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07/18/2022
GLEAM: Greedy Learning for Large-Scale Accelerated MRI Reconstruction
Unrolled neural networks have recently achieved state-of-the-art acceler...
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05/17/2022
Unraveling Attention via Convex Duality: Analysis and Interpretations of Vision Transformers
Vision transformers using self-attention or its proposed alternatives ha...
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04/21/2022
Scale-Equivariant Unrolled Neural Networks for Data-Efficient Accelerated MRI Reconstruction
Unrolled neural networks have enabled state-of-the-art reconstruction pe...
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02/02/2022
Fast Convex Optimization for Two-Layer ReLU Networks: Equivalent Model Classes and Cone Decompositions
We develop fast algorithms and robust software for convex optimization o...
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07/12/2021
Hidden Convexity of Wasserstein GANs: Interpretable Generative Models with Closed-Form Solutions
Generative Adversarial Networks (GANs) are commonly used for modeling co...
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03/02/2021
Demystifying Batch Normalization in ReLU Networks: Equivalent Convex Optimization Models and Implicit Regularization
Batch Normalization (BN) is a commonly used technique to accelerate and ...
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12/24/2020
Vector-output ReLU Neural Network Problems are Copositive Programs: Convex Analysis of Two Layer Networks and Polynomial-time Algorithms
We describe the convex semi-infinite dual of the two-layer vector-output...
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12/09/2020