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#machine learning Preprint Aug 2026

Predicting Symptoms of Amotivation and Anhedonia among University Students with a Novel Oversampling Method

University students experience disproportionately high rates of common mental health conditions, such as depression, which can impair learning, social functioning, and overall well-being. Within this context, symptoms of amotivation (i.e. loss of motivational drive) and anhedonia (i.e. diminished interest or pleasure)...

Dang Nguyen, Bao Duong, Arun Kumar et al. · 0 citations
#machine learning Preprint Sep 2026

Geometry-Aware Bayesian Parameter-Efficient Fine-Tuning on the Stiefel Manifold via Stein Variational Gradient Descent

This paper builds on the singular value decomposition factorization of adapters to develop a framework based on Stein variational gradient descent (SVGD), which delivers strong model calibration and attains higher prediction accuracy than SVGD and related uncertainty estimation methods that are formulated in Euclidean...

Quang-Duy Tran, Trung Le, Bao Duong et al. · 0 citations
#machine learning Preprint Sep 2026

Similarity-Aware Personalized Federated Learning in Heterogeneous Environments

This work proposes SAPE-FL (Similarity-Aware Personalized Federated Learning), a novel personalization framework that anchors each client's model to both the global model and a similarity-weighted peer averaged model that mitigates negative transfer and enhances robustness in heterogeneous settings.

V. ArunKumarA, Sunil Gupta, Ngyuen Dang et al. · 0 citations

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