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Alexandre Lacoste
Alexandre Lacoste
Staff Research Scientist, ServiceNow Research
Verified email at servicenow.com
Title
Cited by
Year
WorkArena: How Capable Are Web Agents at Solving Common Knowledge Work Tasks?
A Drouin, M Gasse, M Caccia, IH Laradji, M Del Verme, T Marty, ...
arXiv preprint arXiv:2403.07718, 2024
2024
Geo-bench: Toward foundation models for earth monitoring
A Lacoste, N Lehmann, P Rodriguez, E Sherwin, H Kerner, B Lütjens, ...
Advances in Neural Information Processing Systems 36, 2024
142024
Nonparametric Partial Disentanglement via Mechanism Sparsity: Sparse Actions, Interventions and Sparse Temporal Dependencies
S Lachapelle, PR López, Y Sharma, K Everett, RL Priol, A Lacoste, ...
arXiv preprint arXiv:2401.04890, 2024
32024
Capture the Flag: Uncovering Data Insights with Large Language Models
I Laradji, P Taslakian, S Rajeswar, V Zantedeschi, A Lacoste, ...
arXiv preprint arXiv:2312.13876, 2023
2023
Multiple task transfer learning
A Lacoste, B Oreshkin
US Patent 11,829,869, 2023
2023
The Unsolved Challenges of LLMs as Generalist Web Agents: A Case Study
R Assouel, T Marty, M Caccia, IH Laradji, A Drouin, S Rajeswar, ...
NeurIPS 2023 Foundation Models for Decision Making Workshop, 2023
2023
Mastering the unsupervised reinforcement learning benchmark from pixels
S Rajeswar, P Mazzaglia, T Verbelen, A Piché, B Dhoedt, A Courville, ...
International Conference on Machine Learning, 28598-28617, 2023
72023
From IID to the Independent Mechanisms assumption in continual learning
O Ostapenko, P Rodríguez, A Lacoste, L Charlin
AAAI Bridge Program on Continual Causality, 25-29, 2023
2023
Using Typed Data for Causal Fault Discovery in Networks
A Drouin, A Lacoste, P Taslakian, P Brouillard, S Lachapelle
US Patent App. 17/466,376, 2023
2023
Explaining Visual Counterfactual Explainers
D Velazquez, P Rodriguez, A Lacoste, IH Laradji, X Roca, J Gonzàlez
Transactions on Machine Learning Research, 2023
2023
Choreographer: Learning and adapting skills in imagination
P Mazzaglia, T Verbelen, B Dhoedt, A Lacoste, S Rajeswar
arXiv preprint arXiv:2211.13350, 2022
102022
A General Purpose Neural Architecture for Geospatial Systems
N Rahaman, M Weiss, F Träuble, F Locatello, A Lacoste, Y Bengio, C Pal, ...
arXiv preprint arXiv:2211.02348, 2022
22022
Attention for compositional modularity
O Ostapenko, P Rodriguez, A Lacoste, L Charlin
NeurIPS'22 Workshop on All Things Attention: Bridging Different Perspectives …, 2022
32022
Evaluating Counterfactual Explainers
D Velazquez, P Rodriguez, A Lacoste, IH Laradji, X Roca, J Gonzàlez
2022
Unsupervised model-based pre-training for data-efficient control from pixels
S Rajeswar, P Mazzaglia, T Verbelen, A Piché, B Dhoedt, A Courville, ...
42022
Disentanglement via mechanism sparsity regularization: A new principle for nonlinear ICA
S Lachapelle, P Rodriguez, Y Sharma, KE Everett, R Le Priol, A Lacoste, ...
Conference on Causal Learning and Reasoning, 428-484, 2022
1002022
Typing assumptions improve identification in causal discovery
P Brouillard, P Taslakian, A Lacoste, S Lachapelle, A Drouin
Conference on Causal Learning and Reasoning, 162-177, 2022
72022
Method and system for meaningful counterfactual explanations
PR LOPEZ, M Caccia, L Zamparo, I Laradji, A Lacoste, DV BERMUDEZ
US Patent App. 17/449,872, 2022
82022
Tackling climate change with machine learning
D Rolnick, PL Donti, LH Kaack, K Kochanski, A Lacoste, K Sankaran, ...
ACM Computing Surveys (CSUR) 55 (2), 1-96, 2022
9062022
Unsupervised model-based pre-training for data-efficient reinforcement learning from pixels
S Rajeswar, P Mazzaglia, T Verbelen, A Piché, B Dhoedt, A Courville, ...
ICML2022: the 39th International Conference on Machine Learning, 2022
62022
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