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Neural Bayesian Network Understudy

Neural Bayesian Network Understudy

15 November 2022
Paloma Rabaey
Cedric De Boom
Thomas Demeester
    BDL
    CML
ArXivPDFHTML

Papers citing "Neural Bayesian Network Understudy"

8 / 8 papers shown
Title
Causal Inference with Deep Causal Graphs
Causal Inference with Deep Causal Graphs
Álvaro Parafita
Jordi Vitrià
CML
36
10
0
15 Jun 2020
Neural Enhanced Belief Propagation on Factor Graphs
Neural Enhanced Belief Propagation on Factor Graphs
Victor Garcia Satorras
Max Welling
73
96
0
04 Mar 2020
A Comprehensive Scoping Review of Bayesian Networks in Healthcare: Past,
  Present and Future
A Comprehensive Scoping Review of Bayesian Networks in Healthcare: Past, Present and Future
E. Kyrimi
S. McLachlan
Kudakwashe Dube
Mariana R. Neves
Ali Fahmi
Norman E. Fenton
AI4TS
26
78
0
20 Feb 2020
Learning Neural Causal Models from Unknown Interventions
Learning Neural Causal Models from Unknown Interventions
Nan Rosemary Ke
O. Bilaniuk
Anirudh Goyal
Stefan Bauer
Hugo Larochelle
Bernhard Schölkopf
Michael C. Mozer
C. Pal
Yoshua Bengio
CML
OOD
94
168
0
02 Oct 2019
Neural Probabilistic Logic Programming in DeepProbLog
Neural Probabilistic Logic Programming in DeepProbLog
Robin Manhaeve
Sebastijan Dumancic
Angelika Kimmig
T. Demeester
Luc de Raedt
NAI
78
553
0
18 Jul 2019
Causal Learning and Explanation of Deep Neural Networks via Autoencoded
  Activations
Causal Learning and Explanation of Deep Neural Networks via Autoencoded Activations
M. Harradon
Jeff Druce
Brian E. Ruttenberg
BDL
CML
43
82
0
02 Feb 2018
Counterfactual Explanations without Opening the Black Box: Automated
  Decisions and the GDPR
Counterfactual Explanations without Opening the Black Box: Automated Decisions and the GDPR
Sandra Wachter
Brent Mittelstadt
Chris Russell
MLAU
98
2,348
0
01 Nov 2017
Causal Networks: Semantics and Expressiveness
Causal Networks: Semantics and Expressiveness
Thomas Verma
Judea Pearl
GNN
75
551
0
27 Mar 2013
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