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ORCIDArda Sahiner
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2020 – today
- 2024
[c9]Arda Sahiner, Tolga Ergen, Batu Ozturkler, John M. Pauly, Morteza Mardani, Mert Pilanci:
Scaling Convex Neural Networks with Burer-Monteiro Factorization. ICLR 2024- 2022
- [c8]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 - [c7]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 - [c6]Aaron Mishkin, Arda Sahiner, Mert Pilanci:
Fast Convex Optimization for Two-Layer ReLU Networks: Equivalent Model Classes and Cone Decompositions. ICML 2022: 15770-15816 - [c5]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 - [c4]Beliz Gunel, Arda Sahiner, Arjun D. Desai, Akshay S. Chaudhari
, Shreyas Vasanawala, Mert Pilanci, John M. Pauly:
Scale-Equivariant Unrolled Neural Networks for Data-Efficient Accelerated MRI Reconstruction. MICCAI (6) 2022: 737-747 - [i8]Aaron Mishkin, Arda Sahiner, Mert Pilanci:
Fast Convex Optimization for Two-Layer ReLU Networks: Equivalent Model Classes and Cone Decompositions. CoRR abs/2202.01331 (2022) - [i7]Beliz Gunel, Arda Sahiner, Arjun D. Desai, Akshay S. Chaudhari, Shreyas Vasanawala, Mert Pilanci, John M. Pauly:
Scale-Equivariant Unrolled Neural Networks for Data-Efficient Accelerated MRI Reconstruction. CoRR abs/2204.10436 (2022) - [i6]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) - [i5]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) - 2021
- [c3]Arda Sahiner, Tolga Ergen, John M. Pauly, Mert Pilanci:
Vector-output ReLU Neural Network Problems are Copositive Programs: Convex Analysis of Two Layer Networks and Polynomial-time Algorithms. ICLR 2021 - [c2]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) - 2020
- [i2]Arda Sahiner, Morteza Mardani, Batu Ozturkler, Mert Pilanci, John M. Pauly:
Convex Regularization Behind Neural Reconstruction. CoRR abs/2012.05169 (2020) - [i1]Arda Sahiner, Tolga Ergen, John M. Pauly, Mert Pilanci:
Vector-output ReLU Neural Network Problems are Copositive Programs: Convex Analysis of Two Layer Networks and Polynomial-time Algorithms. CoRR abs/2012.13329 (2020)
2010 – 2019
- 2019
- [c1]Arda Sahiner, Franklin Heng, Adith Balamurugan, Avideh Zakhor:
In situ width estimation of biofuel plant stems. Computational Imaging 2019
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