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Structured Learning Modulo Theories
v1v2 (latest)

Structured Learning Modulo Theories

7 May 2014
Stefano Teso
Roberto Sebastiani
Andrea Passerini
ArXiv (abs)PDFHTML

Papers citing "Structured Learning Modulo Theories"

6 / 6 papers shown
Title
Learning MAX-SAT from Contextual Examples for Combinatorial Optimisation
Learning MAX-SAT from Contextual Examples for Combinatorial Optimisation
Mohit Kumar
Samuel Kolb
Stefano Teso
Luc de Raedt
NAI
36
14
0
08 Feb 2022
SaDe: Learning Models that Provably Satisfy Domain Constraints
SaDe: Learning Models that Provably Satisfy Domain Constraints
Kshitij Goyal
Sebastijan Dumancic
Hendrik Blockeel
ALM
76
5
0
01 Dec 2021
Neuro-Symbolic Constraint Programming for Structured Prediction
Neuro-Symbolic Constraint Programming for Structured Prediction
Paolo Dragone
Stefano Teso
Andrea Passerini
76
18
0
31 Mar 2021
Automating Personnel Rostering by Learning Constraints Using Tensors
Automating Personnel Rostering by Learning Constraints Using Tensors
Mohit Kumar
Stefano Teso
Luc de Raedt
44
11
0
29 May 2018
Approximate Probabilistic Inference via Word-Level Counting
Approximate Probabilistic Inference via Word-Level Counting
Supratik Chakraborty
Kuldeep S. Meel
Rakesh Mistry
Moshe Y. Vardi
TPM
78
59
0
24 Nov 2015
Learning Modulo Theories for preference elicitation in hybrid domains
Learning Modulo Theories for preference elicitation in hybrid domains
Paolo Campigotto
R. Battiti
Andrea Passerini
15
6
0
18 Aug 2015
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