I graduated from Indian Institute of Technology Madras with a B.Tech (Hons.) and a M.Tech in Electrical Engineering, and minors in Mathematics and Computing. I completed my thesis with Prof. Harish Guruprasad on generalization in deep neural networks. I also worked in the Computational Neuroscience Lab at IIT Madras. My research interests lie in applying machine learning for computer vision and multimodal content understanding.
Publications
GaussianCut: Interactive segmentation via graph cut for 3D Gaussian Splatting
, Ashkan Mirzaei, Igor Gilitschenski
NeurIPS, 2024
Satellite Sunroof: High-res Digital Surface Models and Roof Segmentation for Global Solar Mapping
Vishal Batchu, Alex Wilson, Betty Peng, Carl Elkin, , Christopher Van Arsdale, Ross Goroshin, Varun Gulshan
NeurIPS Workshop on Tackling Climate Change with Machine Learning, 2024
Detangling the role of climate in vegetation productivity with an explainable convolutional neural networks
Ricardo Barros Lourenço, Michael J Smith, Sylvia Smullin, , Alemu Gonsamo, Arthur Ouaknine
Tech Report (Climate Change and AI Summer School'23)
Multimodal contrastive learning for remote sensing tasks
, Alex Wilson, Varun Gulshan
NeurIPS Workshop on Self-Supervised Learning - Theory and Practice (SSL@NeurIPS)
Predicting the success of Gradient Descent for a particular Dataset-Architecture-Initialization (DAI)
, Harish Guruprasad
Pre-print (arXiv'21)
Convolutional elman jordan neural network for reconstruction and classification using attention window
Sweta Kumari, S Aravindakshan, , V Srinivasa Chakravarthy
Innovations in Computational Intelligence and Computer Vision (ICICV'20 )