research
∙
08/05/2023
dPASP: A Comprehensive Differentiable Probabilistic Answer Set Programming Environment For Neurosymbolic Learning and Reasoning
We present dPASP, a novel declarative probabilistic logic programming fr...
share
research
∙
06/25/2023
A Multilingual Translator to SQL with Database Schema Pruning to Improve Self-Attention
Long sequences of text are challenging in the context of transformers, d...
research
∙
02/27/2023
Markov Conditions and Factorization in Logical Credal Networks
We examine the recently proposed language of Logical Credal Networks, in...
research
∙
01/18/2023
Augmenting a Physics-Informed Neural Network for the 2D Burgers Equation by Addition of Solution Data Points
We implement a Physics-Informed Neural Network (PINN) for solving the tw...
research
∙
02/08/2022
Integrating question answering and text-to-SQL in Portuguese
Deep learning transformers have drastically improved systems that automa...
research
∙
10/19/2021
DEEPAGÉ: Answering Questions in Portuguese about the Brazilian Environment
The challenge of climate change and biome conservation is one of the mos...
research
∙
10/07/2021
mRAT-SQL+GAP:A Portuguese Text-to-SQL Transformer
The translation of natural language questions to SQL queries has attract...
research
∙
03/05/2020
An Empirical Accuracy Law for Sequential Machine Translation: the Case of Google Translate
We have established, through empirical testing, a law that relates the n...
research
∙
10/22/2018
A Fully Attention-Based Information Retriever
Recurrent neural networks are now the state-of-the-art in natural langua...
research
∙
06/20/2018
Interpreting Embedding Models of Knowledge Bases: A Pedagogical Approach
Knowledge bases are employed in a variety of applications from natural l...
research
∙
01/31/2017
On the Semantics and Complexity of Probabilistic Logic Programs
We examine the meaning and the complexity of probabilistic logic program...
research
∙
12/04/2016
The Complexity of Bayesian Networks Specified by Propositional and Relational Languages
We examine the complexity of inference in Bayesian networks specified by...
research
∙
09/12/2016
First-Order Bayesian Network Specifications Capture the Complexity Class PP
The point of this note is to prove that a language is in the complexity ...
research
∙
02/13/2013
Quasi-Bayesian Strategies for Efficient Plan Generation: Application to the Planning to Observe Problem
Quasi-Bayesian theory uses convex sets of probability distributions and ...
research
∙
02/06/2013
Robustness Analysis of Bayesian Networks with Local Convex Sets of Distributions
Robust Bayesian inference is the calculation of posterior probability bo...
research
∙
01/30/2013
Irrelevance and Independence Relations in Quasi-Bayesian Networks
This paper analyzes irrelevance and independence relations in graphical ...
research
∙
01/16/2013
Separation Properties of Sets of Probability Measures
This paper analyzes independence concepts for sets of probability measur...
research
∙
12/12/2012
Inference with Seperately Specified Sets of Probabilities in Credal Networks
We present new algorithms for inference in credal networks --- directed ...
research
∙
10/19/2012
Inference in Polytrees with Sets of Probabilities
Inferences in directed acyclic graphs associated with probability sets a...
research
∙
07/11/2012
Propositional and Relational Bayesian Networks Associated with Imprecise and Qualitative Probabilistic Assesments
This paper investigates a representation language with flexibility inspi...
research
∙
07/04/2012
Belief Updating and Learning in Semi-Qualitative Probabilistic Networks
This paper explores semi-qualitative probabilistic networks (SQPNs) that...
research
∙
05/09/2012