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| Unsupervised physics-informed disentanglement of multimodal data for high-throughput scientific discovery | Feb 7, 2022 | DecoderDisentanglement | —Unverified | 0 | 0 |
| Unsupervised Variational Acoustic Clustering | Mar 24, 2025 | ClusteringVariational Inference | —Unverified | 0 | 0 |
| Uphill Roads to Variational Tightness: Monotonicity and Monte Carlo Objectives | Jan 26, 2022 | Variational Inference | —Unverified | 0 | 0 |
| UP-dROM : Uncertainty-Aware and Parametrised dynamic Reduced-Order Model, application to unsteady flows | Mar 29, 2025 | Uncertainty QuantificationVariational Inference | —Unverified | 0 | 0 |
| Use of Variational Inference in Music Emotion Recognition | Jun 27, 2021 | Emotion RecognitionMusic Emotion Recognition | —Unverified | 0 | 0 |
| Using Large Ensembles of Control Variates for Variational Inference | Oct 30, 2018 | Stochastic OptimizationVariational Inference | —Unverified | 0 | 0 |
| Using Social Dynamics to Make Individual Predictions: Variational Inference with a Stochastic Kinetic Model | Nov 7, 2016 | Variational Inference | —Unverified | 0 | 0 |
| Using Social Network Information in Bayesian Truth Discovery | Jun 8, 2018 | Variational Inference | —Unverified | 0 | 0 |
| Using Soft Labels to Model Uncertainty in Medical Image Segmentation | Sep 26, 2021 | Image SegmentationMedical Image Segmentation | —Unverified | 0 | 0 |
| U-Statistics for Importance-Weighted Variational Inference | Feb 27, 2023 | Computational EfficiencyVariational Inference | —Unverified | 0 | 0 |
| Utilizing Graph Generation for Enhanced Domain Adaptive Object Detection | Apr 23, 2024 | Domain AdaptationGraph Generation | —Unverified | 0 | 0 |
| Vairiational Stochastic Games | Mar 8, 2025 | Reinforcement Learning (RL)Variational Inference | —Unverified | 0 | 0 |
| VarFA: A Variational Factor Analysis Framework For Efficient Bayesian Learning Analytics | May 27, 2020 | Bayesian InferenceVariational Inference | —Unverified | 0 | 0 |
| Variance Reduction and Quasi-Newton for Particle-Based Variational Inference | Jan 1, 2020 | Bayesian InferenceRiemannian optimization | —Unverified | 0 | 0 |
| Variance Reduction for Stochastic Gradient Optimization | Dec 1, 2013 | Variational Inference | —Unverified | 0 | 0 |
| Variance reduction properties of the reparameterization trick | Sep 27, 2018 | Variational Inference | —Unverified | 0 | 0 |
| Variational Adaptive-Newton Method for Explorative Learning | Nov 15, 2017 | Active Learningreinforcement-learning | —Unverified | 0 | 0 |
| Variational Adaptive Noise and Dropout towards Stable Recurrent Neural Networks | Jun 2, 2025 | Imitation LearningLearning Theory | —Unverified | 0 | 0 |
| Variational Autoencoders for Efficient Simulation-Based Inference | Nov 21, 2024 | Computational EfficiencyVariational Inference | —Unverified | 0 | 0 |
| Variational autoencoders trained with q-deformed lower bounds | Mar 27, 2019 | Variational Inference | —Unverified | 0 | 0 |
| Variational Bayes: A report on approaches and applications | May 26, 2019 | Bayesian InferenceContinual Learning | —Unverified | 0 | 0 |
| Variational Bayes Deep Operator Network: A data-driven Bayesian solver for parametric differential equations | Jun 12, 2022 | Bayesian InferenceOperator learning | —Unverified | 0 | 0 |
| Variational Bayes for high-dimensional linear regression with sparse priors | Apr 15, 2019 | Model Selectionregression | —Unverified | 0 | 0 |
| Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer | Jan 26, 2025 | Acoustic Scene ClassificationScene Classification | —Unverified | 0 | 0 |
| Variational Bayesian Inference for Audio-Visual Tracking of Multiple Speakers | Sep 28, 2018 | Bayesian InferenceVariational Inference | —Unverified | 0 | 0 |
| Variational Bayesian Inference of Line Spectra | Apr 13, 2016 | Bayesian Inferenceparameter estimation | —Unverified | 0 | 0 |
| Variational Bayesian Inference with Stochastic Search | Jun 27, 2012 | Bayesian InferenceStochastic Optimization | —Unverified | 0 | 0 |
| Variational Bayesian Phylogenetic Inference | May 1, 2019 | Variational Inference | —Unverified | 0 | 0 |
| Variational Bayesian Unlearning | Oct 24, 2020 | Variational Inference | —Unverified | 0 | 0 |
| Variational Best-of-N Alignment | Jul 8, 2024 | Language ModelingLanguage Modelling | —Unverified | 0 | 0 |
| Variational Boosted Soft Trees | Feb 21, 2023 | Decision MakingOut-of-Distribution Detection | —Unverified | 0 | 0 |
| Variational bridge constructs for approximate Gaussian process regression | Jan 7, 2019 | regressionVariational Inference | —Unverified | 0 | 0 |
| Black-Box Inference for Non-Linear Latent Force Models | Jun 21, 2019 | Gaussian ProcessesVariational Inference | —Unverified | 0 | 0 |
| Variational Calibration of Computer Models | Oct 29, 2018 | Gaussian ProcessesVariational Inference | —Unverified | 0 | 0 |
| Variational Causal Dynamics: Discovering Modular World Models from Interventions | Jun 22, 2022 | Causal DiscoveryVariational Inference | —Unverified | 0 | 0 |
| Variational Component Decoder for Source Extraction from Nonlinear Mixture | Sep 29, 2021 | blind source separationDecoder | —Unverified | 0 | 0 |
| Variational Continual Bayesian Meta-Learning | Dec 1, 2021 | Meta-LearningTransfer Learning | —Unverified | 0 | 0 |
| Variational Continual Test-Time Adaptation | Feb 13, 2024 | Test-time AdaptationVariational Inference | —Unverified | 0 | 0 |
| Variational DAG Estimation via State Augmentation With Stochastic Permutations | Feb 4, 2024 | Causal DiscoveryUncertainty Quantification | —Unverified | 0 | 0 |
| Variational Deep Learning via Implicit Regularization | May 26, 2025 | Deep LearningInductive Bias | —Unverified | 0 | 0 |
| Variational Determinant Estimation with Spherical Normalizing Flows | Dec 24, 2020 | Density EstimationVariational Inference | —Unverified | 0 | 0 |
| Variational Disentanglement for Domain Generalization | Sep 13, 2021 | DisentanglementDomain Generalization | —Unverified | 0 | 0 |
| Variational Distillation of Diffusion Policies into Mixture of Experts | Jun 18, 2024 | DenoisingMixture-of-Experts | —Unverified | 0 | 0 |
| Variational Distribution Learning for Unsupervised Text-to-Image Generation | Mar 28, 2023 | Image CaptioningImage Generation | —Unverified | 0 | 0 |
| Variational Domain Adaptation | May 1, 2019 | Bayesian InferenceDomain Adaptation | —Unverified | 0 | 0 |
| Variational Dynamic for Self-Supervised Exploration in Deep Reinforcement Learning | Oct 17, 2020 | Deep Reinforcement LearningEfficient Exploration | —Unverified | 0 | 0 |
| Variational Elliptical Processes | Nov 21, 2023 | Gaussian ProcessesVariational Inference | —Unverified | 0 | 0 |
| Variational Entropy Search for Adjusting Expected Improvement | Feb 17, 2024 | Bayesian OptimizationVariational Inference | —Unverified | 0 | 0 |
| Variational Federated Multi-Task Learning | Jun 14, 2019 | Federated LearningMulti-Task Learning | —Unverified | 0 | 0 |