Publications: 'Locally Robust Alignment Between Distinct Spaces' (Stat, 2025); 'Information Preservation with Wasserstein Autoencoders: Generation Consistency and Adversarial Robustness' (Statistics and Computing, 2025); 'Lost in Translation: GANs' Inability to Generate Simple Probability Distributions' (ICLR Tiny Papers Track, 2024), etc.
Research Experience
Senior Research Fellow at Indian Statistical Institute, Kolkata; Organizing committee member of the Winter School on Deep Learning, hosted annually by the Machine Learning Research Group.
Education
PhD: Theoretical Statistics and Mathematics Unit at Indian Statistical Institute (ISI) Kolkata, advised by Prof. Swagatam Das and Prof. Probal Chaudhuri; MSc in Statistics from the Indian Institute of Technology, Kanpur (IITK).
Background
Research Interests: statistical learning theory and high-dimensional statistics. Recent work includes topics such as optimal transport, deep generative models, robust statistics, and the theory of attention. Some of his recent work is motivated by problems arising in computer vision and shape matching.
Miscellany
Contact: Email - chakrabarty.anish@gmail.com, Office address - 203 B. T. Road, Indian Statistical Institute Kolkata 700108