| 2026 | CPAIOR | Optimization Over Trained (and Sparse) Neural Networks: A Surrogate Within a Surrogate. | Hung Pham, Aiden Ren, Ibrahim Tahir, Jiatai Tong, Thiago Serra |
| 2026 | CPAIOR | Optimization over Trained Neural Networks: Going Large with Gradient-Based Algorithms. | Jiatai Tong, Yilin Zhu, Thiago Serra, Samuel Burer |
| 2024 | CPAIOR | Optimization over Trained Neural Networks: Taking a Relaxing Walk. | Jiatai Tong, Junyang Cai, Thiago Serra |
| 2023 | AAAI | Optimal Decision Diagrams for Classification. | Alexandre M. Florio, Pedro Martins, Maximilian Schiffer, Thiago Serra, Thibaut Vidal |
| 2023 | CPAIOR | Getting Away with More Network Pruning: From Sparsity to Geometry and Linear Regions. | Junyang Cai, Khai-Nguyen Nguyen, Nishant Shrestha, Aidan Good, Ruisen Tu, Xin Yu, Shandian Zhe, Thiago Serra |
| 2022 | CPAIOR | Training Thinner and Deeper Neural Networks: Jumpstart Regularization. | Carles Roger Riera Molina, Camilo Rey, Thiago Serra, Eloi Puertas, Oriol Pujol |
| 2022 | ICML | The Combinatorial Brain Surgeon: Pruning Weights That Cancel One Another in Neural Networks. | Xin Yu, Thiago Serra, Srikumar Ramalingam, Shandian Zhe |
| 2020 | AAAI | Empirical Bounds on Linear Regions of Deep Rectifier Networks. | Thiago Serra, Srikumar Ramalingam |
| 2020 | CPAIOR | Enumerative Branching with Less Repetition. | Thiago Serra |
| 2020 | CPAIOR | Lossless Compression of Deep Neural Networks. | Thiago Serra, Abhinav Kumar, Srikumar Ramalingam |
| 2020 | ISAIM | Empirical Bounds on Linear Regions of Deep Rectifier Networks. | Thiago Serra, Srikumar Ramalingam |
| 2019 | CPAIOR | Last-Mile Scheduling Under Uncertainty. | Thiago Serra, Arvind U. Raghunathan, David Bergman, John N. Hooker, Shingo Kobori |
| 2018 | ICML | Bounding and Counting Linear Regions of Deep Neural Networks. | Thiago Serra, Christian Tjandraatmadja, Srikumar Ramalingam |
| 2012 | CP | The Offshore Resources Scheduling Problem: Detailing a Constraint Programming Approach. | Thiago Serra, Gilberto Nishioka, Fernando J. M. Marcellino |