Research map / Probabilistic and scientific modeling / Causal discovery
On the Identifiability of Nonlinear ICA: Sparsity and Beyond
Read the paperCheck your idea against 108,967 papers
AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.
Closest papers by meaning
- Robustness of Nonlinear Representation Learning (ICML 2024 · similarity 0.91)
- Diverse Influence Component Analysis: A Geometric Approach to Nonlinear Mixture Identifiability (NeurIPS 2025 · similarity 0.90)
- Feature learning from non-Gaussian inputs: the case of Independent Component Analysis in high dimensions (ICML 2025 · similarity 0.86)
- Nonparametric Evaluation of Noisy ICA Solutions (NeurIPS 2024 · similarity 0.86)
- Identifiable Shared Component Analysis of Unpaired Multimodal Mixtures (NeurIPS 2024 · similarity 0.85)
- Beyond ICA: Identifiability by Symmetry Breaking (NeurIPS 2026 · similarity 0.85)
Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.