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Thiago Serra
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Cited by
Year
Bounding and Counting Linear Regions of Deep Neural Networks
T Serra, C Tjandraatmadja, S Ramalingam
International Conference on Machine Learning (ICML), 2018
3212018
Lossless compression of deep neural networks
T Serra, A Kumar, S Ramalingam
International Conference on the Integration of Constraint Programming …, 2020
642020
Empirical Bounds on Linear Regions of Deep Rectifier Networks
T Serra, S Ramalingam
AAAI Conference on Artificial Intelligence (AAAI), 2020
442020
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
432022
Compact representation of near-optimal integer programming solutions
T Serra, JN Hooker
Mathematical Programming 182, 199-232, 2020
312020
When Deep Learning Meets Polyhedral Theory: A Survey
J Huchette, G Muñoz, T Serra, C Tsay
arXiv preprint arXiv:2305.00241, 2023
302023
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
302018
Seamless multimodal transportation scheduling
AU Raghunathan, D Bergman, JN Hooker, T Serra, S Kobori
INFORMS Journal on Computing 36 (2), 336-358, 2024
29*2024
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
252021
Equivalent and Approximate Transformations of Deep Neural Networks
A Kumar, T Serra, S Ramalingam
arXiv preprint arXiv:1905.11428, 2019
232019
Last-Mile Scheduling Under Uncertainty
T Serra, AU Raghunathan, D Bergman, J Hooker, S Kobori
International Conference on the Integration of Constraint Programming …, 2019
192019
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
162022
Optimal Decision Diagrams for Classification
AM Florio, P Martins, M Schiffer, T Serra, T Vidal
AAAI Conference on Artificial Intelligence (AAAI), 2023
122023
System and method for scheduling multiple modes of transport with incomplete information
T Serra, A Raghunathan, D Bergman
US Patent 11,085,781, 2021
102021
Reformulating the disjunctive cut generating linear program
T Serra
Annals of Operations Research 295 (1), 363-384, 2020
92020
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
92011
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
72022
Getting away with more network pruning: From sparsity to geometry and linear regions
J Cai, KN Nguyen, N Shrestha, A Good, R Tu, X Yu, S Zhe, T Serra
International Conference on Integration of Constraint Programming …, 2023
62023
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
62012
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
62005
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Articles 1–20