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Featured Co-authors

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∙ 10/04/2022

ThinkSum: Probabilistic reasoning over sets using large language models

Large language models (LLMs) have a substantial capacity for high-level ...

1 Batu Ozturkler, et al. ∙

∙ 07/18/2022

GLEAM: Greedy Learning for Large-Scale Accelerated MRI Reconstruction

Unrolled neural networks have recently achieved state-of-the-art acceler...

9 Batu Ozturkler, et al. ∙

∙ 05/17/2022

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

Vision transformers using self-attention or its proposed alternatives ha...

14 Arda Sahiner, et al. ∙

∙ 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...

13 Arda Sahiner, et al. ∙

∙ 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 ...

16 Tolga Ergen, et al. ∙

∙ 12/09/2020

Convex Regularization Behind Neural Reconstruction

Neural networks have shown tremendous potential for reconstructing high-...

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