SOTAVerified

Variational Inference

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 901–950 of 2274 papers

TitleStatusHype
A Divergence Bound for Hybrids of MCMC and Variational Inference and an Application to Langevin Dynamics and SGVI—0
Cooperative Graphical Models—0
Convolutional Normalizing Flows for Deep Gaussian Processes—0
Autoregressive Speech Synthesis without Vector Quantization—0
Convergence rate of random scan Coordinate Ascent Variational Inference under log-concavity—0
Convergence of Statistical Estimators via Mutual Information Bounds—0
Automorphism Groups of Graphical Models and Lifted Variational Inference—0
Convergence of coordinate ascent variational inference for log-concave measures via optimal transport—0
Automatic variational inference with cascading flows—0
Amortized Variational Inference for Deep Gaussian Processes—0
A Continuous-time Stochastic Gradient Descent Method for Continuous Data—0
A Bayesian Tensor Factorization Model via Variational Inference for Link Prediction—0
Control as Hybrid Inference—0
Contrastive Graph Poisson Networks: Semi-Supervised Learning with Extremely Limited Labels—0
Automatic Variational Inference in Stan—0
Continuous-time edge modelling using non-parametric point processes—0
Automatic Variational ABC—0
Importance Weighting and Variational Inference—0
Continuous Time Dynamic Topic Models—0
Importance Sampled Stochastic Optimization for Variational Inference—0
Out-of-distribution detection for regression tasks: parameter versus predictor entropy—0
Automatic Relevance Determination For Deep Generative Models—0
Amortized Posterior Sampling with Diffusion Prior Distillation—0
iLQR-VAE : control-based learning of input-driven dynamics with applications to neural data—0
Identifying signal and noise structure in neural population activity with Gaussian process factor models—0
Continual Learning with Adaptive Weights (CLAW)—0
Identifiable Feature Learning for Spatial Data with Nonlinear ICA—0
Variational Hyper-Encoding Networks—0
Automatic Differentiation Variational Inference with Mixtures—0
Hyperspectral Unmixing Under Endmember Variability: A Variational Inference Framework—0
Gaussian Variational State Estimation for Nonlinear State-Space Models—0
Hybrid Variational Autoencoder for Time Series Forecasting—0
Hybrid Bayesian Neural Networks with Functional Probabilistic Layers—0
Constraint-Conditioned Policy Optimization for Versatile Safe Reinforcement Learning—0
How to deal with missing data in supervised deep learning?—0
How particular is the physics of the free energy principle?—0
Homeostatic plasticity in Bayesian spiking networks as Expectation Maximization with posterior constraints—0
High Mutual Information in Representation Learning with Symmetric Variational Inference—0
Constraining the Dynamics of Deep Probabilistic Models—0
Idiographic Personality Gaussian Process for Psychological Assessment—0
Amortized Inference of Variational Bounds for Learning Noisy-OR—0
A Differentiable Partially Observable Generalized Linear Model with Forward-Backward Message Passing—0
Spike-and-slab shrinkage priors for structurally sparse Bayesian neural networks—0
Higher-Order Inference for Multi-Class Log-Supermodular Models—0
Constrained Structure Learning for Scene Graph Generation—0
Importance Weighted Structure Learning for Scene Graph Generation—0
HierVST: Hierarchical Adaptive Zero-shot Voice Style Transfer—0
Improved Bayesian Logistic Supervised Topic Models with Data Augmentation—0
Constrained Stein Variational Gradient Descent for Robot Perception, Planning, and Identification—0
Automated Variational Inference in Probabilistic Programming—0
Show:102550
← PrevPage 19 of 46Next →

No leaderboard results yet.