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PyTorch, Explain! A Python library for Logic Explained Networks

PyTorch, Explain! A Python library for Logic Explained Networks

25 May 2021
Pietro Barbiero
Gabriele Ciravegna
Dobrik Georgiev
Francesco Giannini
    FAtt
    XAI
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Papers citing "PyTorch, Explain! A Python library for Logic Explained Networks"

4 / 4 papers shown
Title
Interpretable Reinforcement Learning for Robotics and Continuous Control
Interpretable Reinforcement Learning for Robotics and Continuous Control
Rohan R. Paleja
Letian Chen
Yaru Niu
Andrew Silva
Zhaoxin Li
...
K. Chang
H. E. Tseng
Yan Wang
S. Nageshrao
Matthew C. Gombolay
37
7
0
16 Nov 2023
Learning Interpretable, High-Performing Policies for Autonomous Driving
Learning Interpretable, High-Performing Policies for Autonomous Driving
Rohan R. Paleja
Yaru Niu
Andrew Silva
Chace Ritchie
Sugju Choi
Matthew C. Gombolay
27
16
0
04 Feb 2022
Logic Explained Networks
Logic Explained Networks
Gabriele Ciravegna
Pietro Barbiero
Francesco Giannini
Marco Gori
Pietro Lio
Marco Maggini
S. Melacci
42
69
0
11 Aug 2021
Entropy-based Logic Explanations of Neural Networks
Entropy-based Logic Explanations of Neural Networks
Pietro Barbiero
Gabriele Ciravegna
Francesco Giannini
Pietro Lio
Marco Gori
S. Melacci
FAtt
XAI
30
78
0
12 Jun 2021
1