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Deep Learning of Causal Structures in High Dimensions

Deep Learning of Causal Structures in High Dimensions

9 December 2022
Kai Lagemann
C. Lagemann
B. Taschler
S. Mukherjee
    CML
    BDL
    AI4CE
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Papers citing "Deep Learning of Causal Structures in High Dimensions"

10 / 10 papers shown
Title
TSCAN: Context-Aware Uplift Modeling via Two-Stage Training for Online Merchant Business Diagnosis
TSCAN: Context-Aware Uplift Modeling via Two-Stage Training for Online Merchant Business Diagnosis
Hangtao Zhang
Zhe Li
K. Zhang
26
0
0
26 Apr 2025
Causally-informed Deep Learning towards Explainable and Generalizable Outcomes Prediction in Critical Care
Causally-informed Deep Learning towards Explainable and Generalizable Outcomes Prediction in Critical Care
Yuxiao Cheng
Xinxin Song
Ziqian Wang
Qin Zhong
Kunlun He
J. Suo
OOD
CML
85
0
0
04 Feb 2025
No Foundations without Foundations -- Why semi-mechanistic models are essential for regulatory biology
No Foundations without Foundations -- Why semi-mechanistic models are essential for regulatory biology
Luka Kovacevic
Thomas Gaudelet
James Opzoomer
Hagen Triendl
John Whittaker
Caroline Uhler
Lindsay Edwards
J. Taylor-King
AI4CE
62
0
0
31 Jan 2025
Causally-Aware Unsupervised Feature Selection Learning
Causally-Aware Unsupervised Feature Selection Learning
Zongxin Shen
Yanyong Huang
Minbo Ma
Tianrui Li
Fengmao Lv
Tianrui Li
CML
53
0
1
28 Jan 2025
An AI-powered Bayesian generative modeling approach for causal inference in observational studies
Qiao Liu
W. Wong
CML
31
0
0
03 Jan 2025
Towards Graph Prompt Learning: A Survey and Beyond
Towards Graph Prompt Learning: A Survey and Beyond
Qingqing Long
Yuchen Yan
Peiyan Zhang
Chen Fang
Wentao Cui
...
Shiyue Jiang
Zheng Fang
Chong Chen
Xian-Sheng Hua
Yuanchun Zhou
AI4CE
29
0
0
26 Aug 2024
Simulation-based Benchmarking for Causal Structure Learning in Gene
  Perturbation Experiments
Simulation-based Benchmarking for Causal Structure Learning in Gene Perturbation Experiments
Luka Kovacevic
Izzy Newsham
Sach Mukherjee
John Whittaker
CML
26
2
0
08 Jul 2024
Response Theory via Generative Score Modeling
Response Theory via Generative Score Modeling
L. T. Giorgini
Katherine Deck
Tobias Bischoff
Andre N. Souza
19
9
0
01 Feb 2024
Uncovering wall-shear stress dynamics from neural-network enhanced fluid
  flow measurements
Uncovering wall-shear stress dynamics from neural-network enhanced fluid flow measurements
Esther Lagemann
Steven L. Brunton
Christian Lagemann
13
4
0
17 Oct 2023
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Z. Tu
Kaiming He
261
10,106
0
16 Nov 2016
1