Curriculum Vitae

The detailed PDF verison of my CV can be found here - Curriculum Vitae

Research Interests

I seek to solve problems involving (a) proposing new algorithms involving large scale optimization and (b) mathematical analysis of deep learning algorithms using Probability Theory and High Dimensional Statistics.

Publications

Learning and Generalization in RNNs - Neural Information Processing Systems (NeurIPS), 2021

Effect of Activation Functions on the Training of Overparametrized Neural Nets - International Conference on Learning Representations (ICLR), 2020 [paper]

Word2Sense: Sparse Interpretable Word Embeddings - Association for Computational Linguistics (ACL), 2019 [paper] [bib]

Education

• B.Tech. in Computer Science and Engineering, 2014 - 18, Indian Institute of Technology Kharagpur
  CGPA - 9.90/10 (Major GPA - 10/10), Institute Rank: 1 (out of 1400 students).

Work experience

• July 2018 - July 2020 (Expected): Research Fellow
  • Microsoft Research Lab - India
  • Mentors: Dr. Harsha Vardhan Simhadri and Dr. Navin Goyal
  • Project group: Algorithms and Data Sciences
• Summer 2016: Summer Research Intern
  • University of Southern California
  • Supervisor: Dr. C.-C. Jay Kuo
  • Project: Analysis on Gradient Propagation in Batch Normalized Residual Networks

Projects

Learning and Generalization in RNNs
Non-Gaussianity of Stochastic Gradient Noise (Ongoing)
Effect of Activation Functions on the Training of Overparametrized Neural Nets
Word2Sense:Sparse Iterpretable Word Embeddings
Regularization of GANs (BTech Thesis)
DeepTagRec: A Content-cum-User Based Tag Recommendation Framework for Stack Overflow
Analysis on Gradient Propagation in Batch Normalized Residual Networks
Voxel Illumination and Ray Casting
Analyzing Social Book Reading Behavior on Goodreads and How It Predicts Amazon Best Sellers
National Digital Library project