Physics

Machine learning for partial differential equations 2017-05-15 – 2021-03-03

Convolutional Gaussian processes 2021-03-01

Convolutional stochastic processes 2021-03-01

Machine learning for physical sciences Turbulent mixing at the boundary between two disciplines with differing inertia and viscosity 2017-05-15 – 2020-12-12

Multi-output Gaussian process regression 2020-12-07

Hydrology models Rivers, aquifers and all that 2020-09-07 – 2020-09-17

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

Multi fidelity models 2020-08-24

Bushfire models 2020-09-07 – 2020-08-19

Quantum computing 2017-12-14 – 2020-05-23

Learning with conservation laws, invariances and symmetries 2020-04-11 – 2020-05-01

Learning with conservation laws, invariances and symmetries 2020-04-11 – 2020-05-01

Hamiltonian and Langevin Monte Carlo Physics might be on to something 2018-07-31 – 2018-07-12

Quantum information in physics What are qubits again? 2017-07-24 – 2017-12-14

Lagrangian mechanics 2015-02-11 – 2017-06-18

Special functions 2014-07-25 – 2016-12-21

Material basis of the economy 2011-10-17 – 2016-08-01

Fluctuation-relaxation/response/dissipation 2016-06-07

Thermodynamics 2015-02-20 – 2016-01-18

Earthquakes 2015-07-14