# statmech

Hydrology models
Rivers, aquifers and other wet things that can flood your house
2020-09-07
– 2022-01-24
Quantum computing
2017-12-14
– 2022-01-21
Multi fidelity models
Data-driven coarse graining
2020-08-24
– 2022-01-20
Mind as statistical learner
2022-01-09
Predictive coding
Do our brains do variational learning and active inference in any rigorous way?
2011-11-27
– 2022-01-09
Learning with conservation laws, invariances and symmetries
2020-04-11
– 2021-12-15
Overparameterization
a.k.a. improper learning
2018-04-04
– 2021-12-08
Lévy processes
2017-05-29
– 2021-11-17
Neural nets for “implicit representations”
2021-01-21
– 2021-11-16
Optimisation
2014-10-04
– 2021-11-11
Differentiable PDE solvers
Method of adjoints etc
2017-05-15
– 2021-10-28
Machine learning for partial differential equations
2017-05-15
– 2021-10-28
Hyperparameter optimization
Replacing a hyperparameter problem with a hyperhyperparameter problem which feels like progress I guess
2020-09-25
– 2021-10-20
Neural nets for “implicit representations”
2021-01-21
– 2021-10-05
Mind as statistical learner
2020-06-23
– 2021-10-05
Gradient descent at scale
Practical implementation of large optimisations
2021-07-14
– 2021-09-28
Algorithmic statistics
Probably also algorithmic information theory
2014-07-25
– 2021-09-26
Machine learning for physical sciences
Turbulent mixing at the boundary between two disciplines with differing inertia and viscosity
2017-05-15
– 2021-09-20
Meta learning
Few-shot learning, learning fast weights, learning to learn
2021-09-16
Neural nets with implicit layers
Also, declarative networks
2020-12-08
– 2021-09-07
Sequential experiments
Especially multiple sequential experiments
2021-08-04
Morphogenesis
2011-01-19
– 2021-07-26
Point process intensities and statistical estimation thereof
2016-08-01
– 2021-07-07
Energy based models
Inference with kinda-tractable un-normalized densities
2021-06-07
Decoupling the economy from energy
2021-05-21
Power generation, engineering and use
Miscellaneous links on the magical terrible process of keeping the lights on
2021-05-04
Path integral formulations
Feynman path integrals, esp for stochastic processes
2021-04-19
Differentiable model selection
Differentiable hyperparameter search, and architecture search, and optimisation optimisation by optimisation and so on
2020-09-25
– 2021-04-13
Prediction processes
Some kind of weird time series formalism
2021-04-09
Scaling laws for very large neural nets
2021-01-14
– 2021-03-15
Neural nets with basis decomposition layers
2021-03-09
Statistical mechanics of statistics
2016-12-01
– 2021-01-06
Why does deep learning work?
Are we in the pocket of Big VRAM?
2017-05-30
– 2020-12-14
Observability and sensitivity in learning dynamical systems
Parameter identifiability in dynamical models
2020-11-09
Gradient descent
First order of business
2014-10-04
– 2020-10-27
Time
Certain quirks of entropy
2020-10-20
Automatic design of experiments
Minesweeper++
2017-04-11
– 2020-10-13
AutoML
2017-07-17
– 2020-10-02
Emulators and surrogate models
Shortcuts in scientific simulation using ML
2020-08-12
– 2020-08-26
Bushfire models
2020-09-07
– 2020-08-19
Deep learning as a dynamical system
2018-08-13
– 2020-04-02
Potential theory in probability
Something about harmonic functions or whatever
2020-02-12
Spatial point process and their statistics
2016-08-17
– 2019-12-04
Gradient descent, Higher order
2019-10-26
Informations
Entropies and other measures of surprise
2011-11-25
– 2019-09-10
Semidefinite proramming
2019-06-29
Point processes
2016-08-01
– 2019-02-18
Ergodic theory / mixing
For things that probably happen eventually
2011-10-17
– 2018-10-23
Pattern formation
2014-12-23
– 2018-10-09
Optimisation, combinatorial
2018-08-11
Quantum information in physics
What are qubits again?
2017-07-24
– 2017-12-14
Gradient descent, continuous, primal/dual formulations.
2017-08-07
Thermodynamics of life
2014-09-23
– 2017-05-30
This is a simulation
Can the automaton learn to play the game of life?
2017-04-04
Distributed optimization for regression
2016-10-11
Statistical learning theory
Eventually including structural risk minimisation, risk bounds, hopefully-uniform convergence rates, VC-dimension, generalisation-and-stability framings etc
2016-07-06
– 2016-08-16
Material basis of the economy
2011-10-17
– 2016-08-01
Dynamical systems
2016-04-26
– 2016-07-27
Thermodynamics
2015-02-20
– 2016-01-18
Statistical mechanics
2015-11-14
Earthquakes
2015-07-14
Complexity
2011-11-25
– 2015-04-11
Computational mechanics
2011-10-17
– 2015-01-02
Flocking
2011-04-19
– 2014-11-20
Econophysics
2011-04-13
Simulation for the social sciences
2010-09-28