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Thomas Jiralerspong
Thomas Jiralerspong
M. Sc. - Computer Science (AI option) - Mila/Université de Montréal
Verified email at mail.mcgill.ca - Homepage
Title
Cited by
Cited by
Year
Towards safe mechanical ventilation treatment using deep offline reinforcement learning
F Kondrup*, T Jiralerspong*, E Lau*, N de Lara, J Shkrob, MD Tran, ...
Proceedings of the AAAI Conference on Artificial Intelligence 37 (13), 15696 …, 2023
252023
Efficient Causal Graph Discovery Using Large Language Models
T Jiralerspong, X Chen, Y More, V Shah, Y Bengio
arXiv preprint arXiv:2402.01207, 2024
172024
A Comparison of Classical and Deep Reinforcement Learning Methods for HVAC Control
M Wang, J Willes, T Jiralerspong, M Moezzi
The 20th IEEE International Conference on Ubiquitous Intelligence and …, 2023
72023
Delta-AI: Local objectives for amortized inference in sparse graphical models
JP Falet, HB Lee, N Malkin, C Sun, D Secrieru, T Jiralerspong, D Zhang, ...
arXiv preprint arXiv:2310.02423, 2023
32023
Expressivity of Neural Networks with Random Weights and Learned Biases
E Williams, AHW Ryoo, T Jiralerspong, A Payeur, MG Perich, ...
arXiv preprint arXiv:2407.00957, 2024
22024
Contrastive Retrospection: honing in on critical steps for rapid learning and generalization in RL
C Sun, W Yang, T Jiralerspong, D Malenfant, B Alsbury-Nealy, Y Bengio, ...
Advances in Neural Information Processing Systems 36, 2024
22024
Personalization of Mechanical Ventilation Treatment using Deep Conservative Reinforcement Learning
F Kondrup, T Jiralerspong, E Lau, N de Lara, J Shkrob, MD Tran, S Basu
University of Tronto, 2021
12021
General Causal Imputation via Synthetic Interventions
M Jiralerspong, T Jiralerspong, V Shah, D Sridhar, G Gidel
arXiv preprint arXiv:2410.20647, 2024
2024
A Complexity-Based Theory of Compositionality
E Elmoznino, T Jiralerspong, Y Bengio, G Lajoie
arXiv preprint arXiv:2410.14817, 2024
2024
Geometric Signatures of Compositionality Across a Language Model's Lifetime
JH Lee, T Jiralerspong, L Yu, Y Bengio, E Cheng
arXiv preprint arXiv:2410.01444, 2024
2024
Forecaster: Towards Temporally Abstract Tree-Search Planning from Pixels
T Jiralerspong*, F Kondrup*, D Precup, K Khetarpal
Thirty-seventh Conference on Neural Information Processing Systems …, 2023
2023
Network Analysis of the iNaturalist Citizen Science Community
YL Liu*, T Jiralerspong*
arXiv preprint arXiv:2310.10693, 2022
2022
Deep Conservative Reinforcement Learning for Personalization of Mechanical Ventilation Treatment
F Kondrup*, T Jiralerspong*, E Lau*, N De Lara, J Shkrob, M Tran, ...
2022
The Expressivity of Random Neural Networks with Learned Inputs
E Williams, AHW Ryoo, T Jiralerspong, MG Perich, L Mazzucato, G Lajoie
Modelling the Evolution of Arctic Sea Ice Extent
XY Fan*, T Jiralerspong*, KY Zhu*, C Genest, B Nasri
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