Kumar Ayush

PhD student, Stanford University

Researcher, Google

Joined

September 2019

Names

Kumar Ayush (Preferred)

Emails

****@adobe.com (Confirmed)

****@stanford.edu (Confirmed)

****@cs.stanford.edu (Confirmed)

****@google.com (Confirmed)

Personal Links

Career & Education History

PhD student

Stanford University (stanford.edu)

2023 – Present

Researcher

Google (google.com)

2021 – Present

MS student

Computer Science, Computer Science Department, Stanford University (cs.stanford.edu)

2019 – 2021

Undergrad student

Computer Science and Engineering, Indian Institute of Technology Kharagpur (iitkgp.ac.in)

2013 – 2017

Advisors, Relations & Conflicts

No relations added

Expertise

large language models

multimodal learning

multimodal models

2024 – Present

deep learning

computer vision

generative modeling

representation learning

self-supervision

2015 – Present

Publications

Self-supervised Learning for Incomplete Multimodal Wearable Sensor Data
Maxwell A Xu, Girish Narayanswamy, Kumar Ayush, Dimitris Spathis, Samuel Aaron Solomon, Shun Liao, Shyam A. Tailor, Ahmed Metwally, A. Ali Heydari, Yuwei Zhang, Jake Garrison, Samy Abdel-Ghaffar, Xuhai Xu, Ken Gu, Jacob Sunshine, Ming-Zher Poh, Yun Liu, Tim Althoff, Shrikanth Narayanan, Pushmeet Kohli et al. (6 additional authors not shown)
- Submitted to ICLR 2026
- Readers: Everyone
Learn Globally, Speak Locally: Bridging the Gaps in Multilingual Reasoning
Jaedong Hwang, Kumar Tanmay, Seok-Jin Lee, Ayush Agrawal, Hamid Palangi, Kumar Ayush, Ila R Fiete, Paul Pu Liang
- Submitted to ICLR 2026
- Readers: Everyone
SensorLM: Learning the Language of Wearable Sensors
Yuwei Zhang, Kumar Ayush, Siyuan Qiao, A. Ali Heydari, Girish Narayanswamy, Maxwell A Xu, Ahmed Metwally, Jinhua Xu, Jake Garrison, Xuhai Xu, Tim Althoff, Yun Liu, Pushmeet Kohli, Jiening Zhan, Mark Malhotra, Shwetak Patel, Cecilia Mascolo, Xin Liu, Daniel McDuff, Yuzhe Yang
- NeurIPS 2025 poster
- Readers: Everyone
RADAR: Benchmarking Language Models on Imperfect Tabular Data
Ken Gu, Zhihan Zhang, Kate Lin, Yuwei Zhang, Akshay Paruchuri, Hong Yu, Mehran Kazemi, Kumar Ayush, A. Ali Heydari, Maxwell A Xu, Yun Liu, Ming-Zher Poh, Yuzhe Yang, Mark Malhotra, Shwetak Patel, Hamid Palangi, Xuhai Xu, Daniel McDuff, Tim Althoff, Xin Liu
- NeurIPS 2025 Datasets and Benchmarks Track poster
- Readers: Everyone
Scaling Wearable Foundation Models
Girish Narayanswamy, Xin Liu, Kumar Ayush, Yuzhe Yang, Xuhai Xu, shun liao, Jake Garrison, Shyam A. Tailor, Jacob Sunshine, Yun Liu, Tim Althoff, Shrikanth Narayanan, Pushmeet Kohli, Jiening Zhan, Mark Malhotra, Shwetak Patel, Samy Abdel-Ghaffar, Daniel McDuff
- ICLR 2025 Poster
- Readers: Everyone
Efficient Conditional Pre-training for Transfer Learning
Shuvam Chakraborty, Burak Uzkent, Kumar Ayush, Kumar Tanmay, Evan Sheehan, Stefano Ermon
- 2022 (modified: 25 Apr 2023)
- CVPR Workshops 2022
- Readers: Everyone
Efficient Poverty Mapping from High Resolution Remote Sensing Images
Kumar Ayush, Burak Uzkent, Kumar Tanmay, Marshall Burke, David B. Lobell, Stefano Ermon
- 2021 (modified: 09 Sept 2021)
- AAAI 2021
- Readers: Everyone
Negative Data Augmentation
Abhishek Sinha, Kumar Ayush, Jiaming Song, Burak Uzkent, Hongxia Jin, Stefano Ermon
- 2021 (modified: 22 Nov 2022)
- ICLR 2021
- Readers: Everyone
Geography-Aware Self-Supervised Learning
Kumar Ayush, Burak Uzkent, Chenlin Meng, Kumar Tanmay, Marshall Burke, David B. Lobell, Stefano Ermon
- 2021 (modified: 25 Apr 2023)
- ICCV 2021
- Readers: Everyone
Negative Data Augmentation
Abhishek Sinha, Kumar Ayush, Jiaming Song, Burak Uzkent, Hongxia Jin, Stefano Ermon
- Published: 12 Jan 2021, Last Modified: 12 Oct 2025
- ICLR 2021 Poster
- Readers: Everyone

View all 30 publications

Co-Authors

View all 87 co-authors