Tootfinder

There are days when autism feels overwhelming, and I find myself oversharing every thought and feeling that comes to mind.
But then, just as suddenly, my mood can shift. I’ll feel a surge of energy and want to shake things up.
That’s when I dive into my collection of anarchism memes and start posting my latest finds for everyone to enjoy!
We are here, unapologetically autistic and proud, and we refuse to be silenced!

Good Morning #Canada
Today is "taking a break from packing up the house and going golfing day." Did you know there are over 2,200 golf facilities in Canada, with 90% of those being public. That means golf remains accessible and it's becoming less expensive to get started with lower cost starter sets and growth in the used club marketplace. Here are the top 50 public and private courses as ranked by Canadian PGA members.
#CanadaIsAwesome #Golf
https://golftalkcanada.com/pga-of-canada-top-100/

This https://arxiv.org/abs/2505.17836 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_sta…

Robust Distributed Estimation: Extending Gossip Algorithms to Ranking and Trimmed Means
This paper addresses the problem of robust estimation in gossip algorithms over arbitrary communication graphs. Gossip algorithms are fully decentralized, relying only on local neighbor-to-neighbor communication, making them well-suited for situations where communication is constrained. A fundamental challenge in existing mean-based gossip algorithms is their vulnerability to malicious or corrupted nodes. In this paper, we show that an outlier-robust mean can be computed by globally estimating …

This https://arxiv.org/abs/2506.01135 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

$\text{TREX}^2$: Dual-Reconstruction Framework for Teleoperated-Robot with EXtended Reality
Robot teleoperation with extended reality (XR teleoperation) enables intuitive interaction by allowing remote robots to mimic user motions with real-time 3D feedback. However, existing systems face significant motion-to-motion (M2M) latency--the delay between the user's latest motion and the corresponding robot feedback--leading to high teleoperation error and mission completion time. This issue stems from the system's exclusive reliance on network communication, making it highly vulnerable to …

This https://arxiv.org/abs/2407.04562 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

An SDE Perspective on Stochastic Inertial Gradient Dynamics with Time-Dependent Viscosity and Geometric Damping
Our approach is part of the close link between continuous dissipative dynamical systems and optimization algorithms. We aim to solve convex minimization problems by means of stochastic inertial differential equations which are driven by the gradient of the objective function. This will provide a general mathematical framework for analyzing fast optimization algorithms with stochastic gradient input. Our study is a natural extension of our previous work devoted to the first-order in time stochas…

This https://arxiv.org/abs/2504.21059 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

A remark on the number of automorphisms of some algebraic structures
In these notes we look at the following question. Given a category $\mathcal C$ of algebraic structure (e.g. the category of groups, monoids, partial groups, ...) and a rational $r\in \mathbb Q$, does there exists an element $x\in \mathcal C$ such that the size of its automorphism group $\text{Aut}_{\mathcal C} (x)$ divided by the size of $x$ (whatever that would means) is equal to $r$\,? To our knowledge, this question was introduced by Tărnăuceanu in the category of groups. Here, we answer …

Complexity and Manipulation of International Kidney Exchange Programmes with Country-Specific Parameterss
Rachael Colley, David Manlove, Daniel Paulusma, Mengxiao Zhang
https://arxiv.org/abs/2506.04092

Complexity and Manipulation of International Kidney Exchange Programmes with Country-Specific Parameterss
Kidney Exchange Programmes (KEPs) facilitate the exchange of kidneys, and larger pools of recipient-donor pairs tend to yield proportionally more transplants, leading to the proposal of international KEPs (IKEPs). However, as studied by \citet{mincu2021ip}, practical limitations must be considered in IKEPs to ensure that countries remain willing to participate. Thus, we study IKEPs with country-specific parameters, represented by a tuple $Γ$, restricting the selected transplants to be feasible…

This https://arxiv.org/abs/2505.24159 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

A Causation-Based Framework for Pricing and Cost Allocation of Energy, Reserves, and Transmission in Modern Power Systems
The increasing vulnerability of power systems has heightened the need for operating reserves to manage contingencies such as generator outages, line failures, and sudden load variations. Unlike energy costs, driven by consumer demand, operating reserve costs arise from addressing the most critical credible contingencies - prompting the question: how should these costs be allocated through efficient pricing mechanisms? As an alternative to previously reported schemes, this paper presents a new c…

Inverse elastic obstacle scattering problems by monotonicity method
Mengjiao Bai, Huaian Diao, Weisheng Zhou
https://arxiv.org/abs/2506.04655 https://

Inverse elastic obstacle scattering problems by monotonicity method
We consider the elastic wave scattering problem involving rigid obstacles. This work addresses the inverse problem of reconstructing the position and shape of such obstacles using far-field measurements. A novel monotonicity-based approach is developed for this purpose. By factorizing the far-field operator and utilizing the existence of localized wave functions, we derive a shape characterization criterion for the obstacle boundary. The proposed method employs monotonicity tests to determine t…

Lions and Muons: Optimization via Stochastic Frank-Wolfe
Maria-Eleni Sfyraki, Jun-Kun Wang
https://arxiv.org/abs/2506.04192 https://a…

Lions and Muons: Optimization via Stochastic Frank-Wolfe
Stochastic Frank-Wolfe is a classical optimization method for solving constrained optimization problems. On the other hand, recent optimizers such as Lion and Muon have gained quite significant popularity in deep learning. In this work, we provide a unifying perspective by interpreting these seemingly disparate methods through the lens of Stochastic Frank-Wolfe. Specifically, we show that Lion and Muon with weight decay can be viewed as special instances of a Stochastic Frank-Wolfe, and we esta…