Neural Algorithms Reading Group

Time: Fridays 11am-12:30pm, Spring Semester 2020 (first Meeting 2/14)
Location: Stata G451 (excpet on 3/6 on G825 and 4/10 on D507)
(Take G tower elevator to 4th floor and follow signs to room G451.)
Organizers: Nancy Lynch (lynch at csail dot mit dot edu), Mien Brabeeba Wang (brabeeba at mit dot edu), Lili Su (lilisu3 at csail dot mit dot edu)
Last year's reading group website
my photo

Background reading/watching

(Tentative) Schedule

(2/14) Overview and planning: Nancy Lynch

(2/21) Short-term learning: Cameron Musco

(2/28) Oja's rule, analysis: Brabeeba Wang and Chi-Ning Chou

(3/6) Coronavirus. Postpone meeting for a week and all the subsequent meetings are conducted over Zoom.

(3/13) Valiant's work: Nishanth Dikkala

    To read:
    • Basic neuroid model and how it represents and learns concepts, for long-term learning.
    • Limitations on memory capacity.
    • Circuits of the Mind
    What was presented:
    • Slides
    • Basic neuroid model and algorithms to solve memorization task
    • Inductive learning will be spilled over to next week

(3/20) Valiant, cont'd: Nishanth Dikkala, Quanquan

(3/27) Valiant, cont'd. Papadimitriou. Quanquan, Jiajia

(4/3)Papadimitriou papers: Shankha

(4/10) Papadimitriou papers: Papadimitriou

(4/17) Other Papadimitriou work: Brabeeba

(4/24) Connections with Artificial Neural Networks: Lili Su, Jiajia

(5/1) Learning of logically structured concepts: Nancy Lynch, Frederik, Shankha

(5/8) Language continued: Frederik; Mathematics and biology of the retina: Brabeeba Wang, Chi-Ning-Chou