pdesComputational Fluid Dynamics 2021-01-27 – 2023-11-30Machine learning for partial differential equations 2017-05-15 – 2023-11-17Feedback system identification, not necessarily linear Learning dynamics from data 2016-08-01 – 2023-11-15Numerical PDE solvers 2016-03-01 – 2023-10-23Physics-informed neural networks 2019-10-15 – 2023-10-19Neural PDE operator learning Especially forward operators. Image-to-image regression, where the images encode a physical process. 2019-10-15 – 2023-10-19Machine learning for climate systems 2020-04-02 – 2023-09-25Potential theory in probability Something about harmonic functions or whatever 2020-02-12 – 2023-08-24Materials informatics Machine learning in condensed matter physics, chemistry and materials science 2023-08-01 – 2023-08-08Non-Gaussian Bayesian functional regression 2019-10-10 – 2023-05-25Differentiable PDE solvers 2017-05-15 – 2023-05-15Model order reduction 2015-03-22 – 2023-04-21ΦFlow A modern python computational fluid dynamics library for ML research 2022-06-24 – 2023-04-17Machine learning for physical sciences Turbulent mixing at the boundary between disciplines with differing inertia and viscosity 2017-05-15 – 2022-12-07Deep learning as a dynamical system 2018-08-13 – 2022-10-30Partial differential equations 2021-01-27 – 2022-07-23Measure-valued stochastic processes Moving masses 2020-10-16 – 2022-05-03Partition-valued random variates 2022-04-01Measure-valued random variates Including completely random measures and many generalizations 2020-10-16 – 2022-03-30Learning Gaussian processes which map functions to functions 2020-12-07 – 2022-02-25Learning on manifolds Finding the lowest bit of a krazy straw, from the inside 2011-10-21 – 2022-01-26Feedback system identification, linear 2016-07-27 – 2022-01-21Convolutional subordinator processes 2021-03-08 – 2021-12-01Convolutional stochastic processes Moving averages of noise 2021-03-01 – 2021-08-16Convolutional Gaussian processes 2021-03-01Stochastic processes on manifolds 2021-03-01Emulators and surrogate models via ML Shortcuts in scientific simulation using ML 2020-08-12 – 2020-08-26Dynamical systems 2016-04-26 – 2016-07-27Earthquakes 2015-07-14

Feedback system identification, not necessarily linear Learning dynamics from data 2016-08-01 – 2023-11-15

Neural PDE operator learning Especially forward operators. Image-to-image regression, where the images encode a physical process. 2019-10-15 – 2023-10-19

Potential theory in probability Something about harmonic functions or whatever 2020-02-12 – 2023-08-24

Materials informatics Machine learning in condensed matter physics, chemistry and materials science 2023-08-01 – 2023-08-08

Machine learning for physical sciences Turbulent mixing at the boundary between disciplines with differing inertia and viscosity 2017-05-15 – 2022-12-07

Measure-valued random variates Including completely random measures and many generalizations 2020-10-16 – 2022-03-30

Learning on manifolds Finding the lowest bit of a krazy straw, from the inside 2011-10-21 – 2022-01-26

Emulators and surrogate models via ML Shortcuts in scientific simulation using ML 2020-08-12 – 2020-08-26