| 2024 | ICLR | Scaling Convex Neural Networks with Burer-Monteiro Factorization. | Arda Sahiner, Tolga Ergen, Batu Ozturkler, John M. Pauly, Morteza Mardani, Mert Pilanci |
| 2022 | ICLR | 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 |
| 2022 | ICLR | 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 |
| 2022 | ICML | Fast Convex Optimization for Two-Layer ReLU Networks: Equivalent Model Classes and Cone Decompositions. | Aaron Mishkin, Arda Sahiner, Mert Pilanci |
| 2022 | ICML | Unraveling Attention via Convex Duality: Analysis and Interpretations of Vision Transformers. | Arda Sahiner, Tolga Ergen, Batu Ozturkler, John M. Pauly, Morteza Mardani, Mert Pilanci |
| 2022 | MICCAI | 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 |
| 2021 | ICLR | 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 |
| 2021 | ICLR | Convex Regularization behind Neural Reconstruction. | Arda Sahiner, Morteza Mardani, Batu Ozturkler, Mert Pilanci, John M. Pauly |