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Rasa Hosseinzadeh
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2020 – today
- 2024
- [c6]Hamidreza Kamkari, Brendan Leigh Ross, Rasa Hosseinzadeh, Jesse C. Cresswell, Gabriel Loaiza-Ganem:
A Geometric View of Data Complexity: Efficient Local Intrinsic Dimension Estimation with Diffusion Models. NeurIPS 2024 - [c5]Valentin Thomas, Junwei Ma, Rasa Hosseinzadeh, Keyvan Golestan, Guangwei Yu, Maksims Volkovs, Anthony L. Caterini:
Retrieval & Fine-Tuning for In-Context Tabular Models. NeurIPS 2024 - [i12]Gabriel Loaiza-Ganem, Brendan Leigh Ross, Rasa Hosseinzadeh, Anthony L. Caterini, Jesse C. Cresswell:
Deep Generative Models through the Lens of the Manifold Hypothesis: A Survey and New Connections. CoRR abs/2404.02954 (2024) - [i11]Wei Cui, Rasa Hosseinzadeh, Junwei Ma, Tongzi Wu, Yi Sui, Keyvan Golestan:
Tabular Data Contrastive Learning via Class-Conditioned and Feature-Correlation Based Augmentation. CoRR abs/2404.17489 (2024) - [i10]Hamidreza Kamkari, Brendan Leigh Ross, Rasa Hosseinzadeh, Jesse C. Cresswell, Gabriel Loaiza-Ganem:
A Geometric View of Data Complexity: Efficient Local Intrinsic Dimension Estimation with Diffusion Models. CoRR abs/2406.03537 (2024) - [i9]Valentin Thomas, Junwei Ma, Rasa Hosseinzadeh, Keyvan Golestan, Guangwei Yu, Maksims Volkovs, Anthony L. Caterini:
Retrieval & Fine-Tuning for In-Context Tabular Models. CoRR abs/2406.05207 (2024) - [i8]Satya Krishna Gorti, Ilan Gofman, Zhaoyan Liu, Jiapeng Wu, Noël Vouitsis, Guangwei Yu, Jesse C. Cresswell, Rasa Hosseinzadeh:
MSc-SQL: Multi-Sample Critiquing Small Language Models For Text-To-SQL Translation. CoRR abs/2410.12916 (2024) - [i7]Junwei Ma, Valentin Thomas, Rasa Hosseinzadeh, Hamidreza Kamkari, Alex Labach, Jesse C. Cresswell, Keyvan Golestan, Guangwei Yu, Maksims Volkovs, Anthony L. Caterini:
TabDPT: Scaling Tabular Foundation Models. CoRR abs/2410.18164 (2024) - [i6]Brendan Leigh Ross, Hamidreza Kamkari, Tongzi Wu, Rasa Hosseinzadeh, Zhaoyan Liu, George Stein, Jesse C. Cresswell, Gabriel Loaiza-Ganem:
A Geometric Framework for Understanding Memorization in Generative Models. CoRR abs/2411.00113 (2024) - [i5]Noël Vouitsis, Rasa Hosseinzadeh, Brendan Leigh Ross, Valentin Villecroze, Satya Krishna Gorti, Jesse C. Cresswell, Gabriel Loaiza-Ganem:
Inconsistencies In Consistency Models: Better ODE Solving Does Not Imply Better Samples. CoRR abs/2411.08954 (2024) - 2023
- [c4]Sajad Norouzi, Rasa Hosseinzadeh, Felipe Pérez, Maksims Volkovs:
DiMS: Distilling Multiple Steps of Iterative Non-Autoregressive Transformers for Machine Translation. ACL (Findings) 2023: 8538-8553 - [c3]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:
Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion models. NeurIPS 2023 - [i4]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:
Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion models. CoRR abs/2306.04675 (2023) - 2022
- [c2]Murat A. Erdogdu, Rasa Hosseinzadeh, Shunshi Zhang:
Convergence of Langevin Monte Carlo in Chi-Squared and Rényi Divergence. AISTATS 2022: 8151-8175 - [i3]Sajad Norouzi, Rasa Hosseinzadeh, Felipe Pérez, Maksims Volkovs:
DiMS: Distilling Multiple Steps of Iterative Non-Autoregressive Transformers. CoRR abs/2206.02999 (2022) - 2021
- [c1]Murat A. Erdogdu, Rasa Hosseinzadeh:
On the Convergence of Langevin Monte Carlo: The Interplay between Tail Growth and Smoothness. COLT 2021: 1776-1822 - 2020
- [i2]Murat A. Erdogdu, Rasa Hosseinzadeh:
On the Convergence of Langevin Monte Carlo: The Interplay between Tail Growth and Smoothness. CoRR abs/2005.13097 (2020) - [i1]Murat A. Erdogdu, Rasa Hosseinzadeh:
A Brief Note on the Convergence of Langevin Monte Carlo in Chi-Square Divergence. CoRR abs/2007.11612 (2020)
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