TuTh 9.30-11 in CSE 2154
Office hours Th 11-1 in CSE 4138
This quarter the theme of CSE 254 is neurally-inspired unsupervised learning.
The first few lectures will cover basic technical material. Thereafter, each class meeting will consist of student presentations. Each student will present a technical paper (or several papers) in detail. All seminar participants will discuss the paper and the issues raised by it.
|Sep 27||Sanjoy||Random projection||
|Oct 2||Sanjoy||Hopfield nets||
|Oct 4||Sanjoy||Markov random fields||
|Oct 9||Sanjoy||Gibbs sampling and restricted Boltzmann machines||
|Oct 11||Sanjoy||Sparse recovery|
|Oct 16||Dalin||Learning a sparse code for natural images||slides|
|Huanqiu||Efficient auditory coding and Efficient coding of natural sounds||slides|
|Oct 18||Jiayuan||Distributed neurally-plausible sparse coding||slides|
|Shilin||Natural image statistics and neural representation||slides|
|Oct 23||Gokce||The independent components of natural scenes are edge filters||slides|
|Oct 25||Alankrita||Compressed sensing||slides|
|Gaurav||More compressed sensing||slides|
|Oct 30||Shuang||Upper bounds on the capacity of Hopfield nets||slides|
|Nov 1||Yaoguang||Properties of restricted Boltzmann machines||slides|
|Zhiwei||Deep belief nets||slides|
|Nov 6||Jongha||Mean shift for gradient estimation and mode finding||slides|
|Siva||Consistency of mean shift||slides|
|Nov 8||Jenny||Self-organizing maps||slides|
|Chaitanya, Henry||Sparseness and expansion in sensory representations||slides|
|Nov 13||Max||Memorization and association on a realistic neural model||slides|
|Robi||Unsupervised learning through preidction in a model of cortex||slides|
|Nov 15||Andrew, Anthony||Probabilistic logics and the synthesis of reliable organisms from unreliable components||slides|
|Ivan||Highly fault-tolerant parallel computation||slides|
|Nov 20||Julaiti||Information bottleneck theory of deep learning: part 1 and part 2||slides|
|Fangyi||Manifold learning via Isomap: overview and theory||slides|
|Dec 14||Duong||Laplacian eigenmaps||slides|
This is a four unit course in which the work consists of oral presentations.
The procedure for each student presentation is as follows:
The schedule of presentations will be determined as much as possible on Sep 27. Here is a preliminary list of papers.
If you want to change your presentation date, please arrange a swap
with another student and notify me at least two weeks in advance.