Ross, Brendan Leigh

18 publications

ICLR 2026 Textual Bayes: Quantifying Prompt Uncertainty in LLM-Based Systems Brendan Leigh Ross, Noël Vouitsis, Atiyeh Ashari Ghomi, Rasa Hosseinzadeh, Ji Xin, Zhaoyan Liu, Yi Sui, Shiyi Hou, Kin Kwan Leung, Gabriel Loaiza-Ganem, Jesse C. Cresswell

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

ICML 2024 A Geometric Explanation of the Likelihood OOD Detection Paradox Hamidreza Kamkari, Brendan Leigh Ross, Jesse C. Cresswell, Anthony L. Caterini, Rahul Krishnan, 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

NeurIPS 2024 A Geometric View of Data Complexity: Efficient Local Intrinsic Dimension Estimation with Diffusion Models Hamidreza Kamkari, Brendan Leigh Ross, Rasa Hosseinzadeh, Jesse C. Cresswell, Gabriel Loaiza-Ganem

ICMLW 2024 A Geometric View of Data Complexity: Efficient Local Intrinsic Dimension Estimation with Diffusion Models Hamidreza Kamkari, Brendan Leigh Ross, Rasa Hosseinzadeh, Jesse C. Cresswell, Gabriel Loaiza-Ganem

TMLR 2024 Deep Generative Models Through the Lens of the Manifold Hypothesis: A Survey and New Connections Gabriel Loaiza-Ganem, Brendan Leigh Ross, Rasa Hosseinzadeh, Anthony L. Caterini, Jesse C. Cresswell

ICMLW 2024 Differentiable Local Intrinsic Dimension Estimation with Diffusion Models Hamidreza Kamkari, Brendan Leigh Ross, Rasa Hosseinzadeh, Jesse C. Cresswell, Gabriel Loaiza-Ganem

NeurIPSW 2024 Inconsistencies in Consistency Models: Better ODE Solving Does Not Imply Better Samples Noël Vouitsis, Rasa Hosseinzadeh, Brendan Leigh Ross, Valentin Villecroze, Satya Krishna Gorti, Jesse C. Cresswell, Gabriel Loaiza-Ganem

TMLR 2024 Neural Implicit Manifold Learning for Topology-Aware Density Estimation Brendan Leigh Ross, Gabriel Loaiza-Ganem, Anthony L. Caterini, Jesse C. Cresswell

ICMLW 2024 Scalable Local Intrinsic Dimension Estimation with Diffusion Models Hamidreza Kamkari, Brendan Leigh Ross, Rasa Hosseinzadeh, Jesse C. Cresswell, Gabriel Loaiza-Ganem

ICLR 2023 Verifying the Union of Manifolds Hypothesis for Image Data Bradley CA Brown, Anthony L. Caterini, Brendan Leigh Ross, Jesse C Cresswell, Gabriel Loaiza-Ganem

NeurIPSW 2022 Denoising Deep Generative Models Gabriel Loaiza-Ganem, Brendan Leigh Ross, Luhuan Wu, John Patrick Cunningham, Jesse C Cresswell, Anthony L. Caterini

TMLR 2022 Diagnosing and Fixing Manifold Overfitting in Deep Generative Models Gabriel Loaiza-Ganem, Brendan Leigh Ross, Jesse C Cresswell, Anthony L. Caterini

NeurIPSW 2022 Find Your Friends: Personalized Federated Learning with the Right Collaborators Yi Sui, Junfeng Wen, Yenson Lau, Brendan Leigh Ross, Jesse C Cresswell

NeurIPSW 2022 The Union of Manifolds Hypothesis Bradley CA Brown, Anthony L. Caterini, Brendan Leigh Ross, Jesse C Cresswell, Gabriel Loaiza-Ganem

ICMLW 2021 Conformal Embedding Flows: Tractable Density Estimation on Learned Manifolds Brendan Leigh Ross, Jesse C Cresswell