George Stein - RankMe

15 papers A* 3Journal 12

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	A Geometric Framework for Understanding Memorization in Generative Models. ICLR Brendan Leigh Ross, Hamidreza Kamkari, Tongzi Wu, Rasa Hosseinzadeh, Zhaoyan Liu, George Stein, Jesse C. Cresswell, Gabriel Loaiza-Ganem
2024	J	`jnl`	A Geometric Framework for Understanding Memorization in Generative Models. CoRR Brendan Leigh Ross, Hamidreza Kamkari, Tongzi Wu, Rasa Hosseinzadeh, Zhaoyan Liu, George Stein, Jesse C. Cresswell, Gabriel Loaiza-Ganem
2024	J	`jnl`	Benchmarking Robust Self-Supervised Learning Across Diverse Downstream Tasks. CoRR Antoni Kowalczuk, Jan Dubinski, Atiyeh Ashari Ghomi, Yi Sui, George Stein, Jiapeng Wu, Jesse C. Cresswell, Franziska Boenisch, Adam Dziedzic
2024	A*	`conf`	Self-supervised Representation Learning from Random Data Projectors. ICLR Yi Sui, Tongzi Wu, Jesse C. Cresswell, Ga Wu, George Stein, Xiao Shi Huang, Xiaochen Zhang, Maksims Volkovs
2024	J	`jnl`	TabPFGen - Tabular Data Generation with TabPFN. CoRR Junwei Ma, Apoorv Dankar, George Stein, Guangwei Yu, Anthony L. Caterini
2023	A*	`conf`	Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion models. NeurIPS George Stein, Jesse C. Cresswell, Rasa Hosseinzadeh, Yi Sui, Brendan Leigh Ross, Valentin Villecroze, Zhaoyan Liu, Anthony L. Caterini, J. Eric T. Taylor, Gabriel Loaiza-Ganem
2023	J	`jnl`	Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion models. CoRR George Stein, Jesse C. Cresswell, Rasa Hosseinzadeh, Yi Sui, Brendan Leigh Ross, Valentin Villecroze, Zhaoyan Liu, Anthony L. Caterini, J. Eric T. Taylor, Gabriel Loaiza-Ganem
2023	J	`jnl`	Self-supervised Representation Learning From Random Data Projectors. CoRR Yi Sui, Tongzi Wu, Jesse C. Cresswell, Ga Wu, George Stein, Xiao Shi Huang, Xiaochen Zhang, Maksims Volkovs
2022	J	`jnl`	A Probabilistic Autoencoder for Type Ia Supernovae Spectral Time Series. CoRR 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, Brian Hayden, W. Hillebrandt, M. Karmen, A. G. Kim, M. Kowalski, D. Kusters, Pierre-François Léget, F. Mondon, J. Nordin, R. Pain, E. Pecontal, R. Pereira, S. Perlmutter, K. A. Ponder, D. Rabinowitz, M. Rigault, D. Rubin, K. Runge, C. Saunders, G. Smadja, N. Suzuki, C. Tao, Rollin C. Thomas, Maria Vincenzi
2021	J	`jnl`	Estimating Galactic Distances From Images Using Self-supervised Representation Learning. CoRR Md. Abul Hayat, Peter Harrington, George Stein, Zarija Lukic, Mustafa Mustafa
2021	J	`jnl`	Mining for strong gravitational lenses with self-supervised learning. CoRR George Stein, Jacqueline Blaum, Peter Harrington, Tomislav Medan, Zarija Lukic
2021	J	`jnl`	Self-supervised similarity search for large scientific datasets. CoRR George Stein, Peter Harrington, Jacqueline Blaum, Tomislav Medan, Zarija Lukic
2020	J	`jnl`	Self-Supervised Representation Learning for Astronomical Images. CoRR Md. Abul Hayat, George Stein, Peter Harrington, Zarija Lukic, Mustafa Mustafa
2020	J	`jnl`	Unsupervised in-distribution anomaly detection of new physics through conditional density estimation. CoRR George Stein, Uros Seljak, Biwei Dai
2018	J	`jnl`	A volumetric deep Convolutional Neural Network for simulation of dark matter halo catalogues. CoRR Philippe Berger, George Stein