Sahiner, Arda

8 publications

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

ICLR 2022 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

ICML 2022 Fast Convex Optimization for Two-Layer ReLU Networks: Equivalent Model Classes and Cone Decompositions Aaron Mishkin, Arda Sahiner, 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

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

ICLR 2021 Convex Regularization Behind Neural Reconstruction Arda Sahiner, Morteza Mardani, Batu Ozturkler, Mert Pilanci, John M. Pauly

NeurIPSW 2021 Greedy Learning for Large-Scale Neural MRI Reconstruction Batu Ozturkler, Arda Sahiner, Tolga Ergen, Arjun D Desai, John M. Pauly, Shreyas Vasanawala, Morteza Mardani, Mert Pilanci

ICLR 2021 Vector-Output ReLU Neural Network Problems Are Copositive Programs: Convex Analysis of Two Layer Networks and Polynomial-Time Algorithms Arda Sahiner, Tolga Ergen, John M. Pauly, Mert Pilanci