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Extracting Automata from Recurrent Neural Networks Using Queries and
  Counterexamples

Extracting Automata from Recurrent Neural Networks Using Queries and Counterexamples

27 November 2017
Gail Weiss
Yoav Goldberg
Eran Yahav
ArXivPDFHTML

Papers citing "Extracting Automata from Recurrent Neural Networks Using Queries and Counterexamples"

31 / 31 papers shown
Title
Training Neural Networks as Recognizers of Formal Languages
Training Neural Networks as Recognizers of Formal Languages
Alexandra Butoi
Ghazal Khalighinejad
Anej Svete
Josef Valvoda
Ryan Cotterell
Brian DuSell
NAI
44
2
0
11 Nov 2024
Analyzing constrained LLM through PDFA-learning
Analyzing constrained LLM through PDFA-learning
Matías Carrasco
Franz Mayr
S. Yovine
Johny Kidd
Martín Iturbide
Juan da Silva
Alejo Garat
31
0
0
12 Jun 2024
Automata Extraction from Transformers
Automata Extraction from Transformers
Yihao Zhang
Zeming Wei
Meng Sun
AI4CE
45
1
0
08 Jun 2024
State-Regularized Recurrent Neural Networks to Extract Automata and
  Explain Predictions
State-Regularized Recurrent Neural Networks to Extract Automata and Explain Predictions
Cheng Wang
Carolin (Haas) Lawrence
Mathias Niepert
21
3
0
10 Dec 2022
Verifying And Interpreting Neural Networks using Finite Automata
Verifying And Interpreting Neural Networks using Finite Automata
Marco Sälzer
Eric Alsmann
Florian Bruse
M. Lange
AAML
30
3
0
02 Nov 2022
When are Local Queries Useful for Robust Learning?
When are Local Queries Useful for Robust Learning?
Pascale Gourdeau
Varun Kanade
Marta Z. Kwiatkowska
J. Worrell
OOD
40
1
0
12 Oct 2022
Neurosymbolic Motion and Task Planning for Linear Temporal Logic Tasks
Neurosymbolic Motion and Task Planning for Linear Temporal Logic Tasks
Xiaowu Sun
Yasser Shoukry
50
11
0
11 Oct 2022
Analyzing Robustness of Angluin's L* Algorithm in Presence of Noise
Analyzing Robustness of Angluin's L* Algorithm in Presence of Noise
I. Khmelnitsky
S. Haddad
Lina Ye
Benoît Barbot
B. Bollig
M. Leucker
Daniel Neider
Rajarshi Roy
18
1
0
21 Sep 2022
SoK: Explainable Machine Learning for Computer Security Applications
SoK: Explainable Machine Learning for Computer Security Applications
A. Nadeem
D. Vos
Clinton Cao
Luca Pajola
Simon Dieck
Robert Baumgartner
S. Verwer
34
40
0
22 Aug 2022
Extracting Rules from Neural Networks with Partial Interpretations
Extracting Rules from Neural Networks with Partial Interpretations
Cosimo Persia
Ana Ozaki
16
2
0
01 Apr 2022
Extracting Finite Automata from RNNs Using State Merging
Extracting Finite Automata from RNNs Using State Merging
William Merrill
Nikolaos Tsilivis
22
14
0
28 Jan 2022
Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval
Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval
Uri Alon
Frank F. Xu
Junxian He
Sudipta Sengupta
Dan Roth
Graham Neubig
RALM
77
63
0
28 Jan 2022
Minimum Description Length Recurrent Neural Networks
Minimum Description Length Recurrent Neural Networks
Nur Lan
Michal Geyer
Emmanuel Chemla
Roni Katzir
24
13
0
31 Oct 2021
Thinking Like Transformers
Thinking Like Transformers
Gail Weiss
Yoav Goldberg
Eran Yahav
AI4CE
35
128
0
13 Jun 2021
A Passive Online Technique for Learning Hybrid Automata from
  Input/Output Traces
A Passive Online Technique for Learning Hybrid Automata from Input/Output Traces
Iman Saberi
Fathiyeh Faghih
Farzad Sobhi Bavil
17
11
0
18 Jan 2021
Uncertainty Estimation and Calibration with Finite-State Probabilistic
  RNNs
Uncertainty Estimation and Calibration with Finite-State Probabilistic RNNs
Cheng Wang
Carolin (Haas) Lawrence
Mathias Niepert
UQCV
29
10
0
24 Nov 2020
How LSTM Encodes Syntax: Exploring Context Vectors and Semi-Quantization
  on Natural Text
How LSTM Encodes Syntax: Exploring Context Vectors and Semi-Quantization on Natural Text
Chihiro Shibata
Kei Uchiumi
D. Mochihashi
22
7
0
01 Oct 2020
Distillation of Weighted Automata from Recurrent Neural Networks using a
  Spectral Approach
Distillation of Weighted Automata from Recurrent Neural Networks using a Spectral Approach
Rémi Eyraud
Stéphane Ayache
24
16
0
28 Sep 2020
Re-understanding Finite-State Representations of Recurrent Policy
  Networks
Re-understanding Finite-State Representations of Recurrent Policy Networks
Mohamad H. Danesh
Anurag Koul
Alan Fern
Saeed Khorram
31
21
0
06 Jun 2020
Learning Deterministic Weighted Automata with Queries and
  Counterexamples
Learning Deterministic Weighted Automata with Queries and Counterexamples
Gail Weiss
Yoav Goldberg
Eran Yahav
TPM
26
45
0
30 Oct 2019
Discovering the Compositional Structure of Vector Representations with
  Role Learning Networks
Discovering the Compositional Structure of Vector Representations with Role Learning Networks
Paul Soulos
R. Thomas McCoy
Tal Linzen
P. Smolensky
CoGe
29
43
0
21 Oct 2019
Learning Causal State Representations of Partially Observable
  Environments
Learning Causal State Representations of Partially Observable Environments
Amy Zhang
Zachary Chase Lipton
Luis Villaseñor-Pineda
Kamyar Azizzadenesheli
Anima Anandkumar
Laurent Itti
Joelle Pineau
Tommaso Furlanello
CML
45
49
0
25 Jun 2019
Weighted Automata Extraction from Recurrent Neural Networks via
  Regression on State Spaces
Weighted Automata Extraction from Recurrent Neural Networks via Regression on State Spaces
Takamasa Okudono
Masaki Waga
Taro Sekiyama
I. Hasuo
13
37
0
05 Apr 2019
RNNs Implicitly Implement Tensor Product Representations
RNNs Implicitly Implement Tensor Product Representations
R. Thomas McCoy
Tal Linzen
Ewan Dunbar
P. Smolensky
49
54
0
20 Dec 2018
Learning Finite State Representations of Recurrent Policy Networks
Learning Finite State Representations of Recurrent Policy Networks
Anurag Koul
S. Greydanus
Alan Fern
19
88
0
29 Nov 2018
Verification of Recurrent Neural Networks Through Rule Extraction
Verification of Recurrent Neural Networks Through Rule Extraction
Qinglong Wang
Kaixuan Zhang
Xue Liu
C. Lee Giles
AAML
28
18
0
14 Nov 2018
Counting in Language with RNNs
He Fun
Sergiy V. Bokhnyak
Francesco Saverio Zuppichini
20
0
0
29 Oct 2018
Evaluating Syntactic Properties of Seq2seq Output with a Broad Coverage
  HPSG: A Case Study on Machine Translation
Evaluating Syntactic Properties of Seq2seq Output with a Broad Coverage HPSG: A Case Study on Machine Translation
Johnny Tian-Zheng Wei
Khiem Pham
Brian Dillon
Brendan O'Connor
33
4
0
06 Sep 2018
Using Machine Learning Safely in Automotive Software: An Assessment and
  Adaption of Software Process Requirements in ISO 26262
Using Machine Learning Safely in Automotive Software: An Assessment and Adaption of Software Process Requirements in ISO 26262
Rick Salay
Krzysztof Czarnecki
25
69
0
05 Aug 2018
Connecting Weighted Automata and Recurrent Neural Networks through
  Spectral Learning
Connecting Weighted Automata and Recurrent Neural Networks through Spectral Learning
Guillaume Rabusseau
Tianyu Li
Doina Precup
34
41
0
04 Jul 2018
A Comparative Study of Rule Extraction for Recurrent Neural Networks
A Comparative Study of Rule Extraction for Recurrent Neural Networks
Qinglong Wang
Kaixuan Zhang
Alexander Ororbia
Masashi Sugiyama
Xue Liu
C. Lee Giles
21
11
0
16 Jan 2018
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