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ORCIDAlireza Mousavi Hosseini
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2020 – today
- 2025
[c7]Alireza Mousavi Hosseini, Adel Javanmard, Murat A. Erdogdu:
Robust Feature Learning for Multi-Index Models in High Dimensions. ICLR 2025- [c6]Alireza Mousavi Hosseini, Denny Wu, Murat A. Erdogdu:
Learning Multi-Index Models with Neural Networks via Mean-Field Langevin Dynamics. ICLR 2025 - [i9]Alireza Mousavi Hosseini, Clayton Sanford, Denny Wu, Murat A. Erdogdu:
When Do Transformers Outperform Feedforward and Recurrent Networks? A Statistical Perspective. CoRR abs/2503.11272 (2025) - [i8]Michal Klein, Alireza Mousavi Hosseini, Stephen Y. Zhang, Marco Cuturi:
On Fitting Flow Models with Large Sinkhorn Couplings. CoRR abs/2506.05526 (2025) - [i7]Alireza Mousavi Hosseini, Stephen Y. Zhang, Michal Klein, Marco Cuturi:
Flow Matching with Semidiscrete Couplings. CoRR abs/2509.25519 (2025) - [i6]Konstantinos Christopher Tsiolis, Alireza Mousavi Hosseini, Murat A. Erdogdu:
From Information to Generative Exponent: Learning Rate Induces Phase Transitions in SGD. CoRR abs/2510.21020 (2025) - 2024
- [c5]Ye He, Alireza Mousavi Hosseini, Krishnakumar Balasubramanian, Murat A. Erdogdu:
A Separation in Heavy-Tailed Sampling: Gaussian vs. Stable Oracles for Proximal Samplers. NeurIPS 2024 - [c4]Guillaume Wang, Alireza Mousavi Hosseini, Lénaïc Chizat:
Mean-Field Langevin Dynamics for Signed Measures via a Bilevel Approach. NeurIPS 2024 - [i5]Alireza Mousavi Hosseini, Denny Wu, Murat A. Erdogdu:
Learning Multi-Index Models with Neural Networks via Mean-Field Langevin Dynamics. CoRR abs/2408.07254 (2024) - [i4]Alireza Mousavi Hosseini, Adel Javanmard, Murat A. Erdogdu:
Robust Feature Learning for Multi-Index Models in High Dimensions. CoRR abs/2410.16449 (2024) - 2023
- [c3]Alireza Mousavi Hosseini, Tyler K. Farghly, Ye He, Krishna Balasubramanian, Murat A. Erdogdu:
Towards a Complete Analysis of Langevin Monte Carlo: Beyond Poincaré Inequality. COLT 2023: 1-35 - [c2]Alireza Mousavi Hosseini, Sejun Park, Manuela Girotti, Ioannis Mitliagkas, Murat A. Erdogdu:
Neural Networks Efficiently Learn Low-Dimensional Representations with SGD. ICLR 2023 - [c1]Alireza Mousavi Hosseini, Denny Wu, Taiji Suzuki, Murat A. Erdogdu:
Gradient-Based Feature Learning under Structured Data. NeurIPS 2023 - [i3]Alireza Mousavi Hosseini, Denny Wu, Taiji Suzuki, Murat A. Erdogdu:
Gradient-Based Feature Learning under Structured Data. CoRR abs/2309.03843 (2023) - 2022
- [i2]Alireza Mousavi Hosseini, Sejun Park, Manuela Girotti, Ioannis Mitliagkas, Murat A. Erdogdu:
Neural Networks Efficiently Learn Low-Dimensional Representations with SGD. CoRR abs/2209.14863 (2022) - 2021
- [i1]Alireza Mousavi Hosseini, Amir Mohammad Abouei, Mohammad Hossein Rohban:
The Interplay between Distribution Parameters and the Accuracy-Robustness Tradeoff in Classification. CoRR abs/2107.00247 (2021)
Coauthor Index
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