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Refining neural network predictions using background knowledge
10 June 2022
Alessandro Daniele
Emile van Krieken
Luciano Serafini
F. V. Harmelen
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Papers citing
"Refining neural network predictions using background knowledge"
10 / 10 papers shown
Title
Noise to the Rescue: Escaping Local Minima in Neurosymbolic Local Search
Alessandro Daniele
Emile van Krieken
65
0
0
03 Mar 2025
Beyond the convexity assumption: Realistic tabular data generation under quantifier-free real linear constraints
Mihaela C. Stoian
Eleonora Giunchiglia
89
2
0
25 Feb 2025
ULLER: A Unified Language for Learning and Reasoning
Emile van Krieken
Samy Badreddine
Robin Manhaeve
Eleonora Giunchiglia
NAI
32
3
0
01 May 2024
Simple and Effective Transfer Learning for Neuro-Symbolic Integration
Alessandro Daniele
Tommaso Campari
Sagar Malhotra
Luciano Serafini
27
1
0
21 Feb 2024
Exploiting T-norms for Deep Learning in Autonomous Driving
Mihaela C. Stoian
Eleonora Giunchiglia
Thomas Lukasiewicz
29
7
0
17 Feb 2024
Semantic Strengthening of Neuro-Symbolic Learning
Kareem Ahmed
Kai-Wei Chang
Guy Van den Broeck
11
12
0
28 Feb 2023
A-NeSI: A Scalable Approximate Method for Probabilistic Neurosymbolic Inference
Emile van Krieken
Thiviyan Thanapalasingam
Jakub M. Tomczak
F. V. Harmelen
A. T. Teije
16
35
0
23 Dec 2022
ROAD-R: The Autonomous Driving Dataset with Logical Requirements
Eleonora Giunchiglia
Mihaela C. Stoian
Salman Khan
Fabio Cuzzolin
Thomas Lukasiewicz
AI4TS
44
31
0
04 Oct 2022
Logic Tensor Networks
Samy Badreddine
Artur Garcez
Luciano Serafini
Michael Spranger
NAI
70
199
0
25 Dec 2020
Logic Tensor Networks for Semantic Image Interpretation
Ivan Donadello
Luciano Serafini
Artur Garcez
59
209
0
24 May 2017
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