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Teaching Temporal Logics to Neural Networks

Teaching Temporal Logics to Neural Networks

6 March 2020
Christopher Hahn
Frederik Schmitt
Jens U. Kreber
M. Rabe
Bernd Finkbeiner
    NAI
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Papers citing "Teaching Temporal Logics to Neural Networks"

22 / 22 papers shown
Title
Logical forms complement probability in understanding language model (and human) performance
Logical forms complement probability in understanding language model (and human) performance
Yixuan Wang
Freda Shi
ReLM
LRM
81
2
0
13 Feb 2025
Interchangeable Token Embeddings for Extendable Vocabulary and Alpha-Equivalence
Interchangeable Token Embeddings for Extendable Vocabulary and Alpha-Equivalence
İlker Işık
R. G. Cinbis
Ebru Aydin Gol
36
0
0
22 Oct 2024
LogicBench: Towards Systematic Evaluation of Logical Reasoning Ability
  of Large Language Models
LogicBench: Towards Systematic Evaluation of Logical Reasoning Ability of Large Language Models
Mihir Parmar
Nisarg Patel
Neeraj Varshney
Mutsumi Nakamura
Man Luo
Santosh Mashetty
Arindam Mitra
Chitta Baral
LRM
ReLM
ELM
38
25
0
23 Apr 2024
OLViT: Multi-Modal State Tracking via Attention-Based Embeddings for
  Video-Grounded Dialog
OLViT: Multi-Modal State Tracking via Attention-Based Embeddings for Video-Grounded Dialog
Adnen Abdessaied
Manuel von Hochmeister
Andreas Bulling
40
2
0
20 Feb 2024
ODEFormer: Symbolic Regression of Dynamical Systems with Transformers
ODEFormer: Symbolic Regression of Dynamical Systems with Transformers
Stéphane d’Ascoli
Soren Becker
Alexander Mathis
Philippe Schwaller
Niki Kilbertus
29
22
0
09 Oct 2023
DecoderLens: Layerwise Interpretation of Encoder-Decoder Transformers
DecoderLens: Layerwise Interpretation of Encoder-Decoder Transformers
Anna Langedijk
Hosein Mohebbi
Gabriele Sarti
Willem H. Zuidema
Jaap Jumelet
32
10
0
05 Oct 2023
Lightweight Online Learning for Sets of Related Problems in Automated
  Reasoning
Lightweight Online Learning for Sets of Related Problems in Automated Reasoning
Haoze Wu
Christopher Hahn
Florian Lonsing
Makai Mann
R. Ramanujan
Clark W. Barrett
OffRL
LRM
34
1
0
18 May 2023
Using Language Models For Knowledge Acquisition in Natural Language
  Reasoning Problems
Using Language Models For Knowledge Acquisition in Natural Language Reasoning Problems
Fangzhen Lin
Ziyi Shou
Chengcai Chen
LRM
ReLM
14
3
0
04 Apr 2023
Iterative Circuit Repair Against Formal Specifications
Iterative Circuit Repair Against Formal Specifications
Matthias Cosler
Frederik Schmitt
Christopher Hahn
Bernd Finkbeiner
23
10
0
02 Mar 2023
Towards Unsupervised Visual Reasoning: Do Off-The-Shelf Features Know
  How to Reason?
Towards Unsupervised Visual Reasoning: Do Off-The-Shelf Features Know How to Reason?
Monika Wysoczañska
Tom Monnier
Tomasz Trzciñski
David Picard
ReLM
OCL
40
1
0
20 Dec 2022
OCTAL: Graph Representation Learning for LTL Model Checking
OCTAL: Graph Representation Learning for LTL Model Checking
Prasita Mukherjee
Haoteng Yin
Susheel Suresh
Tiark Rompf
27
4
0
24 Jul 2022
Attention Flows for General Transformers
Attention Flows for General Transformers
Niklas Metzger
Christopher Hahn
Julian Siber
Frederik Schmitt
Bernd Finkbeiner
42
0
0
30 May 2022
On the Paradox of Learning to Reason from Data
On the Paradox of Learning to Reason from Data
Honghua Zhang
Liunian Harold Li
Tao Meng
Kai-Wei Chang
Mathias Niepert
NAI
ReLM
OOD
LRM
140
104
0
23 May 2022
End-to-end symbolic regression with transformers
End-to-end symbolic regression with transformers
Pierre-Alexandre Kamienny
Stéphane dÁscoli
Guillaume Lample
Franccois Charton
33
166
0
22 Apr 2022
Memorizing Transformers
Memorizing Transformers
Yuhuai Wu
M. Rabe
DeLesley S. Hutchins
Christian Szegedy
RALM
30
173
0
16 Mar 2022
Linear algebra with transformers
Linear algebra with transformers
Franccois Charton
AIMat
29
56
0
03 Dec 2021
Generating Symbolic Reasoning Problems with Transformer GANs
Generating Symbolic Reasoning Problems with Transformer GANs
Jens U. Kreber
Christopher Hahn
AI4CE
30
6
0
19 Oct 2021
Teaching Autoregressive Language Models Complex Tasks By Demonstration
Teaching Autoregressive Language Models Complex Tasks By Demonstration
Gabriel Recchia
26
22
0
05 Sep 2021
Proof Artifact Co-training for Theorem Proving with Language Models
Proof Artifact Co-training for Theorem Proving with Language Models
Jesse Michael Han
Jason M. Rute
Yuhuai Wu
Edward W. Ayers
Stanislas Polu
AIMat
25
120
0
11 Feb 2021
Conversational Neuro-Symbolic Commonsense Reasoning
Conversational Neuro-Symbolic Commonsense Reasoning
Forough Arabshahi
Jennifer Lee
Mikayla Gawarecki
Kathryn Mazaitis
A. Azaria
Tom Michael Mitchell
LRM
25
48
0
17 Jun 2020
Safety Verification of Deep Neural Networks
Safety Verification of Deep Neural Networks
Xiaowei Huang
Marta Kwiatkowska
Sen Wang
Min Wu
AAML
183
932
0
21 Oct 2016
Google's Neural Machine Translation System: Bridging the Gap between
  Human and Machine Translation
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Yonghui Wu
M. Schuster
Z. Chen
Quoc V. Le
Mohammad Norouzi
...
Alex Rudnick
Oriol Vinyals
G. Corrado
Macduff Hughes
J. Dean
AIMat
718
6,748
0
26 Sep 2016
1