Mark Sandler

Research Scientist, Google

Joined

December 2016

Names

Mark Sandler (Preferred)

Emails

****@gmail.com (Confirmed)

Personal Links

Career & Education History

Research Scientist

Google (google.com)

2006 – Present

PhD student

Cornell University (cornell.edu)

2000 – 2006

Advisors, Relations & Conflicts

PhD Advisor

2000 – 2006

Expertise

Deep learning

2016 – 2020

Computer Vision

2016 – 2020

Publications

Robust Training of Neural Networks at Arbitrary Precision and Sparsity
Chengxi Ye, Grace Chu, Yanfeng Liu, Yichi Zhang, Lukasz Lew, Li Zhang, Mark Sandler, Andrew G. Howard
- ICLR 2026 Poster
- Readers: Everyone
Long Context In-Context Compression by Getting to the Gist of Gisting
Max Vladymyrov, Aleksandar Petrov, Mark Sandler, Andrey Zhmoginov, Nolan Andrew Miller
- OpenReview Archive Direct Upload
- Readers: Everyone
How new data pollutes LLM knowledge and how to dilute it
Chen Sun, Renat Aksitov, Andrey Zhmoginov, Nolan Andrew Miller, Max Vladymyrov, Ulrich Rueckert, Been Kim, Mark Sandler
- SafeGenAi Poster
- Readers: Everyone
How new data permeates LLM knowledge and how to dilute it
Chen Sun, Renat Aksitov, Andrey Zhmoginov, Nolan Andrew Miller, Max Vladymyrov, Ulrich Rueckert, Been Kim, Mark Sandler
- ICLR 2025 Spotlight
- Readers: Everyone
Contextually Guided Transformers via Low-Rank Adaptation
Andrey Zhmoginov, Jihwan Lee, Max Vladymyrov, Mark Sandler
- Submitted to ICLR 2025
- Readers: Everyone
Narrowing the Focus: Learned Optimizers for Pretrained Models
Gus Kristiansen, Mark Sandler, Andrey Zhmoginov, Nolan Andrew Miller, Anirudh Goyal, Jihwan Lee, Max Vladymyrov
- Submitted to ICLR 2025
- Readers: Everyone
Projectable Models: One-Shot Generation of Small Specialized Transformers from Large Ones
Andrey Zhmoginov, Jihwan Lee, Mark Sandler
- ES-FoMo-II 2024 Poster
- Readers: Everyone
Efficient Linear System Solver with Transformers
Max Vladymyrov, Johannes von Oswald, Nolan Andrew Miller, Mark Sandler
- ICML 2024 Workshop AI4MATH Poster
- Readers: Everyone
Learning and Unlearning of Fabricated Knowledge in Language Models
Chen Sun, Nolan Andrew Miller, Andrey Zhmoginov, Max Vladymyrov, Mark Sandler
- ICML 2024 MI Workshop Spotlight
- Readers: Everyone
Linear Transformers are Versatile In-Context Learners
Max Vladymyrov, Johannes von Oswald, Mark Sandler, Rong Ge
- ICML 2024 Workshop ICL Poster
- Readers: Everyone

View all 26 publications

Co-Authors

View all 41 co-authors