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Probabilistic Deep Learning

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Showing 1–50 of 79 papers

TitleStatusHype
Multivariate Probabilistic Time Series Forecasting via Conditioned Normalizing FlowsCode2
Short-Term Density Forecasting of Low-Voltage Load using Bernstein-Polynomial Normalizing FlowsCode2
Probabilistic Deep Learning to Quantify Uncertainty in Air Quality ForecastingCode1
Learning Monocular Dense Depth from EventsCode1
Graph-based Thermal-Inertial SLAM with Probabilistic Neural NetworksCode1
BreastScreening: On the Use of Multi-Modality in Medical Imaging DiagnosisCode1
Global canopy height regression and uncertainty estimation from GEDI LIDAR waveforms with deep ensemblesCode1
Probabilistic Deep Learning for Electric-Vehicle Energy-Use PredictionCode1
Estimating and Evaluating Regression Predictive Uncertainty in Deep Object DetectorsCode1
Transductive Decoupled Variational Inference for Few-Shot ClassificationCode1
Towards Adversarial Robustness of Bayesian Neural Network through Hierarchical Variational InferenceCode1
FiLM-Ensemble: Probabilistic Deep Learning via Feature-wise Linear ModulationCode1
Olympus: a benchmarking framework for noisy optimization and experiment planningCode1
A Novel Deep Learning Model for Hotel Demand and Revenue Prediction amid COVID-19Code1
A Quantum-Inspired Probabilistic Model for the Inverse Design of Meta-StructuresCode1
Probabilistic Deep Learning for Real-Time Large Deformation Simulations—0
Forecasting Residential Heating and Electricity Demand with Scalable, High-Resolution, Open-Source Models—0
Forecasting VIX using Bayesian Deep Learning—0
Workload Forecasting of a Logistic Node Using Bayesian Neural Networks—0
Advancing from Predictive Maintenance to Intelligent Maintenance with AI and IIoT—0
A high-resolution canopy height model of the Earth—0
A probabilistic deep learning approach to automate the interpretation of multi-phase diffraction spectra—0
A VAE-Bayesian Deep Learning Scheme for Solar Generation Forecasting based on Dimensionality Reduction—0
Bayesian Neural Networks: Essentials—0
Causal Discovery from Conditionally Stationary Time Series—0
Comparison of Probabilistic Deep Learning Methods for Autism Detection—0
Confident Head Circumference Measurement from Ultrasound with Real-time Feedback for Sonographers—0
Decadal sink-source shifts of forest aboveground carbon since 1988—0
Deep Bag-of-Sub-Emotions for Depression Detection in Social Media—0
Deep Gaussian Mixture Ensembles—0
Detecting Model Misspecification in Amortized Bayesian Inference with Neural Networks: An Extended Investigation—0
Energy Forecasting in Smart Grid Systems: A Review of the State-of-the-art Techniques—0
Fast and Reliable Probabilistic Reflectometry Inversion with Prior-Amortized Neural Posterior Estimation—0
On Uncertainty Calibration and Selective Generation in Probabilistic Neural Summarization: A Benchmark Study—0
Probabilistic 3D surface reconstruction from sparse MRI information—0
Probabilistic Deep Learning for Instance Segmentation—0
Probabilistic Deep Learning using Random Sum-Product Networks—0
Probabilistic Deep Learning with Probabilistic Neural Networks and Deep Probabilistic Models—0
Probabilistic Deep Learning with Generalised Variational Inference—0
Probabilistic partition of unity networks: clustering based deep approximation—0
Probabilistic Radiomics: Ambiguous Diagnosis with Controllable Shape Analysis—0
Prostate Tissue Grading with Deep Quantum Measurement Ordinal Regression—0
Quantification of Uncertainties in Probabilistic Deep Neural Network by Implementing Boosting of Variational Inference—0
Residue Density Segmentation for Monitoring and Optimizing Tillage Practices—0
Restricted Boltzmann Machine and Deep Belief Network: Tutorial and Survey—0
Stochastic-Shield: A Probabilistic Approach Towards Training-Free Adversarial Defense in Quantized CNNs—0
U-CAM: Visual Explanation using Uncertainty based Class Activation Maps—0
Uncertainty based Class Activation Maps for Visual Question Answering—0
Uncertainty Estimation for End-To-End Learned Dense Stereo Matching via Probabilistic Deep Learning—0
Uncertainty Quantification in CNN-Based Surface Prediction Using Shape Priors—0
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