Tootfinder

JWST imaging of omega Centauri: II. Evidence for a split white dwarf cooling sequence in the near-infrared
M. Scalco (Indiana University), M. Salaris (Liverpool John Moores University, INAF-OAAb), L. R. Bedin (INAF-OAPD), S. Blouin (University of Victoria), E. Vesperini (Indiana University), P. Bergeron (University of Montreal), M. Libralato (INAF-OAPD), M. Griggio (STScI), A. Burgasser (UniCA SanDiego), D. Nardiello (UniPD, INAF-OAPD), A. Bellini (STScI), J. Anderson (STScI), R. Geras…

JWST imaging of omega Centauri: II. Evidence for a split white dwarf cooling sequence in the near-infrared
We present a detailed analysis of the white dwarf cooling sequence (WD CS) in omega Centauri based on combined Hubble Space Telescope (HST) and JWST observations. Our analysis confirms the previously reported split - based on HST observations in ultraviolet filters - in the upper part of the WD CS, consistent with the presence of two distinct WD populations, and extends it to a significantly fainter and cooler limit (down to ~8000 K), corresponding to cooling ages of about 1 Gyr. We used artifi…

Ahhja. An mehreren Stellen wurden die Kleidercontailer in Klarsichtfolie eingepackt und per Schild gesperrt. Hat da etwa jemand nicht genug Personal für die Leerung und jetzt zu oft wegen "das läuft über" auf den Deckel bekommen?

[BLOG] Ranttime: SPAM https://www.adlerweb.info/blog/2025/11/23/ranttime-spam/

FedLoDrop: Federated LoRA with Dropout for Generalized LLM Fine-tuning
Sijing Xie, Dingzhu Wen, Changsheng You, Qimei Chen, Mehdi Bennis, Kaibin Huang
https://arxiv.org/abs/2510.12078

FedLoDrop: Federated LoRA with Dropout for Generalized LLM Fine-tuning
Fine-tuning (FT) large language models (LLMs) is crucial for adapting general-purpose models to specific tasks, enhancing accuracy and relevance with minimal resources. To further enhance generalization ability while reducing training costs, this paper proposes Federated LoRA with Dropout (FedLoDrop), a new framework that applies dropout to the rows and columns of the trainable matrix in Federated LoRA. A generalization error bound and convergence analysis under sparsity regularization are obta…

llvm has some incredible option names
disable arm... lol, oops

NLDSI-BWE: Non Linear Dynamical Systems-Inspired Multi Resolution Discriminators for Speech Bandwidth Extension
Tarikul Islam Tamiti, Anomadarshi Barua
https://arxiv.org/abs/2510.01109

NLDSI-BWE: Non Linear Dynamical Systems-Inspired Multi Resolution Discriminators for Speech Bandwidth Extension
In this paper, we design two nonlinear dynamical systems-inspired discriminators -- the Multi-Scale Recurrence Discriminator (MSRD) and the Multi-Resolution Lyapunov Discriminator (MRLD) -- to \textit{explicitly} model the inherent deterministic chaos of speech. MSRD is designed based on Recurrence representations to capture self-similarity dynamics. MRLD is designed based on Lyapunov exponents to capture nonlinear fluctuations and sensitivity to initial conditions. Through extensive design opt…