Papers
Research papers from arXiv and related sources
Requirements Volatility in Software Architecture Design: An Exploratory Case Study
Requirements volatility is a major issue in software (SW) development, causing problems such as project delays and cost overruns. Even though there is a considerable amount of research related to r...
Sanja Aaramaa, Sandun Dasanayake, Markku Oivo, Jouni Markkula, Samuli Saukkonen
DSS-GAN: Directional State Space GAN with Mamba backbone for Class-Conditional Image Synthesis
We present DSS-GAN, the first generative adversarial network to employ Mamba as a hierarchical generator backbone for noise-to-image synthesis. The central contribution is Directional Latent Routin...
Aleksander Ogonowski, Konrad Klimaszewski, Przemysław Rokita
On the validity limits of the parametrisation method for invariant manifolds: an assessment of practical criteria for vibrating systems
The parametrisation method for invariant manifolds is a powerful technique for deriving reduced-order models in the context of nonlinear vibrating systems, allowing accurate computations of nonline...
André de Figueiredo Stabile, Aurélien Grolet, Alessandra Vizzaccaro, Cyril Touzé
An optimal control approach to nonlinear wave speed selection in reaction-diffusion equations
Travelling wave solutions of reaction-diffusion equations are widely used to model the spatial spread of populations and other phenomena in biology and physics. In this article, we reinterpret the ...
Rebecca M. Crossley, Carles Falco, Ruth E. Baker
Zero entropy cycles on trees: from Topology to Combinatorics and an application to star maps
In this paper we give a fully combinatorial description of the zero entropy periodic patterns on trees. Unlike previously known characterizations of such patterns, our criterion is independent of a...
D. Juher, F. Mañosas, D. Rojas
One-Step Sampler for Boltzmann Distributions via Drifting
We present a drifting-based framework for amortized sampling of Boltzmann distributions defined by energy functions. The method trains a one-step neural generator by projecting samples along a Gaus...
Wenhan Cao, Keyu Yan, Lin Zhao
Forecasting Sensitivity to Modified Dispersion Effects in Pulsar Timing Arrays
The pulsar timing array systems have reported a detection of a nanohertz-band stochastic gravitational wave background in our galaxy. It is of interest to use this observation to probe modified gra...
Jonathan Grée, Qiuyue Liang, Elisa G. M. Ferreira
Data-Driven Estimation of Vinnicombe metric
Quantifying model mismatch in a control-relevant manner is fundamental in robust control. A well-known metric for this purpose is the $ν$-gap, or Vinnicombe metric, which measures the discrepancy b...
Margarita A. Guerrero, Henrik Sandberg, Cristian R. Rojas
Anisotropic Permeability Tensor Prediction from Porous Media Microstructure via Physics-Informed Progressive Transfer Learning with Hybrid CNN-Transformer
Accurate prediction of permeability tensors from pore-scale microstructure images is essential for subsurface flow modeling, yet direct numerical simulation requires hours per sample, fundamentally...
Mohammad Nooraiepour
Photonuclear reactions on stable isotopes of cadmium and tellurium at bremsstrahlung end-point energies of 10-23 MeV
This work used the γ-activation approach to conduct tests at bremsstrahlung end-point energies of 10-23 MeV utilising the MT-25 microtron beam. The experimental values of relative yields and cross ...
F. A. Rasulova, A. A. Kuznetsov, V. O. Nesterenko, J. H. Khushvaktov, S. I. Alekseev, N. Yu. Furs...
Translation Invariance of Neural Operators for the FitzHugh-Nagumo Model
Neural Operators (NOs) are a powerful deep learning framework designed to learn the solution operator that arise from partial differential equations. This study investigates NOs ability to capture ...
Luca Pellegrini
QuantFL: Sustainable Federated Learning for Edge IoT via Pre-Trained Model Quantisation
Federated Learning (FL) enables privacy-preserving intelligence on Internet of Things (IoT) devices but incurs a significant carbon footprint due to the high energy cost of frequent uplink transmis...
Charuka Herath, Yogachandran Rahulamathavan, Varuna De Silva, Sangarapillai Lambotharan
Adaptive near-contact repulsion in conservative Allen-Cahn phase-field lattice Boltzmann multiphase model
Unresolved thin-film dynamics often causes spurious coalescence in diffuse-interface simulations of multiphase flows. We address this issue by introducing a fully local repulsive near-contact flux ...
Andrea Montessori, Maria Rosa Lisboa, Marco Lauricella, Sauro Succi
A New Fractional Step Structure Preserving Method for The Landau-Lifshitz-Gilbert Equation
In this paper, we propose a structure preserving method using a Crank-Nicolson's type method with an implicit Gauss-Seidel fractional iteration. Such a method is of first-order accuracy in time and...
Changjian Xie
Entrainment of magnetic fluid by a moving boundary of a plane gap
A fluid mechanics problem is solved which technological prototype is a fluid acoustic contact that is an inherent element of ultrasonic non-destructive testing procedures. It is well known that the...
Denis S. Goldobin, Yuriy L. Raikher
Why the Future Is Not Trading: Causally Inert Events as a Test for Time Travelers
We present an empirical argument against the existence of single timeline backward time travel using the price behavior of prediction markets. If rational agents could travel backward in time, bina...
David Awad
SafeLand: Safe Autonomous Landing in Unknown Environments with Bayesian Semantic Mapping
Autonomous landing of uncrewed aerial vehicles (UAVs) in unknown, dynamic environments poses significant safety challenges, particularly near people and infrastructure, as UAVs transition to routin...
Markus Gross, Andreas Greiner, Sai Bharadhwaj Matha, Felix Soest, Daniel Cremers, Henri Meeß
Towards Motion-aware Referring Image Segmentation
Referring Image Segmentation (RIS) requires identifying objects from images based on textual descriptions. We observe that existing methods significantly underperform on motion-related queries comp...
Chaeyun Kim, Seunghoon Yi, Yejin Kim, Yohan Jo, Joonseok Lee
A Cycle-Based Solvability Condition for Real Power Flow Equations
The solvability condition of the power flow equation is important in operational planning and control as it guarantees the existence and uniqueness of a solution for a given set of power injections...
Puskar Neupane, Bai Cui
OmniVLN: Omnidirectional 3D Perception and Token-Efficient LLM Reasoning for Visual-Language Navigation across Air and Ground Platforms
Language-guided embodied navigation requires an agent to interpret object-referential instructions, search across multiple rooms, localize the referenced target, and execute reliable motion toward ...
Zhongyuang Liu, Min He, Shaonan Yu, Xinhang Xu, Muqing Cao, Jianping Li, Jianfei Yang, Lihua Xie