| Convolutional neural network architecture for geometric matching | Mar 16, 2017 | Geometric Matchingparameter estimation | CodeCode Available | 1 |
| CREAM: Weakly Supervised Object Localization via Class RE-Activation Mapping | May 27, 2022 | ClusteringObject | CodeCode Available | 1 |
| Deep Structural Estimation: With an Application to Option Pricing | Feb 18, 2021 | parameter estimation | CodeCode Available | 1 |
| A generative nonparametric Bayesian model for whole genomes | Dec 1, 2021 | Density Estimationmodel | CodeCode Available | 1 |
| Enhancing Power Prediction of Photovoltaic Systems: Leveraging Dynamic Physical Model for Irradiance-to-Power Conversion | Feb 19, 2024 | parameter estimation | CodeCode Available | 1 |
| Exact linear reduction for rational dynamical systems | Jan 31, 2022 | parameter estimation | CodeCode Available | 1 |
| Extrinsic Camera Calibration with Semantic Segmentation | Aug 8, 2022 | Camera Calibrationparameter estimation | CodeCode Available | 1 |
| Finite-dimensional Gaussian approximation with linear inequality constraints | Oct 20, 2017 | parameter estimationUncertainty Quantification | CodeCode Available | 1 |
| Gaussian process learning of nonlinear dynamics | Dec 19, 2023 | Bayesian Inferenceparameter estimation | CodeCode Available | 1 |
| GP+: A Python Library for Kernel-based learning via Gaussian Processes | Dec 12, 2023 | Bayesian OptimizationGaussian Processes | CodeCode Available | 1 |
| Guitar Effects Recognition and Parameter Estimation with Convolutional Neural Networks | Dec 6, 2020 | ClassificationGeneral Classification | CodeCode Available | 1 |
| Bayesian neural networks via MCMC: a Python-based tutorial | Apr 2, 2023 | Bayesian InferenceDeep Learning | CodeCode Available | 1 |
| Inferring networks from time series: a neural approach | Mar 30, 2023 | parameter estimationregression | CodeCode Available | 1 |
| Inverse Rendering of Translucent Objects using Physical and Neural Renderers | May 15, 2023 | Inverse Renderingparameter estimation | CodeCode Available | 1 |
| Hierarchical Bayesian Modelling for Knowledge Transfer Across Engineering Fleets via Multitask Learning | Apr 26, 2022 | Asset ManagementManagement | CodeCode Available | 1 |
| Learning-Based Framework for Camera Calibration with Distortion Correction and High Precision Feature Detection | Feb 1, 2022 | Camera Calibrationdistortion correction | CodeCode Available | 1 |
| Learning Latent Vector Spaces for Product Search | Aug 25, 2016 | Learning-To-Rankparameter estimation | CodeCode Available | 1 |
| Enhancing Discrete Choice Models with Representation Learning | Dec 23, 2018 | Discrete Choice Modelsparameter estimation | CodeCode Available | 1 |
| LUCIDGames: onLine UnsCented Inverse Dynamic Games forAdaptive Trajectory Prediction and Planning | Nov 16, 2020 | Autonomous Drivingparameter estimation | CodeCode Available | 1 |
| Enhancing Nighttime UAV Tracking with Light Distribution Suppression | Sep 25, 2024 | Object Trackingparameter estimation | CodeCode Available | 1 |
| A Graduated Filter Method for Large Scale Robust Estimation | Mar 20, 2020 | parameter estimation | CodeCode Available | 1 |
| NeRF--: Neural Radiance Fields Without Known Camera Parameters | Feb 14, 2021 | NeRFNovel View Synthesis | CodeCode Available | 1 |
| Neural parameter calibration for large-scale multi-agent models | Sep 27, 2022 | Epidemiologyparameter estimation | CodeCode Available | 1 |
| Mitigating Adversarial Vulnerability through Causal Parameter Estimation by Adversarial Double Machine Learning | Jul 14, 2023 | Adversarial Robustnessparameter estimation | CodeCode Available | 1 |
| Wide-angle Image Rectification: A Survey | Oct 30, 2020 | 3D ReconstructionAutonomous Driving | CodeCode Available | 1 |