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Variational Inference

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TitleStatusHype
BlackJAX: Composable Bayesian inference in JAXCode5
HierSpeech++: Bridging the Gap between Semantic and Acoustic Representation of Speech by Hierarchical Variational Inference for Zero-shot Speech SynthesisCode3
Cold Diffusion: Inverting Arbitrary Image Transforms Without NoiseCode3
PointFlow: 3D Point Cloud Generation with Continuous Normalizing FlowsCode2
The Variational Bandwidth Bottleneck: Stochastic Evaluation on an Information BudgetCode2
Pre-training is a Hot Topic: Contextualized Document Embeddings Improve Topic CoherenceCode2
normflows: A PyTorch Package for Normalizing FlowsCode2
Diffusion Prior-Based Amortized Variational Inference for Noisy Inverse ProblemsCode2
Leveraging Instance Features for Label Aggregation in Programmatic Weak SupervisionCode2
Neural Posterior Estimation for Cataloging Astronomical Images with Spatially Varying Backgrounds and Point Spread FunctionsCode2
Scalable Gradients for Stochastic Differential EquationsCode2
Stable Derivative Free Gaussian Mixture Variational Inference for Bayesian Inverse ProblemsCode2
Tutorial on amortized optimizationCode2
Variational Bayesian Last LayersCode2
Batch and match: black-box variational inference with a score-based divergenceCode2
Gaussian Processes for Big DataCode2
Cross-lingual Contextualized Topic Models with Zero-shot LearningCode2
Denoising Diffusion Restoration ModelsCode2
GPflow: A Gaussian process library using TensorFlowCode2
PITS: Variational Pitch Inference without Fundamental Frequency for End-to-End Pitch-controllable TTSCode2
Modelling Non-Smooth Signals with Complex Spectral StructureCode2
Neural Markov Random Field for Stereo MatchingCode2
Autoencoding Variational Inference For Topic ModelsCode1
Auto-Encoding Variational BayesCode1
Automatic Differentiation Variational InferenceCode1
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