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Probabilistic Deep Learning

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Showing 26–50 of 79 papers

TitleStatusHype
Informed Spectral Normalized Gaussian Processes for Trajectory Prediction—0
Forecasting VIX using Bayesian Deep Learning—0
Stochastic Latent Transformer: Efficient Modelling of Stochastically Forced Zonal JetsCode0
Deep Gaussian Mixture Ensembles—0
Variational Imbalanced Regression: Fair Uncertainty Quantification via Probabilistic SmoothingCode0
Kernel Density Matrices for Probabilistic Deep LearningCode0
Uncertainty Voting Ensemble for Imbalanced Deep RegressionCode0
On Uncertainty Calibration and Selective Generation in Probabilistic Neural Summarization: A Benchmark Study—0
Comparison of Probabilistic Deep Learning Methods for Autism Detection—0
Benchmarking Probabilistic Deep Learning Methods for License Plate RecognitionCode0
Workload Forecasting of a Logistic Node Using Bayesian Neural Networks—0
A Self-Supervised Approach to Reconstruction in Sparse X-Ray Computed TomographyCode0
A Simple Approach to Improve Single-Model Deep Uncertainty via Distance-AwarenessCode0
A high-resolution canopy height model of the Earth—0
Detecting Model Misspecification in Amortized Bayesian Inference with Neural NetworksCode0
Probabilistic Deep Learning with Generalised Variational Inference—0
Probabilistic Deep Learning for Real-Time Large Deformation Simulations—0
Causal Discovery from Conditionally Stationary Time Series—0
Probabilistic Metamodels for an Efficient Characterization of Complex Driving ScenariosCode0
Restricted Boltzmann Machine and Deep Belief Network: Tutorial and Survey—0
Hybrid Bayesian Neural Networks with Functional Probabilistic Layers—0
Probabilistic partition of unity networks: clustering based deep approximation—0
Bayesian Neural Networks: Essentials—0
Probabilistic Deep Learning with Probabilistic Neural Networks and Deep Probabilistic Models—0
Stochastic-Shield: A Probabilistic Approach Towards Training-Free Adversarial Defense in Quantized CNNs—0
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