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Variational Inference

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TitleStatusHype
Hierarchical Bayes Autoencoders—0
Probabilistic View of Multi-agent Reinforcement Learning: A Unified Approach—0
Deep Bayesian Structure NetworksCode0
LAVAE: Disentangling Location and Appearance—0
A deep adversarial approach based on multi-sensor fusion for remaining useful life prognostics—0
Variational Conditional GAN for Fine-grained Controllable Image Generation—0
Compositional uncertainty in deep Gaussian processesCode0
Refined α-Divergence Variational Inference via Rejection Sampling—0
Variational Bayesian Context-aware Representation for Grocery RecommendationCode0
Scalable Gaussian Process Classification with Additive Noise for Various LikelihoodsCode0
Reconstructing continuous distributions of 3D protein structure from cryo-EM imagesCode0
Curve Fitting from Probabilistic Emissions and Applications to Dynamic Item Response TheoryCode0
Dissecting Non-Vacuous Generalization Bounds based on the Mean-Field Approximation—0
Independent Subspace Analysis for Unsupervised Learning of Disentangled Representations—0
Latent Gaussian process with composite likelihoods and numerical quadrature—0
On the Expressiveness of Approximate Inference in Bayesian Neural NetworksCode0
Visual Deprojection: Probabilistic Recovery of Collapsed Dimensions—0
Variational Denoising Network: Toward Blind Noise Modeling and RemovalCode1
Variational Graph Recurrent Neural NetworksCode1
Stochastic Filter Groups for Multi-Task CNNs: Learning Specialist and Generalist Convolution Kernels—0
uniblock: Scoring and Filtering Corpus with Unicode Block InformationCode0
Tutorial and Survey on Probabilistic Graphical Model and Variational Inference in Deep Reinforcement Learning—0
Learning document embeddings along with their uncertaintiesCode0
Hierarchical Bayesian Personalized Recommendation: A Case Study and Beyond—0
Semi-Implicit Graph Variational Auto-EncodersCode0
Unconstrained Monotonic Neural NetworksCode0
To Beta or Not To Beta: Information Bottleneck for DigitaL Image Forensics—0
Convergence Rates of Variational Inference in Sparse Deep Learning—0
Probabilistic Models with Deep Neural NetworksCode0
Efficient Language Modeling with Automatic Relevance Determination in Recurrent Neural Networks—0
Uncertainty in Model-Agnostic Meta-Learning using Variational Inference—0
On importance-weighted autoencoders—0
Tutorial: Deriving the Standard Variational Autoencoder (VAE) Loss Function—0
Towards Verified Stochastic Variational Inference for Probabilistic ProgramsCode0
D-GAN: Deep Generative Adversarial Nets for Spatio-Temporal Prediction—0
Subspace Inference for Bayesian Deep LearningCode0
Structured Variational Inference in Unstable Gaussian Process State Space ModelsCode0
The Dynamic Embedded Topic ModelCode0
Interpretable Dynamics Models for Data-Efficient Reinforcement Learning—0
Trust-Region Variational Inference with Gaussian Mixture Models—0
Topic Modeling in Embedding SpacesCode1
Bayesian deep learning with hierarchical prior: Predictions from limited and noisy data—0
Variational Inference MPC for Bayesian Model-based Reinforcement Learning—0
Neuron ranking -- an informed way to condense convolutional neural networks architecture—0
Learning GPLVM with arbitrary kernels using the unscented transformationCode0
Deep Bayesian Natural Language Processing—0
Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep LearningCode0
The Thermodynamic Variational ObjectiveCode0
Empirical Study of the Benefits of Overparameterization in Learning Latent Variable ModelsCode0
PointFlow: 3D Point Cloud Generation with Continuous Normalizing FlowsCode2
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