Search

Issue (2019:Dec.)

1. Adaptive path-integral autoencoder: representation learning and planning for dynamical systems*This article is an updated version of: Ha J-S, Park Y-J, Chae H-J, Park S-S and Choi H-L 2018 Adaptive path-integral autoencoders: representation learning and planning for dynamical systems Advances in Neural Information Processing Systems vol 31, ed S Bengio et al (Red Hook, NY: Curran Associates, Inc.) pp 8927–38. (20th December 2019)

Authors:
Ha, Jung-Su; Park, Young-Jin; Chae, Hyeok-Joo; Park, Soon-Seo; Choi, Han-Lim
Journal:
Journal of statistical mechanics
Issue:
(2019:Dec.)
Page Start:
Record Type:
Journal Article
View Content:
Available online (eLD content is only available in our Reading Rooms) ↗

4. Entropy-SGD: biasing gradient descent into wide valleys*This article is an updated version of Chaudhari P, Choromanska A, Soatto S, LeCun Y, Baldassi C, Borgs C, Chayes J, Sagun L, and Zecchina R 2017 Entropy-SGD: biasing gradient descent into wide valleys. Proc. of the International Conference of Learning and Representations (ICLR 2017).Code: https://github.com/ucla-vision/entropy-sgd. (20th December 2019)

Authors:
Chaudhari, Pratik; Choromanska, Anna; Soatto, Stefano; LeCun, Yann; Baldassi, Carlo; Borgs, Christian; Chayes, Jennifer; Sagun, Levent; Zecchina, Riccardo
Journal:
Journal of statistical mechanics
Issue:
(2019:Dec.)
Page Start:
Record Type:
Journal Article
View Content:
Available online (eLD content is only available in our Reading Rooms) ↗

7. Gauging variational inference*This article is an updated version of: Ahn S, Chertkov M and Shin J 2017 Gauging variational inference Advances in Neural Information Processing Systems 30 ed I Guyon, U V Luxburg, S Bengio, H Wallach, R Fergus, S Vishwanathan and R Garnett (Red Hook, NY: Curran Associates, Inc.) pp 2881–2890. (20th December 2019)

Authors:
Ahn, Sungsoo; Chertkov, Michael; Shin, Jinwoo
Journal:
Journal of statistical mechanics
Issue:
(2019:Dec.)
Page Start:
Record Type:
Journal Article
View Content:
Available online (eLD content is only available in our Reading Rooms) ↗

8. Gauging variational inference*This article is an updated version of: Ahn S, Chertkov M and Shin J 2017 Gauging variational inference Advances in Neural Information Processing Systems 30 ed I Guyon, U V Luxburg, S Bengio, H Wallach, R Fergus, S Vishwanathan and R Garnett (Red Hook, NY: Curran Associates, Inc.) pp 2881–2890. (20th December 2019)

Authors:
Ahn, Sungsoo; Chertkov, Michael; Shin, Jinwoo
Journal:
Journal of statistical mechanics
Issue:
(2019:Dec.)
Page Start:
Record Type:
Journal Article
View Content:
Available online (eLD content is only available in our Reading Rooms) ↗

Limit your search