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The Geometry of Self-supervised Learning Models and its Impact on Transfer Learning


Sep 18, 2022
Romain Cosentino, Sarath Shekkizhar, Mahdi Soltanolkotabi, Salman Avestimehr, Antonio Ortega

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* 22 pages 

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Neural Networks can Learn Representations with Gradient Descent


Jun 30, 2022
Alex Damian, Jason D. Lee, Mahdi Soltanolkotabi

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* COLT 2022 

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Toward a Geometrical Understanding of Self-supervised Contrastive Learning


May 13, 2022
Romain Cosentino, Anirvan Sengupta, Salman Avestimehr, Mahdi Soltanolkotabi, Antonio Ortega, Ted Willke, Mariano Tepper

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Learning from many trajectories


Mar 31, 2022
Stephen Tu, Roy Frostig, Mahdi Soltanolkotabi

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HUMUS-Net: Hybrid unrolled multi-scale network architecture for accelerated MRI reconstruction


Mar 15, 2022
Zalan Fabian, Mahdi Soltanolkotabi

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* 15 pages, 8 figures 

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FedCV: A Federated Learning Framework for Diverse Computer Vision Tasks


Nov 22, 2021
Chaoyang He, Alay Dilipbhai Shah, Zhenheng Tang, Di Fan1Adarshan Naiynar Sivashunmugam, Keerti Bhogaraju, Mita Shimpi, Li Shen, Xiaowen Chu, Mahdi Soltanolkotabi, Salman Avestimehr

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* Federated Learning for Computer Vision, an application of FedML Ecosystem (fedml.ai) 

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SSFL: Tackling Label Deficiency in Federated Learning via Personalized Self-Supervision


Oct 06, 2021
Chaoyang He, Zhengyu Yang, Erum Mushtaq, Sunwoo Lee, Mahdi Soltanolkotabi, Salman Avestimehr

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Outlier-Robust Sparse Estimation via Non-Convex Optimization


Sep 23, 2021
Yu Cheng, Ilias Diakonikolas, Daniel M. Kane, Rong Ge, Shivam Gupta, Mahdi Soltanolkotabi

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A Field Guide to Federated Optimization


Jul 14, 2021
Jianyu Wang, Zachary Charles, Zheng Xu, Gauri Joshi, H. Brendan McMahan, Blaise Aguera y Arcas, Maruan Al-Shedivat, Galen Andrew, Salman Avestimehr, Katharine Daly, Deepesh Data, Suhas Diggavi, Hubert Eichner, Advait Gadhikar, Zachary Garrett, Antonious M. Girgis, Filip Hanzely, Andrew Hard, Chaoyang He, Samuel Horvath, Zhouyuan Huo, Alex Ingerman, Martin Jaggi, Tara Javidi, Peter Kairouz, Satyen Kale, Sai Praneeth Karimireddy, Jakub Konecny, Sanmi Koyejo, Tian Li, Luyang Liu, Mehryar Mohri, Hang Qi, Sashank J. Reddi, Peter Richtarik, Karan Singhal, Virginia Smith, Mahdi Soltanolkotabi, Weikang Song, Ananda Theertha Suresh, Sebastian U. Stich, Ameet Talwalkar, Hongyi Wang, Blake Woodworth, Shanshan Wu, Felix X. Yu, Honglin Yuan, Manzil Zaheer, Mi Zhang, Tong Zhang, Chunxiang Zheng, Chen Zhu, Wennan Zhu

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Small random initialization is akin to spectral learning: Optimization and generalization guarantees for overparameterized low-rank matrix reconstruction


Jun 28, 2021
Dominik Stöger, Mahdi Soltanolkotabi

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* 80 pages 

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