Caterini, Anthony L.

19 publications

NeurIPS 2025 TabDPT: Scaling Tabular Foundation Models on Real Data Junwei Ma, Valentin Thomas, Rasa Hosseinzadeh, Alex Labach, Jesse C. Cresswell, Keyvan Golestan, Guangwei Yu, Anthony L. Caterini, Maksims Volkovs

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

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

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 Retrieval & Fine-Tuning for In-Context Tabular Models Valentin Thomas, Junwei Ma, Rasa Hosseinzadeh, Keyvan Golestan, Guangwei Yu, Maksims Volkovs, Anthony L. Caterini

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

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 Relating Regularization and Generalization Through the Intrinsic Dimension of Activations Bradley CA Brown, Jordan Juravsky, Anthony L. Caterini, Gabriel Loaiza-Ganem

NeurIPSW 2022 Relating Regularization and Generalization Through the Intrinsic Dimension of Activations Bradley CA Brown, Jordan Juravsky, Anthony L. Caterini, Gabriel Loaiza-Ganem

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

ICLR 2021 C-Learning: Horizon-Aware Cumulative Accessibility Estimation Panteha Naderian, Gabriel Loaiza-Ganem, Harry J. Braviner, Anthony L. Caterini, Jesse C. Cresswell, Tong Li, Animesh Garg

NeurIPSW 2021 Entropic Issues in Likelihood-Based OOD Detection Anthony L. Caterini, Gabriel Loaiza-Ganem

NeurIPSW 2021 Entropic Issues in Likelihood-Based OOD Detection Anthony L. Caterini, Gabriel Loaiza-Ganem

ICLRW 2021 Lossless Compression Using Continuously-Indexed Normalizing Flows Adam Golinski, Anthony L. Caterini

NeurIPS 2021 Rectangular Flows for Manifold Learning Anthony L Caterini, Gabriel Loaiza-Ganem, Geoff Pleiss, John P. Cunningham

ICMLW 2021 Rectangular Flows for Manifold Learning Anthony L. Caterini, Gabriel Loaiza-Ganem, Geoff Pleiss, John Patrick Cunningham

NeurIPS 2018 Hamiltonian Variational Auto-Encoder Anthony L Caterini, Arnaud Doucet, Dino Sejdinovic