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A Morphology-Adaptive Random Feature Method for Inverse Source Problem of the Helmholtz Equation
Xinwei Hu, Jingrun Chen, Haijun Yu
https://arxiv.org/abs/2510.09213 https://

A Morphology-Adaptive Random Feature Method for Inverse Source Problem of the Helmholtz Equation
The inverse source problem for the Helmholtz equation poses significant challenges, particularly when sources exhibit complex or discontinuous geometries. Traditional numerical methods suffer from prohibitive computational costs, while machine learning-based approaches such as Physics-Informed Neural Networks (PINNs) and the Random Feature Method (RFM) -- though computationally efficient for inverse problems -- lack the intrinsic machinery to handle the sharp morphological features in such sing…

Der Mauerfall 1989 hat mich gelehrt:
Selbst wenn die Lage krass hoffnungslos aussieht, ist immer auch eine völlig überwältigende Wende zum Guten möglich.
Und natürlich: Immer passieren auch Fehler. Immer hätte man es im Nachhinein besser machen können.
Aber diese Freude, dass systembedingt Eingesperrte nach wochenlangen Kerzen, Gebeten und Demonstrationen voller Disziplin ihre Freiheit errungen haben, werde ich nie mehr aus meinem Herzen bringen.

High-Fidelity Synthetic ECG Generation via Mel-Spectrogram Informed Diffusion Training
Zhuoyi Huang, Nutan Sahoo, Anamika Kumari, Girish Kumar, Kexuan Cai, Shixing Cao, Yue Kang, Tian Xia, Somya Chatterjee, Nicholas Hausman, Aidan Jay, Eric S. Rosenthal, Soundar Srinivasan, Sadid Hasan, Alex Fedorov, Sulaiman Vesal, Soundar Srinivasan, Sadid Hasan, Alex Fedorov, Sulaiman Vesal

High-Fidelity Synthetic ECG Generation via Mel-Spectrogram Informed Diffusion Training
The development of machine learning for cardiac care is severely hampered by privacy restrictions on sharing real patient electrocardiogram (ECG) data. Although generative AI offers a promising solution, the real-world use of existing model-synthesized ECGs is limited by persistent gaps in trustworthiness and clinical utility. In this work, we address two major shortcomings of current generative ECG methods: insufficient morphological fidelity and the inability to generate personalized, patient…

Linking Young Stellar Object Morphology to Evolutionary Stages with Self-Organizing Maps
David Hernandez, Odysseas Dionatos, Marc Audard, G\'abor Marton, Julia Roquette, Ilknur Gezer, M\'at\'e Madar\'asz, Kai L. Polsterer
https://arxiv.org/abs/2509.19069

Linking Young Stellar Object Morphology to Evolutionary Stages with Self-Organizing Maps
Studies in the past few decades have investigated young stellar object evolution based on their spectral energy distribution (SED). The SED is heavily influenced not only by evolutionary stage, but also the morphology of the young star. This work is part of the NEMESIS project which is aiming to revisit star formation with the aid of machine learning techniques and provides the framework for this work. In a first effort towards a novel spectro-morphological classification we analyzed young stel…

Impact of Cosmic Filaments on Galaxy Morphological Evolution and Predictions of Early Cosmic Web Structure for Roman
Farhanul Hasan, Haowen Zhang, Viraj Pandya, Marc Rafelski, Joseph N. Burchett, Douglas Hellinger, Kalina V. Nedkova, Ilias Goovaerts, Nir Mandelker, Daisuke Nagai, Grecco A. Oyarz\'un, Joel R. Primack, Joanna Woo
https://

Impact of Cosmic Filaments on Galaxy Morphological Evolution and Predictions of Early Cosmic Web Structure for Roman
We leverage the IllustrisTNG cosmological simulations to test how the large-scale cosmic web shapes galaxy morphology and to forecast the early cosmic web structure that the Nancy Grace Roman Space Telescope will reveal. In the hydrodynamic TNG50 and $N$-body TNG50-Dark runs, we reconstruct the cosmic web at redshifts $z=0$, 0.5, 1, 2, 3, and 4 with the Monte Carlo Physarum Machine density estimator and the DisPerSE structure identification framework. We confirm that dark matter halos start out…

1FLAT: a Firmamento-based catalog of AGN in Fermi-LAT high Galactic latitude {\gamma}-ray sources
P. Giommi, M. Doro, M. Gouv\^ea, L. Fronte, F. Metruccio, F. Arneodo, U. Barres de Almeida, S. Di Pippo, T. Kerscher, A. Macci\'o, B. Mazzon, M. Morrone, E. Prandini, A. Rodr\'iguez, A. Ruina, N. Sahakyan, L. Silveri, D. Tripathi
https://

1FLAT: a Firmamento-based catalog of AGN in Fermi-LAT high Galactic latitude γ-ray sources
We present a systematic reassessment of 5,062 high-Galactic latitude gamma-ray sources from the Fermi-LAT 4FGL-DR4 catalog using Firmamento, a web-based platform for multi-frequency source discovery and analysis. Our goal is to provide an independent evaluation of LAT gamma-ray source associations through alternative spectral and spatial methods that combine recent and legacy survey data, supplemented by human supervision of spectral energy distributions (SEDs), source morphology, flux variabil…

Replaced article(s) found for cs.LG. https://arxiv.org/list/cs.LG/new
[7/7]:
- Morphlux: Transforming Torus Fabrics for Efficient Multi-tenant ML
Abhishek Vijaya Kumar, Eric Ding, Arjun Devraj, Rachee Singh

Revisiting 3C 279 jet morphology with space VLBI at 26 microarcsecond resolution
Teresa Toscano, Jos\'e L. G\'omez, Guang-Yao Zhao, Rocco Lico, Antonio Fuentes, Tuomas Savolainen, Jan R\"oder, Maciek Wielgus, B. Alexander Pushkarev, Efthalia Traianou, Ai-Ling Zeng, I. Leonid Gurvits, Y. Yuri Kovalev, M. Felix P\"otzl, Mikhail Lisakov
https://

Revisiting 3C 279 jet morphology with space VLBI at 26 microarcsecond resolution
We present observations of the blazar 3C 279 at 22 GHz using the space VLBI mission RadioAstron on 2018 January 15. Images in both total intensity and fractional polarization are reconstructed using RML method implemented in the eht-imaging library. The electric vector position angles are found to be mostly aligned with the general jet direction, suggesting a predominantly toroidal magnetic field, in agreement with the presence of a helical magnetic field. Ground-space fringes were detected up …

Investigating the Bulge Morphology of Dual AGN Host Galaxies from the GOTHIC survey
C. P. Nehal (Department of Physics, Indian Institute of Science Education and Research, Bhopal, India), Mousumi Das (Indian Institute of Astrophysics, Bangalore, India), Sudhanshu Barway (Indian Institute of Astrophysics, Bangalore, India), Francoise Combes (Observatoire de Paris, LERMA, College ` de France, PSL University, Sorbonne University, CNRS, Paris, France), Prerana Biswas (Indian Institute of A…

Investigating the Bulge Morphology of Dual AGN Host Galaxies from the GOTHIC survey
We present a structural analysis of bulges in dual active galactic nuclei (AGN) host galaxies. Dual AGN arise in galaxy mergers where both supermassive black holes (SMBHs) are actively accreting. The AGN are typically embedded in compact bulges, which appear as luminous nuclei in optical images. Galaxy mergers can result in bulge growth, often via star formation. The bulges can be disky (pseudobulges), classical bulges, or belong to elliptical galaxies. Using SDSS DR18 gri images and GALFIT mod…