Papers
Research papers from arXiv and related sources
In-Context Symbolic Regression for Robustness-Improved Kolmogorov-Arnold Networks
Symbolic regression aims to replace black-box predictors with concise analytical expressions that can be inspected and validated in scientific machine learning. Kolmogorov-Arnold Networks (KANs) ar...
Francesco Sovrano, Lidia Losavio, Giulia Vilone, Marc Langheinrich
Investigating How Neighbourhood Scores Reflect Forecast Error
Meaningful scores for forecast verification are essential for developing reliable forecasts, and there has been much effort to develop scores that align well with human perceptions of forecast qual...
Bobby Antonio
Molecular gas and star formation in GASP jellyfish galaxies
Several studies have reported a nearly linear correlation between the molecular gas and star formation rate surface density, the so-called Kennicutt-Schmidt (KS) law. We aim to retrieve the KS rela...
A. Moretti, R. Paladino, C. Bacchini, A. Marasco, E. Giunchi, B. M. Poggianti, L. K. Hunt, T. Deb...
Towards physically more comprehensive AGN modelling in cosmological simulations: A MACER-based modification of IllustrisTNG
Active galactic nuclei (AGN) feedback plays a significant role in many aspects of galaxy formation and evolution and has become a key ingredient in cosmological simulations. However, the subgrid mo...
Bocheng Zhu, Volker Springel, Feng Yuan
Tracking the Discriminative Axis: Dual Prototypes for Test-Time OOD Detection Under Covariate Shift
For reliable deployment of deep-learning systems, out-of-distribution (OOD) detection is indispensable. In the real world, where test-time inputs often arrive as streaming mixtures of in-distributi...
Wooseok Lee, Jin Mo Yang, Saewoong Bahk, Hyung-Sin Kim
The effects of polarization on the observables in the decay $Ξ_{cc}^{++} \rightarrow Ξ_{c}^{+} \bar{\ell}ν_{\ell}$
We investigate the effects of polarization on several physical observables in the semileptonic decay $Ξ_{cc}^{++} \rightarrow Ξ_c^{+} \bar{\ell}ν_{\ell}$. We analyze the polarization effects of the...
Qazi Maaz Us Salam, Anamta Asif, Ishtiaq Ahmed, Rizwan Khalid
Joint Routing and Model Pruning for Decentralized Federated Learning in Bandwidth-Constrained Multi-Hop Wireless Networks
Decentralized federated learning (D-FL) enables privacy-preserving training without a central server, but multi-hop model exchanges and aggregation are often bottlenecked by communication resource ...
Xiaoyu He, Weicai Li, Tiejun Lv, Xi Yu
Viaggiu holographic dark energy in light of DESI DR2
We test the cosmological viability of the Viaggiu holographic dark energy (VHDE) model by using late-time observational data. In particular, we place constraints on the free parameters of the model...
Amlan K. Halder, Andronikos Paliathanasis, Stefano Viaggiu, Abdulla Al Mamon, Subhajit Saha
Question-guided Visual Compression with Memory Feedback for Long-Term Video Understanding
In the context of long-term video understanding with large multimodal models, many frameworks have been proposed. Although transformer-based visual compressors and memory-augmented approaches are o...
Sosuke Yamao, Natsuki Miyahara, Yuankai Qi, Shun Takeuchi
ANNA: a toolbox for Newtonian Noise Analysis
The Einstein Telescope (ET) is a third-generation underground gravitational wave observatory designed to achieve an unprecedented sensitivity down to 3 Hz. Waves propagating in the soil due to anth...
Pieter Reumers, Xhorxha Kucia, Stijn François, Geert Degrande
Storage and selection of multiple chaotic attractors in minimal reservoir computers
Modern predictive modeling increasingly calls for a single learned dynamical substrate to operate across multiple regimes. From a dynamical-systems viewpoint, this capability decomposes into the st...
Francesco Martinuzzi, Holger Kantz
Vision-Language Model Based Multi-Expert Fusion for CT Image Classification
Robust detection of COVID-19 from chest CT remains challenging in multi-institutional settings due to substantial source shift, source imbalance, and hidden test-source identities. In this work, we...
Jianfa Bai, Kejin Lu, Runtian Yuan, Qingqiu Li, Jilan Xu, Junlin Hou, Yuejie Zhang, Rui Feng
Indirect Question Answering in English, German and Bavarian: A Challenging Task for High- and Low-Resource Languages Alike
Indirectness is a common feature of daily communication, yet is underexplored in NLP research for both low-resource as well as high-resource languages. Indirect Question Answering (IQA) aims at cla...
Miriam Winkler, Verena Blaschke, Barbara Plank
Next-Frame Decoding for Ultra-Low-Bitrate Image Compression with Video Diffusion Priors
We present a novel paradigm for ultra-low-bitrate image compression (ULB-IC) that exploits the ``temporal'' evolution in generative image compression. Specifically, we define an explicit intermedia...
Yunuo Chen, Chuqin Zhou, Jiangchuan Li, Xiaoyue Ling, Bing He, Jincheng Dai, Li Song, Guo Lu
How Attention Shapes Emotion: A Comparative Study of Attention Mechanisms for Speech Emotion Recognition
Speech Emotion Recognition (SER) plays a key role in advancing human-computer interaction. Attention mechanisms have become the dominant approach for modeling emotional speech due to their ability ...
Marc Casals-Salvador, Federico Costa, Rodolfo Zevallos, Javier Hernando
Generalized Tadmor Conditions and Structure-Preserving Numerical Fluxes for the Compressible Flow of Real Gases
We generalize Tadmor's algebraic numerical flux condition for entropy-conservative discretizations of conservation laws to a broader class of secondary structures, i.e. possibly non-convex secondar...
Robin Klein, Benjamin Sanderse, Pedro Costa, Rene Pecnik, Ruud Henkes
Sampling-guided exploration of active feature selection policies
Determining the most appropriate features for machine learning predictive models is challenging regarding performance and feature acquisition costs. In particular, global feature choice is limited ...
Gabriel Bernardino, Anders Jonsson, Patrick Clarysse, Nicolas Duchateau
Identifying Topological Differences in Two Populations of Random Geometric Objects
We propose a statistical framework to identify topological differences in two populations of random geometric objects. The proposed framework involves first associating a topological signature with...
Satish Kumar, Subhra Sankar Dhar
Luminosity-Temperature Relation as a Probe for Modified Gravity
We investigate the luminosity-temperature ($L$-$T$) relation of galaxy clusters as a probe for testing modified gravity (MG) theories, focusing on $f(R)$ gravity and symmetron models. Using an impr...
Antonino Del Popolo, Saeed Fakhry, David F. Mota
On the equivalence between additive and linear codes
Additive codes have attracted considerable attention for their potential to outperform linear codes. However, distinguishing strictly additive codes from those that are equivalent to linear codes r...
Kanat Abdukhalikov, Duy Ho