# dynamical_systems

Stochastic Taylor expansion
Polynomial approximations of small randomnesses
2020-10-15
– 2021-05-14
Stochastic differential equations
Itô and friends
2019-09-19
– 2021-05-13
Spectral factorization
2021-05-05
– 2021-05-07
Wiener-Hopf method
Righteous hack for certain integral equations
2021-05-05
Path integral formulations of stochastic processes
Yes, Feynman integrals
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
Signatures of rough paths
Discrete representation of continuous signals and converse
2021-04-02
Neural nets with implicit layers
Also, declarative networks
2020-12-08
– 2021-03-15
Orthonormal and unitary matrices
Energy preserving operators, generalized rotations
2019-10-22
– 2021-03-11
Neural nets with basis decomposition layers
2021-03-09
Matrix measure concentration inequalities and bounds
2014-11-25
– 2021-03-08
Measure concentration inequalities
On being 80% sure you are only 20% wrong
2014-11-25
– 2021-03-04
Random fields as stochastic differential equations
On ordering space in time
2020-10-12
– 2021-03-01
Stochastic partial differential equations
2021-01-27
Neural nets for “implicit representations”
2021-01-21
– 2021-01-21
Statistical mechanics of statistics
2016-12-01
– 2021-01-06
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
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
Limit Theorems
Asymptotic distributions of random processes
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
Infinitesimal generators
Generators of the transition semi-group, connection to Kolmogorov forward equations
2017-05-29
– 2020-02-05
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