| Vector-output relu neural network problems are copositive programs: Convex analysis of two layer networks and polynomial-time algorithms A Sahiner, T Ergen, J Pauly, M Pilanci International Conference on Learning Representations, 2021 | 40 | 2021 |
| Demystifying batch normalization in relu networks: Equivalent convex optimization models and implicit regularization T Ergen, A Sahiner, B Ozturkler, J Pauly, M Mardani, M Pilanci International Conference on Learning Representations, 2022 | 31 | 2022 |
| Fast convex optimization for two-layer relu networks: Equivalent model classes and cone decompositions A Mishkin, A Sahiner, M Pilanci International Conference on Machine Learning, 2022 | 28 | 2022 |
| Convex regularization behind neural reconstruction A Sahiner, M Mardani, B Ozturkler, M Pilanci, J Pauly International Conference on Learning Representations, 2021 | 28 | 2021 |
| Unraveling Attention via Convex Duality: Analysis and Interpretations of Vision Transformers A Sahiner, T Ergen, B Ozturkler, J Pauly, M Mardani, M Pilanci International Conference on Machine Learning, 2022 | 27 | 2022 |
| Hidden convexity of wasserstein gans: Interpretable generative models with closed-form solutions A Sahiner, T Ergen, B Ozturkler, B Bartan, J Pauly, M Mardani, M Pilanci International Conference on Learning Representations, 2022 | 20 | 2022 |
| Scale-Equivariant Unrolled Neural Networks for Data-Efficient Accelerated MRI Reconstruction B Gunel, A Sahiner, AD Desai, AS Chaudhari, S Vasanawala, M Pilanci, ... International Conference on Medical Image Computing and Computer Assisted …, 2022 | 6 | 2022 |
| Gleam: greedy learning for large-scale accelerated MRI reconstruction B Ozturkler, A Sahiner, T Ergen, AD Desai, CM Sandino, S Vasanawala, ... arXiv preprint arXiv:2207.08393, 2022 | 5 | 2022 |
| Greedy learning for large-scale neural MRI reconstruction B Ozturkler, A Sahiner, T Ergen, AD Desai, JM Pauly, S Vasanawala, ... NeurIPS 2021 Workshop on Deep Learning and Inverse Problems, 0 | 2 | |
| IN SITU WIDTH ESTIMATION OF BIOFUEL PLANT STEMS A Sahiner, F Heng, A Balamurugan, A Zakhor IS&T International Symposium on Electronic Imaging, 2019 | 1 | 2019 |
| Scalable and Interpretable Neural MRI Reconstruction via Layer-Wise Training B Ozturkler, A Sahiner, M Pilanci, S Vasanawala, J Pauly, M Mardani International Society for Magnetic Resonance in Medicine, 0 | 1* | |
| Convex Neural Networks AE Sahiner Stanford University, 2023 | | 2023 |
| Double-electron capture by highly-ionized atoms isolated at very low energy S Fogwell Hoogerheide, JM Dreiling, A Sahiner, JN Tan APS Division of Atomic, Molecular and Optical Physics Meeting Abstracts 2016 …, 2016 | | 2016 |
| Evidence of Double-Electron Capture by Highly-ionized Atoms Isolated at Very Low Energy S Fogwell Hoogerheide, A Sahiner, JN Tan APS Division of Atomic, Molecular and Optical Physics Meeting Abstracts 2015 …, 2015 | | 2015 |
| Greedy Learning for Memory-Efficient Self-Supervised MRI Reconstruction A Gupta, BM Ozturkler, A Sahiner, T Ergen, AD Desai, S Vasanawala, ... | | |
| Scaling Convex Neural Networks with Burer-Monteiro Factorization A Sahiner, T Ergen, B Ozturkler, JM Pauly, M Mardani, M Pilanci | | |
| Parallel Greedy Learning for Accelerating Cardiac Cine MRI BM Ozturkler, A Sahiner, T Ergen, AD Desai, CM Sandino, S Vasanawala, ... | | |
Mert PilanciStanford UniversityEmail verificata su stanford.edu
