uncertaintyMachine learning for partial differential equations 2017-05-15 – 2023-11-17Feedback system identification, not necessarily linear Learning dynamics from data 2016-08-01 – 2023-11-15Physics-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 – 2023-10-19Probabilistic numerics 2023-07-13 – 2023-09-25Machine learning for climate systems 2020-04-02 – 2023-09-25Materials informatics Machine learning in condensed matter physics, chemistry and materials science 2023-08-01 – 2023-08-08Hypothesis tests, statistical 2014-08-23 – 2023-07-18Bayes neural nets via subsetting weights 2017-01-11 – 2023-07-03Neural learning dynamical systems 2018-08-13 – 2023-05-23Canonical correlation 2014-08-23 – 2023-05-17Differentiable PDE solvers 2017-05-15 – 2023-05-15Conformal prediction 2016-12-26 – 2023-05-05Monte Carlo gradient estimation 2020-09-30 – 2023-05-02Probabilistic neural nets Bayesian and other probabilistic inference in overparameterized ML 2017-01-11 – 2023-04-27ΦFlow A modern python computational fluid dynamics library for ML research 2022-06-24 – 2023-04-17Last-layer Bayes neural nets Bayesian and other probabilistic inference in overparameterized ML 2017-01-11 – 2023-02-09Last-layer Bayes neural nets Bayesian and other probabilistic inference in overparameterized ML 2017-01-11 – 2023-02-09Machine learning for physical sciences Turbulent mixing at the boundary between disciplines with differing inertia and viscosity 2017-05-15 – 2022-12-07Ensemble Kalman methods for training neural networks Data assimilation for network weights 2022-09-20(Discrete-measure)-valued stochastic processes 2019-10-10 – 2022-05-04Measure-valued stochastic processes Moving masses 2020-10-16 – 2022-05-03Probabilistic neural nets Inferring distributions in neural nets 2017-01-11 – 2022-04-07Partition-valued random variates 2022-04-01Measure-valued random variates Including completely random measures and many generalizations 2020-10-16 – 2022-03-30Bootstrap Shuffling reality to produce your data 2014-11-26 – 2022-01-27Learning 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 – 2021-08-16Uncertainty quantification 2016-12-26 – 2021-07-06Stochastic processes on manifolds 2021-03-01Weighted data in statistics 2020-11-04 – 2020-11-06Nearly sufficient statistics How about “Sufficient sufficiency”? — is that taken? 2018-03-13 – 2019-01-14Sparse stochastic processes identification and sampling Discrete sample representation of sparse continuous stochastic processes 2018-11-22 – 2018-10-29Stability (in learning) 2016-05-25 – 2016-10-05Dynamical systems 2016-04-26 – 2016-07-27

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

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

Probabilistic neural nets Bayesian and other probabilistic inference in overparameterized ML 2017-01-11 – 2023-04-27

Last-layer Bayes neural nets Bayesian and other probabilistic inference in overparameterized ML 2017-01-11 – 2023-02-09

Last-layer Bayes neural nets Bayesian and other probabilistic inference in overparameterized ML 2017-01-11 – 2023-02-09

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

Ensemble Kalman methods for training neural networks Data assimilation for network weights 2022-09-20

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

Nearly sufficient statistics How about “Sufficient sufficiency”? — is that taken? 2018-03-13 – 2019-01-14

Sparse stochastic processes identification and sampling Discrete sample representation of sparse continuous stochastic processes 2018-11-22 – 2018-10-29