SOTAVerified

Probabilistic Deep Learning

Papers

Showing 125 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 19880
Forecasting Residential Heating and Electricity Demand with Scalable, High-Resolution, Open-Source Models0
Unfolding AlphaFold's Bayesian Roots in Probability Kinematics0
Quantification of Uncertainties in Probabilistic Deep Neural Network by Implementing Boosting of Variational Inference0
Microcanonical Langevin Ensembles: Advancing the Sampling of Bayesian Neural NetworksCode0
Fast and Reliable Probabilistic Reflectometry Inversion with Prior-Amortized Neural Posterior Estimation0
Probabilistic Deep Learning and Transfer Learning for Robust Cryptocurrency Price PredictionCode0
Detecting Model Misspecification in Amortized Bayesian Inference with Neural Networks: An Extended Investigation0
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 Network0
Show:102550
← PrevPage 1 of 4Next →

No leaderboard results yet.