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ORCIDRodrigo de Salvo Braz
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2020 – today
- 2023
[i5]Zheqing Zhu, Rodrigo de Salvo Braz, Jalaj Bhandari, Daniel Jiang, Yi Wan, Yonathan Efroni, Liyuan Wang, Ruiyang Xu, Hongbo Guo, Alex Nikulkov, Dmytro Korenkevych, Ürün Dogan, Frank Cheng, Zheng Wu, Wanqiao Xu:
Pearl: A Production-ready Reinforcement Learning Agent. CoRR abs/2312.03814 (2023)
2010 – 2019
- 2017
- [c12]Rodrigo de Salvo Braz, Ciaran O'Reilly:
Exact Inference for Relational Graphical Models with Interpreted Functions: Lifted Probabilistic Inference Modulo Theories. UAI 2017 - [i4]Gabriel Azevedo Ferreira, Quentin Bertrand, Charles Maussion, Rodrigo de Salvo Braz:
Anytime Exact Belief Propagation. CoRR abs/1707.08704 (2017) - [i3]Rodrigo de Salvo Braz, Ciaran O'Reilly:
Exact Inference for Relational Graphical Models with Interpreted Functions: Lifted Probabilistic Inference Modulo Theories. CoRR abs/1709.01122 (2017) - 2016
- [c11]Rodrigo de Salvo Braz, Ciaran O'Reilly, Vibhav Gogate
, Rina Dechter:
Probabilistic Inference Modulo Theories. IJCAI 2016: 3591-3599 - [i2]Rodrigo de Salvo Braz, Ciaran O'Reilly, Vibhav Gogate, Rina Dechter:
Probabilistic Inference Modulo Theories. CoRR abs/1605.08367 (2016) - 2012
- [c10]Hung Hai Bui, Tuyen N. Huynh, Rodrigo de Salvo Braz:
Exact Lifted Inference with Distinct Soft Evidence on Every Object. AAAI 2012: 1875-1881 - [c9]Rodrigo de Salvo Braz, Shahin Saadati, Hung Bui, Ciaran O'Reilly:
Lifted Arbitrary Constraint Solving for Lifted Probabilistic Inference. StarAI@UAI 2012 - [c8]Richard G. Freedman, Rodrigo de Salvo Braz, Hung Bui, Sriraam Natarajan:
Initial Empirical Evaluation of Anytime Lifted Belief Propagation. StarAI@UAI 2012 - [i1]Nimar S. Arora, Rodrigo de Salvo Braz, Erik B. Sudderth, Stuart Russell:
Gibbs Sampling in Open-Universe Stochastic Languages. CoRR abs/1203.3464 (2012) - 2011
- [c7]Jaesik Choi, Rodrigo de Salvo Braz, Hung Hai Bui:
Efficient Methods for Lifted Inference with Aggregate Factors. AAAI 2011: 1030-1036 - 2010
- [c6]Nimar S. Arora, Rodrigo de Salvo Braz, Erik B. Sudderth, Stuart Russell:
Gibbs Sampling in Open-Universe Stochastic Languages. UAI 2010: 30-39
2000 – 2009
- 2008
- [p1]Rodrigo de Salvo Braz, Eyal Amir, Dan Roth:
A Survey of First-Order Probabilistic Models. Innovations in Bayesian Networks 2008: 289-317 - 2007
- [b1]Rodrigo de Salvo Braz:
Lifted First-Order Probabilistic Inference. University of Illinois Urbana-Champaign, USA, 2007 - 2006
- [c5]Rodrigo de Salvo Braz, Eyal Amir, Dan Roth:
MPE and Partial Inversion in Lifted Probabilistic Variable Elimination. AAAI 2006: 1123-1130 - 2005
- [c4]Rodrigo de Salvo Braz, Roxana Girju, Vasin Punyakanok, Dan Roth, Mark Sammons:
An Inference Model for Semantic Entailment in Natural Language. AAAI 2005: 1043-1049 - [c3]Rodrigo de Salvo Braz, Eyal Amir, Dan Roth:
Lifted First-Order Probabilistic Inference. IJCAI 2005: 1319-1325 - [c2]Rodrigo de Salvo Braz, Roxana Girju, Vasin Punyakanok, Dan Roth, Mark Sammons:
An Inference Model for Semantic Entailment in Natural Language. IJCAI 2005: 1678-1679 - [c1]Rodrigo de Salvo Braz, Roxana Girju, Vasin Punyakanok, Dan Roth, Mark Sammons:
An Inference Model for Semantic Entailment in Natural Language. MLCW 2005: 261-286 - 2002
- [j1]Daniel Oblinger, Mark D. Reid, Mark Brodie, Rodrigo de Salvo Braz:
Cross training and its application to skill mining. IBM Syst. J. 41(3): 449-460 (2002)
Coauthor Index
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