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Variational Inference

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TitleStatusHype
Composing Normalizing Flows for Inverse Problems—0
Amortized Context Vector Inference for Sequence-to-Sequence Networks—0
Hamiltonian Policy Optimization in Reinforcement Learning—0
Interpretable Operational Risk Classification with Semi-Supervised Variational Autoencoder—0
Hamiltonian Policy Optimization—0
An Equivalence between Bayesian Priors and Penalties in Variational Inference—0
Half-VAE: An Encoder-Free VAE to Bypass Explicit Inverse Mapping—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
Half-AVAE: Adversarial-Enhanced Factorized and Structured Encoder-Free VAE for Underdetermined Independent Component Analysis—0
Group Factor Analysis—0
Gray-box inference for structured Gaussian process models—0
Neural Graph Collaborative Filtering Using Variational Inference—0
Concurrent Training and Layer Pruning of Deep Neural Networks—0
Amortized Bayesian Meta-Learning—0
A Deep Variational Bayesian Framework for Blind Image Deblurring—0
Joint Modeling of Visual Objects and Relations for Scene Graph Generation—0
A Bayesian Detect to Track System for Robust Visual Object Tracking and Semi-Supervised Model Learning—0
Distance-Preserving Spatial Representations in Genomic Data—0
PGODE: Towards High-quality System Dynamics Modeling—0
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