# statmech

Machine learning for partial differential equations
2017-05-15
– 2021-04-13
Differentiable model selection
Differentiable hyperparameter search, and architecture search, and optimisation optimisation by optimisation and so on
2020-09-25
– 2021-04-13
Hydrology models
Rivers, aquifers and all that
2020-09-07
– 2021-04-13
Prediction processes
Some kind of weird time series formalism
2021-04-09
Machine learning for physical sciences
Turbulent mixing at the boundary between two disciplines with differing inertia and viscosity
2017-05-15
– 2021-04-09
ML scaling laws in the massive model limit
2021-01-14
– 2021-03-15
Neural nets with implicit layers
Also, declarative networks
2020-12-08
– 2021-03-15
Neural nets with basis decomposition layers
2021-03-09
Hyperparameter optimization in ML
Replacing a hyperparameter problem with a hyperhyperparameter problem which feels like progress I guess
2020-09-25
– 2021-03-01
Mind as statistical learner
2020-06-23
– 2021-01-28
Neural nets for “implicit representations”
2021-01-21
– 2021-01-21
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
Free energy
Fancy analogy for understanding cognition
2011-11-27
– 2020-12-01
Predictive processing
Fancy analogy for understanding cognition
2011-11-27
– 2020-12-01
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
Multi fidelity models
2020-08-24
Bushfire models
2020-09-07
– 2020-08-19
Lévy processes
2017-05-29
– 2020-07-25
Quantum computing
2017-12-14
– 2020-05-23
Learning with conservation laws, invariances and symmetries
2020-04-11
– 2020-05-01
Deep learning as a dynamical system
2018-08-13
– 2020-04-02
Morphogenesis
2011-01-19
– 2020-03-05
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
Optimisation
2014-10-04
– 2019-06-27
Point processes
2016-08-01
– 2019-02-18
Algorithmic statistics
2014-07-25
– 2019-01-15
Overparameterization
a.k.a. improper learning
2018-04-04
– 2018-12-11
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
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