ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2303.02186
  4. Cited By
Causal Deep Learning

Causal Deep Learning

3 March 2023
Jeroen Berrevoets
Krzysztof Kacprzyk
Zhaozhi Qian
M. Schaar
    CML
    AI4CE
ArXivPDFHTML

Papers citing "Causal Deep Learning"

9 / 9 papers shown
Title
Shape Modeling of Longitudinal Medical Images: From Diffeomorphic Metric Mapping to Deep Learning
Shape Modeling of Longitudinal Medical Images: From Diffeomorphic Metric Mapping to Deep Learning
Edwin Tay
Nazli Tümer
Amir A. Zadpoor
MedIm
52
0
0
27 Mar 2025
Causality Is Key to Understand and Balance Multiple Goals in Trustworthy ML and Foundation Models
Causality Is Key to Understand and Balance Multiple Goals in Trustworthy ML and Foundation Models
Ruta Binkyte
Ivaxi Sheth
Zhijing Jin
Mohammad Havaei
Bernhard Schölkopf
Mario Fritz
122
0
0
28 Feb 2025
Integrating Causality with Neurochaos Learning: Proposed Approach and Research Agenda
Integrating Causality with Neurochaos Learning: Proposed Approach and Research Agenda
Nanjangud C. Narendra
Nithin Nagaraj
OOD
CML
39
0
0
23 Jan 2025
NarrativeBridge: Enhancing Video Captioning with Causal-Temporal Narrative
NarrativeBridge: Enhancing Video Captioning with Causal-Temporal Narrative
Asmar Nadeem
Faegheh Sardari
R. Dawes
Syed Sameed Husain
Adrian Hilton
Armin Mustafa
49
4
0
10 Jun 2024
Enhancing the Performance of Neural Networks Through Causal Discovery
  and Integration of Domain Knowledge
Enhancing the Performance of Neural Networks Through Causal Discovery and Integration of Domain Knowledge
Xiaoge Zhang
Xiao-Lin Wang
Fenglei Fan
Yiu-ming Cheung
Indranil Bose
34
1
0
29 Nov 2023
MIRACLE: Causally-Aware Imputation via Learning Missing Data Mechanisms
MIRACLE: Causally-Aware Imputation via Learning Missing Data Mechanisms
Trent Kyono
Yao Zhang
Alexis Bellot
M. Schaar
CML
47
61
0
04 Nov 2021
Causal-TGAN: Generating Tabular Data Using Causal Generative Adversarial
  Networks
Causal-TGAN: Generating Tabular Data Using Causal Generative Adversarial Networks
Bingyang Wen
Luis Oliveros Colon
K. P. Subbalakshmi
R. Chandramouli
CML
GAN
38
18
0
21 Apr 2021
Improving Fair Predictions Using Variational Inference In Causal Models
Improving Fair Predictions Using Variational Inference In Causal Models
Rik Helwegen
Christos Louizos
Patrick Forré
FaML
11
6
0
25 Aug 2020
Learning Sparse Nonparametric DAGs
Learning Sparse Nonparametric DAGs
Xun Zheng
Chen Dan
Bryon Aragam
Pradeep Ravikumar
Eric P. Xing
CML
111
258
0
29 Sep 2019
1