Liu, Zhaoyan

7 publications

ICLR 2025 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

ICMLW 2024 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

ICMLW 2024 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

CVPR 2024 Data-Efficient Multimodal Fusion on a Single GPU Noël Vouitsis, Zhaoyan Liu, Satya Krishna Gorti, Valentin Villecroze, Jesse C. Cresswell, Guangwei Yu, Gabriel Loaiza-Ganem, Maksims Volkovs

NeurIPSW 2024 MSc-SQL: Multi-Sample Critiquing Small Language Models for Text-to-SQL Translation Satya Krishna Gorti, Ilan Gofman, Zhaoyan Liu, Jiapeng Wu, Noël Vouitsis, Guangwei Yu, Jesse C. Cresswell, Rasa Hosseinzadeh

NeurIPS 2023 Exposing Flaws of Generative Model Evaluation Metrics and Their Unfair Treatment of Diffusion Models George Stein, Jesse Cresswell, Rasa Hosseinzadeh, Yi Sui, Brendan Ross, Valentin Villecroze, Zhaoyan Liu, Anthony L Caterini, Eric Taylor, Gabriel Loaiza-Ganem

ICML 2023 TR0N: Translator Networks for 0-Shot Plug-and-Play Conditional Generation Zhaoyan Liu, Noël Vouitsis, Satya Krishna Gorti, Jimmy Ba, Gabriel Loaiza-Ganem