Publications

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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

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

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.