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Probabilistic Deep Learning

Papers

Showing 125 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
Graph-based Thermal-Inertial SLAM with Probabilistic Neural NetworksCode1
A Quantum-Inspired Probabilistic Model for the Inverse Design of Meta-StructuresCode1
Learning Monocular Dense Depth from EventsCode1
Estimating and Evaluating Regression Predictive Uncertainty in Deep Object DetectorsCode1
Global canopy height regression and uncertainty estimation from GEDI LIDAR waveforms with deep ensemblesCode1
A Novel Deep Learning Model for Hotel Demand and Revenue Prediction amid COVID-19Code1
Towards Adversarial Robustness of Bayesian Neural Network through Hierarchical Variational InferenceCode1
Olympus: a benchmarking framework for noisy optimization and experiment planningCode1
Probabilistic Deep Learning for Electric-Vehicle Energy-Use PredictionCode1
BreastScreening: On the Use of Multi-Modality in Medical Imaging DiagnosisCode1
Probabilistic Deep Learning to Quantify Uncertainty in Air Quality ForecastingCode1
FiLM-Ensemble: Probabilistic Deep Learning via Feature-wise Linear ModulationCode1
Transductive Decoupled Variational Inference for Few-Shot ClassificationCode1
A Self-Supervised Approach to Reconstruction in Sparse X-Ray Computed TomographyCode0
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
DeepTract: A Probabilistic Deep Learning Framework for White Matter Fiber TractographyCode0
Benchmarking Probabilistic Deep Learning Methods for License Plate RecognitionCode0
Probabilistic Deep Learning and Transfer Learning for Robust Cryptocurrency Price PredictionCode0
DeepSynth: Automata Synthesis for Automatic Task Segmentation in Deep Reinforcement LearningCode0
Microcanonical Langevin Ensembles: Advancing the Sampling of Bayesian Neural NetworksCode0
Deep Directional Statistics: Pose Estimation with Uncertainty QuantificationCode0
Detecting Model Misspecification in Amortized Bayesian Inference with Neural NetworksCode0
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