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Variational Inference

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TitleStatusHype
CG-BERT: Conditional Text Generation with BERT for Generalized Few-shot Intent Detection—0
The equivalence between Stein variational gradient descent and black-box variational inference—0
Variational Inference with Vine Copulas: An efficient Approach for Bayesian Computer Model CalibrationCode0
Scalable Variational Gaussian Process Regression NetworksCode1
Markovian Score Climbing: Variational Inference with KL(p||q)—0
Deep Markov Spatio-Temporal FactorizationCode0
Variational Inference with Parameter Learning Applied to Vehicle Trajectory Estimation—0
Deep Reinforcement Learning with Weighted Q-Learning—0
Uncertainty Estimation in Cancer Survival Prediction—0
Nonparametric Deconvolution ModelsCode0
B-PINNs: Bayesian Physics-Informed Neural Networks for Forward and Inverse PDE Problems with Noisy Data—0
Towards Patient Record Summarization Through Joint Phenotype Learning in HIV Patients—0
Learning Discrete State Abstractions With Deep Variational InferenceCode0
Variational Inference for Deep Probabilistic Canonical Correlation Analysis—0
Scalable Uncertainty for Computer Vision with Functional Variational Inference—0
Sparse Gaussian Processes Revisited: Bayesian Approaches to Inducing-Variable Approximations—0
BasisVAE: Translation-invariant feature-level clustering with Variational AutoencodersCode1
mmFall: Fall Detection using 4D MmWave Radar and a Hybrid Variational RNN AutoEncoderCode1
Automatic Differentiation Variational Inference with Mixtures—0
Bayesian Neural Networks With Maximum Mean Discrepancy RegularizationCode0
Variational inference formulation for a model-free simulation of a dynamical system with unknown parameters by a recurrent neural network—0
Stein Variational Inference for Discrete Distributions—0
PlaNet of the Bayesians: Reconsidering and Improving Deep Planning Network by Incorporating Bayesian Inference—0
Gradient Boosted Normalizing FlowsCode1
MetFlow: A New Efficient Method for Bridging the Gap between Markov Chain Monte Carlo and Variational Inference—0
Composing Normalizing Flows for Inverse Problems—0
Automated Augmented Conjugate Inference for Non-conjugate Gaussian Process ModelsCode0
Variational Inference and Bayesian CNNs for Uncertainty Estimation in Multi-Factorial Bone Age Prediction—0
Handling the Positive-Definite Constraint in the Bayesian Learning RuleCode0
VFlow: More Expressive Generative Flows with Variational Data AugmentationCode1
Stochastic Normalizing Flows—0
Deep Gaussian Markov Random FieldsCode0
Latent Variable Modelling with Hyperbolic Normalizing FlowsCode1
Robustness of Bayesian Neural Networks to Gradient-Based AttacksCode1
Large Scale Tensor Regression using Kernels and Variational Inference—0
Cross-modal variational inference for bijective signal-symbol translation—0
Liberty or Depth: Deep Bayesian Neural Nets Do Not Need Complex Weight Posterior Approximations—0
A Probabilistic Formulation of Unsupervised Text Style TransferCode1
The k-tied Normal Distribution: A Compact Parameterization of Gaussian Mean Field Posteriors in Bayesian Neural Networks—0
Conditional Deep Gaussian Processes: multi-fidelity kernel learningCode0
Gaussian Variational State Estimation for Nonlinear State-Space Models—0
Automatic structured variational inferenceCode0
An Equivalence between Bayesian Priors and Penalties in Variational Inference—0
On the Information Bottleneck Problems: Models, Connections, Applications and Information Theoretic Views—0
On Implicit Regularization in β-VAEs—0
Parameter Space Factorization for Zero-Shot Learning across Tasks and LanguagesCode1
Efficient Probabilistic Logic Reasoning with Graph Neural NetworksCode1
Treatment effect estimation with disentangled latent factorsCode1
Multi-class Gaussian Process Classification with Noisy InputsCode1
Multivariate Gaussian Variational Inference by Natural Gradient Descent—0
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