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Variational Inference

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Showing 1451–1475 of 2274 papers

TitleStatusHype
Inferring the quantum density matrix with machine learning—0
Infinite Mixture of Inverted Dirichlet Distributions—0
InfoNCE is variational inference in a recognition parameterised model—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
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
Interpretable Dynamics Models for Data-Efficient Reinforcement Learning—0
Interpretable Operational Risk Classification with Semi-Supervised Variational Autoencoder—0
Interpretable User Models via Decision-rule Gaussian Processes: Preliminary Results on Energy Storage—0
An Equivalence between Bayesian Priors and Penalties in Variational Inference—0
IntrinsicTimescales.jl: A Julia package to estimate intrinsic (neural) timescales (INTs) from time-series data—0
Introducing instance label correlation in multiple instance learning. Application to cancer detection on histopathological images—0
Introducing Routing Uncertainty in Capsule Networks—0
Investigating maximum likelihood based training of infinite mixtures for uncertainty quantification—0
ISAM-MTL: Cross-subject multi-task learning model with identifiable spikes and associative memory networks—0
ISA-VAE: Independent Subspace Analysis with Variational Autoencoders—0
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