| 2025 | KDD | MapExplorer: New Content Generation from Low-Dimensional Visualizations. | Xingjian Zhang, Ziyang Xiong, Shixuan Liu, Yutong Xie, Tolga Ergen, Dongsub Shim, Hua Xu, Honglak Lee, Qiaozhu Mei |
| 2025 | NAACL | MASSW: A New Dataset and Benchmark Tasks for AI-Assisted Scientific Workflows. | Xingjian Zhang, Yutong Xie, Jin Huang, Jinge Ma, Zhaoying Pan, Qijia Liu, Ziyang Xiong, Tolga Ergen, Dongsub Shim, Honglak Lee, Qiaozhu Mei |
| 2024 | ICLR | Scaling Convex Neural Networks with Burer-Monteiro Factorization. | Arda Sahiner, Tolga Ergen, Batu Ozturkler, John M. Pauly, Morteza Mardani, Mert Pilanci |
| 2023 | ICLR | Globally Optimal Training of Neural Networks with Threshold Activation Functions. | Tolga Ergen, Halil Ibrahim Gulluk, Jonathan Lacotte, Mert Pilanci |
| 2023 | ICLR | Parallel Deep Neural Networks Have Zero Duality Gap. | Yifei Wang, Tolga Ergen, 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 | Unraveling Attention via Convex Duality: Analysis and Interpretations of Vision Transformers. | Arda Sahiner, Tolga Ergen, Batu Ozturkler, John M. Pauly, Morteza Mardani, 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 | ICLR | Implicit Convex Regularizers of CNN Architectures: Convex Optimization of Two- and Three-Layer Networks in Polynomial Time. | Tolga Ergen, Mert Pilanci |
| 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 | ICML | Global Optimality Beyond Two Layers: Training Deep ReLU Networks via Convex Programs. | Tolga Ergen, Mert Pilanci |
| 2021 | ICML | Revealing the Structure of Deep Neural Networks via Convex Duality. | Tolga Ergen, Mert Pilanci |
| 2020 | AISTATS | Convex Geometry of Two-Layer ReLU Networks: Implicit Autoencoding and Interpretable Models. | Tolga Ergen, Mert Pilanci |
| 2020 | ICML | Neural Networks are Convex Regularizers: Exact Polynomial-time Convex Optimization Formulations for Two-layer Networks. | Mert Pilanci, Tolga Ergen |