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Sharut Gupta

I am a second year Ph.D student at MIT CSAIL advised by Prof. Stefanie Jegelka. I received my Bachelor's and Master's degree (Dual) in Mathematics and Computing from the Indian Institute of Technology, Delhi. Previously I've had the opportunity to intern at Meta AI, Google Research, Microsoft Research and MILA.

My research interests broadly lie in self supervised learning, robustness and out-of-distribution generalization. I seek to investigate mechanisms that enable the learning of representations that not only capture richer structural relationships in unlabeled data but are also interpretable and can efficiently adapt to unseen data distributions.

I am always happy to discuss new research directions and am open to both collaborating/advising students (not restricted to MIT). So if you're interested to work on fundamentals of self supervised learning and robustness under distribution shifts, feel free to reach out to me!

What's New

Publications

Google Scholar

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Context is Environment
Sharut Gupta, Stefanie Jegelka, David Lopez-Paz, Kartik Ahuja
International Conference on Learning Representations (ICLR) 2024
NeurIPS: Distribution Shifts - New Frontiers with Foundation Models 2023
NeurIPS: Robustness of zero/few-shot learning in foundation models (R0-FoMo) 2023
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Structuring Representation Geometry with Rotationally Equivariant Contrastive Learning
Sharut Gupta, Joshua Robinson, Derek Lim, Soledad Villar, Stefanie Jegelka
International Conference on Learning Representations (ICLR) 2024
ICML: Topology, Algebra, and Geometry in Machine Learning (TAG-ML) 2023
NeurIPS: Self-Supervised Learning - Theory and Practice 2023
Workshop | Code
Image Description
Removing Biases from Molecular Representations via Information Maximization
Chenyu Wang, Sharut Gupta, Caroline Uhler, Tommi Jaakkola
International Conference on Learning Representations (ICLR) 2024
NeurIPS: New Frontiers of AI for Drug Discovery and Development 2023
Workshop
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Collaborative privacy-preserving approaches for distributed deep learning using multi-institutional data
Sharut Gupta, Sourav Kumar, Ken Chang, Charles Lu, Praveer Singh, Jayashree Kalpathy-Cramer
Radiological Society of North America (RSNA): RadioGraphics 2023
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Minimizing Client Drift in Federated Learning via Adaptive Bias Estimation
Farshid Varno, Laya Rafiee, Sharut Gupta, Stan Matwin, Mohammad Havaei
European Conference on Computer Vision (ECCV) 2022
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FL Games: A federated learning framework for distribution shifts    ORAL  
Sharut Gupta, Kartik Ahuja, Mohammad Havaei, Niladri Chatterjee, Yoshua Bengio
NeurIPS: Federated Learning -- Recent Advances and New Challenges 2022
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Addressing catastrophic forgetting for medical domain expansion
Sharut Gupta, Praveer Singh, Ken Chang, Liangqiong Qu et al.
NeurIPS: Machine Learning for Health (Spotlight) 2021
Video | Code
More Publications
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Work Experience


Research Intern, Meta AI
David Lopez-Paz, Kartik Ahuja
June 2023 - August 2023
Research Intern, Mila - Quebec AI Institute
Prof. Yoshua Bengio
Sept 2021 - May 2022
Software Engineering Intern, Google Research
Dr. Sriram Lakshminarasimhan, Narayan Hegde
May 2021 - July 2021
Research Intern, Microsoft Research and Development
Dr. Mithun Das Gupta
May 2020 - July 2020
Research Intern, Quantitative Translational Imaging in Medicine (QTIM) Lab
Prof. Jayashree Kalpathy Cramer
Jan 2020 - May 2021
Research Intern, INRIA
Prof. Paul Muhlethaler, Prof. Samia Bouzefrane
May 2019 - July 2019

Creative Coding

Disclaimer: I'm a novice to generative art, and I'm still finding my feet. But I think I’m learning and having fun. In case you find something cool and interesting, or are looking forward to collaborating, please feel free to get in touch with me! It would really mean a lot :)
Here are a few of my attempts at generative art using p5js.

Projects

3D Rendered Ping-Pong Game

IIT Delhi - Computer Vision
Project Partner: Harkirat Singh Dhanoa
  • Using multiple views of chessboard, estimated the camera caliberation matrix
  • Rendered a 3D augmented reality object (ball and animals) over the chessboard
  • Used video input from webcam, two visual markers as paddles reflecting the ball off the plane using laws of reflection
October 2019 - November 2019

CovidNet: Segmenting COVID-19 abnormalities

QTIM Lab - Deep Learning
  • Developed a CT segmentation algorithm that estimates the extent of abnormality in chest CTs from COVID-19 patients
  • Achieved a dice score of 0.71 on the test set with Intra-Class Correlation and Spearman coefficient as 0.99 and 0.98
March 2020 - March 2020

My Exam Scribe

International Women’s Hackathon - Software Development
Project Partner: Sakshi Taparia

Project Presentation:    

  • Built a mobile application on top of the Google Assistant using Dialogflow, Webhook and Firebase Cloud Database
  • Enabled visually impaired to write exams without the use of human scribes by reading questions and storing answers
March 2019 - May 2019

Honors

Sinha Presidential Fellowship | awarded to ~100 most outstanding students worldwide to pursue graduate studies at MIT
2022
Prof. D.S. Varma Award | for obtaining highest GPA amongst all graduating UG female students, IIT Delhi
2022
Suman Upma Gupta Memorial Award | for obtaining highest GPA amongst all UG/PG graduating female students, IIT Delhi
2022
Suyash Chandra Memorial Award | for the best UG project among all graduating student in the department, IIT Delhi
2022
Research and Innovative Project Award | first prize for the best ongoing research project by IIT Delhi Alumni Association
2021
Quadeye Excellence Scholarship | among top 50 students nationwide who were awarded the Quadeye Excellence Scholarship
2021
Kishore Vaigyanik Protsahan Yojana (KVPY) | awarded with the KVPY fellowship by IISc for exceptional aptitude in Science
2017
Indian National Mathematics Olympiad (INMO) | 34th amongst top 800 students who qualified for INMO
2016
Class XII National Standing | for nationwide top 1% in Mathematics and Chemistry examinations in CBSE XII
2015

Research Outreach and Leadership

Research Outreach

WiDS Cambridge Datathon | co-organizer of the WiDS Cambridge Datathon as a part of the global WiDS Conference Datathon
2023
ML Tea, MIT | co-organizer of ML Tea, a weekly seminar series from members of the machine learning community around MIT
2023
The Gradient | editor for biweekly newsletter covering recent AI news and research at the Gradient substack.
2023
NeurIPS | recieved the volunteer award to help organize the NeurIPS conference.
2022

Teaching

Instructor, Mysteries of the Hilbert's Hotel, Splash MIT
Taught a class on the Mysteries of Hilbert's Infinite Hotel ("Room" for thought!) to a class of 100 high school students. The slides for the class are available here

2023
Undergraduate Teaching Assistant, Differential Equations
Systems of differential equations, Existence and uniqueness theorems for initial value problems of semilinear and nonlinear ODEs, continuous dependence and well-posed ness; Comparison theorems of Sturms, Sturm-Liouville eigenvalue problems; Phase-plane analysis, Linear and Non-linear stability, Liapunov functions and applications;First order Partial differential equations, Method of characteristics, local and global solutions, envelop of solutions, complete and general solutions; Second order equations: Heat and Wave equation, fundamental solutions, method of eigenfunctions, Duhamel’s principle. Maximum priciples for Heat and Laplace equation,Greens functions.

2021
Undergraduate Teaching Assistant, Analysis and Design of algorithms
Models of computation: RAM and Turing Machines; Algorithm Analysis techniques; Basic techniques for designing algorithms: dynamic programming, divide-and-conquer and Greedy; DFS , BFS and their applications; Some Basic Graph Algorithms; linear time sorting algorithms; NP-Completeness and Approximation Algorithms.

2021
Undergraduate Teaching Assistant, Probability and Stochastic Processes
Axioms of probability, Probability space, Conditional probability, Independence, Bayes’ rule, Random variable, Some common discrete and continuous distributions, Distribution of Functions of Random Variable, Moments, Generating functions, Two and higher dimensional distributions, Functions of random variables, Order statistics, Conditional distributions, Covariance, Correlation coefficient, conditional expectation, Modes of convergences, Laws of large numbers, Central limit theorem, Definition of Stochastic process, Classification and properties of stochastic processes, Simple Markovian stochastic processes, Gaussian processes, Stationary processes, Discrete and continuous time Markov chains, Classification of states, Limiting distribution, Birth and death process, Poisson process, Steady state and transient distributions, Simple Markovian queuing models (M/M/1, M/M/1/N, M/M/c/N, M/M/N/N, M/M/∞).

2020

Social Engagements & Leadership

Session Chair, ACM SIGKDD
Chaired the session on Responsible AI as a part of 'Data Science in India', an ACM SIGKDD India Chapter event. More information about this event is available here.

2022
Deputy General Secretary Mentorship, Board for Student Welfare (BSW), IIT Delhi
  • Initialised an auxiliary program to tackle crucial issues of substance abuse, intellectual plagiarism and language issues
  • Co-established the Office of Accessible Education (OAE) providing special assistance for the disabled community
  • Founded research mentorship and journal club at IIT Delhi, which is dedicated towards fostering student research
More information about the board is available here.

2020-2021
Student Representative, IIT Delhi Strategy and Vision Document 2030 Implementation Committee
The IIT Delhi Endowment Fund was launched by the Honourable President of India in 2019, backed by an initial commitment of INR 250 crore by alumni, with a stated goal of raising USD 1 billion over a period of time. Subsequently, IIT Delhi initiated the development of its vision and direction for 2030, with a focus to build and use the Endowment Fund towards achieving these goals. More details can be found here.

2020-2021
Core Team Member, Initiative for Gender Equity and Sensitisation (IGES), IIT Delhi
Initiative for Gender Equity and Sensitisation (IGES), under Indian Institute of Technology, Delhi, aims to create a safe and violence-free educational atmosphere for all, irrespective of diversities in identities of gender, sex, caste, class, ethnicity, language, race, disability and sexual orientation. IGES also advocates a zero tolerance policy against sexual harassment. More information can be found here.

2020-2021
Captain, National Baseball Championship
2016