This week, Viraj will be presenting the paper ” Solving Linear Inverse Problems Using GAN Priors: An Algorithm with Provable Guarantees” available at: https://arxiv.org/abs/1802.08406 Abstract: In recent works, both sparsity-based methods as well […]
For these two weeks, Praneeth will be presenting the paper “Robust Subspace Clustering” which is available at “https://arxiv.org/abs/1301.2603” This chalk on blackboard talk will mostly focus on the algorithm and […]
This week’s speaker for the DSRG seminar series is Rahul Singh. He will talk about Graph Convolutional Neural Networks. The abstract and references are as follows. —————————————————— Abstract: While classical […]
This week Zhanhong Jiang of Mechanical Engineering will speak about Distributed Deep Learning Algorithms. —————————————————— The abstract: The focus of this talk is towards developing novel distributed deep learning algorithms […]
This week’s speaker for the DSRG seminar series is Aditya Balu from Mechanical Engineering. ——————————— Abstract: Deep learning models are very accurate to give good prediction. However, unlike the traditional […]
Gauri Jagatap from Dr. Hegde’s research group presented the paper “Symmetry-Breaking Convergence Analysis of Certain Two-layered Neural Networks with ReLU nonlinearity”. You can find the paper here: https://openreview.net/forum?id=Hk85q85ee ————————————————- Abstract: […]
Invited talk by Dr. Chinmay Hegde of ECpE on: ————————————————- “The power of gradient descent” Many of the recent advances in machine learning can be attributed to two reasons: (i) […]
After a hiatus of about five months, we’re finally back in action this semester, with a series of exciting talks lined up! Ardhendu Tripathy, a PhD student with Dr. Aditya […]
A summary post on major themes and takeaways from NIPS 2017, by Gauri Jagatap: NIPS 2017: Themes and Takeaways (click on post title to open).
You can now find the presentation slides from our seminar series on this page. Thanks to everyone who attended!