| 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 |
| Identifying the measurements required to estimate rates of COVID-19 transmission, infection, and detection, using variational data assimilation | Jul 31, 2020 | parameter estimation | CodeCode Available | 0 |
| A Functional Model for Structure Learning and Parameter Estimation in Continuous Time Bayesian Network: An Application in Identifying Patterns of Multiple Chronic Conditions | Jul 31, 2020 | Clusteringparameter estimation | —Unverified | 0 |
| Parameter estimation in dynamical systems via Statistical Learning: a reinterpretation of Approximate Bayesian Computation applied to COVID-19 spread | Jul 28, 2020 | parameter estimation | —Unverified | 0 |
| Scalable Bayesian estimation in the multinomial probit model | Jul 26, 2020 | modelparameter estimation | —Unverified | 0 |
| Deep composition of tensor-trains using squared inverse Rosenblatt transports | Jul 14, 2020 | parameter estimationUncertainty Quantification | —Unverified | 0 |
| Robust Identifiability in Linear Structural Equation Models of Causal Inference | Jul 14, 2020 | Causal Inferenceparameter estimation | —Unverified | 0 |
