| Robust identifiability for symbolic recovery of differential equations | Oct 13, 2024 | parameter estimation | CodeCode Available | 0 |
| Deep Learning and genetic algorithms for cosmological Bayesian inference speed-up | May 6, 2024 | Bayesian InferenceHyperparameter Optimization | CodeCode Available | 0 |
| Stochastic gradient descent methods for estimation with large data sets | Sep 22, 2015 | parameter estimation | CodeCode Available | 0 |
| Likelihood-based generalization of Markov parameter estimation and multiple shooting objectives in system identification | Dec 20, 2022 | parameter estimation | CodeCode Available | 0 |
| On the smoothness of nonlinear system identification | May 2, 2019 | parameter estimationPrediction | CodeCode Available | 0 |
| Characterisation of Anti-Arrhythmic Drug Effects on Cardiac Electrophysiology using Physics-Informed Neural Networks | Mar 13, 2024 | parameter estimation | CodeCode Available | 0 |
| A Parameter-free Adaptive Resonance Theory-based Topological Clustering Algorithm Capable of Continual Learning | May 1, 2023 | ClusteringContinual Learning | CodeCode Available | 0 |
| Deep Integro-Difference Equation Models for Spatio-Temporal Forecasting | Oct 29, 2019 | parameter estimationSpatio-Temporal Forecasting | CodeCode Available | 0 |
| Deep Global Generalized Gaussian Networks | Jun 1, 2019 | parameter estimationRolling Shutter Correction | CodeCode Available | 0 |
| Tensor Factorization via Matrix Factorization | Jan 29, 2015 | parameter estimation | CodeCode Available | 0 |
