In situ width estimation of biofuel plant stems. - Arda Sahiner; Franklin Heng; Adith Balamurugan; Avideh Zakhor (Computational Imaging, 2019)

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 (ICLR, 2021)

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

Fast Convex Optimization for Two-Layer ReLU Networks: Equivalent Model Classes and Cone Decompositions. - Aaron Mishkin; Arda Sahiner; Mert Pilanci (ICML, 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)

Scale-Equivariant Unrolled Neural Networks for Data-Efficient Accelerated MRI Reconstruction. - Beliz Gunel; Arda Sahiner; Arjun D. Desai; Akshay S. Chaudhari; Shreyas Vasanawala; Mert Pilanci; John M. Pauly (MICCAI (6), 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)

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