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| Scalable Bayesian Low-Rank Adaptation of Large Language Models via Stochastic Variational Subspace Inference | Jun 26, 2025 | Bayesian InferenceUncertainty Quantification | CodeCode Available | 0 |
| On Last-Layer Algorithms for Classification: Decoupling Representation from Uncertainty Estimation | Jan 22, 2020 | General ClassificationRepresentation Learning | CodeCode Available | 0 |
| Function-space Parameterization of Neural Networks for Sequential Learning | Mar 16, 2024 | Continual LearningGaussian Processes | CodeCode Available | 0 |
| The Deep Latent Space Particle Filter for Real-Time Data Assimilation with Uncertainty Quantification | Jun 4, 2024 | Dimensionality ReductionUncertainty Quantification | CodeCode Available | 0 |
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