Brendan Leigh Ross

25 papers A* 6Journal 18Unranked 1
YearRankTypeTitle / 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
2025 J jnl
Textual Bayes: Quantifying Uncertainty in LLM-Based Systems.
CoRR
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
2024 A* conf
A Geometric Explanation of the Likelihood OOD Detection Paradox.
ICML
Hamidreza Kamkari, Brendan Leigh Ross, Jesse C. Cresswell, Anthony L. Caterini, Rahul G. Krishnan, Gabriel Loaiza-Ganem
2024 J jnl
A Geometric Explanation of the Likelihood OOD Detection Paradox.
CoRR
Hamidreza Kamkari, Brendan Leigh Ross, Jesse C. Cresswell, Anthony L. Caterini, Rahul G. Krishnan, 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 A* conf
A Geometric View of Data Complexity: Efficient Local Intrinsic Dimension Estimation with Diffusion Models.
NeurIPS
Hamidreza Kamkari, Brendan Leigh Ross, Rasa Hosseinzadeh, Jesse C. Cresswell, Gabriel Loaiza-Ganem
2024 J jnl
A Geometric View of Data Complexity: Efficient Local Intrinsic Dimension Estimation with Diffusion Models.
CoRR
Hamidreza Kamkari, Brendan Leigh Ross, Rasa Hosseinzadeh, Jesse C. Cresswell, Gabriel Loaiza-Ganem
2024 J jnl
CaloChallenge 2022: A Community Challenge for Fast Calorimeter Simulation.
CoRR
Claudius Krause, Michele Faucci Giannelli, Gregor Kasieczka, Benjamin Nachman, Dalila Salamani, David Shih, Anna Zaborowska, Oz Amram, Kerstin Borras, Matthew R. Buckley, Erik Buhmann, Thorsten Buss, Renato Paulo Da Costa Cardoso, Anthony L. Caterini, Nadezda Chernyavskaya, Federico A. G. Corchia, Jesse C. Cresswell, Sascha Diefenbacher, Etienne Dreyer, Vijay Ekambaram, Engin Eren, Florian Ernst, Luigi Favaro, Matteo Franchini, Frank Gaede, Eilam Gross, Shih-Chieh Hsu, Kristina Jaruskova, Benno Käch, Jayant Kalagnanam, Raghav Kansal, Taewoo Kim, Dmitrii Kobylianskii, Anatolii Korol, William Korcari, Dirk Krücker, Katja Krüger, Marco Letizia, Shu Li, Qibin Liu, Xiulong Liu, Gabriel Loaiza-Ganem, Thandikire Madula, Peter McKeown, Isabell-A. Melzer-Pellmann, Vinicius Mikuni, Nam Nguyen, Ayodele Ore, Sofia Palacios Schweitzer, Ian Pang, Kevin Pedro, Tilman Plehn, Witold Pokorski, Huilin Qu, Piyush Raikwar, John A. Raine, Humberto Reyes-González, Lorenzo Rinaldi, Brendan Leigh Ross, Moritz A. W. Scham, Simon Schnake, Chase Shimmin, Eli Shlizerman, Nathalie Soybelman, Mudhakar Srivatsa, Kalliopi Tsolaki, Sofia Vallecorsa, Kyongmin Yeo, Rui Zhang
2024 J jnl
Deep Generative Models through the Lens of the Manifold Hypothesis: A Survey and New Connections.
CoRR
Gabriel Loaiza-Ganem, Brendan Leigh Ross, Rasa Hosseinzadeh, Anthony L. Caterini, Jesse C. Cresswell
2024 J jnl
Deep Generative Models through the Lens of the Manifold Hypothesis: A Survey and New Connections.
Trans. Mach. Learn. Res.
Gabriel Loaiza-Ganem, Brendan Leigh Ross, Rasa Hosseinzadeh, Anthony L. Caterini, Jesse C. Cresswell
2024 J jnl
Inconsistencies In Consistency Models: Better ODE Solving Does Not Imply Better Samples.
CoRR
Noël Vouitsis, Rasa Hosseinzadeh, Brendan Leigh Ross, Valentin Villecroze, Satya Krishna Gorti, Jesse C. Cresswell, Gabriel Loaiza-Ganem
2024 J jnl
Neural Implicit Manifold Learning for Topology-Aware Density Estimation.
Trans. Mach. Learn. Res.
Brendan Leigh Ross, Gabriel Loaiza-Ganem, Anthony L. Caterini, Jesse C. Cresswell
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 A* conf
Verifying the Union of Manifolds Hypothesis for Image Data.
ICLR
Bradley C. A. Brown, Anthony L. Caterini, Brendan Leigh Ross, Jesse C. Cresswell, Gabriel Loaiza-Ganem
2022 J jnl
CaloMan: Fast generation of calorimeter showers with density estimation on learned manifolds.
CoRR
Jesse C. Cresswell, Brendan Leigh Ross, Gabriel Loaiza-Ganem, Humberto Reyes-González, Marco Letizia, Anthony L. Caterini
2022 — conf
Denoising Deep Generative Models.
ICBINB
Gabriel Loaiza-Ganem, Brendan Leigh Ross, Luhuan Wu, John P. Cunningham, Jesse C. Cresswell, Anthony L. Caterini
2022 J jnl
Denoising Deep Generative Models.
CoRR
Gabriel Loaiza-Ganem, Brendan Leigh Ross, Luhuan Wu, John P. Cunningham, Jesse C. Cresswell, Anthony L. Caterini
2022 J jnl
Diagnosing and Fixing Manifold Overfitting in Deep Generative Models.
CoRR
Gabriel Loaiza-Ganem, Brendan Leigh Ross, Jesse C. Cresswell, Anthony L. Caterini
2022 J jnl
Diagnosing and Fixing Manifold Overfitting in Deep Generative Models.
Trans. Mach. Learn. Res.
Gabriel Loaiza-Ganem, Brendan Leigh Ross, Jesse C. Cresswell, Anthony L. Caterini
2022 J jnl
Find Your Friends: Personalized Federated Learning with the Right Collaborators.
CoRR
Yi Sui, Junfeng Wen, Yenson Lau, Brendan Leigh Ross, Jesse C. Cresswell
2022 J jnl
Neural Implicit Manifold Learning for Topology-Aware Generative Modelling.
CoRR
Brendan Leigh Ross, Gabriel Loaiza-Ganem, Anthony L. Caterini, Jesse C. Cresswell
2022 J jnl
The Union of Manifolds Hypothesis and its Implications for Deep Generative Modelling.
CoRR
Bradley C. A. Brown, Anthony L. Caterini, Brendan Leigh Ross, Jesse C. Cresswell, Gabriel Loaiza-Ganem
2021 A* conf
Tractable Density Estimation on Learned Manifolds with Conformal Embedding Flows.
NeurIPS
Brendan Leigh Ross, Jesse C. Cresswell
2021 J jnl
Tractable Density Estimation on Learned Manifolds with Conformal Embedding Flows.
CoRR
Brendan Leigh Ross, Jesse C. Cresswell