SOTAVerified

Variational Inference

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1701–1750 of 2274 papers

TitleStatusHype
Towards Autoencoding Variational Inference for Aspect-based Opinion SummaryCode0
Meta-Amortized Variational Inference and LearningCode0
Variational Bayesian Decision-making for Continuous UtilitiesCode0
Understanding MCMC Dynamics as Flows on the Wasserstein SpaceCode0
Multilevel Monte Carlo Variational Inference—0
Probabilistic Discriminative Learning with Layered Graphical ModelsCode0
Enhanced Variational Inference with Dyadic TransformationCode0
Probability Functional Descent: A Unifying Perspective on GANs, Variational Inference, and Reinforcement Learning—0
Metric Gaussian Variational InferenceCode0
To Relieve Your Headache of Training an MRF, Take AdVIL—0
Provable Smoothness Guarantees for Black-Box Variational Inference—0
Modeling and inference of spatio-temporal protein dynamics across brain networksCode0
Quasi-potential as an implicit regularizer for the loss function in the stochastic gradient descent—0
Mixed Variational InferenceCode0
Conditional deep surrogate models for stochastic, high-dimensional, and multi-fidelity systemsCode0
Large-Scale Joint Topic, Sentiment & User Preference Analysis for Online Reviews—0
Estimating Buildings' Parameters over Time Including Prior KnowledgeCode0
A Comprehensive guide to Bayesian Convolutional Neural Network with Variational InferenceCode0
Uncertainty-Based Out-of-Distribution Detection in Deep Reinforcement Learning—0
Variational bridge constructs for approximate Gaussian process regression—0
A Full Probabilistic Model for Yes/No Type Crowdsourcing in Multi-Class ClassificationCode0
Variational Self-attention Model for Sentence Representation—0
Scalable GAM using sparse variational Gaussian processes—0
Disentangling Latent Space for VAE by Label Relevant/Irrelevant DimensionsCode0
Learning a Probabilistic Model for Diffeomorphic Registration—0
A Factorial Mixture Prior for Compositional Deep Generative Models—0
A Tutorial on Deep Latent Variable Models of Natural Language—0
Non-Factorised Variational Inference in Dynamical Systems—0
An Introduction to Spiking Neural Networks: Probabilistic Models, Learning Rules, and Applications—0
Closed-form Inference and Prediction in Gaussian Process State-Space Models—0
Physics-informed deep generative models—0
Efficient transfer learning and online adaptation with latent variable models for continuous control—0
Adaptive and Calibrated Ensemble Learning with Dependent Tail-free Process—0
Knowing what you know in brain segmentation using Bayesian deep neural networksCode0
Coupled Variational Bayes via Optimization EmbeddingCode0
Provable Variational Inference for Constrained Log-Submodular Models—0
Gamma-Poisson Dynamic Matrix Factorization Embedded with Metadata Influence—0
Distributed Multitask Reinforcement Learning with Quadratic Convergence—0
Discretely Relaxing Continuous Variables for tractable Variational InferenceCode0
Adaptive Path-Integral Autoencoders: Representation Learning and Planning for Dynamical Systems—0
Point process latent variable models of larval zebrafish behavior—0
Uncertainty aware audiovisual activity recognition using deep Bayesian variational inference—0
Partitioned Variational Inference: A unified framework encompassing federated and continual learning—0
Deep Bayesian Self-TrainingCode0
Streamlining Variational Inference for Constraint Satisfaction ProblemsCode0
Joint Mapping and Calibration via Differentiable Sensor Fusion—0
Black-Box Autoregressive Density Estimation for State-Space Models—0
Mixed Likelihood Gaussian Process Latent Variable ModelCode0
A Variational Dirichlet Framework for Out-of-Distribution Detection—0
The Theory and Algorithm of Ergodic Inference—0
Show:102550
← PrevPage 35 of 46Next →

No leaderboard results yet.