Zobrazeno 1 - 10
of 10 267
pro vyhledávání: '"Rector, A."'
Autor:
Rector-Brooks, Jarrid, Hasan, Mohsin, Peng, Zhangzhi, Quinn, Zachary, Liu, Chenghao, Mittal, Sarthak, Dziri, Nouha, Bronstein, Michael, Bengio, Yoshua, Chatterjee, Pranam, Tong, Alexander, Bose, Avishek Joey
Generative modeling of discrete data underlies important applications spanning text-based agents like ChatGPT to the design of the very building blocks of life in protein sequences. However, application domains need to exert control over the generate
Externí odkaz:
http://arxiv.org/abs/2410.08134
Autor:
Kim, Minsu, Choi, Sanghyeok, Yun, Taeyoung, Bengio, Emmanuel, Feng, Leo, Rector-Brooks, Jarrid, Ahn, Sungsoo, Park, Jinkyoo, Malkin, Nikolay, Bengio, Yoshua
Amortized inference is the task of training a parametric model, such as a neural network, to approximate a distribution with a given unnormalized density where exact sampling is intractable. When sampling is implemented as a sequential decision-makin
Externí odkaz:
http://arxiv.org/abs/2410.01432
Autor:
Rector, T. A., Barbier, L., Couperis, A., Danner, R., Egan, A., Green, P., Jacoby, G., Monkiewicz, J., Nikutta, R., Pitman, K., Rutkowski, M., Tuttle, S., Virkki, A., Volk, K.
The AAS Strategic Plan for 2021-26 called for the creation of a task force to identify how the AAS can meet the goals of the Paris Agreement. The AAS and its membership recognize the danger climate change represents to humanity and our world, and to
Externí odkaz:
http://arxiv.org/abs/2406.10451
Autor:
Venkatraman, Siddarth, Jain, Moksh, Scimeca, Luca, Kim, Minsu, Sendera, Marcin, Hasan, Mohsin, Rowe, Luke, Mittal, Sarthak, Lemos, Pablo, Bengio, Emmanuel, Adam, Alexandre, Rector-Brooks, Jarrid, Bengio, Yoshua, Berseth, Glen, Malkin, Nikolay
Diffusion models have emerged as effective distribution estimators in vision, language, and reinforcement learning, but their use as priors in downstream tasks poses an intractable posterior inference problem. This paper studies amortized sampling of
Externí odkaz:
http://arxiv.org/abs/2405.20971
Autor:
Huguet, Guillaume, Vuckovic, James, Fatras, Kilian, Thibodeau-Laufer, Eric, Lemos, Pablo, Islam, Riashat, Liu, Cheng-Hao, Rector-Brooks, Jarrid, Akhound-Sadegh, Tara, Bronstein, Michael, Tong, Alexander, Bose, Avishek Joey
Proteins are essential for almost all biological processes and derive their diverse functions from complex 3D structures, which are in turn determined by their amino acid sequences. In this paper, we exploit the rich biological inductive bias of amin
Externí odkaz:
http://arxiv.org/abs/2405.20313
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:
Gokus, Andrea, Jahnke, Knud, Woods, Paul M, Moss, Vanessa A, Ossenkopf-Okada, Volker, Sacchi, Elena, Stevens, Adam R H, Burtscher, Leonard, Kayhan, Cenk, Dalgleish, Hannah, Grinberg, Victoria, Rector, Travis A, Rybizki, Jan, White, Jacob
Publikováno v:
PNAS Nexus, Volume 3, Issue 5, May 2024, pgae143
Travel to academic conferences -- where international flights are the norm -- is responsible for a sizeable fraction of the greenhouse gas (GHG) emissions associated with academic work. In order to provide a benchmark for comparison with other fields
Externí odkaz:
http://arxiv.org/abs/2405.00104
Converting a three-dimensional medical image into a 3D mesh that satisfies both the quality and fidelity constraints of predictive simulations and image-guided surgical procedures remains a critical problem. Presented is an image-to-mesh conversion m
Externí odkaz:
http://arxiv.org/abs/2402.18596
Autor:
Akhound-Sadegh, Tara, Rector-Brooks, Jarrid, Bose, Avishek Joey, Mittal, Sarthak, Lemos, Pablo, Liu, Cheng-Hao, Sendera, Marcin, Ravanbakhsh, Siamak, Gidel, Gauthier, Bengio, Yoshua, Malkin, Nikolay, Tong, Alexander
Efficiently generating statistically independent samples from an unnormalized probability distribution, such as equilibrium samples of many-body systems, is a foundational problem in science. In this paper, we propose Iterated Denoising Energy Matchi
Externí odkaz:
http://arxiv.org/abs/2402.06121
Autor:
Sendera, Marcin, Kim, Minsu, Mittal, Sarthak, Lemos, Pablo, Scimeca, Luca, Rector-Brooks, Jarrid, Adam, Alexandre, Bengio, Yoshua, Malkin, Nikolay
We study the problem of training diffusion models to sample from a distribution with a given unnormalized density or energy function. We benchmark several diffusion-structured inference methods, including simulation-based variational approaches and o
Externí odkaz:
http://arxiv.org/abs/2402.05098