Thiago Serra - RankMe

39 papers A* 7A 1B 5Misc 1Journal 24Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Making a Case for Research Collaboration Between Artificial Intelligence and Operations Research Experts. CoRR Radhika Kulkarni, Gianluca Brero, Yu Ding, Swati Gupta, Sven Koenig, Ramayya Krishnan, Thiago Serra, Phebe Vayanos, Segev Wasserkrug, Holly Wiberg
2025	J	`jnl`	Optimization over Trained (and Sparse) Neural Networks: A Surrogate within a Surrogate. CoRR Hung Pham, Aiden Ren, Ibrahim Tahir, Jiatai Tong, Thiago Serra
2024	J	`jnl`	Optimization Over Trained Neural Networks: Taking a Relaxing Walk. CoRR Jiatai Tong, Junyang Cai, Thiago Serra
2024	—	`conf`	Optimization over Trained Neural Networks: Taking a Relaxing Walk. CPAIOR (2) Jiatai Tong, Junyang Cai, Thiago Serra
2024	J	`jnl`	Seamless Multimodal Transportation Scheduling. INFORMS J. Comput. Arvind U. Raghunathan, David Bergman, John N. Hooker, Thiago Serra, Shingo Kobori
2023	J	`jnl`	Computational Tradeoffs of Optimization-Based Bound Tightening in ReLU Networks. CoRR Fabian Badilla, Marcos Goycoolea, Gonzalo Muñoz, Thiago Serra
2023	B	`conf`	Getting Away with More Network Pruning: From Sparsity to Geometry and Linear Regions. CPAIOR Junyang Cai, Khai-Nguyen Nguyen, Nishant Shrestha, Aidan Good, Ruisen Tu, Xin Yu, Shandian Zhe, Thiago Serra
2023	J	`jnl`	Getting Away with More Network Pruning: From Sparsity to Geometry and Linear Regions. CoRR Junyang Cai, Khai-Nguyen Nguyen, Nishant Shrestha, Aidan Good, Ruisen Tu, Xin Yu, Shandian Zhe, Thiago Serra
2023	A*	`conf`	Optimal Decision Diagrams for Classification. AAAI Alexandre M. Florio, Pedro Martins, Maximilian Schiffer, Thiago Serra, Thibaut Vidal
2023	J	`jnl`	When Deep Learning Meets Polyhedral Theory: A Survey. CoRR Joey Huchette, Gonzalo Muñoz, Thiago Serra, Calvin Tsay
2022	J	`jnl`	Optimal Decision Diagrams for Classification. CoRR Alexandre M. Florio, Pedro Martins, Maximilian Schiffer, Thiago Serra, Thibaut Vidal
2022	A*	`conf`	Recall Distortion in Neural Network Pruning and the Undecayed Pruning Algorithm. NeurIPS Aidan Good, Jiaqi Lin, Xin Yu, Hannah Sieg, Mikey Ferguson, Shandian Zhe, Jerzy Wieczorek, Thiago Serra
2022	J	`jnl`	Recall Distortion in Neural Network Pruning and the Undecayed Pruning Algorithm. CoRR Aidan Good, Jiaqi Lin, Hannah Sieg, Mikey Ferguson, Xin Yu, Shandian Zhe, Jerzy Wieczorek, Thiago Serra
2022	J	`jnl`	Template-Based Minor Embedding for Adiabatic Quantum Optimization. INFORMS J. Comput. Thiago Serra, Teng Huang, Arvind U. Raghunathan, David Bergman
2022	A*	`conf`	The Combinatorial Brain Surgeon: Pruning Weights That Cancel One Another in Neural Networks. ICML Xin Yu, Thiago Serra, Srikumar Ramalingam, Shandian Zhe
2022	J	`jnl`	The Combinatorial Brain Surgeon: Pruning Weights That Cancel One Another in Neural Networks. CoRR Xin Yu, Thiago Serra, Srikumar Ramalingam, Shandian Zhe
2022	B	`conf`	Training Thinner and Deeper Neural Networks: Jumpstart Regularization. CPAIOR Carles Roger Riera Molina, Camilo Rey, Thiago Serra, Eloi Puertas, Oriol Pujol
2022	J	`jnl`	Training Thinner and Deeper Neural Networks: Jumpstart Regularization. CoRR Carles Roger Riera Molina, Camilo Rey, Thiago Serra, Eloi Puertas, Oriol Pujol
2021	A*	`conf`	Scaling Up Exact Neural Network Compression by ReLU Stability. NeurIPS Thiago Serra, Xin Yu, Abhinav Kumar, Srikumar Ramalingam
2021	J	`jnl`	Scaling Up Exact Neural Network Compression by ReLU Stability. CoRR Thiago Serra, Xin Yu, Abhinav Kumar, Srikumar Ramalingam
2020	J	`jnl`	Compact representation of near-optimal integer programming solutions. Math. Program. Thiago Serra, John N. Hooker
2020	A*	`conf`	Empirical Bounds on Linear Regions of Deep Rectifier Networks. AAAI Thiago Serra, Srikumar Ramalingam
2020	Misc	`conf`	Empirical Bounds on Linear Regions of Deep Rectifier Networks. ISAIM Thiago Serra, Srikumar Ramalingam
2020	B	`conf`	Enumerative Branching with Less Repetition. CPAIOR Thiago Serra
2020	B	`conf`	Lossless Compression of Deep Neural Networks. CPAIOR Thiago Serra, Abhinav Kumar, Srikumar Ramalingam
2020	J	`jnl`	Lossless Compression of Deep Neural Networks. CoRR Thiago Serra, Abhinav Kumar, Srikumar Ramalingam
2020	J	`jnl`	MIPLIBing: Seamless Benchmarking of Mathematical Optimization Problems and Metadata Extensions. Oper. Res. Forum Thiago Serra, Ryan J. O'Neil
2020	J	`jnl`	Reformulating the disjunctive cut generating linear program. Ann. Oper. Res. Thiago Serra
2020	J	`jnl`	When Lift-and-Project Cuts Are Different. INFORMS J. Comput. Egon Balas, Thiago Serra
2019	J	`jnl`	Equivalent and Approximate Transformations of Deep Neural Networks. CoRR Abhinav Kumar, Thiago Serra, Srikumar Ramalingam
2019	B	`conf`	Last-Mile Scheduling Under Uncertainty. CPAIOR Thiago Serra, Arvind U. Raghunathan, David Bergman, John N. Hooker, Shingo Kobori
2019	J	`jnl`	Template-based Minor Embedding for Adiabatic Quantum Optimization. CoRR Thiago Serra, Teng Huang, Arvind U. Raghunathan, David Bergman
2018	A*	`conf`	Bounding and Counting Linear Regions of Deep Neural Networks. ICML Thiago Serra, Christian Tjandraatmadja, Srikumar Ramalingam
2018	J	`jnl`	Empirical Bounds on Linear Regions of Deep Rectifier Networks. CoRR Thiago Serra, Srikumar Ramalingam
2018	J	`jnl`	How Could Polyhedral Theory Harness Deep Learning? CoRR Thiago Serra, Christian Tjandraatmadja, Srikumar Ramalingam
2018	A*	`conf`	The Integrated Last-Mile Transportation Problem (ILMTP). ICAPS Arvind U. Raghunathan, David Bergman, John N. Hooker, Thiago Serra, Shingo Kobori
2018	J	`jnl`	When Lift-and-Project Cuts are Different. CoRR Egon Balas, Thiago Serra
2017	J	`jnl`	Bounding and Counting Linear Regions of Deep Neural Networks. CoRR Thiago Serra, Christian Tjandraatmadja, Srikumar Ramalingam
2012	A	`conf`	The Offshore Resources Scheduling Problem: Detailing a Constraint Programming Approach. CP Thiago Serra, Gilberto Nishioka, Fernando J. M. Marcellino