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Variational Inference

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TitleStatusHype
Jensen-Shannon Divergence Based Novel Loss Functions for Bayesian Neural NetworksCode0
Differentially private partitioned variational inferenceCode0
Amortized Variational Inference: A Systematic Review—0
Variational Inference for Infinitely Deep Neural NetworksCode1
Bit Allocation using OptimizationCode1
Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification—0
Langevin Autoencoders for Learning Deep Latent Variable ModelsCode0
On the detrimental effect of invariances in the likelihood for variational inference—0
Fair Inference for Discrete Latent Variable Models—0
Modelling Technical and Biological Effects in scRNA-seq data with Scalable GPLVMsCode0
Structured Recognition for Generative Models with Explaining AwayCode0
CARE: Certifiably Robust Learning with Reasoning via Variational InferenceCode0
β-CapsNet: Learning Disentangled Representation for CapsNet by Information Bottleneck—0
Revisiting Active Sets for Gaussian Process DecodersCode0
A Variational Approach to Parameter Estimation for Characterizing 2-D Cluster Variation Method Topographies—0
Bayesian Neural Network Inference via Implicit Models and the Posterior Predictive Distribution—0
Variational Inference for Model-Free and Model-Based Reinforcement Learning—0
ProBoost: a Boosting Method for Probabilistic Classifiers—0
Learning Multiscale Non-stationary Causal Structures—0
Smoothness Analysis for Probabilistic Programs with Application to Optimised Variational InferenceCode0
Transductive Decoupled Variational Inference for Few-Shot ClassificationCode1
Cold Diffusion: Inverting Arbitrary Image Transforms Without NoiseCode3
Langevin Diffusion Variational Inference—0
Training Latent Variable Models with Auto-encoding Variational Bayes: A TutorialCode1
Uncertainty Quantification for Traffic Forecasting: A Unified Approach—0
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