 | 2012 |
| 10 |  | 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 |
| 9 |  | Jaesik Choi,
Rodrigo de Salvo Braz,
Hung H. Bui:
Efficient Methods for Lifted Inference with Aggregate Factors.
AAAI 2011 |
| 2010 |
| 8 |  | Nimar S. Arora,
Rodrigo de Salvo Braz,
Erik B. Sudderth,
Stuart Russell:
Gibbs Sampling in Open-Universe Stochastic Languages.
UAI 2010: 30-39 |
| 2008 |
| 7 |  | Rodrigo de Salvo Braz,
Eyal Amir,
Dan Roth:
A Survey of First-Order Probabilistic Models.
Innovations in Bayesian Networks 2008: 289-317 |
| 2006 |
| 6 |  | Rodrigo de Salvo Braz,
Eyal Amir,
Dan Roth:
MPE and Partial Inversion in Lifted Probabilistic Variable Elimination.
AAAI 2006: 1123-1130 |
| 2005 |
| 5 |  | 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 |
| 4 |  | Rodrigo de Salvo Braz,
Eyal Amir,
Dan Roth:
Lifted First-Order Probabilistic Inference.
IJCAI 2005: 1319-1325 |
| 3 |  | 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 |
| 2 |  | 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 |
| 1 |  | Daniel Oblinger,
Mark D. Reid,
Mark Brodie,
Rodrigo de Salvo Braz:
Cross training and its application to skill mining.
IBM Systems Journal 41(3): 449-460 (2002) |