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1802.02195
Cited By
Granger-causal Attentive Mixtures of Experts: Learning Important Features with Neural Networks
6 February 2018
Patrick Schwab
Djordje Miladinovic
W. Karlen
CML
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Papers citing
"Granger-causal Attentive Mixtures of Experts: Learning Important Features with Neural Networks"
13 / 13 papers shown
Title
TPK: Trustworthy Trajectory Prediction Integrating Prior Knowledge For Interpretability and Kinematic Feasibility
Marius Baden
Ahmed Abouelazm
Christian Hubschneider
Yin Wu
Daniel Slieter
J. M. Zöllner
31
0
0
10 May 2025
Neural Markov Jump Processes
Patrick Seifner
Ramses J. Sanchez
BDL
35
7
0
31 May 2023
Temporal-Spatial Causal Interpretations for Vision-Based Reinforcement Learning
Wenjie Shi
Gao Huang
Shiji Song
Cheng Wu
31
9
0
06 Dec 2021
Inductive Granger Causal Modeling for Multivariate Time Series
Yunfei Chu
Xiaowei Wang
Jianxin Ma
Kunyang Jia
Jingren Zhou
Hongxia Yang
CML
AI4TS
11
11
0
10 Feb 2021
Interpretability and Explainability: A Machine Learning Zoo Mini-tour
Ricards Marcinkevics
Julia E. Vogt
XAI
28
119
0
03 Dec 2020
Clinical Predictive Models for COVID-19: Systematic Study
Patrick Schwab
August DuMont Schütte
Benedikt Dietz
Stefan Bauer
OOD
ELM
42
35
0
17 May 2020
A Deep Learning Approach to Diagnosing Multiple Sclerosis from Smartphone Data
Patrick Schwab
W. Karlen
38
24
0
02 Jan 2020
Variable-lag Granger Causality for Time Series Analysis
Chainarong Amornbunchornvej
Elena Zheleva
T. Berger-Wolf
CML
AI4TS
22
21
0
18 Dec 2019
CXPlain: Causal Explanations for Model Interpretation under Uncertainty
Patrick Schwab
W. Karlen
FAtt
CML
40
205
0
27 Oct 2019
Learning Counterfactual Representations for Estimating Individual Dose-Response Curves
Patrick Schwab
Lorenz Linhardt
Stefan Bauer
J. M. Buhmann
W. Karlen
CML
OOD
32
131
0
03 Feb 2019
Perfect Match: A Simple Method for Learning Representations For Counterfactual Inference With Neural Networks
Patrick Schwab
Lorenz Linhardt
W. Karlen
CML
BDL
13
111
0
01 Oct 2018
Not to Cry Wolf: Distantly Supervised Multitask Learning in Critical Care
Patrick Schwab
E. Keller
C. Muroi
David J. Mack
C. Strässle
W. Karlen
26
23
0
14 Feb 2018
MARGIN: Uncovering Deep Neural Networks using Graph Signal Analysis
Rushil Anirudh
Jayaraman J. Thiagarajan
R. Sridhar
T. Bremer
FAtt
AAML
23
12
0
15 Nov 2017
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