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Probabilistic Deep Learning

Papers

Showing 150 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
Estimating and Evaluating Regression Predictive Uncertainty in Deep Object DetectorsCode1
FiLM-Ensemble: Probabilistic Deep Learning via Feature-wise Linear ModulationCode1
Towards Adversarial Robustness of Bayesian Neural Network through Hierarchical Variational InferenceCode1
Transductive Decoupled Variational Inference for Few-Shot ClassificationCode1
Probabilistic Deep Learning for Electric-Vehicle Energy-Use PredictionCode1
A Novel Deep Learning Model for Hotel Demand and Revenue Prediction amid COVID-19Code1
Global canopy height regression and uncertainty estimation from GEDI LIDAR waveforms with deep ensemblesCode1
BreastScreening: On the Use of Multi-Modality in Medical Imaging DiagnosisCode1
Learning Monocular Dense Depth from EventsCode1
Graph-based Thermal-Inertial SLAM with Probabilistic Neural NetworksCode1
Probabilistic Deep Learning to Quantify Uncertainty in Air Quality ForecastingCode1
Olympus: a benchmarking framework for noisy optimization and experiment planningCode1
A Quantum-Inspired Probabilistic Model for the Inverse Design of Meta-StructuresCode1
DeepSynth: Automata Synthesis for Automatic Task Segmentation in Deep Reinforcement LearningCode0
DeepTract: A Probabilistic Deep Learning Framework for White Matter Fiber TractographyCode0
Variational Imbalanced Regression: Fair Uncertainty Quantification via Probabilistic SmoothingCode0
Uncertainty Voting Ensemble for Imbalanced Deep RegressionCode0
Microcanonical Langevin Ensembles: Advancing the Sampling of Bayesian Neural NetworksCode0
Integrating Physics of the Problem into Data-Driven Methods to Enhance Elastic Full-Waveform Inversion with Uncertainty QuantificationCode0
Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset ShiftCode0
Overcoming Limitations of Mixture Density Networks: A Sampling and Fitting Framework for Multimodal Future PredictionCode0
Probabilistic Deep Learning and Transfer Learning for Robust Cryptocurrency Price PredictionCode0
A Self-Supervised Approach to Reconstruction in Sparse X-Ray Computed TomographyCode0
A Simple Approach to Improve Single-Model Deep Uncertainty via Distance-AwarenessCode0
Conditional deep surrogate models for stochastic, high-dimensional, and multi-fidelity systemsCode0
Probabilistic Metamodels for an Efficient Characterization of Complex Driving ScenariosCode0
Detecting Model Misspecification in Amortized Bayesian Inference with Neural NetworksCode0
Kernel Density Matrices for Probabilistic Deep LearningCode0
Hybrid Models with Deep and Invertible FeaturesCode0
Stochastic Latent Transformer: Efficient Modelling of Stochastically Forced Zonal JetsCode0
Deep Directional Statistics: Pose Estimation with Uncertainty QuantificationCode0
Benchmarking Probabilistic Deep Learning Methods for License Plate RecognitionCode0
Prostate Tissue Grading with Deep Quantum Measurement Ordinal Regression0
Quantification of Uncertainties in Probabilistic Deep Neural Network by Implementing Boosting of Variational Inference0
Residue Density Segmentation for Monitoring and Optimizing Tillage Practices0
Restricted Boltzmann Machine and Deep Belief Network: Tutorial and Survey0
Stochastic-Shield: A Probabilistic Approach Towards Training-Free Adversarial Defense in Quantized CNNs0
U-CAM: Visual Explanation using Uncertainty based Class Activation Maps0
Uncertainty based Class Activation Maps for Visual Question Answering0
Uncertainty Estimation for End-To-End Learned Dense Stereo Matching via Probabilistic Deep Learning0
Uncertainty Quantification in CNN-Based Surface Prediction Using Shape Priors0
Unfolding AlphaFold's Bayesian Roots in Probability Kinematics0
A 3D Probabilistic Deep Learning System for Detection and Diagnosis of Lung Cancer Using Low-Dose CT Scans0
Workload Forecasting of a Logistic Node Using Bayesian Neural Networks0
Advancing from Predictive Maintenance to Intelligent Maintenance with AI and IIoT0
A high-resolution canopy height model of the Earth0
A probabilistic deep learning approach to automate the interpretation of multi-phase diffraction spectra0
A VAE-Bayesian Deep Learning Scheme for Solar Generation Forecasting based on Dimensionality Reduction0
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