Alexandre Drouin

61 papers A* 13Journal 43Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CUBE: A Standard for Unifying Agent Benchmarks. CoRR Alexandre Lacoste, Nicolas Gontier, Oleh Shliazhko, Aman Jaiswal, Kusha Sareen, Shailesh Nanisetty, Joan Cabezas, Manuel Del Verme, Omar G. Younis, Simone Baratta, Matteo Avalle, Imene Kerboua, Xing Han Lù, Elron Bandel, Michal Shmueli-Scheuer, Asaf Yehudai, Leshem Choshen, Jonathan Lebensold, Sean Hughes, Massimo Caccia, Alexandre Drouin, Siva Reddy, Tao Yu, Yu Su, Graham Neubig, Dawn Song
2026	J	`jnl`	Overcoming the Modality Gap in Context-Aided Forecasting. CoRR Vincent Zhihao Zheng, Étienne Marcotte, Arjun Ashok, Andrew Robert Williams, Lijun Sun, Alexandre Drouin, Valentina Zantedeschi
2025	J	`jnl`	Beyond Naïve Prompting: Strategies for Improved Zero-shot Context-aided Forecasting with LLMs. CoRR Arjun Ashok, Andrew Robert Williams, Vincent Zhihao Zheng, Irina Rish, Nicolas Chapados, Étienne Marcotte, Valentina Zantedeschi, Alexandre Drouin
2025	A*	`conf`	Context is Key: A Benchmark for Forecasting with Essential Textual Information. ICML Andrew Robert Williams, Arjun Ashok, Étienne Marcotte, Valentina Zantedeschi, Jithendaraa Subramanian, Roland Riachi, James Requeima, Alexandre Lacoste, Irina Rish, Nicolas Chapados, Alexandre Drouin
2025	J	`jnl`	DRBench: A Realistic Benchmark for Enterprise Deep Research. CoRR Amirhossein Abaskohi, Tianyi Chen, Miguel Muñoz-Mármol, Curtis Fox, Amrutha Varshini Ramesh, Étienne Marcotte, Xing Han Lù, Nicolas Chapados, Spandana Gella, Christopher Pal, Alexandre Drouin, Issam H. Laradji
2025	J	`jnl`	DoomArena: A framework for Testing AI Agents Against Evolving Security Threats. CoRR Léo Boisvert, Mihir Bansal, Chandra Kiran Reddy Evuru, Gabriel Huang, Abhay Puri, Avinandan Bose, Maryam Fazel, Quentin Cappart, Jason Stanley, Alexandre Lacoste, Alexandre Drouin, Krishnamurthy Dvijotham
2025	A*	`conf`	Generalization Bounds via Meta-Learned Model Representations: PAC-Bayes and Sample Compression Hypernetworks. ICML Benjamin Leblanc, Mathieu Bazinet, Nathaniel D'Amours, Alexandre Drouin, Pascal Germain
2025	J	`jnl`	How to Train Your LLM Web Agent: A Statistical Diagnosis. CoRR Dheeraj Vattikonda, Santhoshi Ravichandran, Emiliano Penaloza, Hadi Nekoei, Megh Thakkar, Thibault Le Sellier de Chezelles, Nicolas Gontier, Miguel Muñoz-Mármol, Sahar Omidi Shayegan, Stefania Raimondo, Xue Liu, Alexandre Drouin, Laurent Charlin, Alexandre Piché, Alexandre Lacoste, Massimo Caccia
2025	A*	`conf`	InsightBench: Evaluating Business Analytics Agents Through Multi-Step Insight Generation. ICLR Gaurav Sahu, Abhay Puri, Juan A. Rodríguez, Amirhossein Abaskohi, Mohammad Chegini, Alexandre Drouin, Perouz Taslakian, Valentina Zantedeschi, Alexandre Lacoste, David Vázquez, Nicolas Chapados, Christopher Pal, Sai Rajeswar, Issam H. Laradji
2025	J	`jnl`	Just-in-time Episodic Feedback Hinter: Leveraging Offline Knowledge to Improve LLM Agents Adaptation. CoRR Hadi Nekoei, Aman Jaiswal, Patrice Béchard, Oleh Shliazhko, Orlando Marquez Ayala, Mathieu Reymond, Massimo Caccia, Alexandre Drouin, Sarath Chandar, Alexandre Lacoste
2025	J	`jnl`	Learning to Defer for Causal Discovery with Imperfect Experts. CoRR Oscar Clivio, Divyat Mahajan, Perouz Taslakian, Sara Magliacane, Ioannis Mitliagkas, Valentina Zantedeschi, Alexandre Drouin
2025	J	`jnl`	Malice in Agentland: Down the Rabbit Hole of Backdoors in the AI Supply Chain. CoRR Léo Boisvert, Abhay Puri, Chandra Kiran Reddy Evuru, Nicolas Chapados, Quentin Cappart, Alexandre Lacoste, Krishnamurthy Dj Dvijotham, Alexandre Drouin
2025	J	`jnl`	The BrowserGym Ecosystem for Web Agent Research. Trans. Mach. Learn. Res. Thibault Le Sellier de Chezelles, Maxime Gasse, Alexandre Lacoste, Massimo Caccia, Alexandre Drouin, Léo Boisvert, Megh Thakkar, Tom Marty, Rim Assouel, Sahar Omidi Shayegan, Lawrence Keunho Jang, Xing Han Lù, Ori Yoran, Dehan Kong, Frank F. Xu, Siva Reddy, Graham Neubig, Quentin Cappart, Russ Salakhutdinov, Nicolas Chapados
2025	—	`conf`	The Landscape of Causal Discovery Data: Grounding Causal Discovery in Real-World Applications. CLeaR Philippe Brouillard, Chandler Squires, Jonas Wahl, Konrad K, Karen Sachs, Alexandre Drouin, Dhanya Sridhar
2024	J	`jnl`	Causal Representation Learning in Temporal Data via Single-Parent Decoding. CoRR Philippe Brouillard, Sébastien Lachapelle, Julia Kaltenborn, Yaniv Gurwicz, Dhanya Sridhar, Alexandre Drouin, Peer Nowack, Jakob Runge, David Rolnick
2024	J	`jnl`	Context is Key: A Benchmark for Forecasting with Essential Textual Information. CoRR Andrew Robert Williams, Arjun Ashok, Étienne Marcotte, Valentina Zantedeschi, Jithendaraa Subramanian, Roland Riachi, James Requeima, Alexandre Lacoste, Irina Rish, Nicolas Chapados, Alexandre Drouin
2024	J	`jnl`	Evaluating Interventional Reasoning Capabilities of Large Language Models. CoRR Tejas Kasetty, Divyat Mahajan, Gintare Karolina Dziugaite, Alexandre Drouin, Dhanya Sridhar
2024	J	`jnl`	InsightBench: Evaluating Business Analytics Agents Through Multi-Step Insight Generation. CoRR Gaurav Sahu, Abhay Puri, Juan A. Rodríguez, Alexandre Drouin, Perouz Taslakian, Valentina Zantedeschi, Alexandre Lacoste, David Vázquez, Nicolas Chapados, Christopher Pal, Sai Rajeswar, Issam Hadj Laradji
2024	J	`jnl`	Sample Compression Hypernetworks: From Generalization Bounds to Meta-Learning. CoRR Benjamin Leblanc, Mathieu Bazinet, Nathaniel D'Amours, Alexandre Drouin, Pascal Germain
2024	A*	`conf`	TACTiS-2: Better, Faster, Simpler Attentional Copulas for Multivariate Time Series. ICLR Arjun Ashok, Étienne Marcotte, Valentina Zantedeschi, Nicolas Chapados, Alexandre Drouin
2024	J	`jnl`	The BrowserGym Ecosystem for Web Agent Research. CoRR Thibault Le Sellier de Chezelles, Maxime Gasse, Alexandre Drouin, Massimo Caccia, Léo Boisvert, Megh Thakkar, Tom Marty, Rim Assouel, Sahar Omidi Shayegan, Lawrence Keunho Jang, Xing Han Lù, Ori Yoran, Dehan Kong, Frank F. Xu, Siva Reddy, Quentin Cappart, Graham Neubig, Ruslan Salakhutdinov, Nicolas Chapados, Alexandre Lacoste
2024	J	`jnl`	The Landscape of Causal Discovery Data: Grounding Causal Discovery in Real-World Applications. CoRR Philippe Brouillard, Chandler Squires, Jonas Wahl, Konrad P. Kording, Karen Sachs, Alexandre Drouin, Dhanya Sridhar
2024	A*	`conf`	WorkArena++: Towards Compositional Planning and Reasoning-based Common Knowledge Work Tasks. NeurIPS Léo Boisvert, Megh Thakkar, Maxime Gasse, Massimo Caccia, Thibault Le Sellier de Chezelles, Quentin Cappart, Nicolas Chapados, Alexandre Lacoste, Alexandre Drouin
2024	J	`jnl`	WorkArena++: Towards Compositional Planning and Reasoning-based Common Knowledge Work Tasks. CoRR Léo Boisvert, Megh Thakkar, Maxime Gasse, Massimo Caccia, Thibault Le Sellier de Chezelles, Quentin Cappart, Nicolas Chapados, Alexandre Lacoste, Alexandre Drouin
2024	J	`jnl`	WorkArena: How Capable Are Web Agents at Solving Common Knowledge Work Tasks? CoRR Alexandre Drouin, Maxime Gasse, Massimo Caccia, Issam H. Laradji, Manuel Del Verme, Tom Marty, Léo Boisvert, Megh Thakkar, Quentin Cappart, David Vázquez, Nicolas Chapados, Alexandre Lacoste
2024	A*	`conf`	WorkArena: How Capable are Web Agents at Solving Common Knowledge Work Tasks? ICML Alexandre Drouin, Maxime Gasse, Massimo Caccia, Issam H. Laradji, Manuel Del Verme, Tom Marty, David Vázquez, Nicolas Chapados, Alexandre Lacoste
2023	J	`jnl`	Benchmarking Bayesian Causal Discovery Methods for Downstream Treatment Effect Estimation. CoRR Chris Chinenye Emezue, Alexandre Drouin, Tristan Deleu, Stefan Bauer, Yoshua Bengio
2023	J	`jnl`	Capture the Flag: Uncovering Data Insights with Large Language Models. CoRR Issam H. Laradji, Perouz Taslakian, Sai Rajeswar, Valentina Zantedeschi, Alexandre Lacoste, Nicolas Chapados, David Vázquez, Christopher Pal, Alexandre Drouin
2023	J	`jnl`	Causal Discovery with Language Models as Imperfect Experts. CoRR Stephanie Long, Alexandre Piché, Valentina Zantedeschi, Tibor Schuster, Alexandre Drouin
2023	A*	`conf`	GEO-Bench: Toward Foundation Models for Earth Monitoring. NeurIPS Alexandre Lacoste, Nils Lehmann, Pau Rodríguez, Evan D. Sherwin, Hannah Kerner, Björn Lütjens, Jeremy Irvin, David Dao, Hamed Alemohammad, Alexandre Drouin, Mehmet Gunturkun, Gabriel Huang, David Vázquez, Dava J. Newman, Yoshua Bengio, Stefano Ermon, Xiaoxiang Zhu
2023	J	`jnl`	GEO-Bench: Toward Foundation Models for Earth Monitoring. CoRR Alexandre Lacoste, Nils Lehmann, Pau Rodríguez, Evan David Sherwin, Hannah Kerner, Björn Lütjens, Jeremy Andrew Irvin, David Dao, Hamed Alemohammad, Alexandre Drouin, Mehmet Gunturkun, Gabriel Huang, David Vázquez, Dava J. Newman, Yoshua Bengio, Stefano Ermon, Xiao Xiang Zhu
2023	J	`jnl`	Invariant Causal Set Covering Machines. CoRR Thibaud Godon, Baptiste Bauvin, Pascal Germain, Jacques Corbeil, Alexandre Drouin
2023	J	`jnl`	Lag-Llama: Towards Foundation Models for Time Series Forecasting. CoRR Kashif Rasul, Arjun Ashok, Andrew Robert Williams, Arian Khorasani, George Adamopoulos, Rishika Bhagwatkar, Marin Bilos, Hena Ghonia, Nadhir Vincent Hassen, Anderson Schneider, Sahil Garg, Alexandre Drouin, Nicolas Chapados, Yuriy Nevmyvaka, Irina Rish
2023	A*	`conf`	Regions of Reliability in the Evaluation of Multivariate Probabilistic Forecasts. ICML Étienne Marcotte, Valentina Zantedeschi, Alexandre Drouin, Nicolas Chapados
2023	J	`jnl`	Regions of Reliability in the Evaluation of Multivariate Probabilistic Forecasts. CoRR Étienne Marcotte, Valentina Zantedeschi, Alexandre Drouin, Nicolas Chapados
2023	J	`jnl`	TACTiS-2: Better, Faster, Simpler Attentional Copulas for Multivariate Time Series. CoRR Arjun Ashok, Étienne Marcotte, Valentina Zantedeschi, Nicolas Chapados, Alexandre Drouin
2022	J	`jnl`	RandomSCM: interpretable ensembles of sparse classifiers tailored for omics data. CoRR Thibaud Godon, Pier-Luc Plante, Baptiste Bauvin, Elina Francovic-Fontaine, Alexandre Drouin, Jacques Corbeil
2022	A*	`conf`	TACTiS: Transformer-Attentional Copulas for Time Series. ICML Alexandre Drouin, Étienne Marcotte, Nicolas Chapados
2022	J	`jnl`	TACTiS: Transformer-Attentional Copulas for Time Series. CoRR Alexandre Drouin, Étienne Marcotte, Nicolas Chapados
2022	—	`conf`	Typing assumptions improve identification in causal discovery. CLeaR Philippe Brouillard, Perouz Taslakian, Alexandre Lacoste, Sébastien Lachapelle, Alexandre Drouin
2021	J	`jnl`	Toward Foundation Models for Earth Monitoring: Proposal for a Climate Change Benchmark. CoRR Alexandre Lacoste, Evan David Sherwin, Hannah Kerner, Hamed Alemohammad, Björn Lütjens, Jeremy Irvin, David Dao, Alex Chang, Mehmet Gunturkun, Alexandre Drouin, Pau Rodríguez, David Vázquez
2021	J	`jnl`	Typing assumptions improve identification in causal discovery. CoRR Philippe Brouillard, Perouz Taslakian, Alexandre Lacoste, Sébastien Lachapelle, Alexandre Drouin
2021	J	`jnl`	byteSteady: Fast Classification Using Byte-Level n-Gram Embeddings. CoRR Xiang Zhang, Alexandre Drouin, Raymond Li
2020	A*	`conf`	Differentiable Causal Discovery from Interventional Data. NeurIPS Philippe Brouillard, Sébastien Lachapelle, Alexandre Lacoste, Simon Lacoste-Julien, Alexandre Drouin
2020	J	`jnl`	Differentiable Causal Discovery from Interventional Data. CoRR Philippe Brouillard, Sébastien Lachapelle, Alexandre Lacoste, Simon Lacoste-Julien, Alexandre Drouin
2020	—	`conf`	Embedding Propagation: Smoother Manifold for Few-Shot Classification. ECCV (26) Pau Rodríguez, Issam H. Laradji, Alexandre Drouin, Alexandre Lacoste
2020	J	`jnl`	Embedding Propagation: Smoother Manifold for Few-Shot Classification. CoRR Pau Rodríguez, Issam H. Laradji, Alexandre Drouin, Alexandre Lacoste
2020	J	`jnl`	In Search of Robust Measures of Generalization. CoRR Gintare Karolina Dziugaite, Alexandre Drouin, Brady Neal, Nitarshan Rajkumar, Ethan Caballero, Linbo Wang, Ioannis Mitliagkas, Daniel M. Roy
2020	A*	`conf`	In search of robust measures of generalization. NeurIPS Gintare Karolina Dziugaite, Alexandre Drouin, Brady Neal, Nitarshan Rajkumar, Ethan Caballero, Linbo Wang, Ioannis Mitliagkas, Daniel M. Roy
2020	—	`conf`	Phylogenetic Manifold Regularization: A semi-supervised approach to predict transcription factor binding sites. BIBM Faizy Ahsan, Alexandre Drouin, François Laviolette, Doina Precup, Mathieu Blanchette
2020	A*	`conf`	Synbols: Probing Learning Algorithms with Synthetic Datasets. NeurIPS Alexandre Lacoste, Pau Rodríguez López, Frederic Branchaud-Charron, Parmida Atighehchian, Massimo Caccia, Issam Hadj Laradji, Alexandre Drouin, Matt Craddock, Laurent Charlin, David Vázquez
2020	J	`jnl`	Synbols: Probing Learning Algorithms with Synthetic Datasets. CoRR Alexandre Lacoste, Pau Rodríguez, Frédéric Branchaud-Charron, Parmida Atighehchian, Massimo Caccia, Issam H. Laradji, Alexandre Drouin, Matt Craddock, Laurent Charlin, David Vázquez
2018	J	`jnl`	Deep Learning for Electromyographic Hand Gesture Signal Classification by Leveraging Transfer Learning. CoRR Ulysse Côté Allard, Cheikh Latyr Fall, Alexandre Drouin, Alexandre Campeau-Lecours, Clément Gosselin, Kyrre Glette, François Laviolette, Benoit Gosselin
2017	—	`conf`	Maximum Margin Interval Trees. NIPS Alexandre Drouin, Toby Hocking, François Laviolette
2017	J	`jnl`	Maximum Margin Interval Trees. CoRR Alexandre Drouin, Toby Dylan Hocking, François Laviolette
2016	J	`jnl`	Large scale modeling of antimicrobial resistance with interpretable classifiers. CoRR Alexandre Drouin, Frédéric Raymond, Gaël Letarte St-Pierre, Mario Marchand, Jacques Corbeil, François Laviolette
2015	J	`jnl`	Greedy Biomarker Discovery in the Genome with Applications to Antimicrobial Resistance. CoRR Alexandre Drouin, Sébastien Giguère, Maxime Déraspe, François Laviolette, Mario Marchand, Jacques Corbeil
2014	J	`jnl`	Learning interpretable models of phenotypes from whole genome sequences with the Set Covering Machine. CoRR Alexandre Drouin, Sébastien Giguère, Vladana Sagatovich, Maxime Déraspe, François Laviolette, Mario Marchand, Jacques Corbeil
2013	A*	`conf`	Accelerated Robust Point Cloud Registration in Natural Environments through Positive and Unlabeled Learning. IJCAI Maxime Latulippe, Alexandre Drouin, Philippe Giguère, François Laviolette
2013	J	`jnl`	Learning a peptide-protein binding affinity predictor with kernel ridge regression. BMC Bioinform. Sébastien Giguère, Mario Marchand, François Laviolette, Alexandre Drouin, Jacques Corbeil
2012	J	`jnl`	Learning a peptide-protein binding affinity predictor with kernel ridge regression CoRR Sébastien Giguère, Mario Marchand, François Laviolette, Alexandre Drouin, Jacques Corbeil