Alexandre Lacoste
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
22
Venues
11
Active years
2011–2025
Best venue rank
A*
Where they publish
Papers
22 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICCV | GEOBench-VLM: Benchmarking Vision-Language Models for Geospatial Tasks. | Muhammad Sohail Danish, Muhammad Akhtar Munir, Syed Roshaan Ali Shah, Kartik Kuckreja, Fahad Shahbaz Khan, Paolo Fraccaro, Alexandre Lacoste, Salman Khan |
| 2025 | ICLR | InsightBench: Evaluating Business Analytics Agents Through Multi-Step Insight Generation. | Gaurav Sahu, Abhay Puri, Juan A. Rodrguez, Amirhossein Abaskohi, Mohammad Chegini, Alexandre Drouin, Perouz Taslakian, Valentina Zantedeschi, Alexandre Lacoste, David Vzquez, Nicolas Chapados, Christopher Pal, Sai Rajeswar, Issam H. Laradji |
| 2025 | ICML | Context is Key: A Benchmark for Forecasting with Essential Textual Information. | Andrew Robert Williams, Arjun Ashok, tienne Marcotte, Valentina Zantedeschi, Jithendaraa Subramanian, Roland Riachi, James Requeima, Alexandre Lacoste, Irina Rish, Nicolas Chapados, Alexandre Drouin |
| 2025 | WACV | EarthView: A Large Scale Remote Sensing Dataset for Self-Supervision. | Diego A. Velzquez, Pau Rodrguez Lpez, Sergio Alonso, Josep M. Gonfaus, Jordi Gonzlez, Gerardo Richarte, Javier Marn, Yoshua Bengio, Alexandre Lacoste |
| 2024 | ICML | WorkArena: How Capable are Web Agents at Solving Common Knowledge Work Tasks? | Alexandre Drouin, Maxime Gasse, Massimo Caccia, Issam H. Laradji, Manuel Del Verme, Tom Marty, David Vzquez, Nicolas Chapados, Alexandre Lacoste |
| 2023 | AAAI | From IID to the Independent Mechanisms assumption in continual learning. | Oleksiy Ostapenko, Pau Rodrguez, Alexandre Lacoste, Laurent Charlin |
| 2023 | ICLR | Choreographer: Learning and Adapting Skills in Imagination. | Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt, Alexandre Lacoste, Sai Rajeswar |
| 2023 | ICML | Mastering the Unsupervised Reinforcement Learning Benchmark from Pixels. | Sai Rajeswar, Pietro Mazzaglia, Tim Verbelen, Alexandre Pich, Bart Dhoedt, Aaron C. Courville, Alexandre Lacoste |
| 2021 | ICCV | Seasonal Contrast: Unsupervised Pre-Training from Uncurated Remote Sensing Data. | Oscar Maas, Alexandre Lacoste, Xavier Gir-i-Nieto, David Vzquez, Pau Rodrguez |
| 2021 | ICCV | Beyond Trivial Counterfactual Explanations with Diverse Valuable Explanations. | Pau Rodrguez, Massimo Caccia, Alexandre Lacoste, Lee Zamparo, Issam H. Laradji, Laurent Charlin, David Vzquez |
| 2020 | AISTATS | Stochastic Neural Network with Kronecker Flow. | Chin-Wei Huang, Ahmed Touati, Pascal Vincent, Gintare Karolina Dziugaite, Alexandre Lacoste, Aaron C. Courville |
| 2020 | ECCV | Embedding Propagation: Smoother Manifold for Few-Shot Classification. | Pau Rodrguez, Issam H. Laradji, Alexandre Drouin, Alexandre Lacoste |
| 2019 | ICML | Hierarchical Importance Weighted Autoencoders. | Chin-Wei Huang, Kris Sankaran, Eeshan Dhekane, Alexandre Lacoste, Aaron C. Courville |
| 2019 | UAI | Probability Distillation: A Caveat and Alternatives. | Chin-Wei Huang, Faruk Ahmed, Kundan Kumar, Alexandre Lacoste, Aaron C. Courville |
| 2018 | CPAIOR | Learning Heuristics for the TSP by Policy Gradient. | Michel Deudon, Pierre Cournut, Alexandre Lacoste, Yossiri Adulyasak, Louis-Martin Rousseau |
| 2018 | ICML | Neural Autoregressive Flows. | Chin-Wei Huang, David Krueger, Alexandre Lacoste, Aaron C. Courville |
| 2017 | ACL | Coarse-to-Fine Question Answering for Long Documents. | Eunsol Choi, Daniel Hewlett, Jakob Uszkoreit, Illia Polosukhin, Alexandre Lacoste, Jonathan Berant |
| 2017 | EMNLP | Accurate Supervised and Semi-Supervised Machine Reading for Long Documents. | Izzeddin Gur, Daniel Hewlett, Alexandre Lacoste, Llion Jones |
| 2016 | ACL | WikiReading: A Novel Large-scale Language Understanding Task over Wikipedia. | Daniel Hewlett, Alexandre Lacoste, Llion Jones, Illia Polosukhin, Andrew Fandrianto, Jay Han, Matthew Kelcey, David Berthelot |
| 2014 | ICML | Agnostic Bayesian Learning of Ensembles. | Alexandre Lacoste, Mario Marchand, Franois Laviolette, Hugo Larochelle |
| 2014 | UAI | Sequential Model-Based Ensemble Optimization. | Alexandre Lacoste, Hugo Larochelle, Mario Marchand, Franois Laviolette |
| 2011 | ICML | A PAC-Bayes Sample-compression Approach to Kernel Methods. | Pascal Germain, Alexandre Lacoste, Franois Laviolette, Mario Marchand, Sara Shanian |