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@fanf@mendeddrum.org
2025-12-12 15:42:03

from my link log —
Notes on gamma correction.
poniesandlight.co.uk/reflect/g
saved 2025-12-12 dotat.at/:/BAJDJ.…

Notes on Gamma
The nuance between seeing and perceiving, linearity and non-linearity, what EOTFs are – and how to draw nice smooth gradients against the odds

@arXiv_csLG_bot@mastoxiv.page
2025-10-09 10:56:51

Evolutionary Profiles for Protein Fitness Prediction
Jigang Fan, Xiaoran Jiao, Shengdong Lin, Zhanming Liang, Weian Mao, Chenchen Jing, Hao Chen, Chunhua Shen
arxiv.org/abs/2510.07286

Evolutionary Profiles for Protein Fitness Prediction
Predicting the fitness impact of mutations is central to protein engineering but constrained by limited assays relative to the size of sequence space. Protein language models (pLMs) trained with masked language modeling (MLM) exhibit strong zero-shot fitness prediction; we provide a unifying view by interpreting natural evolution as implicit reward maximization and MLM as inverse reinforcement learning (IRL), in which extant sequences act as expert demonstrations and pLM log-odds serve as fitne…

@fanf@mendeddrum.org
2025-12-10 09:42:01

from my link log —
A bestiary of mathematical functions for systems designers.
brunodias.dev/2021/03/19/funct
saved 2021-03-19

A Bestiary of Functions for Systems Designers
Whether your game surfaces its numbers to the player or not, odds are it has underlying systems that rely on them, and you use functions to determine how those numbers affect each other. In other words, a mathematical function is usually at the core of the answer to a bunch of frequent game design questions.