Fred Zhang

Researcher, Google DeepMind

Joined

April 2021

Names

Fred Zhang (Preferred)

Emails

****@berkeley.edu (Confirmed)

****@eecs.berkeley.edu (Confirmed)

****@google.com (Confirmed)

Personal Links

Homepage

Google Scholar

DBLP

Career & Education History

Researcher

Google DeepMind (deepmind.com)

2024 – Present

PhD student

University of California Berkeley (berkeley.edu)

2019 – 2024

Advisors, Relations & Conflicts

PhD Advisor

Jelani Nelson

2018 – 2024

Expertise

algorithms

high-dimensional statistics

ML theory

Present

mechanistic interpretability

Present

Publications

Beyond the Rosetta Stone: Unification Forces in Generalization Dynamics
Carter Blum, Katja Filippova, Ann Yuan, Asma Ghandeharioun, Julian Zimmert, Fred Zhang, Jessica Hoffmann, Tal Linzen, Martin Wattenberg, Lucas Dixon, Mor Geva
- Submitted to ICLR 2026
- Readers: Everyone
ForecastBench: A Dynamic Benchmark of AI Forecasting Capabilities
Ezra Karger, Houtan Bastani, Chen Yueh-Han, Zachary Jacobs, Danny Halawi, Fred Zhang, Philip Tetlock
- ICLR 2025 Poster
- Readers: Everyone
Approaching Human-Level Forecasting with Language Models
Danny Halawi, Fred Zhang, Chen Yueh-Han, Jacob Steinhardt
- NeurIPS 2024 poster
- Readers: Everyone
Approaching Human-Level Forecasting with Language Models
Danny Halawi, Fred Zhang, Chen Yueh-Han, Jacob Steinhardt
- CoRR 2024
- Readers: Everyone
Adaptive Regret for Bandits Made Possible: Two Queries Suffice
Zhou Lu, Qiuyi Zhang, Xinyi Chen, Fred Zhang, David Woodruff, Elad Hazan
- ICLR 2024 poster
- Readers: Everyone
Towards Best Practices of Activation Patching in Language Models: Metrics and Methods
Fred Zhang, Neel Nanda
- ICLR 2024 poster
- Readers: Everyone
On Robust Streaming for Learning with Experts: Algorithms and Lower Bounds
David Woodruff, Fred Zhang, Samson Zhou
- NeurIPS 2023 poster
- Readers: Everyone
Constant Approximation for Individual Preference Stable Clustering
Anders Aamand, Justin Y. Chen, Allen Liu, Sandeep Silwal, Pattara Sukprasert, Ali Vakilian, Fred Zhang
- NeurIPS 2023 spotlight
- Readers: Everyone
Minimum Cut and Minimum k-Cut in Hypergraphs via Branching Contractions
Kyle Fox, Debmalya Panigrahi, Fred Zhang
- Published: 01 Jan 2023, Last Modified: 27 Jan 2024
- ACM Trans. Algorithms 2023
- Readers: Everyone
Robust Algorithms on Adaptive Inputs from Bounded Adversaries
Yeshwanth Cherapanamjeri, Sandeep Silwal, David P. Woodruff, Fred Zhang, Qiuyi Zhang, Samson Zhou
- 2023 (modified: 24 Apr 2023)
- CoRR 2023
- Readers: Everyone

View all 29 publications

Co-Authors

View all 52 co-authors