| Example-based Color Transfer with Gaussian Mixture Modeling | Aug 31, 2020 | parameter estimation | —Unverified | 0 |
| A Data-driven Understanding of COVID-19 Dynamics Using Sequential Genetic Algorithm Based Probabilistic Cellular Automata | Aug 27, 2020 | parameter estimation | —Unverified | 0 |
| Variable selection for Gaussian process regression through a sparse projection | Aug 25, 2020 | parameter estimationregression | —Unverified | 0 |
| State Observation of LTV Systems with Delayed Measurements: A Parameter Estimation-based Approach | Aug 18, 2020 | parameter estimation | —Unverified | 0 |
| Reliable Uncertainties for Bayesian Neural Networks using Alpha-divergences | Aug 15, 2020 | parameter estimationregression | —Unverified | 0 |
| Machine Learning for Robust Identification of Complex Nonlinear Dynamical Systems: Applications to Earth Systems Modeling | Aug 12, 2020 | BIG-bench Machine LearningGaussian Processes | —Unverified | 0 |
| Learning Bloch Simulations for MR Fingerprinting by Invertible Neural Networks | Aug 10, 2020 | Magnetic Resonance Fingerprintingparameter estimation | CodeCode Available | 0 |
| Network Inference from a Mixture of Diffusion Models for Fake News Mitigation | Aug 8, 2020 | parameter estimation | —Unverified | 0 |
| Fractal Gaussian Networks: A sparse random graph model based on Gaussian Multiplicative Chaos | Aug 7, 2020 | parameter estimationStochastic Block Model | —Unverified | 0 |
| Adaptive Physics-Informed Neural Networks for Markov-Chain Monte Carlo | Aug 3, 2020 | parameter estimation | —Unverified | 0 |
