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Variational Inference

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TitleStatusHype
Design of Communication Systems using Deep Learning: A Variational Inference PerspectiveCode0
Bayesian Active Meta-Learning for Few Pilot Demodulation and EqualizationCode0
Learning to solve Bayesian inverse problems: An amortized variational inference approach using Gaussian and Flow guidesCode0
Dual Gaussian-based Variational Subspace Disentanglement for Visible-Infrared Person Re-IdentificationCode0
Dep-L_0: Improving L_0-based Network Sparsification via Dependency ModelingCode0
Gradient-Based Quantification of Epistemic Uncertainty for Deep Object DetectorsCode0
GFlowNets and variational inferenceCode0
Dynamical Hyperspectral Unmixing with Variational Recurrent Neural NetworksCode0
A Factor Graph Approach to Automated Design of Bayesian Signal Processing AlgorithmsCode0
Adaptive Robust Learning using Latent Bernoulli VariablesCode0
Bayesian Semi-supervised Learning with Graph Gaussian ProcessesCode0
Dynamic Word EmbeddingsCode0
GeoPhy: Differentiable Phylogenetic Inference via Geometric Gradients of Tree TopologiesCode0
Globally Convergent Variational InferenceCode0
Deep Variational Implicit ProcessesCode0
Easy Variational Inference for Categorical Models via an Independent Binary ApproximationCode0
Deep Variational Bayes Filters: Unsupervised Learning of State Space Models from Raw DataCode0
Generative Topic Embedding: a Continuous Representation of Documents (Extended Version with Proofs)Code0
Matching Visual Features to Hierarchical Semantic Topics for Image Paragraph CaptioningCode0
Effective Estimation of Deep Generative Language ModelsCode0
Generating Neural Networks with Neural NetworksCode0
A General Method for Amortizing Variational FilteringCode0
AdaAnn: Adaptive Annealing Scheduler for Probability Density ApproximationCode0
Generalized Variational Inference in Function Spaces: Gaussian Measures meet Bayesian Deep LearningCode0
Generative Adversarial Networks with Decoder-Encoder Output NoiseCode0
Fisher-Schultz Lecture: Generic Machine Learning Inference on Heterogenous Treatment Effects in Randomized Experiments, with an Application to Immunization in IndiaCode0
Modeling and inference of spatio-temporal protein dynamics across brain networksCode0
Efficient Gradient-Free Variational Inference using Policy SearchCode0
Efficient Inference in Multi-task Cox Process ModelsCode0
Approximation Based Variance Reduction for Reparameterization GradientsCode0
Deep Recurrent Generative Decoder for Abstractive Text SummarizationCode0
Efficient Mixture Learning in Black-Box Variational InferenceCode0
Deep Recurrent Gaussian Process with Variational Sparse Spectrum ApproximationCode0
Efficient Modeling of Latent Information in Supervised Learning using Gaussian ProcessesCode0
Benchmarking and optimizing organism wide single-cell RNA alignment methodsCode0
Efficient Nonparametric Tensor Decomposition for Binary and Count DataCode0
Function Space Particle Optimization for Bayesian Neural NetworksCode0
Efficient Optimization of Loops and Limits with Randomized Telescoping SumsCode0
Uncertainty Estimations by Softplus normalization in Bayesian Convolutional Neural Networks with Variational InferenceCode0
Empirical Study of the Benefits of Overparameterization in Learning Latent Variable ModelsCode0
Narrative Text Generation with a Latent Discrete PlanCode0
NASH: Toward End-to-End Neural Architecture for Generative Semantic HashingCode0
Functional Gradient Flows for Constrained SamplingCode0
Neural Dynamic Focused Topic ModelCode0
PhiNet v2: A Mask-Free Brain-Inspired Vision Foundation Model from VideoCode0
Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational InferenceCode0
Fully Bayesian VIB-DeepSSMCode0
Functional Variational Bayesian Neural NetworksCode0
Efficient Variational Inference for Sparse Deep Learning with Theoretical GuaranteeCode0
Gaussian Process-Gated Hierarchical Mixtures of ExpertsCode0
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