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Probabilistic Deep Learning

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Showing 1–50 of 79 papers

TitleStatusHype
Short-Term Density Forecasting of Low-Voltage Load using Bernstein-Polynomial Normalizing FlowsCode2
Multivariate Probabilistic Time Series Forecasting via Conditioned Normalizing FlowsCode2
Transductive Decoupled Variational Inference for Few-Shot ClassificationCode1
FiLM-Ensemble: Probabilistic Deep Learning via Feature-wise Linear ModulationCode1
A Novel Deep Learning Model for Hotel Demand and Revenue Prediction amid COVID-19Code1
Probabilistic Deep Learning to Quantify Uncertainty in Air Quality ForecastingCode1
Probabilistic Deep Learning for Electric-Vehicle Energy-Use PredictionCode1
Graph-based Thermal-Inertial SLAM with Probabilistic Neural NetworksCode1
Global canopy height regression and uncertainty estimation from GEDI LIDAR waveforms with deep ensemblesCode1
Estimating and Evaluating Regression Predictive Uncertainty in Deep Object DetectorsCode1
Towards Adversarial Robustness of Bayesian Neural Network through Hierarchical Variational InferenceCode1
A Quantum-Inspired Probabilistic Model for the Inverse Design of Meta-StructuresCode1
Learning Monocular Dense Depth from EventsCode1
Olympus: a benchmarking framework for noisy optimization and experiment planningCode1
BreastScreening: On the Use of Multi-Modality in Medical Imaging DiagnosisCode1
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
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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