Mahdi Soltanolkotabi

Mahdi Soltanolkotabi

University of Southern California

H-index: 42

North America-United States

About Mahdi Soltanolkotabi

Mahdi Soltanolkotabi, With an exceptional h-index of 42 and a recent h-index of 39 (since 2020), a distinguished researcher at University of Southern California, specializes in the field of theory for deep learning, AI for science/medicine, (non)convex optimization, probability, statistics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Learning provably robust estimators for inverse problems via jittering

Serpent: Scalable and Efficient Image Restoration via Multi-scale Structured State Space Models

A Data-Free Approach to Mitigate Catastrophic Forgetting in Federated Class Incremental Learning for Vision Tasks

Diracdiffusion: Denoising and incremental reconstruction with assured data-consistency

mL-BFGS: A Momentum-based L-BFGS for Distributed Large-Scale Neural Network Optimization

CUDA: Convolution-based Unlearnable Datasets

Provable multi-task representation learning by two-layer relu neural networks

Integral: A Foundational Approach to Label Complexity via Information Theory and Graph Signal Processing

Mahdi Soltanolkotabi Information

University

Position

___

Citations(all)

8696

Citations(since 2020)

6386

Cited By

4914

hIndex(all)

42

hIndex(since 2020)

39

i10Index(all)

65

i10Index(since 2020)

61

Email

University Profile Page

University of Southern California

Google Scholar

View Google Scholar Profile

Mahdi Soltanolkotabi Skills & Research Interests

theory for deep learning

AI for science/medicine

(non)convex optimization

probability

statistics

Top articles of Mahdi Soltanolkotabi

Title

Journal

Author(s)

Publication Date

Learning provably robust estimators for inverse problems via jittering

Advances in Neural Information Processing Systems

Anselm Krainovic

Mahdi Soltanolkotabi

Reinhard Heckel

2024/2/13

Serpent: Scalable and Efficient Image Restoration via Multi-scale Structured State Space Models

arXiv preprint arXiv:2403.17902

Mohammad Shahab Sepehri

Zalan Fabian

Mahdi Soltanolkotabi

2024/3/26

A Data-Free Approach to Mitigate Catastrophic Forgetting in Federated Class Incremental Learning for Vision Tasks

Advances in Neural Information Processing Systems

Sara Babakniya

Zalan Fabian

Chaoyang He

Mahdi Soltanolkotabi

Salman Avestimehr

2024/2/13

Diracdiffusion: Denoising and incremental reconstruction with assured data-consistency

arXiv preprint arXiv:2303.14353

Zalan Fabian

Berk Tinaz

Mahdi Soltanolkotabi

2023/3/25

mL-BFGS: A Momentum-based L-BFGS for Distributed Large-Scale Neural Network Optimization

arXiv preprint arXiv:2307.13744

Yue Niu

Zalan Fabian

Sunwoo Lee

Mahdi Soltanolkotabi

Salman Avestimehr

2023/7/25

CUDA: Convolution-based Unlearnable Datasets

Vinu Sankar Sadasivan

Mahdi Soltanolkotabi

Soheil Feizi

2023

Provable multi-task representation learning by two-layer relu neural networks

arXiv preprint arXiv:2307.06887

Liam Collins

Hamed Hassani

Mahdi Soltanolkotabi

Aryan Mokhtari

Sanjay Shakkottai

2023/7/13

Integral: A Foundational Approach to Label Complexity via Information Theory and Graph Signal Processing

Salman Avestimehr

Antonio Ortega

Mahdi Soltanolkotabi

Ilias Diakonikolas

2023/11/1

Towards Understanding the Role of Attention in Prompt-tuning

Ankit Singh Rawat

Christos Thrampoulidis

Mahdi Soltanolkotabi

Samet Oymak

2023

Implicit balancing and regularization: Generalization and convergence guarantees for overparameterized asymmetric matrix sensing

Mahdi Soltanolkotabi

Dominik Stöger

Changzhi Xie

2023/7/12

Gradient Descent Provably Solves Nonlinear Tomographic Reconstruction

ArXiv

Sara Fridovich-Keil

Fabrizio Valdivia

Gordon Wetzstein

Benjamin Recht

Mahdi Soltanolkotabi

2023/10/6

On the role of attention in prompt-tuning

Samet Oymak

Ankit Singh Rawat

Mahdi Soltanolkotabi

Christos Thrampoulidis

2023

Learning A Disentangling Representation For PU Learning

arXiv preprint arXiv:2310.03833

Omar Zamzam

Haleh Akrami

Mahdi Soltanolkotabi

Richard Leahy

2023/10/5

Don't Memorize; Mimic The Past: Federated Class Incremental Learning Without Episodic Memory

arXiv preprint arXiv:2307.00497

Sara Babakniya

Zalan Fabian

Chaoyang He

Mahdi Soltanolkotabi

Salman Avestimehr

2023/7/2

Adapt and Diffuse: Sample-adaptive Reconstruction via Latent Diffusion Models

arXiv preprint arXiv:2309.06642

Zalan Fabian

Berk Tinaz

Mahdi Soltanolkotabi

2023/9/12

Outlier-robust sparse estimation via non-convex optimization

36th Conference on Neural Information Processing Systems

Yu Cheng

Ilias Diakonikolas

Rong Ge

Shivam Gupta

Daniel Kane

...

2022/12/6

On the effectiveness of active learning by uncertainty sampling in classification of high-dimensional gaussian mixture data

Xiaoyi Mai

Salman Avestimehr

Antonio Ortega

Mahdi Soltanolkotabi

2022/5/23

FUN: Filter-based Unlearnable Datasets

Vinu Sankar Sadasivan

Mahdi Soltanolkotabi

Soheil Feizi

2022/9/29

Toward a geometrical understanding of self-supervised contrastive learning

arXiv preprint arXiv:2205.06926

Romain Cosentino

Anirvan Sengupta

Salman Avestimehr

Mahdi Soltanolkotabi

Antonio Ortega

...

2022/5/13

The geometry of self-supervised learning models and its impact on transfer learning

arXiv preprint arXiv:2209.08622

Romain Cosentino

Sarath Shekkizhar

Mahdi Soltanolkotabi

Salman Avestimehr

Antonio Ortega

2022/9/18

See List of Professors in Mahdi Soltanolkotabi University(University of Southern California)

Co-Authors

H-index: 104
Emmanuel Candes

Emmanuel Candes

Stanford University

H-index: 85
Benjamin Recht

Benjamin Recht

University of California, Berkeley

H-index: 36
Samet Oymak

Samet Oymak

University of California, Riverside

H-index: 26
MAX SIMCHOWITZ

MAX SIMCHOWITZ

University of California, Berkeley

H-index: 15
Xiaodong Li

Xiaodong Li

University of California, Davis

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