arXiv Machine Learning
When Do Gaussian Priors Fail? A Latent Geometry Investigation of RL Fine-Tuning
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DP-Splat: Bayesian Nonparametric Complexity Control for Gaussian Splatting
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FB-GDM: Fully-Bayesian Guided Diffusion Models for High-Dimensional Linear Inverse Problems via Unsupervised Variational Inference
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arXiv Machine Learning
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Stable Global Weighting of Flow Mixtures using Simplex Exponential Moving Average
arXiv:2607. 03809v1 Announce Type: new Abstract: Normalising flows provide a powerful variational family for approximate inference, yet individual architectures often fail to generalise across heterogeneous posterior geometries.
arXiv Machine Learning
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$\mathbf{\lambda}$-VAE: Variance Equalization for Posterior Collapse
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Recursively Trained Diffusion Models: Limiting Collapse Distribution and Spectral Characterization
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arXiv Machine Learning
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Response Renormalization for Critical Deep Equilibrium Models
arXiv:2608.23725v1 Announce Type: new Abstract: Deep Equilibrium Models (DEQs) compute predictions from a hidden representation unchanged by the model update. Training through this equilibrium uses i...