Tootfinder

Join Andrew Musselman and Trevor Grant as they present the latest developments in Mahout's new quantum compute layer, Qumat. They will provide an overview of the project, explain why Qumat was developed, and demonstrate its current capabilities. They will also present a demo of Qumat in action and conclude with calls to action for researchers and engineers who are interested in using and contributing to the project.
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Series A, Episode 06 - Seek-Locate-Destroy
RONTANE: With respect, Supreme Commander, we are aware of the facts. They are simply that with all the resources that the Federation can call upon, this one vulnerable, lucky man is still free to cause havoc.
SERVALAN: You have some criticism of my handling of this matter, Secretary Rontane?
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Companion site to the Blakes7Bot Twitter, Mastodon, and Bluesky accounts. Automated lines of Blakes 7 dialog. Includes a script search facility.

A Logic For Fresh Labelled Transition Systems
Mohamed H Bandukara, Nikos Tzevelekos
https://arxiv.org/abs/2506.14538 https://arxiv.or…

A Logic For Fresh Labelled Transition Systems
We introduce a Hennessy-Milner logic with recursion for Fresh Labelled Transition Systems (FLTSs). These are nominal labelled transition systems which keep track of the history, i.e. of data values seen so far, and can capture fresh data generation. In particular, FLTSs generalise the computations of Fresh-Register Automata, which in turn are one of the simplest classes of history-dependent automata operating on infinite input alphabets. Each automaton comes equipped with a finite set of regist…

The Rayleigh-Boltzmann equation with shear deformations in the hyperbolic-dominated regime
Nicola Miele, Alessia Nota, Juan J. L. Vel\'azquez
https://arxiv.org/abs/2506.15449 …

The Rayleigh-Boltzmann equation with shear deformations in the hyperbolic-dominated regime
In this paper we consider a particular class of solutions of the Rayleigh-Boltzmann equation, known in the nonlinear setting as homoenergetic solutions, which have the form $g\left( x,v,t \right) =f\left( v-L\left( t\right)x,t\right)$ where the matrix $L(t)$ describes a shear flow deformation. We began this analysis in [22] where we rigorously proved the existence of a stationary non-equilibrium solution and established the different behaviour of the solutions for small and large values of the …

This https://arxiv.org/abs/2506.01696 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

Missing Data in Signal Processing and Machine Learning: Models, Methods and Modern Approaches
The goal of this tutorial is to provide an overview of recent methods for handling missing data in signal processing methods, from their origins to the challenges ahead. Missing data approaches are grouped by three main categories: i) missing-data imputation, ii) estimation with missing values and iii) prediction with missing values. We focus on methodological and experimental results through specific case studies on real-world applications. Promising and future research directions, including a…

Missing Data in Signal Processing and Machine Learning: Models, Methods and Modern Approaches
A. Hippert-Ferrer, A. Sportisse, A. Javaheri, M. N. El Korso, D. P. Palomar
https://arxiv.org/abs/2506.01696

Missing Data in Signal Processing and Machine Learning: Models, Methods and Modern Approaches
The goal of this tutorial is to provide an overview of recent methods for handling missing data in signal processing methods, from their origins to the challenges ahead. Missing data approaches are grouped by three main categories: i) missing-data imputation, ii) estimation with missing values and iii) prediction with missing values. We focus on methodological and experimental results through specific case studies on real-world applications. Promising and future research directions, including a…