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Variational Inference

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TitleStatusHype
Adaptive RKHS Fourier Features for Compositional Gaussian Process ModelsCode0
Particle Semi-Implicit Variational InferenceCode0
Improving the performance of Stein variational inference through extreme sparsification of physically-constrained neural network models—0
Time Series Clustering with General State Space Models via Stochastic Variational InferenceCode0
Amplify Graph Learning for Recommendation via Sparsity Completion—0
Learning Optimal Filters Using Variational Inference—0
What type of inference is planning?Code0
Empirical Bayes for Dynamic Bayesian Networks Using Generalized Variational Inference—0
Tree-based variational inference for Poisson log-normal modelsCode0
CausalMMM: Learning Causal Structure for Marketing Mix Modeling—0
VICatMix: variational Bayesian clustering and variable selection for discrete biomedical dataCode0
Flexible Tails for Normalizing FlowsCode0
Probabilistic Programming with Programmable Variational Inference—0
Video Generation with Learned Action Prior—0
Variational Distillation of Diffusion Policies into Mixture of Experts—0
Period Singer: Integrating Periodic and Aperiodic Variational Autoencoders for Natural-Sounding End-to-End Singing Voice Synthesis—0
Injective flows for star-like manifolds—0
Assessment of Uncertainty Quantification in Universal Differential Equations—0
Convergence rate of random scan Coordinate Ascent Variational Inference under log-concavity—0
Efficient Mixture Learning in Black-Box Variational InferenceCode0
Central Limit Theorem for Bayesian Neural Network trained with Variational Inference—0
Variational Flow Matching for Graph Generation—0
Stochastic full waveform inversion with deep generative prior for uncertainty quantification—0
Robust Inference of Dynamic Covariance Using Wishart Processes and Sequential Monte CarloCode0
Concurrent Training and Layer Pruning of Deep Neural Networks—0
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