Tootfinder

A happy Japanese pun from
https://www.reddit.com/r/golang/comments/1jyr6ci/transitioning_from_oop/mn5zgcd/
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Fun fact from Japan! We have a saying "郷に入っては郷に従え" (gō ni itte wa gō ni shitagae) which is our version of "when in Rome, do as the Romans do." Here "郷" (gō) means "village" or "hometown" - equivalent to "Rome" in the English proverb.
The funny part - in Japanese, "郷" (gō) sounds exactly like "Go"! So Go programmers here often joke: "Goに入ってはGoに従え" (Go ni itte wa Go ni shitagae) or "When in Go-land, follow Go's ways." A perfect bilingual pun that just works!

Set-valued regression and cautious suboptimization: From noisy data to optimality
Jaap Eising, Jorge Cortes
https://arxiv.org/abs/2506.07622 https://

Set-valued regression and cautious suboptimization: From noisy data to optimality
This paper deals with the problem of finding suboptimal values of an unknown function on the basis of measured data corrupted by bounded noise. As a prior, we assume that the unknown function is parameterized in terms of a number of basis functions. Inspired by the informativity approach, we view the problem as the suboptimization of the worst-case estimate of the function. The paper provides closed form solutions and convexity results for this function, which enables us to solve the problem. A…

Accurate analysis of the pitch pulse-based magnitude/phase structure of natural vowels and assessment of three lightweight time/frequency voicing restoration methods
An\'ibal J. S. Ferreira, Luis M. T. Jesus, Laurentino M. M. Leal, Jorge E. F. Spratley
https://arxiv.org/abs/2506.06675

Accurate analysis of the pitch pulse-based magnitude/phase structure of natural vowels and assessment of three lightweight time/frequency voicing restoration methods
Whispered speech is produced when the vocal folds are not used, either intentionally, or due to a temporary or permanent voice condition. The essential difference between natural speech and whispered speech is that periodic signal components that exist in certain regions of the former, called voiced regions, as a consequence of the vibration of the vocal folds, are missing in the latter. The restoration of natural speech from whispered speech requires delicate signal processing procedures that …

Adaptive stable distribution and Hurst exponent by method of moments moving estimator for nonstationary time series
Jarek Duda
https://arxiv.org/abs/2506.05354

Adaptive stable distribution and Hurst exponent by method of moments moving estimator for nonstationary time series
Nonstationarity of real-life time series requires model adaptation. In classical approaches like ARMA-ARCH there is assumed some arbitrarily chosen dependence type. To avoid their bias, we will focus on novel more agnostic approach: moving estimator, which estimates parameters separately for every time $t$: optimizing $F_t=\sum_{τ

Landgenoten en mede-aardbewoners, was het niet heerlijk om in de rode mensenmassa te lopen gisteren?
#rodelijn
The people
United
Will Never Be Defeated

Sampling Bayesian probabilities given only sampled priors
Gary Bernstein, William Assignies Doumerg, Michael A. Troxel, Alex Alarcon, Alexandra Amon, Giulia Giannini, Boyan Yin, Sahar Allam, Felipe Andrade-Oliveira, David Brooks, Aurelio Carnero Rosell, Jorge Carretero, Luiz da Costa, Maria Elidaiana da Silva Pereira, Juan De Vicente, Spencer Everett, Josh Frieman, Juan Garcia-Bellido, Daniel Gruen, Samuel Hinton, Devon L. Hollowood, Klaus Honscheid, David James, Sujeong Lee, Jennifer …

Sampling Bayesian probabilities given only sampled priors
A typical Bayesian inference on the values of some parameters of interest $q$ from some data $D$ involves running a Markov Chain (MC) to sample from the posterior $p(q,n | D) \propto \mathcal{L}(D | q,n) p(q) p(n),$ where $n$ are some nuisance parameters. In many cases, the nuisance parameters are high-dimensional, and their prior $p(n)$ is itself defined only by a set of samples that have been drawn from some other MC. Two problems arise: first, the MC for the posterior will typicall…

VO$_2$ oscillator circuits optimized for ultrafast, 100 MHz-range operation
Zsigmond Pollner, T\'imea N\'ora T\"or\"ok, L\'aszl\'o P\'osa, Mikl\'os Csontos, Sebastian Werner Schmid, Zolt\'an Balogh, Andr\'as B\"ukkfejes, Heungsoo Kim, Alberto Piqu\'e, Jeurg Leuthold, J\'anos Volk, Andr\'as Halbritter

VO$_2$ oscillator circuits optimized for ultrafast, 100 MHz-range operation
Oscillating neural networks are promising candidates for a new computational paradigm, where complex optimization problems are solved by physics itself through the synchronization of coupled oscillating circuits. Nanoscale VO$_2$ Mott memristors are particularly promising building blocks for such oscillating neural networks. Until now, however, not only the maximum frequency of VO$_2$ oscillating neural networks, but also the maximum frequency of individual VO$_2$ oscillators has been severely …