Research Highlights

Some recent exciting news from our research group!!
Our paper "On Translation and Reconstruction Guarantees of the Cycle-Consistent Generative Adversarial Networks" has just been accepted accepted to the NeurIPS 2022.


Our paper "GridShift: A Faster Mode-seeking Algorithm for Image Segmentation and Object Tracking" has just been accepted to the IEEE CVPR 2022 conference.

Both of our papers submitted to the NeurIPS 2021 (Thirty-fifth Conference on Neural Information Processing Systems) conference got acceptance for Spotight presentation!!

Congratuations to Swagatam Das, Anish, Saptarshi, and Debolina.

Our Research

Our contributions as part of the Machine Learning Research Group (MLRG) can be broadly categorized into theoretical analysis and applications of Machine Learning. Our research articles regularly find their rightful places in top-tier venues such as AAAI, IEEE TPAMI, IEEE TNNLS, ICCV, NeurIPS, CVPR, AISTATS, etc. The impact of our publications is further evident by the 2000+ times they are cited over recent years.

Primary Research Interests

Building Theoretical Backbone of Machine Learning Algorithms:

Following the fabled quote “There is nothing more practical than a good theory” by Lewin, we at MLRG are dedicated to investing our statistical knowledge in building the theoretical foundations of classical and emerging machine learning algorithms.

Machine Learning Algorithms in Applications of Importance:

We at MLRG believe in applying our expertise in Machine Learning to regularly develop applications that positively impact the livelihood of society and provide artificially intelligent solutions to nationally important problems.

Our Publications

Please visit the Google Scholar page of our faculty member Swagatam Das for a detailed list of our publications. Here we are only presenting our latest works done over the past year.
You can also find implementations in MatLab or Python for many of these works in the GitHub profiles of mlrgisi, Sankha Subhra Mullick, and Shounak Datta.

Our Members

Faculty Member

Swagatam Das

Associate Professor
Electronics and Communication Sciences Unit
Indian Statistical Institute

Senior Research Fellow

Avisek Gupta

Senior Research Fellow
Electronics and Communication Sciences Unit
Indian Statistical Institute

Susmita Ghosh

Senior Research Fellow
Electronics and Communication Sciences Unit
Indian Statistical Institute

Turbasu Biswas

Senior Research Fellow
Electronics and Communication Sciences Unit
Indian Statistical Institute

Anish Chakrabarty

Senior Research Fellow
Statistics and Mathematics Unit
Indian Statistical Institute

Kushal Bose

Senior Research Fellow
Electronics and Communication Sciences Unit
Indian Statistical Institute

Faizanuddin Ansari

Senior Research Fellow
Electronics and Communication Sciences Unit
Indian Statistical Institute

Graduate Students



Alumni & Adjunct members

Shounak Datta
Senior Research Engineer, ARM Inc., Austin TX, USA

Sankha Subhra Mullick
Applied Reserach Engineer, LinkedIn, India

Abhishek Kumar
PostDoc in Department of AI at Kyungpook National University, Daegu

Arkajyoti Saha
Postdoctoral researcher, Statistics, University of Washington

Saptarshi Chakraborty
PhD Candidate, Department of Statistics, University of California, Berkeley

Debolina Paul
PhD Candidate, Department of Statistics, Standford University

Imon Banerjee
PhD Candidate, Purdue Department of Statistics.

Sayantan Kumar
PhD Candidate, Deaprtment of Computer Science & Engineering, Washington University in St. Louis.

Arka Ghosh
Assistant Professor, Bennett University, India


Developed by Sankha Subhra Mullick, over the Hydeout project, on 29th of January, 2020.