dynamical_systems

Random fields as stochastic differential equations On ordering space in time 2020-10-12 – 2021-03-01

Orthonormal and unitary matrices Energy preserving operators 2019-10-22 – 2021-02-16

Stochastic partial differential equations 2021-01-27

Neural nets for “implicit representations” 2021-01-21 – 2021-01-21

Neural nets with implicit layers 2020-12-08 – 2020-12-12

Nonparametrically learning dynamical systems 2018-08-13 – 2020-12-08

Probabilistic spectral analysis 2019-11-13 – 2020-11-25

Hidden Markov Model inference for Gaussian Process regression 2019-09-18 – 2020-11-25

Observability and sensitivity in learning dynamical systems Parameter identifiability in dynamical models 2020-11-09

Itō-Taylor expansion Polynomial approximations of small randomnesses 2020-10-15

Dynamical systems via Koopman operators 2020-10-13

Filter design, linear Especially digital 2017-07-24 – 2020-09-18

Online learning 2018-09-30 – 2020-08-26

Stochastic signal sampling Discrete sample representation of continuous stochastic processes 2017-05-30 – 2020-06-11

Functional regression 2016-01-05 – 2020-05-28

Voice fakes 2018-09-06 – 2020-05-27

Malliavin calculus 2020-05-23 – 2020-05-25

Lévy stochastic differential equations 2020-05-23

Stochastic differential equations Itō and friends 2019-09-19 – 2020-05-18

Limit Theorems Asymptotic distributions of random processes 2014-11-25 – 2020-05-06

Measure concentration inequalities On being 80% sure you are only 20% wrong 2014-11-25 – 2020-05-06

Deep learning as a dynamical system 2018-08-13 – 2020-04-02

Nonparametrically learning spatiotemporal systems 2020-09-16 – 2020-04-02

Effective sample size 2016-11-21 – 2020-03-03

Cepstral transforms and harmonic identification 2017-09-12 – 2020-02-13

Potential theory in probability Something about harmonic functions or whatever 2020-02-12

Divisibility, decomposability, stability Ways of slicing randomness 2017-06-15 – 2020-01-28

Non-uniform signal sampling Discrete sample representation of continuous signals without a grid 2019-01-08 – 2019-12-03

Convergence of random variables 2019-12-03

Cherchez la martingale Stuff about probability and orthogonality 2019-11-25 – 2019-11-30

Optimal control 2015-06-22 – 2019-11-01

Gaussian processes on lattices 2019-10-30

Synchronisation and rhythm Especially for generative music 2014-11-03 – 2019-10-23

Delays and reverbs for audio processing …ing …ing …ing 2015-11-11 – 2019-10-22

State filtering parameters Tracking things that don’t move 2017-09-15 – 2019-10-01

Correlograms Also covariances 2018-08-08 – 2019-09-22

Nonparametric state filters via Gaussian Processes 2019-09-18

Signal sampling Discrete representation of continuous signals and converse 2017-05-30 – 2019-03-08

Decaying sinusoid dictionaries 2019-01-07

Variational state filtering 2018-03-19 – 2018-12-07

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

Feedback system identification, linear 2016-07-27 – 2018-10-23

Ergodic theory / mixing For things that probably happen eventually 2011-10-17 – 2018-10-23

Signal processing That which you study for 4 years in order to design trippy music visualisers 2015-03-18 – 2018-01-05

Feedback system identification, not necessarily linear 2016-08-01 – 2018-01-03

State filtering for hidden Markov models Kalman and friends 2015-06-22 – 2017-07-06

State space reconstruction 2014-10-13 – 2016-08-02

Dynamical systems 2016-04-26 – 2016-07-27