Tootfinder

This https://arxiv.org/abs/2506.02976 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCV_…

Deep Learning for Retinal Degeneration Assessment: A Comprehensive Analysis of the MARIO AMD Progression Challenge
The MARIO challenge, held at MICCAI 2024, focused on advancing the automated detection and monitoring of age-related macular degeneration (AMD) through the analysis of optical coherence tomography (OCT) images. Designed to evaluate algorithmic performance in detecting neovascular activity changes within AMD, the challenge incorporated unique multi-modal datasets. The primary dataset, sourced from Brest, France, was used by participating teams to train and test their models. The final ranking wa…

This https://arxiv.org/abs/2506.01644 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

A Budgeted Multi-Level Monte Carlo Method for Full Field Estimates of Multi-PDE Problems
We present a high-performance budgeted multi-level Monte Carlo method for estimates on the entire spatial domain of multi-PDE problems with random input data. The method is designed to operate optimally within memory and CPU-time constraints and eliminates the need for a priori knowledge of the problem's regularity and the algorithm's potential memory demand. To achieve this, we build on the budgeted multi-level Monte Carlo framework and enhance it with a sparse multi-index update algorithm ope…

This https://arxiv.org/abs/2411.18970 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

FiRe: Fixed-points of Restoration Priors for Solving Inverse Problems
Selecting an appropriate prior to compensate for information loss due to the measurement operator is a fundamental challenge in imaging inverse problems. Implicit priors based on denoising neural networks have become central to widely-used frameworks such as Plug-and-Play (PnP) algorithms. In this work, we introduce Fixed-points of Restoration (FiRe) priors as a new framework for expanding the notion of priors in PnP to general restoration models beyond traditional denoising models. The key ins…

Evolutionary model for energy trading in community microgrids using Hawk-Dove strategies
Viorica Rozina Chifu, Tudor Cioara, Cristina Bianca Pop, Ionut Anghel
https://arxiv.org/abs/2506.06325

Evolutionary model for energy trading in community microgrids using Hawk-Dove strategies
This paper proposes a decentralized model of energy cooperation between microgrids, in which decisions are made locally, at the level of the microgrid community. Each microgrid is modeled as an autonomous agent that adopts a Hawk or Dove strategy, depending on the level of energy stored in the battery and its role in the energy trading process. The interactions between selling and buying microgrids are modeled through an evolutionary algorithm. An individual in the algorithm population is repre…

Superlinear Drift in Consensus-Based Optimization with Condensation Phenomena
Jonathan Franceschi, Lorenzo Pareschi, Mattia Zanella
https://arxiv.org/abs/2506.09001

Superlinear Drift in Consensus-Based Optimization with Condensation Phenomena
Consensus-based optimization (CBO) is a class of metaheuristic algorithms designed for global optimization problems. In the many-particle limit, classical CBO dynamics can be rigorously connected to mean-field equations that ensure convergence toward global minimizers under suitable conditions. In this work, we draw inspiration from recent extensions of the Kaniadakis--Quarati model for indistinguishable bosons to develop a novel CBO method governed by a system of SDEs with superlinear drift an…

Someday, I want to erase everything and vanish offline, I’ve said it before and I’ll say it again.
I’m sick of being trapped in this endless cycle of digital puppetry and mental sludge, where every click feeds some shallow algorithm designed to keep you hooked and dumbed down, turning people into another batch of screen-zombies chasing cheap hits and empty dopamine hits.
I want out of this rat race of constant noise and manufactured crises, where reality is warped into a carnival…

Game Theory in Social Media: A Stackelberg Model of Collaboration, Conflict, and Algorithmic Incentives
Arjan Khadka
https://arxiv.org/abs/2506.05373 https…

Game Theory in Social Media: A Stackelberg Model of Collaboration, Conflict, and Algorithmic Incentives
Social media platforms are ecosystems in which many decisions are constantly made for the benefit of the creators in order to maximize engagement, which leads to a maximization of income. The decisions, ranging from collaboration to public conflict or ``beefing,'' are heavily influenced by social media algorithms, viewer preferences, and sponsor risk. This paper models this interaction as a Stackelberg game in which the algorithm is the leader, setting exposure and reward rules, and the content…

What Demands Attention in Urban Street Scenes? From Scene Understanding towards Road Safety: A Survey of Vision-driven Datasets and Studies
Yaoqi Huang, Julie Stephany Berrio, Mao Shan, Stewart Worrall
https://arxiv.org/abs/2507.06513

What Demands Attention in Urban Street Scenes? From Scene Understanding towards Road Safety: A Survey of Vision-driven Datasets and Studies
Advances in vision-based sensors and computer vision algorithms have significantly improved the analysis and understanding of traffic scenarios. To facilitate the use of these improvements for road safety, this survey systematically categorizes the critical elements that demand attention in traffic scenarios and comprehensively analyzes available vision-driven tasks and datasets. Compared to existing surveys that focus on isolated domains, our taxonomy categorizes attention-worthy traffic entit…

Combinatorial Algorithm for Tropical Linearly Factorized Programming
Yuki Nishida
https://arxiv.org/abs/2507.07596 https://arxiv.org/…

Combinatorial Algorithm for Tropical Linearly Factorized Programming
The tropical semiring is a set of numbers $\mathbb{R}\cup\{-\infty\}$ with addition $a\oplus b:=\max(a,b)$ and multiplication $a\otimes b:=a+b$. As well as in conventional algebra, linear programming problem in the tropical semiring has been developed. In this study, we introduce a new type of tropical optimization problem, namely, tropical linearly factorized programming problem. This problem involves minimizing the objective function given by the product of tropical linear forms $c_{k,1}\otim…

THOR: Thermal-guided Hand-Object Reasoning via Adaptive Vision Sampling
Soroush Shahi, Farzad Shahabi, Rama Nabulsi, Glenn Fernandes, Aggelos Katsaggelos, Nabil Alshurafa
https://arxiv.org/abs/2507.06442

THOR: Thermal-guided Hand-Object Reasoning via Adaptive Vision Sampling
Wearable cameras are increasingly used as an observational and interventional tool for human behaviors by providing detailed visual data of hand-related activities. This data can be leveraged to facilitate memory recall for logging of behavior or timely interventions aimed at improving health. However, continuous processing of RGB images from these cameras consumes significant power impacting battery lifetime, generates a large volume of unnecessary video data for post-processing, raises privac…