Bounding and Counting Linear Regions of Deep Neural Networks T Serra, C Tjandraatmadja, S Ramalingam International Conference on Machine Learning (ICML), 2018 | 293 | 2018 |
Lossless compression of deep neural networks T Serra, A Kumar, S Ramalingam International Conference on the Integration of Constraint Programming …, 2020 | 55 | 2020 |
Empirical Bounds on Linear Regions of Deep Rectifier Networks T Serra, S Ramalingam AAAI Conference on Artificial Intelligence (AAAI), 2020 | 42 | 2020 |
Compact representation of near-optimal integer programming solutions T Serra, JN Hooker Mathematical Programming 182, 199-232, 2020 | 28 | 2020 |
Seamless multimodal transportation scheduling AU Raghunathan, D Bergman, JN Hooker, T Serra, S Kobori INFORMS Journal on Computing 36 (2), 336-358, 2024 | 27* | 2024 |
The Combinatorial Brain Surgeon: Pruning Weights That Cancel One Another in Neural Networks X Yu, T Serra, S Ramalingam, S Zhe International Conference on Machine Learning, 25668-25683, 2022 | 27 | 2022 |
The Integrated Last-Mile Transportation Problem (ILMTP) AU Raghunathan, D Bergman, J Hooker, T Serra, S Kobori International Conference on Automated Planning and Scheduling (ICAPS), 2018 | 27 | 2018 |
When Deep Learning Meets Polyhedral Theory: A Survey J Huchette, G Muñoz, T Serra, C Tsay arXiv preprint arXiv:2305.00241, 2023 | 23 | 2023 |
Equivalent and Approximate Transformations of Deep Neural Networks A Kumar, T Serra, S Ramalingam arXiv preprint arXiv:1905.11428, 2019 | 22 | 2019 |
Scaling Up Exact Neural Network Compression by ReLU Stability T Serra, A Kumar, X Yu, S Ramalingam Advances in Neural Processing Information Systems (NeurIPS), 2021 | 19 | 2021 |
Last-Mile Scheduling Under Uncertainty T Serra, AU Raghunathan, D Bergman, J Hooker, S Kobori International Conference on the Integration of Constraint Programming …, 2019 | 17 | 2019 |
Template-based minor embedding for adiabatic quantum optimization T Serra, T Huang, AU Raghunathan, D Bergman INFORMS Journal on Computing 34 (1), 427-439, 2022 | 14 | 2022 |
Optimal Decision Diagrams for Classification AM Florio, P Martins, M Schiffer, T Serra, T Vidal AAAI Conference on Artificial Intelligence (AAAI), 2023 | 10 | 2023 |
System and method for scheduling multiple modes of transport with incomplete information T Serra, A Raghunathan, D Bergman US Patent 11,085,781, 2021 | 10 | 2021 |
Reformulating the disjunctive cut generating linear program T Serra Annals of Operations Research 295 (1), 363-384, 2020 | 9 | 2020 |
A Constraint-Based Scheduling of Offshore Well Development Activities with Inventory Management T Serra, G Nishioka, FJM Marcellino Brazilian Symposium on Operations Research (SBPO), 2011 | 9 | 2011 |
Recall distortion in neural network pruning and the undecayed pruning algorithm A Good, J Lin, X Yu, H Sieg, M Fergurson, S Zhe, J Wieczorek, T Serra Advances in Neural Information Processing Systems (NeurIPS) 35, 32762-32776, 2022 | 6 | 2022 |
The Offshore Resources Scheduling Problem: Detailing a Constraint Programming Approach T Serra, G Nishioka, F Marcellino International Conference on Principles and Practice of Constraint …, 2012 | 6 | 2012 |
Polarization Mode Dispersion (PMD) Field Measurements: Audit of Newly Installed Fiber Plants S Barcelos, T Serra, RF Rando, EL Rigon, NK Sasaki, W Arellano, ... National Fiber Optic Engineers Conference (NFOEC), 2005 | 6 | 2005 |
Enumerative Branching with Less Repetition T Serra International Conference on the Integration of Constraint Programming …, 2020 | 5 | 2020 |