Scholar
Deep Chakraborty
Google Scholar ID: Ld6-470AAAAJ
Ph.D. candidate in Computer Science, UMass Amherst
Citations & Impact
Citations
342
H-index
5
i10-index
5
Publications
7
Co-authors
12
list available
Publications
Resume (English only)
Academic Achievements
- Published 'Radial-VCReg: More Informative Representation Learning through Radial Gaussianization' at NeurIPS 2025 Workshop on Unifying Representations in Neural Models; 'Improving Pre-trained Self-Supervised Embeddings Through Effective Entropy Maximization' at AISTATS 2025; 'Squeezing Water from a Stone: Improving Pre-trained Self-Supervised Embeddings Through Effective Entropy Maximization' at NeurIPS 2024 Workshop on Self-Supervised Learning - Theory and Practice; 'Self-Supervised Learning to Guide Scientifically Relevant Terrain Categorization in Martian Terrain Images' at IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) 2022; 'Nonparallel emotional speech conversion' at Annual Conference of the International Speech Communication Association (INTERSPEECH) 2019; 'Pedestrian Detection in Thermal Images using Saliency Maps' at IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) 2019.
Research Experience
- Completed two research internships at Apple and one at Philips Lighting Research, working on topics ranging from scene understanding to audio processing.
Education
- Ph.D. Candidate, UMass Amherst, Manning College of Information & Computer Sciences, Advisor: Erik Learned-Miller.
Background
- Research interests include machine learning (self-supervised learning, unsupervised learning, information theory) and computer vision (scene understanding, object detection, tracking). A Ph.D. candidate at the Manning College of Information & Computer Sciences, UMass Amherst, supervised by Erik Learned-Miller. Has also worked with Mario Parente from RHOgroup and Ina Fiterau from InfoFusion lab.
Miscellany
- In free time, loves experimenting with coffee brewing techniques (inspired by James Hoffman), going on long rides on his road bike, and listening to classic rock music (big fan of Queen).
