Tootfinder

this netart wont lead u to firm conclusions about how schizo or chud or larper the creator is. in fact, its core beneath the rancid collages is a deep bitter resentful rage with the entire modern internet, the way everything is made to look and talk and be, something i ultimately resonate with.
https://divinicide.neocities.org/

"Mit KI (Elicit) den Forschungsstand beschreiben – ein kritischer Erfahrungsbericht" @ Blog "Sozialwissenschaftliche Methodenberatung":
https://sozmethode.hypotheses.org/2943

War toll beim DGNet Kongress dabei gewesen zu sein - nochmal danke @… für die nette Einladung
Thoroughly enjoyed myself at the DGNet conference in Bayreuth presenting my work on social and spatial networks
#NetzwerkForschung

An entropy formula for the Deep Linear Network
Govind Menon, Tianmin Yu
https://arxiv.org/abs/2509.09088 https://arxiv.org/pdf/2509.09088

An entropy formula for the Deep Linear Network
We study the Riemannian geometry of the Deep Linear Network (DLN) as a foundation for a thermodynamic description of the learning process. The main tools are the use of group actions to analyze overparametrization and the use of Riemannian submersion from the space of parameters to the space of observables. The foliation of the balanced manifold in the parameter space by group orbits is used to define and compute a Boltzmann entropy. We also show that the Riemannian geometry on the space of obs…

RepViT-CXR: A Channel Replication Strategy for Vision Transformers in Chest X-ray Tuberculosis and Pneumonia Classification
Faisal Ahmed
https://arxiv.org/abs/2509.08234 https:/…

RepViT-CXR: A Channel Replication Strategy for Vision Transformers in Chest X-ray Tuberculosis and Pneumonia Classification
Chest X-ray (CXR) imaging remains one of the most widely used diagnostic tools for detecting pulmonary diseases such as tuberculosis (TB) and pneumonia. Recent advances in deep learning, particularly Vision Transformers (ViTs), have shown strong potential for automated medical image analysis. However, most ViT architectures are pretrained on natural images and require three-channel inputs, while CXR scans are inherently grayscale. To address this gap, we propose RepViT-CXR, a channel replicatio…

Reduction Techniques for Survival Analysis
Johannes Piller, L\'ea Orsini, Simon Wiegrebe, John Zobolas, Lukas Burk, Sophie Hanna Langbein, Philip Studener, Markus Goeswein, Andreas Bender
https://arxiv.org/abs/2508.05715

Reduction Techniques for Survival Analysis
In this work, we discuss what we refer to as reduction techniques for survival analysis, that is, techniques that "reduce" a survival task to a more common regression or classification task, without ignoring the specifics of survival data. Such techniques particularly facilitate machine learning-based survival analysis, as they allow for applying standard tools from machine and deep learning to many survival tasks without requiring custom learners. We provide an overview of different reduction …

Embedding Empathy into Visual Analytics: A Framework for Person-Centred Dementia Care
Rhiannon Owen, Jonathan C. Roberts
https://arxiv.org/abs/2509.08548 https://

Embedding Empathy into Visual Analytics: A Framework for Person-Centred Dementia Care
Dementia care requires healthcare professionals to balance a patient's medical needs with a deep understanding of their personal needs, preferences, and emotional cues. However, current digital tools prioritise quantitative metrics over empathetic engagement,limiting caregivers ability to develop a deeper personal understanding of their patients. This paper presents an empathy centred visualisation framework, developed through a design study, to address this gap. The framework integrates establ…

WHEE, first video about Meshtastic devices published! (Just had to help my editor get access to Nextcloud and he whipped it up in no time.)
https://www.youtube.com/watch?v=ZXnTJYol34Q
We talk about the Heltec V3, Lilygo T-Deck Pro, Seeed T1000-E tracker card, and Seeed…

KI-Update Deep-Dive feat. They Talk Tech: Prompt Injections
KI-Agenten sollen unseren Alltag organisieren und uns Arbeit abnehmen. Doch eine Angriffsmethode namens Prompt Injection macht die Sprachmodelle manipulierbar.

Design and Implementation of Code Completion System Based on LLM and CodeBERT Hybrid Subsystem
Bingbing Zhang, Ziyu Lin, Yingxin Su
https://arxiv.org/abs/2509.08215 https://

Design and Implementation of Code Completion System Based on LLM and CodeBERT Hybrid Subsystem
In the rapidly evolving industry of software development, coding efficiency and accuracy play significant roles in delivering high-quality software. Various code suggestion and completion tools, such as CodeBERT from Microsoft and GPT-3.5 from OpenAI, have been developed using deep learning techniques and integrated into IDEs to assist software engineers' development. Research has shown that CodeBERT has outstanding performance in code summarization and capturing code semantics, while GPT-3.5 d…