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Variational Inference

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TitleStatusHype
Indian Buffet Process Deep Generative Models for Semi-Supervised Classification—0
Copula variational inference—0
Inducing Interpretable Representations with Variational Autoencoders—0
Inference for determinantal point processes without spectral knowledge—0
Correcting the Sub-optimal Bit Allocation—0
Inferring the quantum density matrix with machine learning—0
Latent Time Neural Ordinary Differential Equations—0
Infinite Mixture of Inverted Dirichlet Distributions—0
InfoNCE is variational inference in a recognition parameterised model—0
Correlated Parameters to Accurately Measure Uncertainty in Deep Neural Networks—0
Information Field Theory and Artificial Intelligence—0
Information Theory with Kernel Methods—0
Informative Priors Improve the Reliability of Multimodal Clinical Data Classification—0
Injective flows for star-like manifolds—0
Input Dependent Sparse Gaussian Processes—0
An Introduction to Variational Inference—0
Instance-Aware Graph Convolutional Network for Multi-Label Classification—0
Integrated Non-Factorized Variational Inference—0
Integrating Document Clustering and Topic Modeling—0
Integration of Knowledge Graph Embedding Into Topic Modeling with Hierarchical Dirichlet Process—0
Variational Policy Propagation for Multi-agent Reinforcement Learning—0
Interaction-Aware Topic Model for Microblog Conversations through Network Embedding and User Attention—0
Interactive Graph Convolutional Filtering—0
Adaptive and Calibrated Ensemble Learning with Dependent Tail-free Process—0
D-GAN: Deep Generative Adversarial Nets for Spatio-Temporal Prediction—0
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