| 2023 | ICASSP | Convex Optimization of Deep Polynomial and ReLU Activation Neural Networks. | Burak Bartan, Mert Pilanci |
| 2023 | ICLR | Neural DAG Scheduling via One-Shot Priority Sampling. | Wonseok Jeon, Mukul Gagrani, Burak Bartan, Weiliang Will Zeng, Harris Teague, Piero Zappi, Christopher Lott |
| 2023 | ICML | Moccasin: Efficient Tensor Rematerialization for Neural Networks. | Burak Bartan, Haoming Li, Harris Teague, Christopher Lott, Bistra Dilkina |
| 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 | Neural Fisher Discriminant Analysis: Optimal Neural Network Embeddings in Polynomial Time. | Burak Bartan, Mert Pilanci |
| 2021 | ICASSP | Convex Neural Autoregressive Models: Towards Tractable, Expressive, and Theoretically-Backed Models for Sequential Forecasting and Generation. | Vikul Gupta, Burak Bartan, Tolga Ergen, Mert Pilanci |
| 2021 | ICML | Training Quantized Neural Networks to Global Optimality via Semidefinite Programming. | Burak Bartan, Mert Pilanci |
| 2019 | ICASSP | Convex Relaxations of Convolutional Neural Nets. | Burak Bartan, Mert Pilanci |
| 2019 | UAI | Adaptive Hashing for Model Counting. | Jonathan Kuck, Tri Dao, Shenjia Zhao, Burak Bartan, Ashish Sabharwal, Stefano Ermon |