Convex Regularization behind Neural Reconstruction. - Arda Sahiner; Morteza Mardani; Batu Ozturkler; Mert Pilanci; John M. Pauly (ICLR, 2021)

Noise2Recon: A Semi-Supervised Framework for Joint MRI Reconstruction and Denoising. - Arjun D. Desai; Batu M. Ozturkler; Christopher M. Sandino; Shreyas Vasanawala; Brian A. Hargreaves; Christopher Ré; John M. Pauly; Akshay S. Chaudhari (CoRR, 2021)

Demystifying Batch Normalization in ReLU Networks: Equivalent Convex Optimization Models and Implicit Regularization. - Tolga Ergen; Arda Sahiner; Batu Ozturkler; John M. Pauly; Morteza Mardani; Mert Pilanci (ICLR, 2022)

Hidden Convexity of Wasserstein GANs: Interpretable Generative Models with Closed-Form Solutions. - Arda Sahiner; Tolga Ergen; Batu Ozturkler; Burak Bartan; John M. Pauly; Morteza Mardani; Mert Pilanci (ICLR, 2022)

Unraveling Attention via Convex Duality: Analysis and Interpretations of Vision Transformers. - Arda Sahiner; Tolga Ergen; Batu Ozturkler; John M. Pauly; Morteza Mardani; Mert Pilanci (ICML, 2022)

VORTEX: Physics-Driven Data Augmentations Using Consistency Training for Robust Accelerated MRI Reconstruction. - Arjun D. Desai; Beliz Gunel; Batu M. Ozturkler; Harris Beg; Shreyas Vasanawala; Brian A. Hargreaves; Christopher Ré; John M. Pauly; Akshay S. Chaudhari (MIDL, 2022)

GLEAM: Greedy Learning for Large-Scale Accelerated MRI Reconstruction. - Batu Ozturkler; Arda Sahiner; Tolga Ergen; Arjun D. Desai; Christopher M. Sandino; Shreyas Vasanawala; John M. Pauly; Morteza Mardani; Mert Pilanci (CoRR, 2022)

Scale-Agnostic Super-Resolution in MRI using Feature-Based Coordinate Networks. - Dave Van Veen; Rogier van der Sluijs; Batu Ozturkler; Arjun D. Desai; Christian Bluethgen; Robert D. Boutin; Marc H. Willis; Gordon Wetzstein; David B. Lindell; Shreyas Vasanawala; John M. Pauly; Akshay S. Chaudhari (CoRR, 2022)

ThinkSum: Probabilistic reasoning over sets using large language models. - Batu Ozturkler; Nikolay Malkin; Zhen Wang 041; Nebojsa Jojic (ACL (1), 2023)

SMRD: SURE-Based Robust MRI Reconstruction with Diffusion Models. - Batu Ozturkler; Chao Liu 064; Benjamin Eckart; Morteza Mardani; Jiaming Song; Jan Kautz (MICCAI (3), 2023)

Scaling Convex Neural Networks with Burer-Monteiro Factorization. - Arda Sahiner; Tolga Ergen; Batu Ozturkler; John M. Pauly; Morteza Mardani; Mert Pilanci (ICLR, 2024)