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Variational Inference

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TitleStatusHype
Robust Variational Contrastive Learning for Partially View-unaligned ClusteringCode1
Likelihood approximations via Gaussian approximate inference—0
Noise-Aware Differentially Private Variational Inference—0
Brain-like variational inference—0
Evolving Voices Based on Temporal Poisson Factorisation—0
Semi-Implicit Functional Gradient Flow for Efficient Sampling—0
Scalable Random Feature Latent Variable ModelsCode1
A Trust-Region Method for Graphical Stein Variational Inference—0
Incorporating Group Prior into Variational Inference for Tail-User Behavior Modeling in CTR Prediction—0
Predictive variational inference: Learn the predictively optimal posterior distribution—0
Annealed Stein Variational Gradient Descent for Improved Uncertainty Estimation in Full-Waveform InversionCode0
Preference Diffusion for RecommendationCode1
A theoretical perspective on mode collapse in variational inference—0
Counterfactual Generative Modeling with Variational Causal InferenceCode1
Learning with Importance Weighted Variational Inference: Asymptotics for Gradient Estimators of the VR-IWAE Bound—0
Variational Inference in Location-Scale Families: Exact Recovery of the Mean and Correlation MatrixCode0
Optimal lower bounds for logistic log-likelihoods—0
Stein Variational Evolution Strategies—0
On Divergence Measures for Training GFlowNets—0
Deterministic Fokker-Planck Transport -- With Applications to Sampling, Variational Inference, Kernel Mean Embeddings & Sequential Monte Carlo—0
Protect Before Generate: Error Correcting Codes within Discrete Deep Generative Models—0
Efficient Reinforcement Learning with Large Language Model Priors—0
Amortized Control of Continuous State Space Feynman-Kac Model for Irregular Time SeriesCode1
Bayesian Estimation and Tuning-Free Rank Detection for Probability Mass Function Tensors—0
Pathwise Gradient Variance Reduction with Control Variates in Variational Inference—0
Score-Based Variational Inference for Inverse Problems—0
Neuro-Symbolic Entity Alignment via Variational Inference—0
Optimization Proxies using Limited Labeled Data and Training Time -- A Semi-Supervised Bayesian Neural Network ApproachCode0
Variational Bayes Gaussian SplattingCode1
Stochastic variance-reduced Gaussian variational inference on the Bures-Wasserstein manifold—0
Deep Generative Modeling for Identification of Noisy, Non-Stationary Dynamical SystemsCode0
Bayes-CATSI: A variational Bayesian deep learning framework for medical time series data imputationCode0
Variational Source-Channel Coding for Semantic Communication—0
Functional Stochastic Gradient MCMC for Bayesian Neural Networks—0
VARADE: a Variational-based AutoRegressive model for Anomaly Detection on the EdgeCode0
Amortized Variational Inference for Deep Gaussian Processes—0
Latent mixed-effect models for high-dimensional longitudinal data—0
Portfolio Stress Testing and Value at Risk (VaR) Incorporating Current Market Conditions—0
A Primer on Variational Inference for Physics-Informed Deep Generative Modelling—0
Variational Search DistributionsCode0
Half-VAE: An Encoder-Free VAE to Bypass Explicit Inverse Mapping—0
Sample what you cant compress—0
Generative Principal Component Regression via Variational InferenceCode1
Gradient-free variational learning with conditional mixture networksCode1
Correntropy-Based Improper Likelihood Model for Robust Electrophysiological Source Imaging—0
A Joint Learning Model with Variational Interaction for Multilingual Program TranslationCode0
Decentralised Variational Inference Frameworks for Multi-object Tracking on Sensor Networks: Additional Notes—0
Attention Is Not What You Need: Revisiting Multi-Instance Learning for Whole Slide Image Classification—0
Unsupervised Variational Translator for Bridging Image Restoration and High-Level Vision TasksCode1
Uncertainty Quantification in Alzheimer's Disease Progression Modeling—0
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