A volumetric deep Convolutional Neural Network for simulation of dark matter halo catalogues. - Philippe Berger; George Stein (CoRR, 2018)

Unsupervised in-distribution anomaly detection of new physics through conditional density estimation. - George Stein; Uros Seljak; Biwei Dai (CoRR, 2020)

Self-Supervised Representation Learning for Astronomical Images. - Md. Abul Hayat; George Stein; Peter Harrington; Zarija Lukic; Mustafa Mustafa (CoRR, 2020)

Estimating Galactic Distances From Images Using Self-supervised Representation Learning. - Md. Abul Hayat; Peter Harrington; George Stein; Zarija Lukic; Mustafa Mustafa (CoRR, 2021)

Mining for strong gravitational lenses with self-supervised learning. - George Stein; Jacqueline Blaum; Peter Harrington; Tomislav Medan; Zarija Lukic (CoRR, 2021)

Self-supervised similarity search for large scientific datasets. - George Stein; Peter Harrington; Jacqueline Blaum; Tomislav Medan; Zarija Lukic (CoRR, 2021)

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; et al. (CoRR, 2022)

Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion models. - George Stein; Jesse C. Cresswell; Rasa Hosseinzadeh; Yi Sui 001; Brendan Leigh Ross; Valentin Villecroze; Zhaoyan Liu; Anthony L. Caterini; J. Eric T. Taylor; Gabriel Loaiza-Ganem (NeurIPS, 2023)

Self-supervised Representation Learning from Random Data Projectors. - Yi Sui 001; Tongzi Wu; Jesse C. Cresswell; Ga Wu; George Stein; Xiao Shi Huang; Xiaochen Zhang; Maksims Volkovs (ICLR, 2024)

TabPFGen - Tabular Data Generation with TabPFN. - Junwei Ma; Apoorv Dankar; George Stein; Guangwei Yu; Anthony L. Caterini (CoRR, 2024)

Benchmarking Robust Self-Supervised Learning Across Diverse Downstream Tasks. - Antoni Kowalczuk; Jan Dubinski; Atiyeh Ashari Ghomi; Yi Sui 001; George Stein; Jiapeng Wu; Jesse C. Cresswell; Franziska Boenisch; Adam Dziedzic (CoRR, 2024)

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)