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20082023
most citedFourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators

455 citations · 1.5k across the 28 of their papers we have counts for

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7 papers · 1 filter

cs.LG2023★ 37 cited

A Variational Perspective on Solving Inverse Problems with Diffusion Models

Morteza Mardani, Jiaming Song, Jan Kautz +1

Diffusion models have emerged as a key pillar of foundation models in visual domains. One of their critical applications is to universally solve different downstream inverse tasks…

cs.LG2022★ 3 cited

Unraveling Attention via Convex Duality: Analysis and Interpretations of Vision Transformers

Arda Sahiner, Tolga Ergen, Batu Ozturkler +3

Vision transformers using self-attention or its proposed alternatives have demonstrated promising results in many image related tasks. However, the underpinning inductive bias of a…

cs.LG2021★ 3 cited

Hidden Convexity of Wasserstein GANs: Interpretable Generative Models with Closed-Form Solutions

Arda Sahiner, Tolga Ergen, Batu Ozturkler +4

Generative Adversarial Networks (GANs) are commonly used for modeling complex distributions of data. Both the generators and discriminators of GANs are often modeled by neural netw…

cs.LG2021★ 9 cited

Demystifying Batch Normalization in ReLU Networks: Equivalent Convex Optimization Models and Implicit Regularization

Tolga Ergen, Arda Sahiner, Batu Ozturkler +3

Batch Normalization (BN) is a commonly used technique to accelerate and stabilize training of deep neural networks. Despite its empirical success, a full theoretical understanding…

cs.LG2020★ 6 cited

Convex Regularization Behind Neural Reconstruction

Arda Sahiner, Morteza Mardani, Batu Ozturkler +2

Neural networks have shown tremendous potential for reconstructing high-resolution images in inverse problems. The non-convex and opaque nature of neural networks, however, hinders…

cs.LG2019★ 5 cited

Degrees of Freedom Analysis of Unrolled Neural Networks

Morteza Mardani, Qingyun Sun, Vardan Papyan +3

Unrolled neural networks emerged recently as an effective model for learning inverse maps appearing in image restoration tasks. However, their generalization risk (i.e., test mean-…

cs.LG2016★ 5 cited

Tracking Tensor Subspaces with Informative Random Sampling for Real-Time MR Imaging

Morteza Mardani, Georgios B. Giannakis, Kamil Ugurbil

Magnetic resonance imaging (MRI) nowadays serves as an important modality for diagnostic and therapeutic guidance in clinics. However, the {\it slow acquisition} process, the dynam…