SOTAVerified

Variational Inference

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 901–950 of 2274 papers

TitleStatusHype
Hamiltonian Policy Optimization—0
Hamiltonian Policy Optimization in Reinforcement Learning—0
Bayesian Matrix Decomposition and Applications—0
Composing Normalizing Flows for Inverse Problems—0
Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification—0
Multi-Source Neural Variational Inference—0
Amortized Context Vector Inference for Sequence-to-Sequence Networks—0
Refining Latent Representations: A Generative SSL Approach for Heterogeneous Graph Learning—0
IntrinsicTimescales.jl: A Julia package to estimate intrinsic (neural) timescales (INTs) from time-series data—0
Hierarchical Bayes Autoencoders—0
Investigating maximum likelihood based training of infinite mixtures for uncertainty quantification—0
Isometric Gaussian Process Latent Variable Model for Dissimilarity Data—0
Confidence Estimation via Sequential Likelihood Mixing—0
Hierarchical mixtures of Unigram models for short text clustering: The role of Beta-Liouville priors—0
Hierarchical models for neural population dynamics in the presence of non-stationarity—0
Bayesian Low-rank Matrix Completion with Dual-graph Embedding: Prior Analysis and Tuning-free Inference—0
Connection Discovery using Shared Images by Gaussian Relational Topic Model—0
Hierarchical Sparse Bayesian Multitask Model with Scalable Inference for Microbiome Analysis—0
Differentially Private Continual Learning—0
Automated Variational Inference for Gaussian Process Models—0
Constrained Bayesian Inference for Low Rank Multitask Learning—0
Bayesian Learning to Optimize: Quantifying the Optimizer Uncertainty—0
HierVST: Hierarchical Adaptive Zero-shot Voice Style Transfer—0
Constrained Stein Variational Gradient Descent for Robot Perception, Planning, and Identification—0
Constrained Structure Learning for Scene Graph Generation—0
Higher-Order Inference for Multi-Class Log-Supermodular Models—0
A Non-negative VAE:the Generalized Gamma Belief Network—0
Homeostatic plasticity in Bayesian spiking networks as Expectation Maximization with posterior constraints—0
Interpretable Dynamics Models for Data-Efficient Reinforcement Learning—0
How to deal with missing data in supervised deep learning?—0
Bayesian Learning of LF-MMI Trained Time Delay Neural Networks for Speech Recognition—0
Hybrid Variational Autoencoder for Time Series Forecasting—0
Gaussian Variational State Estimation for Nonlinear State-Space Models—0
Hyperspectral Unmixing Under Endmember Variability: A Variational Inference Framework—0
Variational Hyper-Encoding Networks—0
Anomaly Detection on Graph Time Series—0
Identifiable Feature Learning for Spatial Data with Nonlinear ICA—0
Distance-Preserving Spatial Representations in Genomic Data—0
Differentiable Learning of Submodular Models—0
Bayesian Learning for Neural Networks: an algorithmic survey—0
iLQR-VAE : control-based learning of input-driven dynamics with applications to neural data—0
Continual Learning with Adaptive Weights (CLAW)—0
Affine Independent Variational Inference—0
Interpretable Operational Risk Classification with Semi-Supervised Variational Autoencoder—0
Bayesian Learning for Domain-Invariant Speaker Verification and Anti-Spoofing—0
Importance Weighted Structure Learning for Scene Graph Generation—0
Variational Policy Propagation for Multi-agent Reinforcement Learning—0
Improved Bayesian Logistic Supervised Topic Models with Data Augmentation—0
Continuous Time Dynamic Topic Models—0
An Introduction to Variational Inference—0
Show:102550
← PrevPage 19 of 46Next →

No leaderboard results yet.