George Stein

Machine Learning Scientist, Layer6 AI

Joined

April 2023

Names

George Stein (Preferred)

Emails

****@gmail.com (Confirmed)

****@layer6.ai (Confirmed)

Personal Links

Homepage

DBLP

ORCID

Career & Education History

Machine Learning Scientist

Layer6 AI (layer6.ai)

2022 – Present

Postdoc

University of California, Berkeley (berkeley.edu)

2019 – 2022

PhD student

University of Toronto (utoronto.ca)

2014 – 2019

Advisors, Relations & Conflicts

No relations added

Expertise

Self-supervised Learning

2019 – Present

Generative Model Evaluation

2019 – Present

Publications

Exploring the non-Gaussianity of the cosmic infrared background and its weak gravitational lensing
Jaemyoung Lee, J. Richard Bond, Pavel Motloch, Alexander van Engelen, George Stein
- Monthly Notices of the Royal Astronomical Society
- Readers: Everyone
A Geometric Framework for Understanding Memorization in Generative Models
Brendan Leigh Ross, Hamidreza Kamkari, Tongzi Wu, Rasa Hosseinzadeh, Zhaoyan Liu, George Stein, Jesse C. Cresswell, Gabriel Loaiza-Ganem
- ICLR 2025 Spotlight
- Readers: Everyone
A Geometric Framework for Understanding Memorization in Generative Models
Brendan Leigh Ross, Hamidreza Kamkari, Zhaoyan Liu, Tongzi Wu, George Stein, Gabriel Loaiza-Ganem, Jesse C. Cresswell
- ICML 2024 Workshop GRaM
- Readers: Everyone
A Geometric Framework for Understanding Memorization in Generative Models
Brendan Leigh Ross, Hamidreza Kamkari, Zhaoyan Liu, Tongzi Wu, George Stein, Gabriel Loaiza-Ganem, Jesse C. Cresswell
- NextGenAISafety 2024 Poster
- Readers: Everyone
Benchmarking Robust Self-Supervised Learning Across Diverse Downstream Tasks
Antoni Kowalczuk, Jan Dubiński, Atiyeh Ashari Ghomi, Yi Sui, George Stein, Jiapeng Wu, Jesse C. Cresswell, Franziska Boenisch, Adam Dziedzic
- ICML 2024 FM-Wild Workshop Poster
- Readers: Everyone
Self-supervised Representation Learning from Random Data Projectors
Yi Sui, Tongzi Wu, Jesse Cresswell, Ga Wu, George Stein, Xiao Shi Huang, Xiaochen Zhang, Maksims Volkovs
- TRL @ NeurIPS 2023 Oral
- Readers: Everyone
TabPFGen – Tabular Data Generation with TabPFN
Junwei Ma, Apoorv Dankar, George Stein, Guangwei Yu, Anthony Caterini
- TRL @ NeurIPS 2023 Oral
- Readers: Everyone
Self-supervised Representation Learning from Random Data Projectors
Yi Sui, Tongzi Wu, Jesse C. Cresswell, Ga Wu, George Stein, Xiao Shi Huang, Xiaochen Zhang, Maksims Volkovs
- ICLR 2024 poster
- Readers: Everyone
Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion models
George Stein, Jesse C. Cresswell, Rasa Hosseinzadeh, Yi Sui, Brendan Leigh Ross, Valentin Villecroze, Zhaoyan Liu, Anthony L. Caterini, Eric Taylor, Gabriel Loaiza-Ganem
- NeurIPS 2023 poster
- Readers: Everyone
A Probabilistic Autoencoder for Type Ia Supernovae Spectral Time Series
George Stein, Uros Seljak, Vanessa Böhm, G. Aldering, P. Antilogus, C. Aragon, S. Bailey, C. Baltay, Sébastien Bongard, K. Boone, C. Buton, Y. Copin, S. Dixon, Dominique Fouchez, Emmanuel Gangler, R. Gupta, B. Hayden, W. Hillebrandt, M. Karmen, A. G. Kim et al. (20 additional authors not shown)
- Published: 01 Jan 2022, Last Modified: 12 May 2023
- CoRR 2022
- Readers: Everyone

View all 16 publications

Co-Authors

View all 76 co-authors