Mahdi Soltanolkotabi
34 papers · 2016–2026 · 9 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 9 separate collaboration groups - the largest holds only 47% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Mahdi Soltanolkotabi?
5 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Zalan Fabian, Salman Avestimehr, Berk Tinaz
16 papers
· 2020–2026
· ICML, NeurIPS, COLT
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When Both Layers Learn: Training Dynamics of Representing Linear Models via ReLU Networks
COLT 2026
MediConfusion: Can you trust your AI radiologist? Probing the reliability of multimodal medical foundation models
ICLR 2025
Adapt and Diffuse: Sample-adaptive Reconstruction via Latent Diffusion Models
ICML 2024
DiracDiffusion: Denoising and Incremental Reconstruction with Assured Data-Consistency
ICML 2024
A Data-Free Approach to Mitigate Catastrophic Forgetting in Federated Class Incremental Learning for Vision Tasks
NeurIPS 2023
CUDA: Convolution-Based Unlearnable Datasets
CVPR 2023
Implicit Balancing and Regularization: Generalization and Convergence Guarantees for Overparameterized Asymmetric Matrix Sensing
COLT 2023
Learning Provably Robust Estimators for Inverse Problems via Jittering
NeurIPS 2023
FedNLP: Benchmarking Federated Learning Methods for Natural Language Processing Tasks
NAACL 2022
HUMUS-Net: Hybrid Unrolled Multi-scale Network Architecture for Accelerated MRI Reconstruction
NeurIPS 2022
Data augmentation for deep learning based accelerated MRI reconstruction with limited data
ICML 2021
PipeTransformer: Automated Elastic Pipelining for Distributed Training of Large-scale Models
ICML 2021
Small random initialization is akin to spectral learning: Optimization and generalization guarantees for overparameterized low-rank matrix reconstruction
NeurIPS 2021
Understanding Over-parameterization in Generative Adversarial Networks
ICLR 2021
Compressive sensing with un-trained neural networks: Gradient descent finds a smooth approximation
ICML 2020
Minimax Lower Bounds for Transfer Learning with Linear and One-hidden Layer Neural Networks
NeurIPS 2020