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Variational Inference

Papers

Showing 101150 of 2274 papers

TitleStatusHype
Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi-Supervised SegmentationCode1
Reliable amortized variational inference with physics-based latent distribution correctionCode1
On the Robustness of Bayesian Neural Networks to Adversarial AttacksCode1
Scalable Bayesian Inference for Detection and Deblending in Astronomical ImagesCode1
Tractable Dendritic RNNs for Reconstructing Nonlinear Dynamical SystemsCode1
Variational Deep Image RestorationCode1
Spherical Sliced-WassersteinCode1
Personalized Federated Learning via Variational Bayesian InferenceCode1
Scalable Deep Gaussian Markov Random Fields for General GraphsCode1
Accurate Node Feature Estimation with Structured Variational Graph AutoencoderCode1
Embrace the Gap: VAEs Perform Independent Mechanism AnalysisCode1
BaCaDI: Bayesian Causal Discovery with Unknown InterventionsCode1
Beyond Opinion Mining: Summarizing Opinions of Customer ReviewsCode1
Variational inference via Wasserstein gradient flowsCode1
Amortized Inference for Causal Structure LearningCode1
Variational Sparse Coding with Learned ThresholdingCode1
VICE: Variational Interpretable Concept EmbeddingsCode1
Blind Equalization and Channel Estimation in Coherent Optical Communications Using Variational AutoencodersCode1
Learn from Unpaired Data for Image Restoration: A Variational Bayes ApproachCode1
An Energy-Based Prior for Generative SaliencyCode1
Gaussian Processes for Missing Value ImputationCode1
Diverse Text Generation via Variational Encoder-Decoder Models with Gaussian Process PriorsCode1
Provable concept learning for interpretable predictions using variational autoencodersCode1
A Framework for Improving the Reliability of Black-box Variational InferenceCode1
Differentiable DAG SamplingCode1
Differentiable Causal Discovery Under Latent InterventionsCode1
Learning Neural Set Functions Under the Optimal Subset OracleCode1
Bayesian Structure Learning with Generative Flow NetworksCode1
Variational encoding approach for interpretable assessment of remaining useful life estimationCode1
Continual Repeated Annealed Flow Transport Monte CarloCode1
alpha-Deep Probabilistic Inference (alpha-DPI): efficient uncertainty quantification from exoplanet astrometry to black hole feature extractionCode1
Deep Causal Reasoning for RecommendationsCode1
Neural Point Process for Learning Spatiotemporal Event DynamicsCode1
Fully Context-Aware Image Inpainting with a Learned Semantic PyramidCode1
BCD Nets: Scalable Variational Approaches for Bayesian Causal DiscoveryCode1
EDGE: Explaining Deep Reinforcement Learning PoliciesCode1
Topic Modeling Revisited: A Document Graph-based Neural Network PerspectiveCode1
Spatio-Temporal Variational Gaussian ProcessesCode1
Bayes-Newton Methods for Approximate Bayesian Inference with PSD GuaranteesCode1
Robust Deep Learning from Crowds with Belief PropagationCode1
Discovering Non-monotonic Autoregressive Orderings with Variational InferenceCode1
An Empirical Study: Extensive Deep Temporal Point ProcessCode1
Physics-guided Deep Markov Models for Learning Nonlinear Dynamical Systems with UncertaintyCode1
Bayesian Confidence Calibration for Epistemic Uncertainty ModellingCode1
Learning Opinion Summarizers by Selecting Informative ReviewsCode1
Stochastic Transformer Networks with Linear Competing Units: Application to end-to-end SL TranslationCode1
Pathfinder: Parallel quasi-Newton variational inferenceCode1
P-WAE: Generalized Patch-Wasserstein Autoencoder for Anomaly ScreeningCode1
Tree-Structured Topic Modeling with Nonparametric Neural Variational InferenceCode1
Neural Variational Gradient DescentCode1
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