| Repairing multiple failures for scalar MDS codes J Mardia, B Bartan, M Wootters IEEE Transactions on Information Theory 65 (5), 2661-2672, 2018 | 44 | 2018 |
| Discrete linear canonical transform based on hyperdifferential operators A Koç, B Bartan, HM Ozaktas IEEE Transactions on Signal Processing 67 (9), 2237-2248, 2019 | 32 | 2019 |
| Debiasing distributed second order optimization with surrogate sketching and scaled regularization M Derezinski, B Bartan, M Pilanci, MW Mahoney Advances in Neural Information Processing Systems 33, 2020 | 29 | 2020 |
| Straggler Resilient Serverless Computing Based on Polar Codes B Bartan, M Pilanci 2019 57th Annual Allerton Conference on Communication, Control, and …, 2019 | 29* | 2019 |
| Sparse representation of two-and three-dimensional images with fractional Fourier, Hartley, linear canonical, and Haar wavelet transforms A Koç, B Bartan, E Gundogdu, T Çukur, HM Ozaktas Expert Systems with Applications 77, 247-255, 2017 | 28 | 2017 |
| Neural Spectrahedra and Semidefinite Lifts: Global Convex Optimization of Polynomial Activation Neural Networks in Fully Polynomial-Time B Bartan, M Pilanci arXiv preprint arXiv:2101.02429, 2021 | 23 | 2021 |
| Distributed Sketching for Randomized Optimization: Exact Characterization, Concentration and Lower Bounds B Bartan, M Pilanci IEEE Transactions on Information Theory, 2023, 2023 | 20* | 2023 |
| 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 (ICLR) 10, 2022 | 20 | 2022 |
| Repairing multiple failures for scalar MDS codes B Bartan, M Wootters 2017 55th Annual Allerton Conference on Communication, Control, and …, 2017 | 18 | 2017 |
| Convex Neural Autoregressive Models: Towards Tractable, Expressive, and Theoretically-Backed Models for Sequential Forecasting and Generation V Gupta, B Bartan, T Ergen, M Pilanci ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 14* | 2021 |
| Training Quantized Neural Networks to Global Optimality via Semidefinite Programming B Bartan, M Pilanci Proceedings of the 38th International Conference on Machine Learning, 2021 | 11 | 2021 |
| Adaptive hashing for model counting J Kuck, T Dao, S Zhao, B Bartan, A Sabharwal, S Ermon Uncertainty in Artificial Intelligence, 271-280, 2020 | 11 | 2020 |
| Convex Relaxations of Convolutional Neural Nets B Bartan, M Pilanci ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 6 | 2019 |
| Neural Fisher Discriminant Analysis: Optimal Neural Network Embeddings in Polynomial Time B Bartan, M Pilanci International Conference on Machine Learning, 1647-1663, 2022 | 4 | 2022 |
| Discrete scaling based on operator theory A Koç, B Bartan, HM Ozaktas Digital Signal Processing, 102904, 2020 | 3 | 2020 |
| Digital computation of fractional Fourier and linear canonical transforms and sparse image representation A Koc, HM Ozaktas, B Bartan, E Gundogdu, T Cukur 2017 Asia-Pacific Signal and Information Processing Association Annual …, 2017 | 3 | 2017 |
| Randomized Polar Codes for Anytime Distributed Machine Learning B Bartan, M Pilanci IEEE Journal on Selected Areas in Information Theory, 2023 | 2 | 2023 |
| Convex Optimization of Deep Polynomial and ReLU Activation Neural Networks B Bartan, M Pilanci ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 2 | 2023 |
| Moccasin: Efficient Tensor Rematerialization for Neural Networks B Bartan, H Li, H Teague, C Lott, B Dilkina International Conference on Machine Learning (ICML) 2023, 2023 | 2 | 2023 |
| Neural DAG Scheduling via One-Shot Priority Sampling W Jeon, M Gagrani, B Bartan, WW Zeng, H Teague, P Zappi, C Lott International Conference on Learning Representations (ICLR) 11, 2023 | 2 | 2023 |
Mert PilanciStanford University在 stanford.edu 的电子邮件经过验证
