Alexandre Lacoste - researchr alias

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Viewing Publication 1 - 32 from 32

2023

Choreographer: Learning and Adapting Skills in ImaginationPietro Mazzaglia, Tim Verbelen, Bart Dhoedt, Alexandre Lacoste, Sai Rajeswar. iclr 2023: [doi]

From IID to the Independent Mechanisms assumption in continual learningOleksiy Ostapenko, Pau Rodríguez, Alexandre Lacoste, Laurent Charlin. AAAI 2023: 25-29 [doi]

Mastering the Unsupervised Reinforcement Learning Benchmark from PixelsSai Rajeswar, Pietro Mazzaglia, Tim Verbelen, Alexandre Piché, Bart Dhoedt, Aaron C. Courville, Alexandre Lacoste. icml 2023: 28598-28617 [doi]

Explaining Visual Counterfactual ExplainersDiego A. Velázquez, Pau Rodríguez, Alexandre Lacoste, Issam H. Laradji, F. Xavier Roca, Jordi Gonzàlez 0001. tmlr, 2023, 2023. [doi]

2022

Typing assumptions improve identification in causal discoveryPhilippe Brouillard, Perouz Taslakian, Alexandre Lacoste, Sébastien Lachapelle, Alexandre Drouin. clear2 2022: 162-177 [doi]

Disentanglement via Mechanism Sparsity Regularization: A New Principle for Nonlinear ICASébastien Lachapelle, Pau Rodríguez, Yash Sharma, Katie Everett, Rémi Le Priol, Alexandre Lacoste, Simon Lacoste-Julien. clear2 2022: 428-484 [doi]

2021

Seasonal Contrast: Unsupervised Pre-Training from Uncurated Remote Sensing DataOscar Mañas, Alexandre Lacoste, Xavier Giró i Nieto, David Vázquez 0001, Pau Rodríguez. iccv 2021: 9394-9403 [doi]

Beyond Trivial Counterfactual Explanations with Diverse Valuable ExplanationsPau Rodríguez, Massimo Caccia, Alexandre Lacoste, Lee Zamparo, Issam H. Laradji, Laurent Charlin, David Vázquez 0001. iccv 2021: 1036-1045 [doi]

2020

Differentiable Causal Discovery from Interventional DataPhilippe Brouillard, Sébastien Lachapelle, Alexandre Lacoste, Simon Lacoste-Julien, Alexandre Drouin. nips 2020: [doi]

Online Fast Adaptation and Knowledge Accumulation (OSAKA): a New Approach to Continual LearningMassimo Caccia, Pau Rodríguez, Oleksiy Ostapenko, Fabrice Normandin, Min Lin, Lucas Page-Caccia, Issam Hadj Laradji, Irina Rish, Alexandre Lacoste, David Vázquez, Laurent Charlin. nips 2020: [doi]

Stochastic Neural Network with Kronecker FlowChin-Wei Huang, Ahmed Touati, Pascal Vincent, Gintare Karolina Dziugaite, Alexandre Lacoste, Aaron C. Courville. aistats 2020: 4184-4194 [doi]

Synbols: Probing Learning Algorithms with Synthetic DatasetsAlexandre Lacoste, Pau Rodríguez López, Frederic Branchaud-Charron, Parmida Atighehchian, Massimo Caccia, Issam Hadj Laradji, Alexandre Drouin, Matt Craddock, Laurent Charlin, David Vázquez. nips 2020: [doi]

Estimating Carbon Emissions of Artificial Intelligence [Opinion]Alexandra Luccioni, Alexandre Lacoste, Victor Schmidt. tasm, 39(2):48-51, 2020. [doi]

Embedding Propagation: Smoother Manifold for Few-Shot ClassificationPau Rodríguez, Issam H. Laradji, Alexandre Drouin, Alexandre Lacoste. eccv 2020: 121-138 [doi]

2019

Hierarchical Importance Weighted AutoencodersChin-Wei Huang, Kris Sankaran, Eeshan Dhekane, Alexandre Lacoste, Aaron C. Courville. icml 2019: 2869-2878 [doi]

Probability Distillation: A Caveat and AlternativesChin-Wei Huang, Faruk Ahmed, Kundan Kumar, Alexandre Lacoste, Aaron C. Courville. uai 2018: 450 [doi]

2018

2017

Coarse-to-Fine Question Answering for Long DocumentsEunsol Choi, Daniel Hewlett, Jakob Uszkoreit, Illia Polosukhin, Alexandre Lacoste, Jonathan Berant. acl 2017: 209-220 [doi]

Accurate Supervised and Semi-Supervised Machine Reading for Long DocumentsDaniel Hewlett, Llion Jones, Alexandre Lacoste, Izzeddin Gur. emnlp 2017: 2001-2010 [doi]

2016

PAC-Bayesian Theory Meets Bayesian InferencePascal Germain, Francis R. Bach, Alexandre Lacoste, Simon Lacoste-Julien. nips 2016: 1876-1884 [doi]

WikiReading: A Novel Large-scale Language Understanding Task over WikipediaDaniel Hewlett, Alexandre Lacoste, Llion Jones, Illia Polosukhin, Andrew Fandrianto, Jay Han, Matthew Kelcey, David Berthelot. acl 2016: [doi]

2014

Sequential Model-Based Ensemble OptimizationAlexandre Lacoste, Hugo Larochelle, Mario Marchand, François Laviolette. uai 2014: 440-448 [doi]

Agnostic Bayesian Learning of EnsemblesAlexandre Lacoste, Mario Marchand, François Laviolette, Hugo Larochelle. icml 2014: 611-619 [doi]

2012

Bayesian Comparison of Machine Learning Algorithms on Single and Multiple DatasetsAlexandre Lacoste, François Laviolette, Mario Marchand. aistats 2012: 665-675 [doi]

2011

A PAC-Bayes Sample-compression Approach to Kernel MethodsPascal Germain, Alexandre Lacoste, François Laviolette, Mario Marchand, Sara Shanian. icml 2011: 297-304

2007

A Supervised Classification Algorithm for Note Onset DetectionAlexandre Lacoste, Douglas Eck. ejasp, 2007, 2007. [doi]

2006

Predicting genre labels for artist using FreeDBJames Bergstra, Alexandre Lacoste, Douglas Eck. ismir 2006: 85-88

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2006

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