Deep Learning Journal Club

Shim Lab, Pique-Regi Lab, and Luca Lab are reading papers on deep learning and its application to genomics. Feel free to email us if you'd like to join (even for a particular paper) or you have any suggestions.

• Link to potential reading list
• Meetings are on Wednesday at 3pm ET via skype unless otherwise stated.

Date	Discussion Leader	Paper
November 16 2016	Emery	Generative Adversarial Nets, Goodfellow et al, 2016, OpenAI: Generative Models
November 2 2016	Alex	research update
October 5 2016		Brainstorming for projects
September 28 2016		Brainstorming for projects
September 21 2016	Emery and Alex	Basset: learning the regulatory code of the accessible genome with deep convolutional neural networks, Kelley et al, 2016
September 7 2016	Alex	DanQ: a hybrid convolutional and recurrent deep neural network for quantifying the function of DNA sequences, Quang and Xie, 2016
August 31 2016	Emery	Sequence Modeling: Recurrentand Recursive Nets, Chapter 10 of Goodfellow et al, 2016
August 24 2016 3:30pm ET	Alex	Predicting the sequence specificities of DNA- and RNA-binding proteins by deep learning, Alipanahi et al, 2015
August 19 2016 noon	Sicheng and Patrick	Convolutional Networks, Chapter 9 of Goodfellow et al, 2016
August 10 2016	Alex and Emery	Regularization for Deep Learning, Chapter 7 of Goodfellow et al, 2016 and Optimization for Training DeepModels, Chapter 8 of Goodfellow et al, 2016
July 20 2016	Heejung	Deep Feedforward Networks, Chapter 6 of Goodfellow et al, 2016
July 6 2016	Emery	ImageNet Classification with Deep Convolutional Neural Networks, Krizhevsky et al, 2012
Jun 22 2016	Emery	Learning Deep Generative Models, Ruslan Salakhutdinov, 2015