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 |