SOTAVerified

Variational Inference

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1801–1850 of 2274 papers

TitleStatusHype
Iterative Amortized InferenceCode0
Variational Inference: A Unified Framework of Generative Models and Some Revelations—0
Fast yet Simple Natural-Gradient Descent for Variational Inference in Complex ModelsCode0
Generative Adversarial Networks with Decoder-Encoder Output NoiseCode0
Distributed Variational Representation Learning—0
Latent Alignment and Variational AttentionCode0
A Variational Time Series Feature Extractor for Action PredictionCode0
Adaptive Path-Integral Autoencoder: Representation Learning and Planning for Dynamical SystemsCode0
Learning in Variational Autoencoders with Kullback-Leibler and Renyi Integral Bounds—0
Quasi-Monte Carlo Variational Inference—0
Understanding and Accelerating Particle-Based Variational InferenceCode1
Augment and Reduce: Stochastic Inference for Large Categorical DistributionsCode0
Variational Inference and Model Selection with Generalized Evidence Bounds—0
CRVI: Convex Relaxation for Variational Inference—0
Efficient Gradient-Free Variational Inference using Policy SearchCode0
Structured Variationally Auto-encoded Optimization—0
Markov Modulated Gaussian Cox Processes for Semi-Stationary Intensity Modeling of Events Data—0
Stock Movement Prediction from Tweets and Historical PricesCode0
Variational Inference and Deep Generative Models—0
Scalable Gaussian Process Inference with Finite-data Mean and Variance Guarantees—0
Uncertainty Estimations by Softplus normalization in Bayesian Convolutional Neural Networks with Variational InferenceCode0
Inference in Deep Gaussian Processes using Stochastic Gradient Hamiltonian Monte CarloCode0
Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in AdamCode0
Deep State Space Models for Unconditional Word Generation—0
Bayesian Model-Agnostic Meta-LearningCode1
A Structured Variational Autoencoder for Contextual Morphological InflectionCode0
Building Bayesian Neural Networks with Blocks: On Structure, Interpretability and Uncertainty—0
Using Social Network Information in Bayesian Truth Discovery—0
A Stein variational Newton methodCode0
A Spectral Approach to Gradient Estimation for Implicit DistributionsCode0
Scalable Multi-Class Bayesian Support Vector Machines for Structured and Unstructured Data—0
Finding Convincing Arguments Using Scalable Bayesian Preference LearningCode0
Boosting Black Box Variational InferenceCode0
Pathwise Derivatives for Multivariate Distributions—0
Cycle-Consistent Adversarial Learning as Approximate Bayesian Inference—0
Pathwise Derivatives Beyond the Reparameterization TrickCode0
Reparameterization Gradient for Non-differentiable ModelsCode0
Cyberattack Detection using Deep Generative Models with Variational Inference—0
Forward Amortized Inference for Likelihood-Free Variational Marginalization—0
Disentangling by Partitioning: A Representation Learning Framework for Multimodal Sensory Data—0
Hamiltonian Variational Auto-EncoderCode0
Wasserstein Variational Inference—0
Discrete flow posteriors for variational inference in discrete dynamical systems—0
Semi-Implicit Variational InferenceCode0
A Stochastic Decoder for Neural Machine Translation—0
An end-to-end Differentially Private Latent Dirichlet Allocation Using a Spectral Algorithm—0
Ergodic Inference: Accelerate Convergence by Optimisation—0
Uncertainty-Aware Attention for Reliable Interpretation and PredictionCode0
Efficient Inference in Multi-task Cox Process ModelsCode0
Variational Inference for Data-Efficient Model Learning in POMDPs—0
Show:102550
← PrevPage 37 of 46Next →

No leaderboard results yet.