Technical Program

Note: All times are in Pacific Daylight Time (UTC -7)

F-7: Neuroscience-inspired Machine Learning (invited)

Session Type: Virtual
Time: Monday, November 01, 11:15 - 12:45
Location: Room 5
Virtual Session: Attend on Virtual Platform
Session Chair: Cengiz Pehlevan, Harvard University, USA
 
F-7.1: Algorithmic insights on continual learning from fruit flies
         Yang Shen; Cold Spring Harbor Laboratory
         Sanjoy Dasgupta; University of California, San Diego
         Saket Navlakha; Cold Spring Harbor Laboratory
 
F-7.2: Perceptron classification with learned synaptic nonlinearities
         Yuru Song; UC San Diego
         Marcus K. Benna; UC San Diego
 
F-7.3: Towards Human-like Reinforcement Learning
         Ida Momennejad; Microsoft Research NYC
 
F-7.4: Depth induces scale-averaging in overparameterized linear Bayesian neural networks
         Jacob Zavatone-Veth; Harvard University
         Cengiz Pehlevan; Harvard University