TA5b: Neuroscience-inspired Machine Learning (Invited) |
| Session Type: Oral |
| Time: Tuesday, November 5, 10:15 - 11:55 |
| Location: Scripps |
| Session Chair: Cengiz Pehlevan, Harvard University |
| TA5b-1: INFERENCE IN PROBABILISTIC GRAPHICAL MODELS BY GRAPH NEURAL NETWORKS |
| KiJung Yoon; Hanyang University |
| Renjie Liao; University of Toronto |
| Yuwen Xiong; University of Toronto |
| Lisa Zhang; University of Toronto Mississauga |
| Ethan Fetaya; University of Toronto |
| Raquel Urtasun; University of Toronto |
| Richard Zemel; University of Toronto |
| Xaq Pitkow; Baylor College of Medicine |
| TA5b-2: UNSUPERVISED LEARNING BY A "SOFTENED" CORRELATION GAME: DUALITY AND CONVERGENCE |
| Kyle Luther; Princeton University |
| Runzhe Yang; Princeton University |
| Sebastian Seung; Princeton University |
| TA5b-3: ADJOINT DYNAMICS OF STABLE LIMIT CYCLE NEURAL NETWORKS |
| Piotr Sokół; Stony Brook University |
| Ian Jordan; Stony Brook University |
| Eben Kadile; Stony Brook University |
| Il Memming Park; Stony Brook University |
| TA5b-4: A CLOSER LOOK AT DISENTANGLING IN ꞵ-VAE |
| Harshvardhan Sikka; Harvard University |
| Weishun Zhong; Massachusetts Institute of Technology |
| Jun Yin; Harvard University |
| Cengiz Pehlevan; Harvard University |