Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
March 27, 2024Open Access

Semi-Supervised Learning for Deep Causal Generative Models

View Full Paper
Ask AI
Bookmark
Share

Authors

YIYasin IbrahimUniversity of OxfordHWHermione WarrUniversity of OxfordKKKonstantinos KamnitsasJohns Hopkins University

Discussion

Loading...

Member takes

Implication

Key Points

Key points are not available for this paper at this time.

Cite This Study

Ibrahim et al. (2024) studied this question.

synapsesocial.com/papers/68e7230db6db64358769d476https://doi.org/10.48550/arxiv.2403.18717
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1SEMI-CAVA: A Causal Variational Approach to Semi-Supervised Learning2025 · 3 citations
  2. 2Mitigating attribute amplification in counterfactual image generation2024
  3. 3MACAW 3D: A masked causal normalizing flow method for counterfactual 3D brain image generation2024 · 1 citations
  4. 4Empowering Predictive Modeling by GAN-based Causal Information Learning2024 · 1 citations
  5. 5ProCausal-WS: Weakly Supervised Causal Representation Learning Driven Interpretable Prostate Cancer Diagnosis2026