Rasa Hosseinzadeh

24 papers A* 5A 1Journal 16Unranked 2
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 — conf
MSc-SQL: Multi-Sample Critiquing Small Language Models For Text-To-SQL Translation.
NAACL (Long Papers)
Satya Krishna Gorti, Ilan Gofman, Zhaoyan Liu, Jiapeng Wu, Noël Vouitsis, Guangwei Yu, Jesse C. Cresswell, Rasa Hosseinzadeh
2025 J jnl
On Convolutions, Intrinsic Dimension, and Diffusion Models.
CoRR
Kin Kwan Leung, Rasa Hosseinzadeh, Gabriel Loaiza-Ganem
2025 J jnl
On Convolutions, Intrinsic Dimension, and Diffusion Models.
Trans. Mach. Learn. Res.
Kin Kwan Leung, Rasa Hosseinzadeh, 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 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
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
MSc-SQL: Multi-Sample Critiquing Small Language Models For Text-To-SQL Translation.
CoRR
Satya Krishna Gorti, Ilan Gofman, Zhaoyan Liu, Jiapeng Wu, Noël Vouitsis, Guangwei Yu, Jesse C. Cresswell, Rasa Hosseinzadeh
2024 A* conf
Retrieval & Fine-Tuning for In-Context Tabular Models.
NeurIPS
Valentin Thomas, Junwei Ma, Rasa Hosseinzadeh, Keyvan Golestan, Guangwei Yu, Maksims Volkovs, Anthony L. Caterini
2024 J jnl
Retrieval & Fine-Tuning for In-Context Tabular Models.
CoRR
Valentin Thomas, Junwei Ma, Rasa Hosseinzadeh, Keyvan Golestan, Guangwei Yu, Maksims Volkovs, Anthony L. Caterini
2024 J jnl
TabDPT: Scaling Tabular Foundation Models.
CoRR
Junwei Ma, Valentin Thomas, Rasa Hosseinzadeh, Hamidreza Kamkari, Alex Labach, Jesse C. Cresswell, Keyvan Golestan, Guangwei Yu, Maksims Volkovs, Anthony L. Caterini
2024 J jnl
Tabular Data Contrastive Learning via Class-Conditioned and Feature-Correlation Based Augmentation.
CoRR
Wei Cui, Rasa Hosseinzadeh, Junwei Ma, Tongzi Wu, Yi Sui, Keyvan Golestan
2023 — conf
DiMS: Distilling Multiple Steps of Iterative Non-Autoregressive Transformers for Machine Translation.
ACL (Findings)
Sajad Norouzi, Rasa Hosseinzadeh, Felipe Pérez, Maksims Volkovs
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
2022 A conf
Convergence of Langevin Monte Carlo in Chi-Squared and Rényi Divergence.
AISTATS
Murat A. Erdogdu, Rasa Hosseinzadeh, Shunshi Zhang
2022 J jnl
DiMS: Distilling Multiple Steps of Iterative Non-Autoregressive Transformers.
CoRR
Sajad Norouzi, Rasa Hosseinzadeh, Felipe Pérez, Maksims Volkovs
2021 A* conf
On the Convergence of Langevin Monte Carlo: The Interplay between Tail Growth and Smoothness.
COLT
Murat A. Erdogdu, Rasa Hosseinzadeh
2020 J jnl
A Brief Note on the Convergence of Langevin Monte Carlo in Chi-Square Divergence.
CoRR
Murat A. Erdogdu, Rasa Hosseinzadeh
2020 J jnl
On the Convergence of Langevin Monte Carlo: The Interplay between Tail Growth and Smoothness.
CoRR
Murat A. Erdogdu, Rasa Hosseinzadeh