SOTAVerified

Variational Inference

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 151–200 of 2274 papers

TitleStatusHype
Joint Prompt Optimization of Stacked LLMs using Variational InferenceCode1
Deep Stochastic Volatility ModelCode1
Bayesian neural networks via MCMC: a Python-based tutorialCode1
Deep Switching State Space Model (DS^3M) for Nonlinear Time Series Forecasting with Regime SwitchingCode1
Bayesian sparsification for deep neural networks with Bayesian model reductionCode1
DiBS: Differentiable Bayesian Structure LearningCode1
Differentiable DAG SamplingCode1
Differentiable Particle Filtering via Entropy-Regularized Optimal TransportCode1
Graph Representation Learning via Causal Diffusion for Out-of-Distribution RecommendationCode1
Autoencoding Variational Inference For Topic ModelsCode1
Discretely Relaxing Continuous Variables for tractable Variational InferenceCode1
DIVA: A Dirichlet Process Mixtures Based Incremental Deep Clustering Algorithm via Variational Auto-EncoderCode1
Dynamical Variational Autoencoders: A Comprehensive ReviewCode1
EDGE: Explaining Deep Reinforcement Learning PoliciesCode1
Efficient Probabilistic Logic Reasoning with Graph Neural NetworksCode1
Embrace the Gap: VAEs Perform Independent Mechanism AnalysisCode1
Energy-Based Test Sample Adaptation for Domain GeneralizationCode1
Enhance Vision-Language Alignment with NoiseCode1
Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data AugmentationCode1
A practical tutorial on Variational BayesCode1
Bayes-Newton Methods for Approximate Bayesian Inference with PSD GuaranteesCode1
Fast Variational Learning in State-Space Gaussian Process ModelsCode1
FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative ModelsCode1
From Rain Generation to Rain RemovalCode1
Bayesian Image Reconstruction using Deep Generative ModelsCode1
Generative Principal Component Regression via Variational InferenceCode1
Bayesian Deep Learning for Remaining Useful Life Estimation via Stein Variational Gradient DescentCode1
A Probabilistic Framework for Visual Localization in Ambiguous ScenesCode1
Gradient Flows for Sampling: Mean-Field Models, Gaussian Approximations and Affine InvarianceCode1
Gradient-free variational learning with conditional mixture networksCode1
Hierarchical Phrase-based Sequence-to-Sequence LearningCode1
Variational multiple shooting for Bayesian ODEs with Gaussian processesCode1
Infinitely Deep Bayesian Neural Networks with Stochastic Differential EquationsCode1
Interactive Segmentation as Gaussian Process ClassificationCode1
Iterative Amortized Policy OptimizationCode1
eXponential FAmily Dynamical Systems (XFADS): Large-scale nonlinear Gaussian state-space modelingCode1
Learning a Structural Causal Model for Intuition Reasoning in ConversationCode1
Learning by example: fast reliability-aware seismic imaging with normalizing flowsCode1
Learning on Large-scale Text-attributed Graphs via Variational InferenceCode1
Learning Opinion Summarizers by Selecting Informative ReviewsCode1
Auto-Encoding Variational BayesCode1
Bayesian Confidence Calibration for Epistemic Uncertainty ModellingCode1
Manifold GPLVMs for discovering non-Euclidean latent structure in neural dataCode1
Meta-GMVAE: Mixture of Gaussian VAE for Unsupervised Meta-LearningCode1
A Benchmark on Uncertainty Quantification for Deep Learning PrognosticsCode1
Neural Extended Kalman Filters for Learning and Predicting Dynamics of Structural SystemsCode1
Neural Point Process for Learning Spatiotemporal Event DynamicsCode1
BaCaDI: Bayesian Causal Discovery with Unknown InterventionsCode1
Bayesian Model-Agnostic Meta-LearningCode1
BCD Nets: Scalable Variational Approaches for Bayesian Causal DiscoveryCode1
Show:102550
← PrevPage 4 of 46Next →

No leaderboard results yet.