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Informed Machine Learning -- A Taxonomy and Survey of Integrating
  Knowledge into Learning Systems
v1v2v3 (latest)

Informed Machine Learning -- A Taxonomy and Survey of Integrating Knowledge into Learning Systems

29 March 2019
Laura von Rueden
S. Mayer
Katharina Beckh
B. Georgiev
Sven Giesselbach
R. Heese
Birgit Kirsch
Julius Pfrommer
Annika Pick
Rajkumar Ramamurthy
Michal Walczak
Jochen Garcke
Christian Bauckhage
Jannis Schuecker
ArXiv (abs)PDFHTML

Papers citing "Informed Machine Learning -- A Taxonomy and Survey of Integrating Knowledge into Learning Systems"

17 / 167 papers shown
Title
Explainable Machine Learning with Prior Knowledge: An Overview
Explainable Machine Learning with Prior Knowledge: An Overview
Katharina Beckh
Sebastian Müller
Matthias Jakobs
Vanessa Toborek
Hanxiao Tan
Raphael Fischer
Pascal Welke
Sebastian Houben
Laura von Rueden
XAI
82
28
0
21 May 2021
BubbleNet: Inferring micro-bubble dynamics with semi-physics-informed
  deep learning
BubbleNet: Inferring micro-bubble dynamics with semi-physics-informed deep learning
Hanfeng Zhai
Quan Zhou
G. Hu
PINNAI4CE
51
16
0
15 May 2021
Towards Sensor Data Abstraction of Autonomous Vehicle Perception Systems
Towards Sensor Data Abstraction of Autonomous Vehicle Perception Systems
H. Reichert
Lukas F. Lang
Kevin Rösch
Daniel Bogdoll
Konrad Doll
Bernhard Sick
H. Reuss
Christoph Stiller
J. Marius Zöllner
76
4
0
14 May 2021
Explanation-Based Human Debugging of NLP Models: A Survey
Explanation-Based Human Debugging of NLP Models: A Survey
Piyawat Lertvittayakumjorn
Francesca Toni
LRM
145
79
0
30 Apr 2021
Plants Don't Walk on the Street: Common-Sense Reasoning for Reliable
  Semantic Segmentation
Plants Don't Walk on the Street: Common-Sense Reasoning for Reliable Semantic Segmentation
Linara Adilova
Elena Schulz
Maram Akila
Sebastian Houben
Jan David Schneider
Fabian Hueger
Tim Wirtz
22
1
0
19 Apr 2021
Street-Map Based Validation of Semantic Segmentation in Autonomous
  Driving
Street-Map Based Validation of Semantic Segmentation in Autonomous Driving
Laura von Rueden
Tim Wirtz
Fabian Hueger
Jan David Schneider
Nico Piatkowski
Christian Bauckhage
63
8
0
15 Apr 2021
Latent Space Data Assimilation by using Deep Learning
Latent Space Data Assimilation by using Deep Learning
Mathis Peyron
Anthony Fillion
S. Gürol
Victor Marchais
Serge Gratton
Pierre Boudier
G. Goret
AI4CE
87
47
0
01 Apr 2021
Injecting Knowledge in Data-driven Vehicle Trajectory Predictors
Injecting Knowledge in Data-driven Vehicle Trajectory Predictors
Mohammadhossein Bahari
Ismail Nejjar
Alexandre Alahi
86
50
0
08 Mar 2021
Calibrated simplex-mapping classification
Calibrated simplex-mapping classification
R. Heese
J. Schmid
Michal Walczak
Michael Bortz
57
3
0
04 Mar 2021
Incorporating Domain Knowledge into Deep Neural Networks
Incorporating Domain Knowledge into Deep Neural Networks
T. Dash
Sharad Chitlangia
Aditya Ahuja
A. Srinivasan
AI4CE
62
9
0
27 Feb 2021
Physics-Integrated Variational Autoencoders for Robust and Interpretable
  Generative Modeling
Physics-Integrated Variational Autoencoders for Robust and Interpretable Generative Modeling
Naoya Takeishi
Alexandros Kalousis
DRLAI4CE
102
56
0
25 Feb 2021
Reconstruction of Pairwise Interactions using Energy-Based Models
Reconstruction of Pairwise Interactions using Energy-Based Models
Christoph Feinauer
Carlo Lucibello
51
4
0
11 Dec 2020
Towards Map-Based Validation of Semantic Segmentation Masks
Towards Map-Based Validation of Semantic Segmentation Masks
Laura von Rueden
Tim Wirtz
Fabian Hueger
Jan David Schneider
Christian Bauckhage
31
1
0
03 Nov 2020
Compensating data shortages in manufacturing with monotonicity knowledge
Compensating data shortages in manufacturing with monotonicity knowledge
Martin von Kurnatowski
J. Schmid
Patrick Link
Rebekka Zache
L. Morand
T. Kraft
Ingo Schmidt
Anke Stoll
54
10
0
29 Oct 2020
CupNet -- Pruning a network for geometric data
CupNet -- Pruning a network for geometric data
R. Heese
L. Morand
Dirk Helm
Michael Bortz
3DPC
6
0
0
11 May 2020
Integrating Scientific Knowledge with Machine Learning for Engineering
  and Environmental Systems
Integrating Scientific Knowledge with Machine Learning for Engineering and Environmental Systems
J. Willard
X. Jia
Shaoming Xu
M. Steinbach
Vipin Kumar
AI4CE
158
414
0
10 Mar 2020
Neural Logic Rule Layers
Neural Logic Rule Layers
Jan Niclas Reimann
Andreas Schwung
NAIAI4CE
42
12
0
01 Jul 2019
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