Tootfinder

And please don't forget to visit the 2min video from last Saturday's hike into the #mountains .
Feel free to follow my peertube-account as well: @…

Automated Algorithmic Discovery for Gravitational-Wave Detection Guided by LLM-Informed Evolutionary Monte Carlo Tree Search
He Wang, Liang Zeng
https://arxiv.org/abs/2508.03661

Automated Algorithmic Discovery for Gravitational-Wave Detection Guided by LLM-Informed Evolutionary Monte Carlo Tree Search
Computational scientific discovery increasingly relies on algorithms to process complex data and identify meaningful patterns - yet faces persistent challenges in gravitational-wave signal identification. While existing algorithmic approaches like matched filtering (MF) and deep neural networks (DNNs) have achieved partial success, their limitations directly stem from fundamental limitations: MF's excessive computational demands arise from its reliance on predefined theoretical waveform templat…

PDRs4All XIV: CH radical and $H_3^ $ molecular ion in the irradiated protoplanetary disk d203-506
I. Schroetter, O. Bern\'e, J. R. Goicoechea, J. H. Black, O. Roncero, F. Alarcon, P. Amiot, O. Asvany, C. Boersma, S. Br\"unken, J. Cami, L. Coudert, E. Dartois, A. Fuente, B. Gans, A. Gusdorf, U. Jacovella, M. A. Martin Drumel, T. Onaka, E. Peeters, E. Roueff, A. G. G. M. Tielens, M. Zannese

PDRs4All XIV: CH radical and $H_3^+$ molecular ion in the irradiated protoplanetary disk d203-506
Most protoplanetary disks experience a phase in which they are subjected to strong ultraviolet radiation from nearby massive stars. This UV radiation can substantially alter their chemistry by producing numerous radicals and molecular ions. In this Letter we present detailed analysis of the JWST-NIRSpec spectrum of the d203-506 obtained as part of the PDRs4All Early Release Science program. Using state-of-the-art spectroscopic data, we searched for species using a multi-molecule fitting tool, P…

#Phototagging in #Portbou at the Walter Benjamin Memorial above the cliffs next to the cemetery. The phototag shows a shot of one of the beaches in Banyuls-sur-mer (France), from where #refugees reached the border tow…

SSIMBaD: Sigma Scaling with SSIM-Guided Balanced Diffusion for AnimeFace Colorization
Junpyo Seo (Department of Computer Science, Seoul National University), Hanbin Koo (Department of Computer Science, Seoul National University), Jieun Yook (Department of Computer Science, Seoul National University), Byung-Ro Moon (Department of Computer Science, Seoul National University)
…

SSIMBaD: Sigma Scaling with SSIM-Guided Balanced Diffusion for AnimeFace Colorization
We propose a novel diffusion-based framework for automatic colorization of Anime-style facial sketches. Our method preserves the structural fidelity of the input sketch while effectively transferring stylistic attributes from a reference image. Unlike traditional approaches that rely on predefined noise schedules - which often compromise perceptual consistency -- our framework builds on continuous-time diffusion models and introduces SSIMBaD (Sigma Scaling with SSIM-Guided Balanced Diffusion). …

IMUCoCo: Enabling Flexible On-Body IMU Placement for Human Pose Estimation and Activity Recognition
Haozhe Zhou, Riku Arakawa, Yuvraj Agarwal, Mayank Goel
https://arxiv.org/abs/2508.01894

IMUCoCo: Enabling Flexible On-Body IMU Placement for Human Pose Estimation and Activity Recognition
IMUs are regularly used to sense human motion, recognize activities, and estimate full-body pose. Users are typically required to place sensors in predefined locations that are often dictated by common wearable form factors and the machine learning model's training process. Consequently, despite the increasing number of everyday devices equipped with IMUs, the limited adaptability has seriously constrained the user experience to only using a few well-explored device placements (e.g., wrist and …

Generalizing Verifiable Instruction Following
Valentina Pyatkin, Saumya Malik, Victoria Graf, Hamish Ivison, Shengyi Huang, Pradeep Dasigi, Nathan Lambert, Hannaneh Hajishirzi
https://arxiv.org/abs/2507.02833

Generalizing Verifiable Instruction Following
A crucial factor for successful human and AI interaction is the ability of language models or chatbots to follow human instructions precisely. A common feature of instructions are output constraints like ``only answer with yes or no" or ``mention the word `abrakadabra' at least 3 times" that the user adds to craft a more useful answer. Even today's strongest models struggle with fulfilling such constraints. We find that most models strongly overfit on a small set of verifiable constraints from …

A Resonant Beginning for the Solar System Terrestrial Planets
Shuo Huang, Chris Ormel, Simon Portegies Zwart, Eiichiro Kokubo, Tian Yi
https://arxiv.org/abs/2506.04164

A Resonant Beginning for the Solar System Terrestrial Planets
In the past two decades, transit surveys have revealed a class of planets with thick atmospheres -- sub-Neptunes -- that must have completed their accretion in protoplanet disks. When planets form in the gaseous disk, the gravitational interaction with the disk gas drives their migration and results in the trapping of neighboring planets in mean motion resonances, though these resonances can later be broken when the damping effects of disk gas or planetesimals wane. It is widely accepted that t…

This https://arxiv.org/abs/2504.04864 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_sta…

Statistical parametric simulation studies based on real data
Simulation studies are indispensable for evaluating and comparing statistical methods. The most common simulation approach is parametric simulation, where the data-generating mechanism (DGM) corresponds to a predefined parametric model from which observations are drawn. Many statistical simulation studies aim to provide practical recommendations on a method's suitability for a given application; however, parametric simulations in particular are frequently criticized for being too simplistic and…

This channel is an unofficial mirror of Bernadette Banner’s YouTube content. It is not affiliated with or endorsed by Bernadette Banner and may be removed if she requests.
She is one of my favorite creators on YouTube, so I’ve synchronized and published her videos on PeerTube, while the rest is currently being transcoded and should be available by tomorrow!