Papers
Research papers from arXiv and related sources
A comparative numerical study of graph-based splitting algorithms for linear subspaces
In this note, we test the performance of six algorithms from the family of graph-based splitting methods [SIAM J. Optim., 34 (2024), pp. 1569-1594] specialized to normal cones of linear subspaces. ...
Francisco J. Aragón-Artacho, Rubén Campoy, Irene López-Larios, César López-Pastor
Constraint-Aware Generative Re-ranking for Multi-Objective Optimization in Advertising Feeds
Optimizing reranking in advertising feeds is a constrained combinatorial problem, requiring simultaneous maximization of platform revenue and preservation of user experience. Recent generative rank...
Chenfei Li, Hantao Zhao, Weixi Yao, Ruiming Huang, Rongrong Lu, Geng Tian, Dongying Kong
Statistical Topological Gradient and Shape Optimization for Robust Metal--Semiconductor Contact Reconstruction
We develop a statistically robust framework for reconstructing metal--semiconductor contact regions using topological gradients. The inverse problem is formulated as the identification of an unknow...
Lekbir Afraites, Aissam Hadri, Mourad Hrizi, Julius Fergy Tiongson Rabago
Alfvén wave propagation in the partially ionized lower solar atmosphere: a test of the single-fluid approximation
Alfvén waves are widely believed to play an important role in the transport of energy from the solar photosphere to the corona through the partially ionized chromosphere. In previous work, the prop...
Roberto Soler
A Non-Abelian Approach to Riemann Surfaces
We develop a non-abelian, gauge-theoretic framework for the Schwarzian derivative and for second-order differential equations on Riemann surfaces. As applications, we extend Dedekind's Schwarzian a...
Mehrzad Ajoodanian
Irradiation Studies of TGC Electronics Components for the ATLAS Experiment at High-Luminosity LHC
This paper evaluates the radiation tolerance of commercial off-the-shelf (COTS) electronics components for use in the Thin Gap Chamber (TGC) frontend electronics of the ATLAS experiment at the High...
Yuya Ohsumi, Daisuke Hashimoto, Yasuyuki Horii, Takumi Aoki, Haruka Asada, Kazumasa Hashizume, Ha...
When to restart? Exploring escalating restarts on convergence
Learning rate scheduling plays a critical role in the optimization of deep neural networks, directly influencing convergence speed, stability, and generalization. While existing schedulers such as ...
Ayush K. Varshney, Šarūnas Girdzijauskas, Konstantinos Vandikas, Aneta Vulgarakis Feljan
Testing Full Mediation of Treatment Effects and the Identifiability of Causal Mechanisms
In causal analysis, understanding the causal mechanisms through which an intervention or treatment affects an outcome is often of central interest. We propose a test to evaluate (i) whether the cau...
Martin Huber, Kevin Kloiber, Lukáš Lafférs
A Random Rule Model
We propose a Random Rule Model (RRM) in which behavior is generated by switching among a small library of transparent, parameter-free decision rules. A differentiable gate learns environment-depend...
Avner Seror
Characterizing Machine Learning Force Fields as Emerging Molecular Dynamics Workloads on Graphics Processing Units
Molecular dynamics (MD) simulates the time evolution of atomic systems governed by interatomic forces, and the fidelity of these simulations depends critically on the underlying force model. Classi...
Udari De Alwis, Benjamin E. Mayer, Tom J. Ashby, Maria Barrera, Timon Evenblij, Joyjit Kundu
The Steiner Tree Problem: Novel QUBO Formulation and Quantum Annealing Implementation
The Steiner Tree Problem (STP) is a well-known NP-hard combinatorial optimization problem, which has wide applications in network design, integrated circuit layout, bioinformatics, and other fields...
Dan Li, Xiang-Hui Wu, Ji-Rong Liu
Features of Spacetime-Symmetry Breaking and the Standard-Model Extension in Riemann-Cartan Geometry
For over two decades, the gravity sector of the Standard-Model Extension (SME) has served as a phenomenological framework for testing spacetime symmetry breaking in the presence of gravity. During ...
Robert Bluhm
Modified-gradient methods for exact divergence-free in meshless magnetohydrodynamics
We present a novel gradient regularization to completely eliminate the magnetic divergence error in meshless magnetohydrodynamics (MHD), which offers a high spatial resolution and conservative adva...
Xiongbiao Tu, Qiao Wang, Liang Gao, Yifa Tang
Dose-Dependent Cardiac Complexity Changes in Children Following Prenatal Glucocorticoid Exposure: Complementary Evidence from Multiscale Entropy Analysis and ECG Foundation Models
\noindent\textbf{Background} Prenatal glucocorticoid exposure alters cardiac development, but whether persistent cardiac effects in childhood follow a dose-response relationship remains unknown. We...
Nicolas B. Garnier, Michelle Dreiling, Valeska Kozik, Matthias Schwab, Florian Rakers, Martin G F...
SaFeR: Safety-Critical Scenario Generation for Autonomous Driving Test via Feasibility-Constrained Token Resampling
Safety-critical scenario generation is crucial for evaluating autonomous driving systems. However, existing approaches often struggle to balance three conflicting objectives: adversarial criticalit...
Jinlong Cui, Fenghua Liang, Guo Yang, Chengcheng Tang, Jianxun Cui
Fermi-Dirac thermal measurements: A framework for quantum hypothesis testing and semidefinite optimization
Quantum measurements are the means by which we recover messages encoded into quantum states. They are at the forefront of quantum hypothesis testing, wherein the goal is to perform an optimal measu...
Nana Liu, Mark M. Wilde
Morphologies for DECaLS Galaxies through a combination of non-parametric indices and machine learning methods: A comprehensive catalog using the Galaxy Morphology Extractor (galmex) code
Galaxy morphology encodes key information about formation and evolution. Large imaging surveys require automated, reproducible methods beyond visual inspection. Non--parametric indices provide an u...
V. M. Sampaio, Y. Jaffé, C. Lima-Dias, S. Véliz Astudillo, M. Martínez-Marín, H. Méndez-Hernández...
On the generalized circular projected Cauchy distribution
\cite{tsagris2025a} proposed the generalized circular projected Cauchy distribution, whose special case is the wrapped Cauchy distribution. In this paper we first derive the relationship with the w...
Omar Alzeley, Michail Tsagris
Map-Agnostic And Interactive Safety-Critical Scenario Generation via Multi-Objective Tree Search
Generating safety-critical scenarios is essential for validating the robustness of autonomous driving systems, yet existing methods often struggle to produce collisions that are both realistic and ...
Wenyun Li, Zejian Deng, Chen Sun
LoRA-MME: Multi-Model Ensemble of LoRA-Tuned Encoders for Code Comment Classification
Code comment classification is a critical task for automated software documentation and analysis. In the context of the NLBSE'26 Tool Competition, we present \textbf{LoRA-MME}, a Multi-Model Ensemb...
Md Akib Haider, Ahsan Bulbul, Nafis Fuad Shahid, Aimaan Ahmed, Mohammad Ishrak Abedin