou, A Goyal, N Malkin, ... International Conference on Machine Learning, 21715-21729, 2023	11	2023
Approximate bayesian optimisation for neural networks N Hassen, I Rish arXiv preprint arXiv:2108.12461, 2021	1	2021
Approximate Inference in Bayesian Neural Networks N Hassen Ecole Polytechnique, Montreal (Canada), 2021		2021
Improved Deep Learning Workflows Through Hyperparameter Optimization with Oríon X Bouthillier

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