14 Aug 2017
Towards Understanding the Dynamics of Generative Adversarial Networks
In our 13th meet on Tuesday, Praneeth presented the paper titled [Towards Understanding the Dynamics of Generative Adversarial Networks](https://arxiv.org/abs/1706.09884.
Notes for the meeting are available here.
31 Jul 2017
Towards Understanding the Invertibility of Convolutional Neural Networks
In our 12th meet on Tuesday, Gauri presented the paper titled Towards Understanding the Invertibility of Convolutional Neural Networks.
Notes for the meeting will be posted here once available.
24 Jul 2017
Data Science Reading Group Seminars – Invited Talks
In our 11th meet on Friday, instead of our routine talks, we hosted invited speakers Ju Sun and Ludwig Schmidt as a part of Data Science Reading Group Seminars. Details below :
Talk 1 – 2 - 3:30 pm, Coover 3043
Speaker : Ju Sun, Postdoctoral Research Fellow at Stanford University
Title : “When Are Nonconvex Optimization Problems Not Scary?”
For more details, Click Here.
Talk 2 – 3:45 - 5:15 pm, Coover 3043
Speaker : Ludwig Schmidt, PhD student at MIT
Title : Faster Constrained Optimization via Approximate Projections (tentative)
17 Jul 2017
Stabilizing GAN Training with Multiple Random Projections
In our 10th meet on Tuesday, Viraj presented the paper titled Stabilizing GAN Training with Multiple Random Projections
Notes for the meeting are available here.
10 Jul 2017
Maximal Sparsity with Deep Networks?
In our 9th meet on Tuesday, Thanh presented the paper titled Maximal Sparsity with Deep Networks?
Notes for the meeting are available here.