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My Asilomar 2019 Schedule

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Technical Program

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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