Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Deng, Arthur"'
Autor:
Corso, Gabriele, Deng, Arthur, Fry, Benjamin, Polizzi, Nicholas, Barzilay, Regina, Jaakkola, Tommi
Publikováno v:
International Conference on Learning Representations 2024
Accurate blind docking has the potential to lead to new biological breakthroughs, but for this promise to be realized, docking methods must generalize well across the proteome. Existing benchmarks, however, fail to rigorously assess generalizability.
Externí odkaz:
http://arxiv.org/abs/2402.18396
Autor:
Menard, Christian, Lohstroh, Marten, Bateni, Soroush, Chorlian, Matthew, Deng, Arthur, Donovan, Peter, Fournier, Clément, Lin, Shaokai, Suchert, Felix, Tanneberger, Tassilo, Kim, Hokeun, Castrillon, Jeronimo, Lee, Edward A.
Actor frameworks and similar reactive programming techniques are widely used for building concurrent systems. They promise to be efficient and scale well to a large number of cores or nodes in a distributed system. However, they also expose programme
Externí odkaz:
http://arxiv.org/abs/2301.02444
Autor:
Corso G; CSAIL, Massachusetts Institute of Technology., Deng A; University of California, Berkeley., Fry B; Dana-Farber Cancer Institute and Harvard Medical School., Polizzi N; Dana-Farber Cancer Institute and Harvard Medical School., Barzilay R; CSAIL, Massachusetts Institute of Technology., Jaakkola T; CSAIL, Massachusetts Institute of Technology.
Publikováno v:
ArXiv [ArXiv] 2024 Feb 28. Date of Electronic Publication: 2024 Feb 28.
