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Probabilistic Deep Learning

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Showing 1–25 of 79 papers

TitleStatusHype
Decadal sink-source shifts of forest aboveground carbon since 1988—0
Forecasting Residential Heating and Electricity Demand with Scalable, High-Resolution, Open-Source Models—0
Unfolding AlphaFold's Bayesian Roots in Probability Kinematics—0
Quantification of Uncertainties in Probabilistic Deep Neural Network by Implementing Boosting of Variational Inference—0
Microcanonical Langevin Ensembles: Advancing the Sampling of Bayesian Neural NetworksCode0
Fast and Reliable Probabilistic Reflectometry Inversion with Prior-Amortized Neural Posterior Estimation—0
Probabilistic Deep Learning and Transfer Learning for Robust Cryptocurrency Price PredictionCode0
Detecting Model Misspecification in Amortized Bayesian Inference with Neural Networks: An Extended Investigation—0
Integrating Physics of the Problem into Data-Driven Methods to Enhance Elastic Full-Waveform Inversion with Uncertainty QuantificationCode0
Interference Motion Removal for Doppler Radar Vital Sign Detection Using Variational Encoder-Decoder Neural Network—0
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
Transductive Decoupled Variational Inference for Few-Shot ClassificationCode1
FiLM-Ensemble: Probabilistic Deep Learning via Feature-wise Linear ModulationCode1
A Simple Approach to Improve Single-Model Deep Uncertainty via Distance-AwarenessCode0
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