Saachi Jain

Email: saachij AT mit DOT edu
CV (last updated March 2023): here
Google Scholar: here
Github: @scoutsaachi
Twitter: @saachi_jain_

my face


I am a fourth year PhD student in the EECS department at MIT, where I am advised by Aleksander Mądry. My current research interests are in building more robust and reliable machine learning models. In particular, my goal is to understand how modern deep learning methods represent data and to identify the biases that they create. In the past, I've worked on problems in graph theory and the analysis of time series data.

My research has been supported by the Two Sigma Diversity PhD Fellowship and the Apple Fellowship. I graduated with my BS/MS in Computer Science at Stanford, where I worked with Jure Leskovec and Matei Zaharia. Before starting at MIT, I was a Computer Vision Scientist with Tesla Autopilot.


Dataset Interfaces: Diagnosing Model Failures Using Controllable Counterfactual Generation || Blog
Joshua Vendrow*, Saachi Jain*, Logan Engstrom, Aleksander Madry.
Data-centric Machine Learning Research (DMLR) Workshop at ICML 2023

Distilling Model Failures as Directions in Latent Space || Blog
Saachi Jain*, Hannah Lawrence*, Ankur Moitra, Aleksander Madry.
International Conference on Learning Representations (ICLR) 2023, Spotlight (Top 25%)

A Data-Based Perspective on Transfer Learning || Blog
Saachi Jain*, Hadi Salman*, Alaa Khaddaj*, Eric Wong, Sung Min Park, Aleksander Madry.
Conference on Computer Vision and Pattern Recognition (CVPR) 2023

When does Bias Transfer in Transfer Learning? || Blog
Hadi Salman*, Saachi Jain*, Andrew Ilyas*, Logan Engstrom*, Eric Wong, Aleksander Madry.

Missingness Bias in Model Debugging || Blog
Saachi Jain*, Hadi Salman*, Eric Wong, Pengchuan Zhang, Vibhav Vineet, Sai Vemprala, Aleksander Madry.
International Conference on Learning Representations (ICLR) 2022

Certified Patch Robustness via Smoothed Vision Transformers || Blog
Hadi Salman*, Saachi Jain*, Eric Wong*, Aleksander Madry.
Conference on Computer Vision and Pattern Recognition (CVPR) 2022

Combining Diverse Feature Priors || Blog
Saachi Jain*, Dimitris Tsipras*, Aleksander Madry
International Conference on Machine Learning (ICML) 2022

A Mechanism for Producing Aligned Latent Spaces with Autoencoders
Saachi Jain*, Adityanarayanan Radhakrishnan*, Caroline Uhler (2021)

Spectral Lower Bounds on the I/O Complexity of Computation Graphs.
Saachi Jain and Matei Zaharia
Symposium on Parallelism in Algorithms and Architectures (SPAA) 2020

MASA: Motif-Aware State Assignment in Noisy Time Series Data
Saachi Jain, David Hallac, Rok Sosic, and Jure Leskovec
Workshop on Mining and Learning from Time Series (MiLeTS) at SIGKDD 2019

Learning to Speak and Act in a Fantasy Text Adventure Game
Jack Urbanek, Angela Fan, Siddharth Karamcheti, Saachi Jain, Samuel Humeau, Emily Dinan, Tim Rocktäschel, Douwe Kiela, Arthur Szlam, and Jason Weston
Conference on Empirical Methods in Natural Language Processing (EMNLP) 2019