Simon Kornblith

Member of the Technical Staff, Pretraining, Anthropic

Joined

January 2018

Names

Simon Kornblith (Preferred)

Emails

****@google.com (Confirmed)

****@simonster.com (Confirmed)

****@anthropic.com (Confirmed)

Personal Links

Google Scholar

DBLP

Career & Education History

Member of the Technical Staff

Pretraining, Anthropic (anthropic.com)

2023 – Present

Research Scientist

Google Brain, Google (google.com)

2018 – 2023

Brain Resident

Google Brain, Google (google.com)

2017 – 2018

PhD Student

Brain & Cognitive Sciences, Massachusetts Institute of Technology (mit.edu)

2010 – 2017

Undergrad Student

Engineering & Applied Science, California Institute of Technology (caltech.edu)

2006 – 2010

Advisors, Relations & Conflicts

PhD Advisor

Earl Miller

2011 – 2017

Expertise

large language model training

2023 – Present

vision language models

2023 – Present

deep learning

2017 – Present

representation learning

2017 – Present

transfer learning

2017 – Present

analysis of neural network representations

2017 – Present

neuroscience

2006 – Present

Publications

Getting aligned on representational alignment
Ilia Sucholutsky, Lukas Muttenthaler, Adrian Weller, Andi Peng, Andreea Bobu, Been Kim, Bradley C. Love, Christopher J Cueva, Erin Grant, Iris Groen, Jascha Achterberg, Joshua B. Tenenbaum, Katherine M. Collins, Katherine Hermann, Kerem Oktar, Klaus Greff, Martin N Hebart, Nathan Cloos, Nikolaus Kriegeskorte, Nori Jacoby et al. (13 additional authors not shown)
- Accepted by TMLR
- Readers: Everyone
Objective drives the consistency of representational similarity across datasets
Laure Ciernik, Lorenz Linhardt, Marco Morik, Jonas Dippel, Simon Kornblith, Lukas Muttenthaler
- ICML 2025 poster
- Readers: Everyone
When does perceptual alignment benefit vision representations?
Shobhita Sundaram, Stephanie Fu, Lukas Muttenthaler, Netanel Yakir Tamir, Lucy Chai, Simon Kornblith, Trevor Darrell, Phillip Isola
- NeurIPS 2024 poster
- Readers: Everyone
Training Language Models on the Knowledge Graph: Insights on Hallucinations and Their Detectability
Jiri Hron, Laura A Culp, Gamaleldin Fathy Elsayed, Rosanne Liu, Jasper Snoek, Simon Kornblith, Alex Rizkowsky, Isabelle Simpson, Jascha Sohl-Dickstein, Noah Fiedel, Aaron T Parisi, Alexander A Alemi, Azade Nova, Ben Adlam, Bernd Bohnet, Gaurav Mishra, Hanie Sedghi, Izzeddin Gur, Jaehoon Lee, John D Co-Reyes et al. (11 additional authors not shown)
- COLM
- Readers: Everyone
On the Relationship Between Explanation and Prediction: A Causal View
Amir-Hossein Karimi, Krikamol Muandet, Simon Kornblith, Bernhard Schölkopf, Been Kim
- NeurIPS XAIA 2023
- Readers: Everyone
Small-scale proxies for large-scale Transformer training instabilities
Mitchell Wortsman, Peter J Liu, Lechao Xiao, Katie E Everett, Alexander A Alemi, Ben Adlam, John D Co-Reyes, Izzeddin Gur, Abhishek Kumar, Roman Novak, Jeffrey Pennington, Jascha Sohl-Dickstein, Kelvin Xu, Jaehoon Lee, Justin Gilmer, Simon Kornblith
- ICLR 2024 oral
- Readers: Everyone
Synthetic Data from Diffusion Models Improves ImageNet Classification
Shekoofeh Azizi, Simon Kornblith, Chitwan Saharia, Mohammad Norouzi, David J. Fleet
- Accepted by TMLR
- Readers: Everyone
Does progress on ImageNet transfer to real-world datasets?
Alex Fang, Simon Kornblith, Ludwig Schmidt
- NeurIPS 2023 Datasets and Benchmarks Poster
- Readers: Everyone
Improving neural network representations using human similarity judgments
Lukas Muttenthaler, Lorenz Linhardt, Jonas Dippel, Robert A. Vandermeulen, Katherine Hermann, Andrew Kyle Lampinen, Simon Kornblith
- NeurIPS 2023 poster
- Readers: Everyone
Classifier-free guidance makes image captioning models more descriptive
Simon Kornblith, Lala Li, Zirui Wang, Thao Nguyen
- Published: 06 Mar 2023, Last Modified: 01 May 2023
- MRL 2023
- Readers: Everyone

View all 90 publications

Co-Authors

View all 197 co-authors