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Learning Linear Temporal Properties
v1v2v3 (latest)

Learning Linear Temporal Properties

11 June 2018
Daniel Neider
I. Gavran
ArXiv (abs)PDFHTML

Papers citing "Learning Linear Temporal Properties"

23 / 23 papers shown
Title
SAT-Based Bounded Fitting for the Description Logic ALC
SAT-Based Bounded Fitting for the Description Logic ALC
Maurice Funk
J. C. Jung
Tom Voellmer
4
1
0
29 Jul 2025
Learning Tree Pattern Transformations
Learning Tree Pattern Transformations
Daniel Neider
Leif Sabellek
Johannes Schmidt
Fabian Vehlken
Thomas Zeume
PINN
106
1
0
10 Oct 2024
Pointwise-in-Time Explanation for Linear Temporal Logic Rules
Pointwise-in-Time Explanation for Linear Temporal Logic Rules
Noel Brindise
Cédric Langbort
80
2
0
24 Jun 2023
Data-Driven Model Discrimination of Switched Nonlinear Systems with
  Temporal Logic Inference
Data-Driven Model Discrimination of Switched Nonlinear Systems with Temporal Logic Inference
Zeyuan Jin
Nasim Baharisangari
Zhe Xu
Sze Zheng Yong
33
0
0
16 Jun 2023
Unique Characterisability and Learnability of Temporal Queries Mediated
  by an Ontology
Unique Characterisability and Learnability of Temporal Queries Mediated by an Ontology
J. C. Jung
Vladislav Ryzhikov
Franz-Erich Wolter
Michael Zakharyaschev
83
0
0
13 Jun 2023
Reverse Engineering of Temporal Queries Mediated by LTL Ontologies
Reverse Engineering of Temporal Queries Mediated by LTL Ontologies
Marie Fortin
B. Konev
Vladislav Ryzhikov
Yury Savateev
F. Wolter
Michael Zakharyaschev
64
4
0
02 May 2023
Learning Probabilistic Temporal Safety Properties from Examples in
  Relational Domains
Learning Probabilistic Temporal Safety Properties from Examples in Relational Domains
Gavin Rens
Wen-Chi Yang
Jean-François Raskin
Luc de Raedt
38
0
0
07 Nov 2022
Prophecy Variables for Hyperproperty Verification
Prophecy Variables for Hyperproperty Verification
Raven Beutner
Bernd Finkbeiner
15
19
0
03 Jun 2022
Time-Incremental Learning from Data Using Temporal Logics
Time-Incremental Learning from Data Using Temporal Logics
Erfan Aasi
Mingyu Cai
C. Vasile
C. Belta
50
1
0
28 Dec 2021
Learning Finite Linear Temporal Logic Specifications with a Specialized
  Neural Operator
Learning Finite Linear Temporal Logic Specifications with a Specialized Neural Operator
Homer Walke
Daniel Ritter
Carl Trimbach
Michael Littman
NAIAI4CE
79
7
0
07 Nov 2021
Classification of Time-Series Data Using Boosted Decision Trees
Classification of Time-Series Data Using Boosted Decision Trees
Erfan Aasi
C. Vasile
Mahroo Bahreinian
C. Belta
98
16
0
01 Oct 2021
Process discovery on deviant traces and other stranger things
Process discovery on deviant traces and other stranger things
F. Chesani
Chiara Di Francescomarino
Chiara Ghidini
Daniela Loreti
F. Maggi
P. Mello
Marco Montali
Sergio Tessaris
AI4TS
57
3
0
30 Sep 2021
Temporal and Object Quantification Networks
Temporal and Object Quantification Networks
Jiayuan Mao
Zhezheng Luo
Chuang Gan
J. Tenenbaum
Jiajun Wu
L. Kaelbling
T. Ullman
NAI
67
3
0
10 Jun 2021
Uncertainty-Aware Signal Temporal Logic Inference
Uncertainty-Aware Signal Temporal Logic Inference
Nasim Baharisangari
Jean-Raphael Gaglione
Daniel Neider
Ufuk Topcu
Zhe Xu
54
5
0
24 May 2021
Inferring Temporal Logic Properties from Data using Boosted Decision
  Trees
Inferring Temporal Logic Properties from Data using Boosted Decision Trees
Erfan Aasi
C. Vasile
Mahroo Bahreinian
C. Belta
AI4CE
39
5
0
24 May 2021
Learning Linear Temporal Properties from Noisy Data: A MaxSAT Approach
Learning Linear Temporal Properties from Noisy Data: A MaxSAT Approach
Jean-Raphael Gaglione
Daniel Neider
Rajarshi Roy
Ufuk Topcu
Zhe Xu
56
27
0
30 Apr 2021
PHOENIX: Device-Centric Cellular Network Protocol Monitoring using
  Runtime Verification
PHOENIX: Device-Centric Cellular Network Protocol Monitoring using Runtime Verification
Mitziu Echeverria
Zeeshan Ahmed
Bincheng Wang
M. F. Arif
Syed Rafiul Hussain
Omar Chowdhury
66
25
0
01 Jan 2021
Active Finite Reward Automaton Inference and Reinforcement Learning
  Using Queries and Counterexamples
Active Finite Reward Automaton Inference and Reinforcement Learning Using Queries and Counterexamples
Zhe Xu
Bo Wu
Aditya Ojha
Daniel Neider
Ufuk Topcu
OffRL
160
34
0
28 Jun 2020
A Formal Language Approach to Explaining RNNs
A Formal Language Approach to Explaining RNNs
Bishwamittra Ghosh
Daniel Neider
80
1
0
12 Jun 2020
Explaining Multi-stage Tasks by Learning Temporal Logic Formulas from
  Suboptimal Demonstrations
Explaining Multi-stage Tasks by Learning Temporal Logic Formulas from Suboptimal Demonstrations
Glen Chou
N. Ozay
Dmitry Berenson
76
26
0
03 Jun 2020
Learning Interpretable Models in the Property Specification Language
Learning Interpretable Models in the Property Specification Language
Rajarshi Roy
D. Fisman
Daniel Neider
41
32
0
10 Feb 2020
Adaptive Teaching of Temporal Logic Formulas to Learners with
  Preferences
Adaptive Teaching of Temporal Logic Formulas to Learners with Preferences
Zhe Xu
Yuxin Chen
Ufuk Topcu
136
1
0
27 Jan 2020
Transfer of Temporal Logic Formulas in Reinforcement Learning
Transfer of Temporal Logic Formulas in Reinforcement Learning
Zhe Xu
Ufuk Topcu
111
55
0
10 Sep 2019
1