Vahab Mirrokni

VP, Google Fellow, Google Research, Google Research

Joined

May 2021

Names

Vahab Mirrokni (Preferred)

Emails

****@google.com (Confirmed)

****@gmail.com (Confirmed)

Personal Links

Homepage

Google Scholar

DBLP

Career & Education History

VP, Google Fellow

Google Research, Google Research (google.com)

2008 – Present

Advisors, Relations & Conflicts

No relations added

Expertise

Economics and Computation

Present

Graph-based Learning

Present

ML Optimization

Present

GenAI Data

Present

ML artichecture and LLM Modeling

Present

Data Mining and Clustering at Scale

Present

Publications

Data Selection for Fine-tuning Vision Language Models via Cross Modal Alignment Trajectories
Dang Nguyen, Nilay Naharas, Neslihan Bulut, Mohammadhossein Bateni, Vahab Mirrokni, Baharan Mirzasoleiman
- ICLR 2026 Workshop DATA-FM
- Readers: Everyone
Evaluation-Conditioned Trojan Attack
Zihan Zhu, Hanlin Zhang, Giovanni D'Antonio, Anton Tsitsulin, Sham M. Kakade, Vahab Mirrokni
- ICLR 2026 Workshop ICBINB
- Readers: Everyone
PolarQuant: Vector Quantization with Polar Transformation
Insu Han, Praneeth Kacham, Amin Karbasi, Vahab Mirrokni, Amir Zandieh
- AISTATS 2026 Poster
- Readers: Everyone
ZipMoE: A Theoretically-Grounded Mixture of Experts Approach forParameter-Efficient Deep Learning
Lin Chen, Kyriakos Axiotis, Gang Fu, Kaiyuan Wang, Mohammadhossein Bateni, Vahab Mirrokni
- AISTATS 2026 Poster
- Readers: Everyone
ATLAS: Learning to Optimally Memorize the Context at Test Time
Ali Behrouz, Zeman Li, Praneeth Kacham, Majid Daliri, Yuan Deng, Peilin Zhong, Meisam Razaviyayn, Vahab Mirrokni
- OpenReview Archive Direct Upload
- Readers: Everyone
Memory Caching: RNNs with Growing Memory
Ali Behrouz, Zeman Li, Yuan Deng, Peilin Zhong, Meisam Razaviyayn, Vahab Mirrokni
- Submitted to ICLR 2026
- Readers: Everyone
TNT: Improving Chunkwise Training for Test-Time Memorization
Zeman Li, Ali Behrouz, Yuan Deng, Peilin Zhong, Praneeth Kacham, Mahdi Karami, Meisam Razaviyayn, Vahab Mirrokni
- ICLR 2026 Poster
- Readers: Everyone
Data Selection and Active Learning via Low-Rank Approximation
Vincent Cohen-Addad, Sasidhar Kunapuli, Vahab Mirrokni, Mahdi Nikdan, David Woodruff, Samson Zhou
- ICLR 2026 Conference Withdrawn Submission
- Readers: Everyone
Language Models Need Sleep: Learning to Self Modify and Consolidate Memories
Ali Behrouz, Farnoosh Hashemi, Vahab Mirrokni
- Submitted to ICLR 2026
- Readers: Everyone
Shared Embedding Optimization: A Two-Stage Approach for Efficient and Effective Feature Embedding
Lin Chen, Kaiyuan Wang, Matthew Fahrbach, Xing Gao, Kyriakos Axiotis, Gang Fu, Mohammadhossein Bateni, Vahab Mirrokni
- ICLR 2026 Conference Withdrawn Submission
- Readers: Everyone

View all 416 publications

Co-Authors

View all 371 co-authors