Mahdi Soltanolkotabi
- Phase Retrieval via Wirtinger Flow: Theory and Algorithms
2015/02/03 by Emmanuel J. Candès, Xiaodong Li, Mahdi Soltanolkotabi · 60 citations
Physics and Astronomy · Biochemistry, Genetics and Molecular Biology · Computer Science · #Advanced X-ray Imaging Techniques #Advanced Electron Microscopy Techniques and Applications #Optical measurement and interference techniques
- Low-rank Solutions of Linear Matrix Equations via Procrustes Flow
2015/07/13 by Stephen Tu, Ross Boczar, Tu, Stephen +7 · 21 citations
Engineering · Mathematics · #FOS: Mathematics #Microwave Imaging and Scattering Analysis #Numerical methods in inverse problems #Optimization and Control (math.OC) #Sparse and Compressive Sensing Techniques
- Towards moderate overparameterization: global convergence guarantees for training shallow neural networks
2019/02/12 by Samet Oymak, Oymak, Samet, Mahdi Soltanolkotabi +1 · 32 citations
Computer Science · #Stochastic Gradient Optimization Techniques #Advanced Neural Network Applications #Machine Learning and Algorithms
- A Field Guide to Federated Optimization
2021/07/14 by Jianyu Wang, Wang, Jianyu, Zachary Charles +103 · 20 citations
Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Mobile Crowdsensing and Crowdsourcing #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques
- Lagrange Coded Computing: Optimal Design for Resiliency, Security and Privacy
2018/06/04 by Qian Yu, Songze Li, Yu, Qian +9 · 14 citations
Computer Science · Engineering · #Stochastic Gradient Optimization Techniques #Privacy-Preserving Technologies in Data #Ferroelectric and Negative Capacitance Devices
- Compressed Sensing with Deep Image Prior and Learned Regularization
2018/06/17 by Dave Van Veen, Ajil Jalal, Van Veen, Dave +9 · 20 citations
Engineering · Computer Science · #Sparse and Compressive Sensing Techniques #Photoacoustic and Ultrasonic Imaging #Image and Signal Denoising Methods
- Generalization Guarantees for Neural Networks via Harnessing the Low-rank Structure of the Jacobian
2019/06/12 by Samet Oymak, Zalan Fabian, Oymak, Samet +5 · 17 citations
Physics and Astronomy · Computer Science · Engineering · #Model Reduction and Neural Networks #Neural Networks and Applications #Sparse and Compressive Sensing Techniques
- FedNLP: Benchmarking Federated Learning Methods for Natural Language Processing Tasks
2021/04/18 by Bill Lin, Lin, Bill Yuchen, Chaoyang He +17 · 10 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Privacy-Preserving Technologies in Data
- Convergence and sample complexity of gradient methods for the model-free\n linear quadratic regulator problem
2019/12/26 by Hesameddin Mohammadi, Armin Zare, Mohammadi, Hesameddin +5 · 8 citations
Computer Science · Engineering · Physics and Astronomy · #Adaptive Dynamic Programming Control #Advanced Control Systems Optimization #Artificial Intelligence (cs.AI) #Data Analysis #FOS: Computer and information sciences #FOS: Electrical engineering #FOS: Mathematics #FOS: Physical sciences #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Optimization and Control (math.OC) #Statistics and Probability (physics.data-an) #Systems and Control (eess.SY) #electronic engineering #information engineering
- Overparameterized Nonlinear Learning: Gradient Descent Takes the Shortest Path?
2018/12/25 by Samet Oymak, Oymak, Samet, Mahdi Soltanolkotabi +1 · 8 citations
Computer Science · Engineering · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and ELM #Optimization and Control (math.OC) #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
- Near-Optimal Straggler Mitigation for Distributed Gradient Methods
2017/10/27 by Songze Li, Li, Songze, Seyed Mohammadreza Mousavi Kalan +5 · 3 citations
Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Distributed #FOS: Computer and information sciences #Information Theory (cs.IT) #Parallel #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques #and Cluster Computing (cs.DC)
- MediConfusion: Can you trust your AI radiologist? Probing the reliability of multimodal medical foundation models
2024/09/23 by Mohammad Shahab Sepehri, Zalan Fabian, Sepehri, Mohammad Shahab +5 · 8 citations
Medicine · #Artificial Intelligence in Healthcare and Education #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Radiology practices and education
- Minimax Lower Bounds for Transfer Learning with Linear and One-hidden Layer Neural Networks
2020/06/16 by Seyed Mohammadreza Mousavi Kalan, Kalan, Seyed Mohammadreza Mousavi, Zalan Fabian +5 · 3 citations
Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning and ELM
- Data augmentation for deep learning based accelerated MRI reconstruction\n with limited data
2021/06/28 by Zalan Fabian, Reinhard Heckel, Fabian, Zalan +3 · 2 citations
Engineering · Medicine · #Advanced MRI Techniques and Applications #Advanced X-ray and CT Imaging #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #I.2 #I.4 #Image and Video Processing (eess.IV) #J.3 #Machine Learning (cs.LG) #Medical Imaging Techniques and Applications #Sparse and Compressive Sensing Techniques #electronic engineering #information engineering
- CUDA: Convolution-based Unlearnable Datasets
2023/03/07 by Vinu Sankar Sadasivan, Mahdi Soltanolkotabi, Sadasivan, Vinu Sankar +3 · 2 citations
Computer Science · Medicine · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #COVID-19 diagnosis using AI
- Provable Multi-Task Representation Learning by Two-Layer ReLU Neural Networks
2023/07/13 by Liam Collins, Collins, Liam, Hamed Hassani +7 · 2 citations
Computer Science · #Domain Adaptation and Few-Shot Learning #Stochastic Gradient Optimization Techniques #Adversarial Robustness in Machine Learning
- Learning Provably Robust Estimators for Inverse Problems via Jittering
2023/07/24 by Anselm Krainovic, Krainovic, Anselm, Mahdi Soltanolkotabi +3 · 2 citations
Computer Science · Engineering · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Signal Denoising Methods #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #Photoacoustic and Ultrasonic Imaging #Sparse and Compressive Sensing Techniques #electronic engineering #information engineering
- Emergence and Evolution of Interpretable Concepts in Diffusion Models
2025/04/21 by Berk Tınaz, Tinaz, Berk, Zalan Fabian +3 · 5 citations
Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #I.2.10 #I.2.6 #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #Semantic Web and Ontologies #electronic engineering #information engineering
- The Rich and the Simple: On the Implicit Bias of Adam and SGD
2025/05/29 by Bhavya Vasudeva, J Lee, Vasudeva, Bhavya +5 · 6 citations
Psychology · #Philosophy and Theoretical Science
- Theoretical Insights Into Multiclass Classification: A High-dimensional Asymptotic View
2020/11/16 by Christos Thrampoulidis, Thrampoulidis, Christos, Samet Oymak +3 · 1 citation
Computer Science · Mathematics · #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Statistical Methods and Inference #Statistics Theory (math.ST)
- Understanding Overparameterization in Generative Adversarial Networks
2021/04/12 by Yogesh Balaji, Mohammadmahdi Sajedi, Balaji, Yogesh +11 · 1 citation
Computer Science · Physics and Astronomy · #Generative Adversarial Networks and Image Synthesis #Stochastic Gradient Optimization Techniques #Model Reduction and Neural Networks
- SSFL: Tackling Label Deficiency in Federated Learning via Personalized Self-Supervision
2021/10/06 by Chaoyang He, Zhengyu Yang, He, Chaoyang +9 · 2 citations
Computer Science · Engineering · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Mobile Crowdsensing and Crowdsourcing #Privacy-Preserving Technologies in Data #Traffic Prediction and Management Techniques
- Polynomially Coded Regression: Optimal Straggler Mitigation via Data Encoding
2018/05/24 by Songze Li, Seyed Mohammadreza Mousavi Kalan, Li, Songze +7 · 2 citations
Computer Science · Engineering · #Distributed #Distributed Sensor Networks and Detection Algorithms #Error Correcting Code Techniques #FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning (cs.LG) #Parallel #Sparse and Compressive Sensing Techniques #and Cluster Computing (cs.DC)
- SMILE: Scaling Mixture-of-Experts with Efficient Bi-level Routing
2022/12/10 by Chaoyang He, He, Chaoyang, Shuai Zheng +11 · 1 citation
Computer Science · Engineering · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Privacy-Preserving Technologies in Data #Sparse and Compressive Sensing Techniques
- The Geometry of Self-supervised Learning Models and its Impact on Transfer Learning
2022/09/18 by Romain Cosentino, Sarath Shekkizhar, Cosentino, Romain +7 · 1 citation
Computer Science · Engineering · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification #Medical Imaging and Analysis
- FoNE: Precise Single-Token Number Embeddings via Fourier Features
2025/02/13 by Tianyi Zhou, Zhou, Tianyi, Deqing Fu +7 · 2 citations
Computer Science · #Handwritten Text Recognition Techniques #Chaos-based Image/Signal Encryption #Algorithms and Data Compression
- Theoretical Insights into Overparameterized Models in Multi-Task and Replay-Based Continual Learning
2024/08/29 by Mohammadamin Banayeeanzade, Banayeeanzade, Amin, Mahdi Soltanolkotabi +3 · 1 citation
Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG)