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Tag: unsupervised

  • Unsupervised Continual Learning for Amortized Bayesian Inference

    Unsupervised Continual Learning for Amortized Bayesian Inference arXiv:2602.22884v1 Announce Type: new Abstract: Amortized Bayesian Inference (ABI) enables efficient posterior estimation using generative neural networks trained on simulated data, but often suffers from performance degradation under model misspecification. While self-consistency (SC) training on unlabeled empirical data can enhance network robustness, current approaches are limited to static,…

  • Unsupervised Feature Selection via Robust Autoencoder and Adaptive Graph Learning

    Unsupervised Feature Selection via Robust Autoencoder and Adaptive Graph Learning arXiv:2512.18720v1 Announce Type: new Abstract: Effective feature selection is essential for high-dimensional data analysis and machine learning. Unsupervised feature selection (UFS) aims to simultaneously cluster data and identify the most discriminative features. Most existing UFS methods linearly project features into a pseudo-label space for clustering,…

  • Explainable Unsupervised Anomaly Detection with Random Forest

    Explainable Unsupervised Anomaly Detection with Random Forest arXiv:2504.16075v1 Announce Type: new Abstract: We describe the use of an unsupervised Random Forest for similarity learning and improved unsupervised anomaly detection. By training a Random Forest to discriminate between real data and synthetic data sampled from a uniform distribution over the real data bounds, a distance measure…