Tootfinder

SwissGPC v1.0 -- The Swiss German Podcasts Corpus
Samuel Stucki, Mark Cieliebak, Jan Deriu
https://arxiv.org/abs/2509.19866 https://arxiv.org/pdf/2509.1986…

SwissGPC v1.0 -- The Swiss German Podcasts Corpus
We present SwissGPC v1.0, the first mid-to-large-scale corpus of spontaneous Swiss German speech, developed to support research in ASR, TTS, dialect identification, and related fields. The dataset consists of links to talk shows and podcasts hosted on Schweizer Radio und Fernsehen and YouTube, which contain approximately 5400 hours of raw audio. After segmentation and weak annotation, nearly 5000 hours of speech were retained, covering the seven major Swiss German dialect regions alongside Stan…

Modeling of Dark Matter Prompt and Secondary Signatures in Dwarf Galaxies
Athithya Aravinthan (Ruhr University Bochum, Faculty of Physics and Astronomy, Plasma-Astroparticle Physics, Bochum, Germany, Ruhr Astroparticle and Plasma Physics Center), Julien D\"orner (Ruhr University Bochum, Faculty of Physics and Astronomy, Plasma-Astroparticle Physics, Bochum, Germany, Ruhr Astroparticle and Plasma Physics Center), Julia Becker Tjus (Ruhr University Bochum, Faculty of Physics and Ast…

Modeling of Dark Matter Prompt and Secondary Signatures in Dwarf Galaxies
Dwarf Spheroidal (dSph) galaxies are very promising laboratories for the indirect search for dark matter (DM), due to their low astrophysical background in radio and gamma-ray frequencies. This is convenient when considering Weakly Interacting Dark Matter (WIMP) that can annihilate and produce radio continuum emission. Radio detections of dSph galaxies, however, prove to be difficult and motivate the consideration of transient galaxies that have just recently become quiescent. For the past se…

Multilingual Hope Speech Detection: A Comparative Study of Logistic Regression, mBERT, and XLM-RoBERTa with Active Learning
T. O. Abiola, K. D. Abiodun, O. E. Olumide, O. O. Adebanji, O. Hiram Calvo, Grigori Sidorov
https://arxiv.org/abs/2509.20315

Multilingual Hope Speech Detection: A Comparative Study of Logistic Regression, mBERT, and XLM-RoBERTa with Active Learning
Hope speech language that fosters encouragement and optimism plays a vital role in promoting positive discourse online. However, its detection remains challenging, especially in multilingual and low-resource settings. This paper presents a multilingual framework for hope speech detection using an active learning approach and transformer-based models, including mBERT and XLM-RoBERTa. Experiments were conducted on datasets in English, Spanish, German, and Urdu, including benchmark test sets from …

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Refashion: Reconfigurable Garments via Modular Design
Rebecca Lin, Michal Luk\'a\v{c}, Mackenzie Leake
https://arxiv.org/abs/2510.11941 https://arxiv.o…

Refashion: Reconfigurable Garments via Modular Design
While bodies change over time and trends vary, most store-bought clothing comes in fixed sizes and styles and fails to adapt to these changes. Alterations can enable small changes to otherwise static garments, but these changes often require sewing and are non-reversible. We propose a modular approach to garment design that considers resizing, restyling, and reuse earlier in the design process. Our contributions include a compact set of modules and connectors that form the building blocks of mo…

Towards Fast Coarse-graining and Equation Discovery with Foundation Inference Models
Manuel Hinz, Maximilian Mauel, Patrick Seifner, David Berghaus, Kostadin Cvejoski, Ramses J. Sanchez
https://arxiv.org/abs/2510.12618

Towards Fast Coarse-graining and Equation Discovery with Foundation Inference Models
High-dimensional recordings of dynamical processes are often characterized by a much smaller set of effective variables, evolving on low-dimensional manifolds. Identifying these latent dynamics requires solving two intertwined problems: discovering appropriate coarse-grained variables and simultaneously fitting the governing equations. Most machine learning approaches tackle these tasks jointly by training autoencoders together with models that enforce dynamical consistency. We propose to decou…

AvatarVTON: 4D Virtual Try-On for Animatable Avatars
Zicheng Jiang, Jixin Gao, Shengfeng He, Xinzhe Li, Yulong Zheng, Zhaotong Yang, Junyu Dong, Yong Du
https://arxiv.org/abs/2510.04822

AvatarVTON: 4D Virtual Try-On for Animatable Avatars
We propose AvatarVTON, the first 4D virtual try-on framework that generates realistic try-on results from a single in-shop garment image, enabling free pose control, novel-view rendering, and diverse garment choices. Unlike existing methods, AvatarVTON supports dynamic garment interactions under single-view supervision, without relying on multi-view garment captures or physics priors. The framework consists of two key modules: (1) a Reciprocal Flow Rectifier, a prior-free optical-flow correctio…

PyPSA-DE: Open-source German energy system model reveals savings from integrated planning
Michael Lindner, Julian Geis, Toni Seibold, Tom Brown
https://arxiv.org/abs/2510.09414 …

PyPSA-DE: Open-source German energy system model reveals savings from integrated planning
Germany has set an ambitious target of reaching net zero greenhouse gas emissions by 2045. We explore how integrated cross-sectoral planning can reduce costs compared to existing national plans. Our new linear optimization model PyPSA-DE simulates the electricity and hydrogen transmission networks, as well as supply, demand, and storage in all sectors of the energy system in Germany and its neighboring countries with high spatial and temporal resolution. While our new model shows strong electri…

Influence of Platinum Thin Films on the Photophysical and Quantum Properties of Near-Surface NV Centers
Joachim P. Leibold (Department of Chemistry, School of Natural Sciences, Technical University of Munich, Garching, Germany), Lina M. Todenhagen (Walter Schottky Institute, Technical University of Munich, Garching, Germany), Matthias Althammer (Walther-Mei{\ss}ner-Institute, Bavarian Academy of Sciences and Humanities, Garching, Germany), Nikhita Khera (Department of Physics and Resea…

Influence of Platinum Thin Films on the Photophysical and Quantum Properties of Near-Surface NV Centers
Nitrogen-vacancy (NV) centers in diamond are optically addressable spin defects with great potential for nanoscale quantum sensing. A key application of NV centers is the detection of external spins at the diamond surface. Among metals, platinum thin films - widely used in spintronics, catalysis and electrochemistry - provide a particularly interesting system for such studies. However, the interaction between NV centers and metals is known to affect their quantum sensing capabilities. In this w…

Ground Stratification for a Logic of Definitions with Induction
Nathan Guermond (University of Minnesota), Gopalan Nadathur (University of Minnesota)
https://arxiv.org/abs/2510.12297

Ground Stratification for a Logic of Definitions with Induction
The logic underlying the Abella proof assistant includes mechanisms for interpreting atomic predicates through fixed point definitions that can additionally be treated inductively or co-inductively. However, the original formulation of the logic includes a strict stratification condition on definitions that is too restrictive for some applications such as those that use a logical relations based approach to semantic equivalence. Tiu has shown how this restriction can be eased by utilizing a wea…