Vignesh Kothapalli

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Hi :wave:, I’m a software engineer at LinkedIn Inc. working on the deep learning infrastructure. I completed my master’s in computer science at NYU Courant, advised by Prof. Joan Bruna and Prof. Jonathan Niles Weed. I obtained my bachelors degree in Electronics and Communication Engineering from IIT Guwahati.

Research: I’m interested in understanding the mathematical foundations of deep learning. My work primarily focuses on the dynamics of feature learning in neural networks and on computational techniques for training them efficiently.

Selected Publications

  1. NeurIPS
    A neural collapse perspective on feature evolution in graph neural networks
    Vignesh Kothapalli, Tom Tirer, and Joan Bruna
    Advances in Neural Information Processing Systems, 2023
    PDF
  2. ICML
    Randomized schur complement views for graph contrastive learning
    Vignesh Kothapalli
    In International Conference on Machine Learning , 2023
    PDF
  3. TMLR
    Neural Collapse: A Review on Modelling Principles and Generalization
    Vignesh Kothapalli
    Transactions on Machine Learning Research, 2023
    PDF
  4. CVPR
    Abnormal event detection on BMTT-PETS 2017 surveillance challenge
    Kothapalli Vignesh, Gaurav Yadav, and Amit Sethi
    In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops , 2017
    PDF