Commonplace
Variational linear methods for approximating posteriors
Explanation & example will follow # import torch nn = torch.nn class LinearVariationalNormal(nn.Module): def __init__(self, in_features, out_features, bias=True, ...
read articleQuantum ML models for periodic, spherical, and 3-D rotational data
In the a previous post about quantum variational inference on polynomial models, I showed how you can infer expectation values & uncertainties of discrete random variables E\mathscr{E}E by...
read articleProbabilistic quantum predictions via variational methods
Uncertainty is a fundamental of every day life – and not just in that we don’t know who’s gonna win the next election, or whether it will rain, or how long until the next bus comes. I mean that down...
read articleBayesian inference in quantum chemistry
Small introduction In the field of computational quantum chemistry, scientists model molecules using foundational physical models like density functional theory. These methods are electronic, which...
read articleCommon utilities for creating gifs from a series of pngs
Part – How to save file suffixes with decimal places Part I How to tar a directory. Part II How to do a gif convert with transparent...
read articleA simple post
Bees are Black, with Gilt Surcingles — Buccaneers of Buzz. Ride abroad in ostentation And subsist on Fuzz. Fuzz ordained — not Fuzz contingent — Marrows of the Hill. Jugs — a Universe’s fracture Could...
read articlePrintemps Prose
A prompt — executive Bird is the Jay — Bold as a Bailiff’s Hymn — Brittle and Brief in quality — Warrant in every line — Sitting a Bough like a Brigadier Confident and straight — Much is the mien of...
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