Zobrazeno 1 - 10
of 21 434
pro vyhledávání: '"P Gagnon"'
Autor:
Elmoznino, Eric, Marty, Tom, Kasetty, Tejas, Gagnon, Leo, Mittal, Sarthak, Fathi, Mahan, Sridhar, Dhanya, Lajoie, Guillaume
The goal of machine learning is generalization. While the No Free Lunch Theorem states that we cannot obtain theoretical guarantees for generalization without further assumptions, in practice we observe that simple models which explain the training d
Externí odkaz:
http://arxiv.org/abs/2410.14086
Large Language Models (LLMs) perform outstandingly in various downstream tasks, and the use of the Retrieval-Augmented Generation (RAG) architecture has been shown to improve performance for legal question answering (Nuruzzaman and Hussain, 2020; Lou
Externí odkaz:
http://arxiv.org/abs/2410.09623
Exploration of unknown, unstructured environments, such as in search and rescue, cave exploration, and planetary missions,presents significant challenges due to their unpredictable nature. This unpredictability can lead to inefficient path planning a
Externí odkaz:
http://arxiv.org/abs/2410.03917
We present FastLexRank\footnote{https://github.com/LiMaoUM/FastLexRank}, an efficient and scalable implementation of the LexRank algorithm for text ranking. Designed to address the computational and memory complexities of the original LexRank method,
Externí odkaz:
http://arxiv.org/abs/2410.01183
Autor:
Gagnon, Philippe, Desgagné, Alain
Heavy-tailed models are often used as a way to gain robustness against outliers in Bayesian analyses. On the other side, in frequentist analyses, M-estimators are often employed. In this paper, the two approaches are reconciled by considering M-estim
Externí odkaz:
http://arxiv.org/abs/2408.10478
Paired cluster-randomized experiments (pCRTs) are common across many disciplines because there is often natural clustering of individuals, and paired randomization can help balance baseline covariates to improve experimental precision. Although pCRTs
Externí odkaz:
http://arxiv.org/abs/2407.01765
Autor:
Jain, Aditya, Cunha, Fagner, Bunsen, Michael James, Cañas, Juan Sebastián, Pasi, Léonard, Pinoy, Nathan, Helsing, Flemming, Russo, JoAnne, Botham, Marc, Sabourin, Michael, Fréchette, Jonathan, Anctil, Alexandre, Lopez, Yacksecari, Navarro, Eduardo, Pimentel, Filonila Perez, Zamora, Ana Cecilia, Silva, José Alejandro Ramirez, Gagnon, Jonathan, August, Tom, Bjerge, Kim, Segura, Alba Gomez, Bélisle, Marc, Basset, Yves, McFarland, Kent P., Roy, David, Høye, Toke Thomas, Larrivée, Maxim, Rolnick, David
Insects represent half of all global biodiversity, yet many of the world's insects are disappearing, with severe implications for ecosystems and agriculture. Despite this crisis, data on insect diversity and abundance remain woefully inadequate, due
Externí odkaz:
http://arxiv.org/abs/2406.12452
Autor:
Besner, Alexandre, Massé, Alexandre Blondin, Bani, Abderrahman, Morabit, Mouad, Charest, Luc, Ialongo, David, Couture-Gagnon, Simon, Fournier, Julien
Hydro-Quebec (HQ) is a vertically integrated utility that produces, transmits, and distributes most of the electricity in the province of Quebec. The power grid it operates has a particular architecture created by large hydroelectric dams located far
Externí odkaz:
http://arxiv.org/abs/2405.20199
Autor:
Mittal, Sarthak, Elmoznino, Eric, Gagnon, Leo, Bhardwaj, Sangnie, Sridhar, Dhanya, Lajoie, Guillaume
Large autoregressive models like Transformers can solve tasks through in-context learning (ICL) without learning new weights, suggesting avenues for efficiently solving new tasks. For many tasks, e.g., linear regression, the data factorizes: examples
Externí odkaz:
http://arxiv.org/abs/2405.19162
Autor:
Gagnon, Paul, Benjamin, Misha, Gauthier, Justine, Regis, Catherine, Lee, Jenny, Nordell-Markovits, Alexei
Historically, open source commitments have been deemed irrevocable once materials are released under open source licenses. In this paper, the authors argue for the creation of a subset of rights that allows open source contributors to force users to
Externí odkaz:
http://arxiv.org/abs/2407.13064