Zobrazeno 1 - 10
of 2 036
pro vyhledávání: '"A, Marinier"'
Autor:
Korablyov, Maksym, Liu, Cheng-Hao, Jain, Moksh, van der Sloot, Almer M., Jolicoeur, Eric, Ruediger, Edward, Nica, Andrei Cristian, Bengio, Emmanuel, Lapchevskyi, Kostiantyn, St-Cyr, Daniel, Schuetz, Doris Alexandra, Butoi, Victor Ion, Rector-Brooks, Jarrid, Blackburn, Simon, Feng, Leo, Nekoei, Hadi, Gottipati, SaiKrishna, Vijayan, Priyesh, Gupta, Prateek, Rampášek, Ladislav, Avancha, Sasikanth, Bacon, Pierre-Luc, Hamilton, William L., Paige, Brooks, Misra, Sanchit, Jastrzebski, Stanislaw Kamil, Kaul, Bharat, Precup, Doina, Hernández-Lobato, José Miguel, Segler, Marwin, Bronstein, Michael, Marinier, Anne, Tyers, Mike, Bengio, Yoshua
Despite substantial progress in machine learning for scientific discovery in recent years, truly de novo design of small molecules which exhibit a property of interest remains a significant challenge. We introduce LambdaZero, a generative active lear
Externí odkaz:
http://arxiv.org/abs/2405.01616
Autor:
Koziarski, Michał, Abukalam, Mohammed, Shah, Vedant, Vaillancourt, Louis, Schuetz, Doris Alexandra, Jain, Moksh, van der Sloot, Almer, Bourgey, Mathieu, Marinier, Anne, Bengio, Yoshua
DNA-encoded libraries (DELs) are a powerful approach for rapidly screening large numbers of diverse compounds. One of the key challenges in using DELs is library design, which involves choosing the building blocks that will be combinatorially combine
Externí odkaz:
http://arxiv.org/abs/2404.10094
Autor:
Kharitonov, Eugene, Vincent, Damien, Borsos, Zalán, Marinier, Raphaël, Girgin, Sertan, Pietquin, Olivier, Sharifi, Matt, Tagliasacchi, Marco, Zeghidour, Neil
We introduce SPEAR-TTS, a multi-speaker text-to-speech (TTS) system that can be trained with minimal supervision. By combining two types of discrete speech representations, we cast TTS as a composition of two sequence-to-sequence tasks: from text to
Externí odkaz:
http://arxiv.org/abs/2302.03540
Autor:
Dragan V. Jeremic, MD, Johan Bellemans, MD, PhD, Elliot Sappey-Marinier, MD, PhD, Stephen M. Howell, MD, Werner Hettwer, MD, Maury L. Hull, PhD
Publikováno v:
Arthroplasty Today, Vol 30, Iss , Pp 101569- (2024)
Background: The study focused on kinematically aligned total knee arthroplasty (KA TKA). It identified which coronal plane alignment of the knee (CPAK) types are associated with a higher proportion of medial deviation of the 6° prosthetic trochlear
Externí odkaz:
https://doaj.org/article/2c68d6393c0a46d2a8509469f6f4df7a
Autor:
Gauthier-Melançon, Gabrielle, Ayala, Orlando Marquez, Brin, Lindsay, Tyler, Chris, Branchaud-Charron, Frédéric, Marinier, Joseph, Grande, Karine, Le, Di
We present Azimuth, an open-source and easy-to-use tool to perform error analysis for text classification. Compared to other stages of the ML development cycle, such as model training and hyper-parameter tuning, the process and tooling for the error
Externí odkaz:
http://arxiv.org/abs/2212.08216
Autor:
Borsos, Zalán, Marinier, Raphaël, Vincent, Damien, Kharitonov, Eugene, Pietquin, Olivier, Sharifi, Matt, Roblek, Dominik, Teboul, Olivier, Grangier, David, Tagliasacchi, Marco, Zeghidour, Neil
We introduce AudioLM, a framework for high-quality audio generation with long-term consistency. AudioLM maps the input audio to a sequence of discrete tokens and casts audio generation as a language modeling task in this representation space. We show
Externí odkaz:
http://arxiv.org/abs/2209.03143
Autor:
Ashtari, Pooya, Sima, Diana M., De Lathauwer, Lieven, Sappey-Marinier, Dominique, Maes, Frederik, Van Huffel, Sabine
Publikováno v:
Medical Image Analysis 84 (2023) 102706
Convolutional Neural Networks (CNNs) with U-shaped architectures have dominated medical image segmentation, which is crucial for various clinical purposes. However, the inherent locality of convolution makes CNNs fail to fully exploit global context,
Externí odkaz:
http://arxiv.org/abs/2202.12295
Autor:
Muller, Paul, Rowland, Mark, Elie, Romuald, Piliouras, Georgios, Perolat, Julien, Lauriere, Mathieu, Marinier, Raphael, Pietquin, Olivier, Tuyls, Karl
Recent advances in multiagent learning have seen the introduction ofa family of algorithms that revolve around the population-based trainingmethod PSRO, showing convergence to Nash, correlated and coarse corre-lated equilibria. Notably, when the numb
Externí odkaz:
http://arxiv.org/abs/2111.08350
Autor:
Ramos, Sabela, Girgin, Sertan, Hussenot, Léonard, Vincent, Damien, Yakubovich, Hanna, Toyama, Daniel, Gergely, Anita, Stanczyk, Piotr, Marinier, Raphael, Harmsen, Jeremiah, Pietquin, Olivier, Momchev, Nikola
We introduce RLDS (Reinforcement Learning Datasets), an ecosystem for recording, replaying, manipulating, annotating and sharing data in the context of Sequential Decision Making (SDM) including Reinforcement Learning (RL), Learning from Demonstratio
Externí odkaz:
http://arxiv.org/abs/2111.02767
Autor:
Cabannes, Theophile, Lauriere, Mathieu, Perolat, Julien, Marinier, Raphael, Girgin, Sertan, Perrin, Sarah, Pietquin, Olivier, Bayen, Alexandre M., Goubault, Eric, Elie, Romuald
The recent emergence of navigational tools has changed traffic patterns and has now enabled new types of congestion-aware routing control like dynamic road pricing. Using the fundamental diagram of traffic flows - applied in macroscopic and mesoscopi
Externí odkaz:
http://arxiv.org/abs/2110.11943