| Hierarchical mixtures of Unigram models for short text clustering: The role of Beta-Liouville priors | Oct 29, 2024 | Short Text ClusteringText Clustering | —Unverified | 0 |
| Hierarchical models for neural population dynamics in the presence of non-stationarity | Oct 12, 2014 | Variational Inference | —Unverified | 0 |
| Hierarchical Sparse Bayesian Multitask Model with Scalable Inference for Microbiome Analysis | Feb 4, 2025 | Binary ClassificationUncertainty Quantification | —Unverified | 0 |
| HierVST: Hierarchical Adaptive Zero-shot Voice Style Transfer | Jul 30, 2023 | Style TransferVariational Inference | —Unverified | 0 |
| Higher-Order Inference for Multi-Class Log-Supermodular Models | Dec 1, 2015 | Image SegmentationSemantic Segmentation | —Unverified | 0 |
| High Mutual Information in Representation Learning with Symmetric Variational Inference | Oct 4, 2019 | DecoderRepresentation Learning | —Unverified | 0 |
| Homeostatic plasticity in Bayesian spiking networks as Expectation Maximization with posterior constraints | Dec 1, 2012 | Bayesian InferenceVariational Inference | —Unverified | 0 |
| How particular is the physics of the free energy principle? | May 24, 2021 | Bayesian InferenceVariational Inference | —Unverified | 0 |
| How to deal with missing data in supervised deep learning? | Sep 29, 2021 | Deep LearningInductive Bias | —Unverified | 0 |
| Hybrid Bayesian Neural Networks with Functional Probabilistic Layers | Jul 14, 2021 | Bayesian InferenceGaussian Processes | —Unverified | 0 |