| CREAM: Weakly Supervised Object Localization via Class RE-Activation Mapping | May 27, 2022 | ClusteringObject | CodeCode Available | 1 |
| Hierarchical Bayesian Modelling for Knowledge Transfer Across Engineering Fleets via Multitask Learning | Apr 26, 2022 | Asset ManagementManagement | CodeCode Available | 1 |
| Stress-Testing Point Cloud Registration on Automotive LiDAR | Apr 16, 2022 | Autonomous DrivingBenchmarking | CodeCode Available | 1 |
| Systems Biology: Identifiability analysis and parameter identification via systems-biology informed neural networks | Feb 3, 2022 | parameter estimation | 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 |
| Exact linear reduction for rational dynamical systems | Jan 31, 2022 | parameter estimation | CodeCode Available | 1 |
| More layers! End-to-end regression and uncertainty on tabular data with deep learning | Dec 7, 2021 | parameter estimationregression | CodeCode Available | 1 |
| A generative nonparametric Bayesian model for whole genomes | Dec 1, 2021 | Density Estimationmodel | CodeCode Available | 1 |
| An Efficient Deep Learning Model for Automatic Modulation Recognition Based on Parameter Estimation and Transformation | Oct 11, 2021 | Automatic Modulation RecognitionIntelligent Communication | CodeCode Available | 1 |
| Mesh convolutional neural networks for wall shear stress estimation in 3D artery models | Sep 10, 2021 | parameter estimation | CodeCode Available | 1 |
| A guided edge-aware smoothing-sharpening filter based on patch interpolation model and generalized Gamma distribution | Jul 30, 2021 | Image Enhancementparameter estimation | CodeCode Available | 1 |
| Blind Room Parameter Estimation Using Multiple-Multichannel Speech Recordings | Jul 29, 2021 | parameter estimationSpeech Dereverberation | CodeCode Available | 1 |
| Contemporary Symbolic Regression Methods and their Relative Performance | Jul 29, 2021 | Benchmarkingparameter estimation | CodeCode Available | 1 |
| Real-time gravitational-wave science with neural posterior estimation | Jun 23, 2021 | parameter estimation | CodeCode Available | 1 |
| A framework for data-driven solution and parameter estimation of PDEs using conditional generative adversarial networks | May 27, 2021 | Computational EfficiencyImage-to-Image Translation | CodeCode Available | 1 |
| Non-negative matrix factorization algorithms greatly improve topic model fits | May 27, 2021 | parameter estimationTopic Models | CodeCode Available | 1 |
| A generative nonparametric Bayesian model for whole genomes | May 21, 2021 | Density Estimationparameter estimation | CodeCode Available | 1 |
| Deep Structural Estimation: With an Application to Option Pricing | Feb 18, 2021 | parameter estimation | CodeCode Available | 1 |
| NeRF--: Neural Radiance Fields Without Known Camera Parameters | Feb 14, 2021 | NeRFNovel View Synthesis | CodeCode Available | 1 |
| Memory AMP | Dec 20, 2020 | Denoisingparameter estimation | CodeCode Available | 1 |
| AMICI: High-Performance Sensitivity Analysis for Large Ordinary Differential Equation Models | Dec 16, 2020 | parameter estimationSensitivity | CodeCode Available | 1 |
| Guitar Effects Recognition and Parameter Estimation with Convolutional Neural Networks | Dec 6, 2020 | ClassificationGeneral Classification | CodeCode Available | 1 |
| A User's Guide to Calibrating Robotics Simulators | Nov 17, 2020 | Decision Makingparameter estimation | CodeCode Available | 1 |
| LUCIDGames: onLine UnsCented Inverse Dynamic Games forAdaptive Trajectory Prediction and Planning | Nov 16, 2020 | Autonomous Drivingparameter estimation | CodeCode Available | 1 |
| Noise-Contrastive Estimation for Multivariate Point Processes | Nov 2, 2020 | parameter estimationPoint Processes | CodeCode Available | 1 |
| Wide-angle Image Rectification: A Survey | Oct 30, 2020 | 3D ReconstructionAutonomous Driving | CodeCode Available | 1 |
| Hyperspectral Image Super-Resolution via Deep Prior Regularization with Parameter Estimation | Sep 9, 2020 | Hyperspectral Image Super-ResolutionImage Super-Resolution | CodeCode Available | 1 |
| Who Left the Dogs Out? 3D Animal Reconstruction with Expectation Maximization in the Loop | Jul 21, 2020 | parameter estimation | CodeCode Available | 1 |
| A new method for parameter estimation in probabilistic models: Minimum probability flow | Jul 17, 2020 | parameter estimation | CodeCode Available | 1 |
| Image Processing and Quality Control for Abdominal Magnetic Resonance Imaging in the UK Biobank | Jul 2, 2020 | parameter estimation | CodeCode Available | 1 |
| ADD: Analytically Differentiable Dynamics for Multi-Body Systems with Frictional Contact | Jul 2, 2020 | Motion Planningparameter estimation | CodeCode Available | 1 |
| Prior choice affects ability of Bayesian neural networks to identify unknowns | May 11, 2020 | parameter estimation | CodeCode Available | 1 |
| Physics-Informed Neural Networks for Non-linear System Identification for Power System Dynamics | Apr 8, 2020 | parameter estimation | CodeCode Available | 1 |
| A Graduated Filter Method for Large Scale Robust Estimation | Mar 20, 2020 | parameter estimation | CodeCode Available | 1 |
| BayesFlow: Learning complex stochastic models with invertible neural networks | Mar 13, 2020 | Bayesian InferenceEpidemiology | CodeCode Available | 1 |
| Confidence Sets and Hypothesis Testing in a Likelihood-Free Inference Setting | Feb 24, 2020 | parameter estimationTwo-sample testing | CodeCode Available | 1 |
| Manifold Mixup improves text recognition with CTC loss | Mar 11, 2019 | Data AugmentationGeneral Classification | CodeCode Available | 1 |
| Enhancing Discrete Choice Models with Representation Learning | Dec 23, 2018 | Discrete Choice Modelsparameter estimation | CodeCode Available | 1 |
| Analyzing Federated Learning through an Adversarial Lens | Nov 29, 2018 | Federated LearningModel Poisoning | CodeCode Available | 1 |
| Variational Noise-Contrastive Estimation | Oct 18, 2018 | parameter estimationVariational Inference | CodeCode Available | 1 |
| Variational Autoencoders for Collaborative Filtering | Feb 16, 2018 | Bayesian InferenceCollaborative Filtering | CodeCode Available | 1 |
| Finite-dimensional Gaussian approximation with linear inequality constraints | Oct 20, 2017 | parameter estimationUncertainty Quantification | CodeCode Available | 1 |
| Stable Architectures for Deep Neural Networks | May 9, 2017 | Deep Learningparameter estimation | CodeCode Available | 1 |
| Convolutional neural network architecture for geometric matching | Mar 16, 2017 | Geometric Matchingparameter estimation | CodeCode Available | 1 |
| Learning Latent Vector Spaces for Product Search | Aug 25, 2016 | Learning-To-Rankparameter estimation | CodeCode Available | 1 |
| End-to-end Learning of LDA by Mirror-Descent Back Propagation over a Deep Architecture | Aug 14, 2015 | General Classificationparameter estimation | CodeCode Available | 1 |
| SAME but Different: Fast and High-Quality Gibbs Parameter Estimation | Sep 18, 2014 | Bayesian Inferenceparameter estimation | CodeCode Available | 1 |
| Probabilistic Inductive Logic Programming Based on Answer Set Programming | May 4, 2014 | Inductive logic programmingparameter estimation | CodeCode Available | 1 |
| Minimum Probability Flow Learning | Jun 25, 2009 | parameter estimation | CodeCode Available | 1 |
| Latent Dirichlet Allocation | Jan 1, 2003 | Collaborative Filteringparameter estimation | CodeCode Available | 1 |
