![](https://dblp.uni-trier.de/img/logo.ua.320x120.png)
![](https://dblp.uni-trier.de/img/dropdown.dark.16x16.png)
![](https://dblp.uni-trier.de/img/peace.dark.16x16.png)
Остановите войну!
for scientists:
![search dblp search dblp](https://dblp.uni-trier.de/img/search.dark.16x16.png)
![search dblp](https://dblp.uni-trier.de/img/search.dark.16x16.png)
default search action
Thiago Serra
Person information
Refine list
![note](https://dblp.uni-trier.de/img/note-mark.dark.12x12.png)
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
Journal Articles
- 2024
- [j6]Arvind U. Raghunathan, David Bergman
, John N. Hooker
, Thiago Serra, Shingo Kobori:
Seamless Multimodal Transportation Scheduling. INFORMS J. Comput. 36(2): 336-358 (2024) - 2022
- [j5]Thiago Serra
, Teng Huang
, Arvind U. Raghunathan
, David Bergman
:
Template-Based Minor Embedding for Adiabatic Quantum Optimization. INFORMS J. Comput. 34(1): 427-439 (2022) - 2020
- [j4]Thiago Serra
:
Reformulating the disjunctive cut generating linear program. Ann. Oper. Res. 295(1): 363-384 (2020) - [j3]Egon Balas, Thiago Serra
:
When Lift-and-Project Cuts Are Different. INFORMS J. Comput. 32(3): 822-834 (2020) - [j2]Thiago Serra
, John N. Hooker:
Compact representation of near-optimal integer programming solutions. Math. Program. 182(1): 199-232 (2020) - [j1]Thiago Serra
, Ryan J. O'Neil:
MIPLIBing: Seamless Benchmarking of Mathematical Optimization Problems and Metadata Extensions. Oper. Res. Forum 1(3) (2020)
Conference and Workshop Papers
- 2024
- [c15]Jiatai Tong, Junyang Cai, Thiago Serra:
Optimization over Trained Neural Networks: Taking a Relaxing Walk. CPAIOR (2) 2024: 221-233 - 2023
- [c14]Alexandre M. Florio, Pedro Martins, Maximilian Schiffer, Thiago Serra, Thibaut Vidal:
Optimal Decision Diagrams for Classification. AAAI 2023: 7577-7585 - [c13]Junyang Cai, Khai-Nguyen Nguyen, Nishant Shrestha, Aidan Good, Ruisen Tu, Xin Yu, Shandian Zhe, Thiago Serra:
Getting Away with More Network Pruning: From Sparsity to Geometry and Linear Regions. CPAIOR 2023: 200-218 - 2022
- [c12]Carles Roger Riera Molina, Camilo Rey, Thiago Serra, Eloi Puertas
, Oriol Pujol:
Training Thinner and Deeper Neural Networks: Jumpstart Regularization. CPAIOR 2022: 345-357 - [c11]Xin Yu, Thiago Serra, Srikumar Ramalingam, Shandian Zhe:
The Combinatorial Brain Surgeon: Pruning Weights That Cancel One Another in Neural Networks. ICML 2022: 25668-25683 - [c10]Aidan Good, Jiaqi Lin, Xin Yu, Hannah Sieg, Mikey Ferguson, Shandian Zhe, Jerzy Wieczorek, Thiago Serra:
Recall Distortion in Neural Network Pruning and the Undecayed Pruning Algorithm. NeurIPS 2022 - 2021
- [c9]Thiago Serra, Xin Yu, Abhinav Kumar, Srikumar Ramalingam:
Scaling Up Exact Neural Network Compression by ReLU Stability. NeurIPS 2021: 27081-27093 - 2020
- [c8]Thiago Serra, Srikumar Ramalingam:
Empirical Bounds on Linear Regions of Deep Rectifier Networks. AAAI 2020: 5628-5635 - [c7]Thiago Serra:
Enumerative Branching with Less Repetition. CPAIOR 2020: 399-416 - [c6]Thiago Serra, Abhinav Kumar, Srikumar Ramalingam:
Lossless Compression of Deep Neural Networks. CPAIOR 2020: 417-430 - [c5]Thiago Serra, Srikumar Ramalingam:
Empirical Bounds on Linear Regions of Deep Rectifier Networks. ISAIM 2020 - 2019
- [c4]Thiago Serra, Arvind U. Raghunathan, David Bergman, John N. Hooker, Shingo Kobori:
Last-Mile Scheduling Under Uncertainty. CPAIOR 2019: 519-528 - 2018
- [c3]Arvind U. Raghunathan, David Bergman, John N. Hooker, Thiago Serra, Shingo Kobori:
The Integrated Last-Mile Transportation Problem (ILMTP). ICAPS 2018: 388-398 - [c2]Thiago Serra, Christian Tjandraatmadja, Srikumar Ramalingam:
Bounding and Counting Linear Regions of Deep Neural Networks. ICML 2018: 4565-4573 - 2012
- [c1]Thiago Serra, Gilberto Nishioka, Fernando J. M. Marcellino:
The Offshore Resources Scheduling Problem: Detailing a Constraint Programming Approach. CP 2012: 823-839
Informal and Other Publications
- 2024
- [i16]Jiatai Tong, Junyang Cai, Thiago Serra:
Optimization Over Trained Neural Networks: Taking a Relaxing Walk. CoRR abs/2401.03451 (2024) - 2023
- [i15]Junyang Cai, Khai-Nguyen Nguyen, Nishant Shrestha, Aidan Good, Ruisen Tu, Xin Yu, Shandian Zhe, Thiago Serra:
Getting Away with More Network Pruning: From Sparsity to Geometry and Linear Regions. CoRR abs/2301.07966 (2023) - [i14]Joey Huchette, Gonzalo Muñoz, Thiago Serra, Calvin Tsay:
When Deep Learning Meets Polyhedral Theory: A Survey. CoRR abs/2305.00241 (2023) - [i13]Fabian Badilla, Marcos Goycoolea, Gonzalo Muñoz, Thiago Serra:
Computational Tradeoffs of Optimization-Based Bound Tightening in ReLU Networks. CoRR abs/2312.16699 (2023) - 2022
- [i12]Carles Roger Riera Molina, Camilo Rey, Thiago Serra, Eloi Puertas, Oriol Pujol:
Training Thinner and Deeper Neural Networks: Jumpstart Regularization. CoRR abs/2201.12795 (2022) - [i11]Xin Yu, Thiago Serra, Srikumar Ramalingam, Shandian Zhe:
The Combinatorial Brain Surgeon: Pruning Weights That Cancel One Another in Neural Networks. CoRR abs/2203.04466 (2022) - [i10]Alexandre M. Florio, Pedro Martins, Maximilian Schiffer, Thiago Serra, Thibaut Vidal:
Optimal Decision Diagrams for Classification. CoRR abs/2205.14500 (2022) - [i9]Aidan Good, Jiaqi Lin
, Hannah Sieg, Mikey Ferguson, Xin Yu, Shandian Zhe, Jerzy Wieczorek, Thiago Serra:
Recall Distortion in Neural Network Pruning and the Undecayed Pruning Algorithm. CoRR abs/2206.02976 (2022) - 2021
- [i8]Thiago Serra, Xin Yu, Abhinav Kumar, Srikumar Ramalingam:
Scaling Up Exact Neural Network Compression by ReLU Stability. CoRR abs/2102.07804 (2021) - 2020
- [i7]Thiago Serra, Abhinav Kumar, Srikumar Ramalingam:
Lossless Compression of Deep Neural Networks. CoRR abs/2001.00218 (2020) - 2019
- [i6]Abhinav Kumar, Thiago Serra, Srikumar Ramalingam:
Equivalent and Approximate Transformations of Deep Neural Networks. CoRR abs/1905.11428 (2019) - [i5]Thiago Serra, Teng Huang, Arvind U. Raghunathan, David Bergman:
Template-based Minor Embedding for Adiabatic Quantum Optimization. CoRR abs/1910.02179 (2019) - 2018
- [i4]Thiago Serra, Christian Tjandraatmadja, Srikumar Ramalingam:
How Could Polyhedral Theory Harness Deep Learning? CoRR abs/1806.06365 (2018) - [i3]Egon Balas, Thiago Serra:
When Lift-and-Project Cuts are Different. CoRR abs/1809.05794 (2018) - [i2]Thiago Serra, Srikumar Ramalingam:
Empirical Bounds on Linear Regions of Deep Rectifier Networks. CoRR abs/1810.03370 (2018) - 2017
- [i1]Thiago Serra, Christian Tjandraatmadja, Srikumar Ramalingam:
Bounding and Counting Linear Regions of Deep Neural Networks. CoRR abs/1711.02114 (2017)
Coauthor Index
![](https://dblp.uni-trier.de/img/cog.dark.24x24.png)
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-07-15 01:01 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint