| GP+: A Python Library for Kernel-based learning via Gaussian Processes | Dec 12, 2023 | Bayesian OptimizationGaussian Processes | CodeCode Available | 1 |
| Combined Invariant Subspace \& Frequency-Domain Subspace Method for Identification of Discrete-Time MIMO Linear Systems | Dec 12, 2023 | parameter estimation | CodeCode Available | 0 |
| Optimizing Likelihood-free Inference using Self-supervised Neural Symmetry Embeddings | Dec 11, 2023 | parameter estimationSelf-Supervised Learning | CodeCode Available | 0 |
| Adaptive Event-triggered Control For Strict-feedback Systems With Time-varying Parameters | Dec 11, 2023 | parameter estimation | —Unverified | 0 |
| Learning Differentiable Particle Filter on the Fly | Dec 10, 2023 | Bayesian InferenceObject Tracking | CodeCode Available | 0 |
| Estimation Sample Complexity of a Class of Nonlinear Continuous-time Systems | Dec 8, 2023 | parameter estimationregression | —Unverified | 0 |
| Rational Kriging | Dec 8, 2023 | parameter estimationUncertainty Quantification | —Unverified | 0 |
| Autoencoding Labeled Interpolator, Inferring Parameters From Image, And Image From Parameters | Dec 7, 2023 | Image Generationparameter estimation | —Unverified | 0 |
| Artificial Neural Network for Estimation of Physical Parameters of Sea Water using LiDAR Waveforms | Dec 5, 2023 | 3D ReconstructionDepth Estimation | —Unverified | 0 |
| Deep Learning for Fast Inference of Mechanistic Models' Parameters | Dec 5, 2023 | Deep Learningparameter estimation | —Unverified | 0 |
