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Variational Inference

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TitleStatusHype
Cross-modal variational inference for bijective signal-symbol translation—0
A Variational Dirichlet Framework for Out-of-Distribution Detection—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
Is MC Dropout Bayesian?—0
Isometric Gaussian Process Latent Variable Model for Dissimilarity Data—0
Learning Conditional Variational Autoencoders with Missing Covariates—0
D-GAN: Deep Generative Adversarial Nets for Spatio-Temporal Prediction—0
A Variational Perspective on Generative Flow Networks—0
A Factorial Mixture Prior for Compositional Deep Generative Models—0
Learning a Small Mixture of Trees—0
Mixture Representation Learning with Coupled Autoencoders—0
Joint Mapping and Calibration via Differentiable Sensor Fusion—0
Joint Modeling of Visual Objects and Relations for Scene Graph Generation—0
Learning Deep Latent-variable MRFs with Amortized Bethe Free Energy Minimization—0
Learning From Unpaired Data: A Variational Bayes Approach—0
Learning Optimal Filters Using Variational Inference—0
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