Yasaman Bahri

Research Scientist, Google DeepMind

Joined

October 2017

Names

Yasaman Bahri

Emails

****@google.com (Confirmed)

****@gmail.com (Confirmed)

Personal Links

Homepage

Google Scholar

Career & Education History

Research Scientist

Google DeepMind (google.com)

2018 – Present

Resident

Google Brain (google.com)

2017 – 2018

PhD student, Theoretical Physics (Quantum Condensed Matter)

University of California Berkeley (berkeley.edu)

2011 – 2017

Undergrad student (Physics, Math)

University of California Berkeley (berkeley.edu)

2006 – 2010

Advisors, Relations & Conflicts

No relations added

Expertise

Kernel methods

2018 – Present

Overparameterized neural networks

2017 – Present

Deep learning

2017 – Present

Quantum physics

2006 – 2017

Statistical Mechanics

2006 – 2017

Theoretical physics

2006 – 2017

Publications

On the Emergence of Linear Analogies in Word Embeddings
Daniel James Korchinski, Dhruva Karkada, Yasaman Bahri, Matthieu Wyart
- NeurIPS 2025 poster
- Readers: Everyone
Closed-Form Training Dynamics Reveal Learned Features and Linear Structure in Word2Vec-like Models
Dhruva Karkada, James B Simon, Yasaman Bahri, Michael R DeWeese
- NeurIPS 2025 poster
- Readers: Everyone
CURIE: Evaluating LLMs on Multitask Scientific Long-Context Understanding and Reasoning
Hao Cui, Zahra Shamsi, Gowoon Cheon, Xuejian Ma, Shutong Li, Maria Tikhanovskaya, Peter Christian Norgaard, Nayantara Mudur, Martyna Beata Plomecka, Paul Raccuglia, Yasaman Bahri, Victor V. Albert, Pranesh Srinivasan, Haining Pan, Philippe Faist, Brian A Rohr, Michael J. Statt, Dan Morris, Drew Purves, Elise Kleeman et al. (10 additional authors not shown)
- ICLR 2025 Poster
- Readers: Everyone
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Aarohi Srivastava, Abhinav Rastogi, Abhishek Rao, Abu Awal Md Shoeb, Abubakar Abid, Adam Fisch, Adam R. Brown, Adam Santoro, Aditya Gupta, Adrià Garriga-Alonso, Agnieszka Kluska, Aitor Lewkowycz, Akshat Agarwal, Alethea Power, Alex Ray, Alex Warstadt, Alexander W. Kocurek, Ali Safaya, Ali Tazarv, Alice Xiang et al. (430 additional authors not shown)
- Accepted by TMLR
- Readers: Everyone
The Evolution of Out-of-Distribution Robustness Throughout Fine-Tuning
Anders Johan Andreassen, Yasaman Bahri, Behnam Neyshabur, Rebecca Roelofs
- Accepted by TMLR
- Readers: Everyone
Explaining Scaling Laws of Neural Network Generalization
Yasaman Bahri, Ethan Dyer, Jared Kaplan, Jaehoon Lee, Utkarsh Sharma
- Published: 28 Jan 2022, Last Modified: 13 Feb 2023
- ICLR 2022 Submitted
- Readers: Everyone
The Evolution of Out-of-Distribution Robustness Throughout Fine-Tuning
Anders Johan Andreassen, Yasaman Bahri, Behnam Neyshabur, Rebecca Roelofs
- Published: 28 Jan 2022, Last Modified: 12 Oct 2025
- ICLR 2022 Submitted
- Readers: Everyone
Explaining Neural Scaling Laws
Yasaman Bahri, Jaehoon Lee, Ethan Dyer, Jared Kaplan, Utkarsh Sharma
- 13 May 2021 (modified: 13 May 2021)
- OpenReview Archive Direct Upload
- Readers: Everyone
The large learning rate phase of deep learning
Aitor Lewkowycz, Yasaman Bahri, Ethan Dyer, Jascha Sohl-Dickstein, Guy Gur-Ari
- 28 Sept 2020 (modified: 12 Oct 2025)
- ICLR 2021 Conference Blind Submission
- Readers: Everyone
The large learning rate phase of deep learning: the catapult mechanism
Aitor Lewkowycz, Yasaman Bahri, Ethan Dyer, Jascha Sohl-Dickstein, Guy Gur-Ari
- 2020 (modified: 06 Nov 2022)
- CoRR 2020
- Readers: Everyone

View all 13 publications

Co-Authors

View all 486 co-authors