dynamical_systems

Ensemble Kalman methods Data Assimilation; Data fusion; Sloppy filters for over-ambitious models 2015-06-22 – 2023-01-24

Variational message-passing algorithms in graphical models Cleaving reality at the joint, then summing it at the marginal 2014-11-25 – 2023-01-12

Transforms of Gaussian noise Delta method, error propagation, unscented transform, Taylor expansion… 2014-11-25 – 2022-12-23

Nonparametrically learning dynamical systems 2018-08-13 – 2022-12-06

Deep learning as a dynamical system 2018-08-13 – 2022-10-30

The edge of chaos Computation, evolution, competition and other past-times of faculty 2016-12-01 – 2022-10-30

Online learning 2018-09-30 – 2022-10-20

Generalised Ornstein-Uhlenbeck processes Markov/AR(1)-like processes 2022-01-10 – 2022-09-21

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

Gaussian belief propagation Least squares at maximal elaboration 2014-11-25 – 2022-09-01

State space reconstruction 2014-10-13 – 2022-08-30

Elliptical belief propagation Generalized least generalized squares 2022-08-22 – 2022-08-23

Neural nets with implicit layers Also, declarative networks, bi-level optimization and other ingenious uses of the implicit function theorem 2020-12-08 – 2022-08-09

Neural learning for spatiotemporal systems 2020-09-16 – 2022-07-28

State filtering for hidden Markov models Kalman and friends 2015-06-22 – 2022-06-28

Stochastic signal sampling Discrete sample representation of continuous stochastic processes 2017-05-30 – 2022-06-24

Signal sampling Discrete representation of continuous signals and converse 2017-05-30 – 2022-06-24

Markov decision problems 2014-11-27 – 2022-06-07

Stochastic partial differential equations SDEs taking values in some function space 2021-01-27 – 2022-05-25

Forecasting with model averaging Mixture of experts, ensembles and time series 2022-05-04

SLAM Simultaneous Location and Mapping 2014-11-25 – 2022-04-28

Synchrony between things, especially organisms Entrainment, synchronisation, dancing together 2014-11-03 – 2022-04-23

Divisible, decomposable and stable distributions Ways of slicing randomness 2017-06-15 – 2022-04-18

Particle belief propagation Graphical inference using empirical distribution estimates 2014-07-25 – 2022-04-08

Particle Markov Chain Monte Carlo Particle systems as MCMC proposals 2014-07-25 – 2022-04-08

Orthonormal and unitary matrices Energy preserving operators, generalized rotations 2019-10-22 – 2022-04-05

Belief propagation 2014-11-25 – 2022-03-31

Reservoir Computing 2022-03-28

Gaussian processes on lattices 2019-10-30 – 2022-02-28

OODA loops 2021-05-01 – 2022-02-28

Stability in dynamical systems Lyapunov exponents and ilk 2019-05-21 – 2022-02-22

System identification in continuous time Learning in continuous ODEs, SDEs and CDEs 2016-08-01 – 2022-02-15

Ergodicity and mixing Things that probably happen eventually on average 2011-10-17 – 2022-02-13

Neural nets for “implicit representations” 2021-01-21 – 2022-02-01

Neural nets with basis decomposition layers 2021-03-09 – 2022-02-01

Running neural nets backwards 2022-01-29

Feedback system identification, not necessarily linear Learning dynamics from data 2016-08-01 – 2022-01-27

Feedback system identification, linear 2016-07-27 – 2022-01-21

Generalised autoregressive processes 2022-01-10

Variational state filtering 2018-03-19 – 2021-12-08

Gaussian Processes as stochastic differential equations Imposing time on things 2019-09-18 – 2021-11-25

Neural nets for “implicit representations” 2021-01-21 – 2021-11-16

Networks and graphs, theory thereof 2014-11-24 – 2021-10-20

Random neural networks 2017-02-17 – 2021-10-12

Stochastic calculus Itô and friends 2019-09-19 – 2021-08-31

Rough path theory Also, signatures. 2021-04-02 – 2021-08-05

Backward stochastic differential equations 2019-09-19 – 2021-06-22

Stochastic differential equations 2019-09-19 – 2021-06-22

Voice fakes 2018-09-06 – 2021-06-17

Stochastic Taylor expansion Polynomial approximations of small randomnesses 2020-10-15 – 2021-05-14

Spectral factorization 2021-05-05 – 2021-05-07

Wiener-Hopf method Righteous hack for certain integral equations 2021-05-05

Path integral formulations Feynman path integrals, esp for stochastic processes 2021-04-19

Prediction processes Some kind of weird time series formalism 2021-04-09

Dynamical systems via Koopman operators Composition operators, Dynamic Extended Mode decompositions… 2020-10-13 – 2021-04-09

Matrix measure concentration inequalities and bounds 2014-11-25 – 2021-03-08

Measure concentration inequalities On being 80% sure I am only 20% wrong 2014-11-25 – 2021-03-04

Random fields as stochastic differential equations Precision vs covariance, fight! 2020-10-12 – 2021-03-01

Stability in linear dynamical systems This Bodes well 2019-07-19 – 2021-02-16

Statistical mechanics of statistics 2016-12-01 – 2021-01-06

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

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

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

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

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

Lévy stochastic differential equations 2020-05-23

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

Infinitesimal generators Generators of the transition semi-group, connection to Kolmogorov forward equations 2017-05-29 – 2020-02-05

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

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

Defining dynamics via Gaussian processes 2019-09-18

Decaying sinusoid dictionaries 2019-01-07

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

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

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