Computing Absolute Free Energy with Deep Generative Models

被引：0
|
作者：
Ding, Xinqiang [1 ]
Zhang, Bin [1 ]
机构：
[1] MIT, 77 Massachusetts Ave, Cambridge, MA 02139 USA
来源：
BIOPHYSICAL JOURNAL | 2021年 / 120卷 / 03期
关键词：
D O I：
暂无
中图分类号：
Q6 [生物物理学];
学科分类号：
071011 ;
摘要：
945-Plat
引用
收藏
页码：195A / 195A
页数：1
相关论文
共 50 条
  • [1] Computing Absolute Free Energy with Deep Generative Models
    Ding, Xinqiang
    Zhang, Bin
    [J]. JOURNAL OF PHYSICAL CHEMISTRY B, 2020, 124 (45): : 10166 - 10172
  • [2] Deep Generative Models that Solve PDEs: Distributed Computing for Training Large Data-Free Models
    Botelho, Sergio
    Joshi, Ameya
    Khara, Biswajit
    Rao, Vinay
    Sarkar, Soumik
    Hegde, Chinmay
    Adavani, Santi
    Ganapathysubramanian, Baskar
    [J]. 2020 IEEE/ACM WORKSHOP ON MACHINE LEARNING IN HIGH PERFORMANCE COMPUTING ENVIRONMENTS (MLHPC 2020) AND WORKSHOP ON ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING FOR SCIENTIFIC APPLICATIONS (AI4S 2020), 2020, : 50 - 63
  • [3] Deep Latent Generative Models for Energy Disaggregation
    Bejarano, Gissella
    DeFazio, David
    Ramesh, Arti
    [J]. THIRTY-THIRD AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTY-FIRST INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE / NINTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE, 2019, : 850 - 857
  • [4] Representations in design computing through 3-D deep generative models
    Çakmak, Başak
    Öngün, Cihan
    [J]. Artificial Intelligence for Engineering Design, Analysis and Manufacturing: AIEDAM, 2024, 38
  • [5] Diversity in Deep Generative Models and Generative AI
    Turinici, Gabriel
    [J]. MACHINE LEARNING, OPTIMIZATION, AND DATA SCIENCE, LOD 2023, PT II, 2024, 14506 : 84 - 93
  • [6] Learning Deep Generative Models
    Salakhutdinov, Ruslan
    [J]. ANNUAL REVIEW OF STATISTICS AND ITS APPLICATION, VOL 2, 2015, 2 : 361 - 385
  • [7] Deep generative models in DataSHIELD
    Stefan Lenz
    Moritz Hess
    Harald Binder
    [J]. BMC Medical Research Methodology, 21
  • [8] Metrics for Deep Generative Models
    Chen, Nutan
    Klushyn, Alexej
    Kurle, Richard
    Jiang, Xueyan
    Bayer, Justin
    van der Smagt, Patrick
    [J]. INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND STATISTICS, VOL 84, 2018, 84
  • [9] Asymmetric deep generative models
    Partaourides, Harris
    Chatzis, Sotirios P.
    [J]. NEUROCOMPUTING, 2017, 241 : 90 - 96
  • [10] Auxiliary Deep Generative Models
    Maaloe, Lars
    Sonderby, Casper Kaae
    Sonderby, Soren Kaae
    Winther, Ole
    [J]. INTERNATIONAL CONFERENCE ON MACHINE LEARNING, VOL 48, 2016, 48
12345