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Variational Inference

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TitleStatusHype
Variational Nonlinear Kalman Filtering with Unknown Process Noise Covariance—0
Variational System Identification for Nonlinear State-Space Models—0
Variational Option Discovery Algorithms—0
Variational Orthogonal Features—0
Variational Particle Approximations—0
Variational Pedestrian Detection—0
Variational Policy for Guiding Point Processes—0
Variational Pseudo Marginal Methods for Jet Reconstruction in Particle Physics—0
Variational Refinement for Importance Sampling Using the Forward Kullback-Leibler Divergence—0
Variational Refinement for Importance SamplingUsing the Forward Kullback-Leibler Divergence—0
Variational Rejection Particle Filtering—0
Variational Rejection Sampling—0
Variational Schrödinger Diffusion Models—0
Variational Self-attention Model for Sentence Representation—0
Variational Self-Supervised Learning—0
Variational Source-Channel Coding for Semantic Communication—0
Variational State-Space Models for Localisation and Dense 3D Mapping in 6 DoF—0
Variational Student: Learning Compact and Sparser Networks in Knowledge Distillation Framework—0
Variational Supervised Contrastive Learning—0
Variational Tempering—0
Variational Temporal Deep Generative Model for Radar HRRP Target Recognition—0
Variational Topic Inference for Chest X-Ray Report Generation—0
Variational Feature Disentangling for Fine-Grained Few-Shot Classification—0
Variational Transport: A Convergent Particle-BasedAlgorithm for Distributional Optimization—0
VASE: Variational Assorted Surprise Exploration for Reinforcement Learning—0
Vector Copula Variational Inference and Dependent Block Posterior Approximations—0
Vector-valued Gaussian Processes on Riemannian Manifolds via Gauge Independent Projected Kernels—0
Venture: a higher-order probabilistic programming platform with programmable inference—0
VHEGAN: Variational Hetero-Encoder Randomized GAN for Zero-Shot Learning—0
VHU-Net: Variational Hadamard U-Net for Body MRI Bias Field Correction—0
VIBNN: Hardware Acceleration of Bayesian Neural Networks—0
Video Generation with Learned Action Prior—0
VI-DGP: A variational inference method with deep generative prior for solving high-dimensional inverse problems—0
VigDet: Knowledge Informed Neural Temporal Point Process for Coordination Detection on Social Media—0
VIGraph: Generative Self-supervised Learning for Class-Imbalanced Node Classification—0
VINNAS: Variational Inference-based Neural Network Architecture Search—0
VIPaint: Image Inpainting with Pre-Trained Diffusion Models via Variational Inference—0
VISinger: Variational Inference with Adversarial Learning for End-to-End Singing Voice Synthesis—0
Visual Deprojection: Probabilistic Recovery of Collapsed Dimensions—0
Visualizing Information Bottleneck through Variational Inference—0
VLUCI: Variational Learning of Unobserved Confounders for Counterfactual Inference—0
Vprop: Variational Inference using RMSprop—0
Walsh-Hadamard Variational Inference for Bayesian Deep Learning—0
Wasserstein Gradient Flow over Variational Parameter Space for Variational Inference—0
Wasserstein variational gradient descent: From semi-discrete optimal transport to ensemble variational inference—0
Wasserstein Variational Inference—0
WeLa-VAE: Learning Alternative Disentangled Representations Using Weak Labels—0
Where Do Human Heuristics Come From?—0
Why ADAGRAD Fails for Online Topic Modeling—0
Wide Mean-Field Variational Bayesian Neural Networks Ignore the Data—0
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