Sarthak Kamat

I'm a first year CS PhD student at Stanford University. My work is supported by the National Science Foundation GRFP.

During my undergraduate research at UC Berkeley, I was advised by Prof. Trevor Darrell, Prof. Jitendra Malik, Prof. Anna Rohrbach, and Ilija Radosavovic.

I also spent a year at HRT, where I built deep learning models for algorithmic trading.

email: sartk at cs dot stanford dot edu

Learning Humanoid Locomotion over Challenging Terrain

Ilija Radosavovic, Sarthak Kamat, Trevor Darrell, Jitendra Malik
Humanoid Locomotion as Next Token Prediction

Ilija Radosavovic, Bike Zhang, Baifeng Shi, Jathushan Rajasegaran,
Sarthak Kamat, Trevor Darrell, Koushil Sreenath, Jitendra Malik
Surface Spherical Encoding and Contrastive Learning for Virtual Bone Shape Aging

Francesco Caliva*, Sarthak Kamat*, Alejandro Morales Martinez, Sharmila Majumdar, Valentina Pedoia

A complete list of my work can be found on Google Scholar.

In-Hand Cube Reorientation

I trained an RL policy for in-hand cube reorientation with the Allegro hand. The model gets RGB pixels in, and outputs motor actions.
Raytracing Schwarzschild Black Holes

Aseem Doriwala, Sarthak Kamat, Vincent Lim, Jeremy Ferguson

CS 184: Computer Graphics, Project Showcase Winner, 2023
NP-Hard Combinatorial Optimization

Araav Patel, Sarthak Kamat, Vincent Lim

CS 170 Fall 2021, 4th place out of 276 teams

Reader for EECS 127 (Optimization Models in Engineering), Spring 2022.
Academic Intern for CS 61A in Fall 2021, the intro CS class at UC Berkeley.
I taught machine learning to middle schoolers at public libraries in San Jose with Sahil Jain.