Tootfinder

GlyphWeaver: Unlocking Glyph Design Creativity with Uniform Glyph DSL and AI
Can Liu, Shiwei Chen, Zhibang Jiang, Yong Wang
https://arxiv.org/abs/2509.08444 https://

GlyphWeaver: Unlocking Glyph Design Creativity with Uniform Glyph DSL and AI
Expressive glyph visualizations provide a powerful and versatile means to represent complex multivariate data through compact visual encodings, but creating custom glyphs remains challenging due to the gap between design creativity and technical implementation. We present GlyphWeaver, a novel interactive system to enable an easy creation of expressive glyph visualizations. Our system comprises three key components: a glyph domain-specific language (GDSL), a GDSL operation management mechanism, …

AnalysisGNN: Unified Music Analysis with Graph Neural Networks
Emmanouil Karystinaios, Johannes Hentschel, Markus Neuwirth, Gerhard Widmer
https://arxiv.org/abs/2509.06654 https…

AnalysisGNN: Unified Music Analysis with Graph Neural Networks
Recent years have seen a boom in computational approaches to music analysis, yet each one is typically tailored to a specific analytical domain. In this work, we introduce AnalysisGNN, a novel graph neural network framework that leverages a data-shuffling strategy with a custom weighted multi-task loss and logit fusion between task-specific classifiers to integrate heterogeneously annotated symbolic datasets for comprehensive score analysis. We further integrate a Non-Chord-Tone prediction modu…

I chose a new home for my blogging and articles:
#DigitalMigration

Migrating Stuff
changing the place I blog, post articles and...stuff So I've chosen stuff.davidaugust.com as my new custom domain for this site. Setting up a custom domain with ghost, the software running this site, is pretty straightforward. I did it a few minutes ago and already can now access

Has anyone gotten the #Hetzner Object Storage working with a custom domain (Reverse Proxy)?
I followed the instructions but getting access denied via the ReverseProxy while it's working directly with cURL. :boost_ok:

My friend as moved his main domain from .nl to .eu , Interesting move.
#Apple #iPhone

Beamformed 360{\deg} Sound Maps: U-Net-Driven Acoustic Source Segmentation and Localization
Belman Jahir Rodriguez, Sergio F. Chevtchenko, Marcelo Herrera Martinez, Yeshwant Bethy, Saeed Afshar
https://arxiv.org/abs/2508.00307

Beamformed 360° Sound Maps: U-Net-Driven Acoustic Source Segmentation and Localization
We introduce a U-net model for 360° acoustic source localization formulated as a spherical semantic segmentation task. Rather than regressing discrete direction-of-arrival (DoA) angles, our model segments beamformed audio maps (azimuth and elevation) into regions of active sound presence. Using delay-and-sum (DAS) beamforming on a custom 24-microphone array, we generate signals aligned with drone GPS telemetry to create binary supervision masks. A modified U-Net, trained on frequency-domain re…

Transfer Learning for Neutrino Scattering: Domain Adaptation with GANs
Jose L. Bonilla, Krzysztof M. Graczyk, Artur M. Ankowski, Rwik Dharmapal Banerjee, Beata E. Kowal, Hemant Prasad, Jan T. Sobczyk
https://arxiv.org/abs/2508.12987

Transfer Learning for Neutrino Scattering: Domain Adaptation with GANs
We utilize transfer learning to extrapolate the physics knowledge encoded in a Generative Adversarial Network (GAN) model trained on synthetic charged-current (CC) neutrino-carbon inclusive scattering data. This base model is adapted to generate CC inclusive scattering events (lepton kinematics only) for neutrino-argon and antineutrino-carbon interactions. Furthermore, we assess the effectiveness of transfer learning in re-optimizing a custom model when new data comes from a different neutrino-…

Flexible Vector Integration in Embedded RISC-V SoCs for End to End CNN Inference Acceleration
Dmitri Lyalikov
https://arxiv.org/abs/2507.17771 https://arxi…

Flexible Vector Integration in Embedded RISC-V SoCs for End to End CNN Inference Acceleration
The emergence of heterogeneity and domain-specific architectures targeting deep learning inference show great potential for enabling the deployment of modern CNNs on resource-constrained embedded platforms. A significant development is the diversification of custom hardware solely targeting the most expensive parts of CNNs. DLAs (deep learning accelerators) and NPUs (neural processing units), among others, can overcome the approaching limits of traditional silicon scaling and provide a solution…

@… is/will there ever be a way to set a custom bluesky domain in wafrn?

@… is/will there ever be a way to set a custom bluesky domain in wafrn?