Rasa Hosseinzadeh

According to our database1, Rasa Hosseinzadeh authored at least 16 papers between 2020 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2025
Textual Bayes: Quantifying Uncertainty in LLM-Based Systems.
CoRR, June, 2025

On Convolutions, Intrinsic Dimension, and Diffusion Models.
Trans. Mach. Learn. Res., 2025

MSc-SQL: Multi-Sample Critiquing Small Language Models For Text-To-SQL Translation.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

A Geometric Framework for Understanding Memorization in Generative Models.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024
Deep Generative Models through the Lens of the Manifold Hypothesis: A Survey and New Connections.
Trans. Mach. Learn. Res., 2024

Inconsistencies In Consistency Models: Better ODE Solving Does Not Imply Better Samples.
CoRR, 2024

TabDPT: Scaling Tabular Foundation Models.
CoRR, 2024

Tabular Data Contrastive Learning via Class-Conditioned and Feature-Correlation Based Augmentation.
CoRR, 2024

Retrieval & Fine-Tuning for In-Context Tabular Models.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

A Geometric View of Data Complexity: Efficient Local Intrinsic Dimension Estimation with Diffusion Models.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023
Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

DiMS: Distilling Multiple Steps of Iterative Non-Autoregressive Transformers for Machine Translation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
DiMS: Distilling Multiple Steps of Iterative Non-Autoregressive Transformers.
CoRR, 2022

Convergence of Langevin Monte Carlo in Chi-Squared and Rényi Divergence.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021
On the Convergence of Langevin Monte Carlo: The Interplay between Tail Growth and Smoothness.
Proceedings of the Conference on Learning Theory, 2021

2020
A Brief Note on the Convergence of Langevin Monte Carlo in Chi-Square Divergence.
CoRR, 2020


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