Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Nica, Andrei"'
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:
Bose, Avishek Joey, Akhound-Sadegh, Tara, Huguet, Guillaume, Fatras, Kilian, Rector-Brooks, Jarrid, Liu, Cheng-Hao, Nica, Andrei Cristian, Korablyov, Maksym, Bronstein, Michael, Tong, Alexander
The computational design of novel protein structures has the potential to impact numerous scientific disciplines greatly. Toward this goal, we introduce FoldFlow, a series of novel generative models of increasing modeling power based on the flow-matc
Externí odkaz:
http://arxiv.org/abs/2310.02391
Autor:
Madan, Kanika, Rector-Brooks, Jarrid, Korablyov, Maksym, Bengio, Emmanuel, Jain, Moksh, Nica, Andrei, Bosc, Tom, Bengio, Yoshua, Malkin, Nikolay
Generative flow networks (GFlowNets) are a family of algorithms for training a sequential sampler of discrete objects under an unnormalized target density and have been successfully used for various probabilistic modeling tasks. Existing training obj
Externí odkaz:
http://arxiv.org/abs/2209.12782
Decision-making AI agents are often faced with two important challenges: the depth of the planning horizon, and the branching factor due to having many choices. Hierarchical reinforcement learning methods aim to solve the first problem, by providing
Externí odkaz:
http://arxiv.org/abs/2201.09653
Autor:
Nica, Andrei-Robert
Publikováno v:
Journal of Defense Resources Management (JoDRM). 13(1):41-57
Externí odkaz:
https://www.ceeol.com/search/article-detail?id=1049484
Autor:
Nica Andrei-George
Publikováno v:
Medicamentul Veterinar, Vol 16, Iss 1, Pp 19-23 (2022)
The presentation is an update of the aspects specific to the connection/adoption of the Romanian legislation of the field to that of the EU, respectively EU Regulation 2019/6, of the EU Parliament and of the Council of 11 December 2018, regarding vet
Externí odkaz:
https://doaj.org/article/5cc5f91d3057459d809ea1c144058d13
Publikováno v:
Database Systems Journal; 2024, Vol. 15 Issue 1, p10-22, 13p
Publikováno v:
Annals of West University of Timisoara: Series of Biology; 2020, Vol. 23 Issue 2, p159-168, 10p