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pro vyhledávání: '"Henry,Michael"'
Integrating large language models (LLMs) with knowledge graphs derived from domain-specific data represents an important advancement towards more powerful and factual reasoning. As these models grow more capable, it is crucial to enable them to perfo
Externí odkaz:
http://arxiv.org/abs/2402.06764
Autor:
Eastman, Peter, Galvelis, Raimondas, Peláez, Raúl P., Abreu, Charlles R. A., Farr, Stephen E., Gallicchio, Emilio, Gorenko, Anton, Henry, Michael M., Hu, Frank, Huang, Jing, Krämer, Andreas, Michel, Julien, Mitchell, Joshua A., Pande, Vijay S., Rodrigues, João PGLM, Rodriguez-Guerra, Jaime, Simmonett, Andrew C., Swails, Jason, Zhang, Ivy, Chodera, John D., De Fabritiis, Gianni, Markland, Thomas E.
Machine learning plays an important and growing role in molecular simulation. The newest version of the OpenMM molecular dynamics toolkit introduces new features to support the use of machine learning potentials. Arbitrary PyTorch models can be added
Externí odkaz:
http://arxiv.org/abs/2310.03121
Autor:
Takaba, Kenichiro, Pulido, Iván, Behara, Pavan Kumar, Cavender, Chapin E., Friedman, Anika J., Henry, Michael M., Opeskin, Hugo MacDermott, Iacovella, Christopher R., Nagle, Arnav M., Payne, Alexander Matthew, Shirts, Michael R., Mobley, David L., Chodera, John D., Wang, Yuanqing
The development of reliable and extensible molecular mechanics (MM) force fields -- fast, empirical models characterizing the potential energy surface of molecular systems -- is indispensable for biomolecular simulation and computer-aided drug design
Externí odkaz:
http://arxiv.org/abs/2307.07085
Publikováno v:
American Journal of Public Health. Nov2024, Vol. 114 Issue 11, pe1-e5. 5p.
Autor:
Weinstein, Joanna, Hinson, Ashley P., Allen, Carl E., Eckstein, Olive S., Gulati, Nitya, Chandrakasan, Shanmuganathan, Haines, Hilary, Nakano, Taizo, Patel, Sachit A., Behrens, Edward M, Intzes, Stefanos, Hays, Allyson, Dávila Saldaña, Blachy, Jordan, Michael B., Zoref-Lorenz, Adi, Hanna, Rabi, Isakoff, Michael, Ray, Anish K., Rothman, Jennifer, Tandra, Anand, Cooper, Robert, Leiding, Jennifer W., Chien, May, Sarangi, Susmita, Gidvani, Diaz, Satwani, Prakesh, Carter, John, Henry, Michael, Gloude, Nicholas, Bhatt, Sima, Bhatla, Deepika, Draper, Lauren, Panigrahi, Arun, Hermiston, Michelle, Modica, Renee, Riskalla, Mona, Baker, Ashley, Ward, Brant, Behrens, Edward M., Henry, Michael M., Hermiston, Michelle L., Oladapo, Abiola, Pednekar, Priti, Sarangi, Susmita N., Walkovich, Kelly J., Yee, John D.
Publikováno v:
In Blood Advances 14 May 2024 8(9):2248-2258
Autor:
Henry, Michael B.1 Mhenry12@gmail.com, Funsten, Emily2, Michealson, Marisa A.1, Albright, Danielle3, Crandall, Cameron S.3, Sklar, David P.3,4, George, Naomi3, Greenwood-Ericksen, Margaret3
Publikováno v:
Western Journal of Emergency Medicine: Integrating Emergency Care with Population Health. Sep2024, Vol. 25 Issue 5, p758-766. 9p.
We develop a measure for evaluating the performance of generative networks given two sets of images. A popular performance measure currently used to do this is the Fr\'echet Inception Distance (FID). FID assumes that images featurized using the penul
Externí odkaz:
http://arxiv.org/abs/2110.05240