Ph.D. Thesis
Lifted First-Order
Probabilistic Inference. (improved (pdf), deposited (pdf), bibtex)
Ph.D. Thesis.
University of Illinois at Urbana-Champaign, 2007.
Related to FOPI.
Book Chapters
A Survey of First-Order
Probabilistic Models. (pdf,
bibtex)
D.E. Holmes and L.C. Jain (Eds.)
Innovations in Bayesian Networks, Studies in Computational Intelligence vol.
156, 2008.
with Eyal Amir and Dan Roth.
Related to FOPI.
Lifted First-Order Probabilistic
Inference. (pdf, bibtex)
In L. Getoor and B. Taskar, (Eds.)
Introduction to Statistical Relational Learning. 2007.
with Eyal Amir and Dan Roth.
Related to FOPI.
An Inference Model for Semantic
Entailment in Natural Language. (pdf,
bibtex)
Lecture Notes in Computer Science vol. 3944, 2006.
Machine Learning Challenges, Evaluating Predictive Uncertainty, Visual Object
Classification and Recognizing Textual Entailment, First PASCAL Machine
Learning Challenges Workshop, Revised Selected Papers.
with Roxana Girju, Vasin Punyakanok, Dan Roth and Mark
Sammons.
Related to Kindle.
Conference papers
Exact lifted inference with distinct soft
evidence on every object. (pdf,
slides, bibtex)
AAAI-12: Twenty-Sixtth Conference on Artificial Intelligence.
Hung Bui, Tuyen N. Huynh, Rodrigo de Salvo Braz.
Related to FOPI.
Efficient Methods for Lifted
Inference with Aggregate Factors. (pdf,
bibtex)
AAAI-11: Twenty-Fifth Conference on Artificial Intelligence.
Jaesik Choi, Rodrigo de Salvo Braz and Hung Bui.
Related to FOPI.
Gibbs Sampling in Open-Universe
Stochastic Languages. (pdf,
bibtex, ppt)
UAI-10: Uncertainty in Artificial Intelligence.
Nimar S. Arora, Rodrigo de Salvo Braz, Erik B. Sudderth, and
Stuart Russell.
Related to BLOG.
MPE and Partial Inversion in Lifted
Probabilistic Variable Elimination. (ps,
pdf, bibtex)
AAAI-06: Twenty-First Conference on Artificial Intelligence.
with Eyal Amir, Dan Roth.
Related to FOPI.
Lifted First-Order Probabilistic
Inference. (ps, pdf,
bibtex)
IJCAI-05: Nineteenth International Joint Conference on Artificial Intelligence.
with Eyal Amir and Dan Roth.
Related to FOPI.
An Inference Model for Semantic
Entailment in Natural Language. (ps,
pdf, bibtex)
AAAI-05: Twentieth Conference on Artificial Intelligence.
with Roxana Girju, Vasin Punyakanok, Dan Roth, Mark
Sammons.
Related to Kindle.
Workshops
Lifted Arbitrary Constraint Solving
for Lifted Probabilistic Inference. (pdf,
bibtex)
2nd Statistical Relational AI (StaRAI-12) workshop at UAI'12
with Shahin Saadati, Hung Bui and Ciaran O’Reilly.
Related to FOPI.
Anytime Lifted Inference.
(pdf,
bibtex)
Oral Presentation
Statistical Relational Learning 2009
with Sriraam Natarajan, Hung Bui, Jude Shavlik and Stuart Russell.
Related to FOPI.
Dynamic BLOG. (ppt)
Poster presentation
Probabilistic Programming Languages Workshop
in NIPS 2008: 22nd Annual Conference on Neural Information
Processing Systems
with Nimar Arora, Erik Sudderth and Stuart Russell.
Related to DBLOG.
MPE and Partial Inversion in Lifted
Probabilistic Variable Elimination. (pdf,
bibtex)
Statistical Relational Learning Workshop
in ICML 2006: 23rd International Conference on Machine Learning.
with Eyal Amir and Dan Roth.
Related to FOPI.
Knowledge Representation for
Semantic Entailment and Question-Answering. (pdf,
bibtex)
Knowledge and Reasoning for Question Answering Workshop
in IJCAI-05: Nineteenth International Joint Conference on Artificial
Intelligence.
with Roxana Girju, Vasin Punyakanok, Dan Roth, Mark
Sammons.
Related to Kindle.
Feature Extraction with Functional Subsumption
in Description Logics. (ppt)
with Dan Roth.
Feature Extraction Workshop
in NIPS 2003: 17th Annual Conference on Neural Information
Processing Systems.
Reading comprehension programs
in a statistical-language-processing class. (ps, bibtex)
with Eugene Charniak, Yasemin Altun, Benjamin Garrett, Margaret Kosmala, Tomer
Moscovich, Lixin Pang, Changhee Pyo, Ye Sun, Wei Wy, Zhongfa Yang, Shawn
Zeller, and Lisa Zorn.
Reading Comprehension Tests as Evaluation for Computer-Based
Language Understanding Systems Workshop in ANLP-NAACL 2000.
Miscellaneous
An Inference Model for Semantic
Entailment and Question-Answering. (pdf)
Poster presentation at IJCAI 2005.
with Roxana Girju, Vasin Punyakanok, Dan Roth, Mark
Sammons.
Related to Kindle.
Functional Subsumption in Feature
Description Logic. (ps, bibtex)
Rodrigo de Salvo Braz and Dan Roth.
Technical Report UIUCDCS-R-2004-2423 (Engr. No
UILU-ENG-2004-1724), UIUC Computer Science Department, April 2004.
Cross training and its application to skill mining.
(pdf, bibtex)
IBM Systems Journal 41(3): 449-460 (2002).
Daniel Oblinger, Mark Reid, Mark Brodie, Rodrigo de Salvo Braz.
Integrating multiple domains and learning phases
in a connectionist model.
Poster at Second Annual Graduate Conference of the Northeastern Cognitive
Science Society (NECCS), April 1999.
Master Thesis
High level problems in neural
networks. (doc (Portuguese), bibtex)
Master Thesis.
Universidade de São Paulo, 1998.