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2020 – today
- 2024
[c8]Arda Sahiner, Tolga Ergen, Batu Ozturkler, John M. Pauly, Morteza Mardani, Mert Pilanci:
Scaling Convex Neural Networks with Burer-Monteiro Factorization. ICLR 2024- 2023
- [c7]Batu Ozturkler, Nikolay Malkin, Zhen Wang, Nebojsa Jojic:
ThinkSum: Probabilistic reasoning over sets using large language models. ACL (1) 2023: 1216-1239 - [c6]Batu Ozturkler, Chao Liu, Benjamin Eckart, Morteza Mardani, Jiaming Song, Jan Kautz:
SMRD: SURE-Based Robust MRI Reconstruction with Diffusion Models. MICCAI (3) 2023: 199-209 - [i9]Batu Ozturkler, Chao Liu, Benjamin Eckart, Morteza Mardani, Jiaming Song, Jan Kautz:
SMRD: SURE-based Robust MRI Reconstruction with Diffusion Models. CoRR abs/2310.01799 (2023) - 2022
- [c5]Tolga Ergen, Arda Sahiner, Batu Ozturkler, John M. Pauly, Morteza Mardani, Mert Pilanci:
Demystifying Batch Normalization in ReLU Networks: Equivalent Convex Optimization Models and Implicit Regularization. ICLR 2022 - [c4]Arda Sahiner, Tolga Ergen, Batu Ozturkler, Burak Bartan, John M. Pauly, Morteza Mardani, Mert Pilanci:
Hidden Convexity of Wasserstein GANs: Interpretable Generative Models with Closed-Form Solutions. ICLR 2022 - [c3]Arda Sahiner, Tolga Ergen, Batu Ozturkler, John M. Pauly, Morteza Mardani, Mert Pilanci:
Unraveling Attention via Convex Duality: Analysis and Interpretations of Vision Transformers. ICML 2022: 19050-19088 - [c2]Arjun D. Desai, Beliz Gunel, Batu M. Ozturkler, Harris Beg, Shreyas Vasanawala, Brian A. Hargreaves, Christopher Ré, John M. Pauly, Akshay S. Chaudhari:
VORTEX: Physics-Driven Data Augmentations Using Consistency Training for Robust Accelerated MRI Reconstruction. MIDL 2022: 325-352 - [i8]Arda Sahiner, Tolga Ergen, Batu Ozturkler, John M. Pauly, Morteza Mardani, Mert Pilanci:
Unraveling Attention via Convex Duality: Analysis and Interpretations of Vision Transformers. CoRR abs/2205.08078 (2022) - [i7]Batu Ozturkler, Arda Sahiner, Tolga Ergen, Arjun D. Desai, Christopher M. Sandino, Shreyas Vasanawala, John M. Pauly, Morteza Mardani, Mert Pilanci:
GLEAM: Greedy Learning for Large-Scale Accelerated MRI Reconstruction. CoRR abs/2207.08393 (2022) - [i6]Batu Ozturkler, Nikolay Malkin, Zhen Wang, Nebojsa Jojic:
ThinkSum: Probabilistic reasoning over sets using large language models. CoRR abs/2210.01293 (2022) - [i5]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:
Scale-Agnostic Super-Resolution in MRI using Feature-Based Coordinate Networks. CoRR abs/2210.08676 (2022) - 2021
- [c1]Arda Sahiner, Morteza Mardani, Batu Ozturkler, Mert Pilanci, John M. Pauly:
Convex Regularization behind Neural Reconstruction. ICLR 2021 - [i4]Tolga Ergen, Arda Sahiner, Batu Ozturkler, John M. Pauly, Morteza Mardani, Mert Pilanci:
Demystifying Batch Normalization in ReLU Networks: Equivalent Convex Optimization Models and Implicit Regularization. CoRR abs/2103.01499 (2021) - [i3]Arda Sahiner, Tolga Ergen, Batu Ozturkler, Burak Bartan, John M. Pauly, Morteza Mardani, Mert Pilanci:
Hidden Convexity of Wasserstein GANs: Interpretable Generative Models with Closed-Form Solutions. CoRR abs/2107.05680 (2021) - [i2]Arjun D. Desai, Batu M. Ozturkler, Christopher M. Sandino, Shreyas Vasanawala, Brian A. Hargreaves, Christopher Ré, John M. Pauly, Akshay S. Chaudhari:
Noise2Recon: A Semi-Supervised Framework for Joint MRI Reconstruction and Denoising. CoRR abs/2110.00075 (2021) - 2020
- [i1]Arda Sahiner, Morteza Mardani, Batu Ozturkler, Mert Pilanci, John M. Pauly:
Convex Regularization Behind Neural Reconstruction. CoRR abs/2012.05169 (2020)
Coauthor Index
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