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Variational Inference

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TitleStatusHype
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
WISE: full-Waveform variational Inference via Subsurface Extensions—0
Worst-case Optimal Submodular Extensions for Marginal Estimation—0
You Only Accept Samples Once: Fast, Self-Correcting Stochastic Variational Inference—0
Distribution Matching in Variational Inference—0
Diversifying Reply Suggestions using a Matching-Conditional Variational Autoencoder—0
Diversity and Consistency: Exploring Visual Question-Answer Pair Generation—0
Diversity-Aware Sign Language Production through a Pose Encoding Variational Autoencoder—0
Diversity-Promoting Bayesian Learning of Latent Variable Models—0
Divide and Couple: Using Monte Carlo Variational Objectives for Posterior Approximation—0
D-MFVI: Distributed Mean Field Variational Inference using Bregman ADMM—0
Domain-Invariant Feature Alignment Using Variational Inference For Partial Domain Adaptation—0
Don't Blame the ELBO! A Linear VAE Perspective on Posterior Collapse—0
Doubly Reparameterized Importance Weighted Structure Learning for Scene Graph Generation—0
Doubly Semi-Implicit Variational Inference—0
Doubly Stochastic Variational Inference for Neural Processes with Hierarchical Latent Variables—0
DPGIIL: Dirichlet Process-Deep Generative Model-Integrated Incremental Learning for Clustering in Transmissibility-based Online Structural Anomaly Detection—0
Differentially private stochastic expectation propagation (DP-SEP)—0
DPVI: A Dynamic-Weight Particle-Based Variational Inference Framework—0
DPVIm: Differentially Private Variational Inference Improved—0
DropMax: Adaptive Stochastic Softmax—0
Dropout Sampling for Robust Object Detection in Open-Set Conditions—0
Dual Adversarial Auto-Encoders for Clustering—0
Dual Adversarial Variational Embedding for Robust Recommendation—0
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