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Variational Inference

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TitleStatusHype
Quantum-Aided Meta-Learning for Bayesian Binary Neural Networks via Born Machines—0
Treatment Learning Causal Transformer for Noisy Image Classification—0
A Sparsity-promoting Dictionary Model for Variational Autoencoders—0
Theoretical Connection between Locally Linear Embedding, Factor Analysis, and Probabilistic PCA—0
Approximate Inference for Stochastic Planning in Factored SpacesCode0
Representation Uncertainty in Self-Supervised Learning as Variational Inference—0
Bayesian Low-rank Matrix Completion with Dual-graph Embedding: Prior Analysis and Tuning-free Inference—0
Variational inference of fractional Brownian motion with linear computational complexity—0
Accelerating Stochastic Probabilistic Inference—0
Flexible Amortized Variational Inference in qBOLD MRICode0
Bayesian Spatial Predictive Synthesis—0
The Transitive Information Theory and its Application to Deep Generative Models—0
Variational Inference with Locally Enhanced Bounds for Hierarchical Models—0
Variational methods for simulation-based inferenceCode0
Recursive Monte Carlo and Variational Inference with Auxiliary VariablesCode0
Learning Conditional Variational Autoencoders with Missing Covariates—0
VaiPhy: a Variational Inference Based Algorithm for PhylogenyCode0
Differential equation and probability inspired graph neural networks for latent variable learningCode0
Theoretical Error Analysis of Entropy Approximation for Gaussian Mixtures—0
Generalised Gaussian Process Latent Variable Models (GPLVM) with Stochastic Variational Inference—0
Fast variational Bayes methods for multinomial probit models—0
Variational inference for large Bayesian vector autoregressions—0
Partitioned Variational Inference: A Framework for Probabilistic Federated LearningCode0
Towards Effective and Robust Neural Trojan Defenses via Input Filtering—0
Estimators of Entropy and Information via Inference in Probabilistic Models—0
Loss as the Inconsistency of a Probabilistic Dependency Graph: Choose Your Model, Not Your Loss Function—0
Cyclical Variational Bayes Monte Carlo for Efficient Multi-Modal Posterior Distributions Evaluation—0
Wide Mean-Field Bayesian Neural Networks Ignore the DataCode0
Multiple Importance Sampling ELBO and Deep Ensembles of Variational ApproximationsCode0
Unsupervised Multiple-Object Tracking with a Dynamical Variational Autoencoder—0
Information Theory with Kernel Methods—0
Sampling Approximately Low-Rank Ising Models: MCMC meets Variational Methods—0
Reinforcement Learning in Presence of Discrete Markovian Context Evolution—0
Bernstein Flows for Flexible Posteriors in Variational BayesCode0
Bayesian Nonparametrics for Offline Skill DiscoveryCode0
A Variational Edge Partition Model for Supervised Graph Representation LearningCode0
Unsupervised physics-informed disentanglement of multimodal data for high-throughput scientific discovery—0
Transport Score Climbing: Variational Inference Using Forward KL and Adaptive Neural TransportCode0
Posterior temperature optimized Bayesian models for inverse problems in medical imagingCode0
AdaAnn: Adaptive Annealing Scheduler for Probability Density ApproximationCode0
A heteroencoder architecture for prediction of failure locations in porous metals using variational inference—0
Constrained Structure Learning for Scene Graph Generation—0
Confidence May Cheat: Self-Training on Graph Neural Networks under Distribution ShiftCode0
Uphill Roads to Variational Tightness: Monotonicity and Monte Carlo Objectives—0
Variational Inference for Quantifying Inter-observer Variability in Segmentation of Anatomical Structures—0
Stochastic Autograd—0
Alleviating Cold-start Problem in CTR Prediction with A Variational Embedding Learning Framework—0
Multi-task longitudinal forecasting with missing values on Alzheimer's Disease—0
Quantifying Uncertainty in Deep Learning Approaches to Radio Galaxy ClassificationCode0
Value Functions Factorization with Latent State Information Sharing in Decentralized Multi-Agent Policy GradientsCode0
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