Papers
Research papers from arXiv and related sources
Exploring How Fair Model Representations Relate to Fair Recommendations
One of the many fairness definitions pursued in recent recommender system research targets mitigating demographic information encoded in model representations. Models optimized for this definition ...
Bjørnar Vassøy, Benjamin Kille, Helge Langseth
Adaptive decision-making for stochastic service network design
This paper addresses the Service Network Design (SND) problem for a logistics service provider (LSP) operating in a multimodal freight transport network, considering uncertain travel times and limi...
Javier Duran Micco, Bilge Atasoy
Aluminum solidification and nanopolycrystal deformation via a Graph Neural Network Potential and Million-Atom Simulations
Solidification governs the microstructure and, therefore, the mechanical response of metal components, yet the atomistic details of nucleation and defect formation are often difficult to determine ...
Ian Störmer, Julija Zavadlav
Effects of the initial-state geometry on D-meson production in pp and pPb collisions
Going from lower to higher multiplicity events in proton-proton and proton-lead collisions, the data show a stronger than linear growth of the D-meson normalized yields. In this contribution we try...
R. Terra, A. V. Giannini, F. S. Navarra
Lyman-$α$ Forest Constraint on Dark Matter from Dark Sector Decay
By exploiting small-scale structure formation probed by Lyman-$α$ forest observations, we study constraints on a model of dark matter from dark sector decay. We compute the phase space distribution...
Si-Yuan Zhao, Yi-Cheng Dai, Wei Liao, Yi-Song Lu
Samasāmayik: A Parallel Dataset for Hindi-Sanskrit Machine Translation
We release Samasāmayik, a novel, meticulously curated, large-scale Hindi-Sanskrit corpus, comprising 92,196 parallel sentences. Unlike most data available in Sanskrit, which focuses on classical er...
N J Karthika, Keerthana Suryanarayanan, Jahanvi Purohit, Ganesh Ramakrishnan, Jitin Singla, Anil ...
Multi-dimensional third-order time-implicit scheme for conservation laws
When dealing with stiff conservation laws, explicit time integration forces to employ very small time steps, due to the restrictive CFL stability condition. Implicit methods offer an alternative, y...
Alessandra Zappa, Matteo Semplice
VERIA: Verification-Centric Multimodal Instance Augmentation for Long-Tailed 3D Object Detection
Long-tail distributions in driving datasets pose a fundamental challenge for 3D perception, as rare classes exhibit substantial intra-class diversity yet available samples cover this variation spac...
Jumin Lee, Siyeong Lee, Namil Kim, Sung-Eui Yoon
Graph-Theoretic Analysis of Residual Generation Under Computational Constraints
A unified structural framework is presented for model-based fault diagnosis that explicitly incorporates both fault locations and constraints imposed by the residual generation methodology. Buildin...
Jan Åslund
Uncertainty Quantification of Spline Predictors on Compact Riemannian Manifolds
To predict smooth physical phenomena from observations, spline interpolation provides an interpretable framework by minimizing an energy functional associated with the Laplacian operator. This work...
Charlie Sire, Mike Pereira
Memory-Augmented Vision-Language Agents for Persistent and Semantically Consistent Object Captioning
Vision-Language Models (VLMs) often yield inconsistent descriptions of the same object across viewpoints, hindering the ability of embodied agents to construct consistent semantic representations o...
Tommaso Galliena, Stefano Rosa, Tommaso Apicella, Pietro Morerio, Alessio Del Bue, Lorenzo Natale
Deletion Does Not Measure Contribution in Coupled-Channel Dynamics
In projected descriptions of quantum dynamics, the importance of an eliminated degree of freedom is routinely assessed by deleting it and measuring the system's response. This conflates two effects...
Jin Lei, Hao Liu
Can hot water discharged from industrial processes enhance the likelihood of waterspouts?
Italy and the surrounding seas are recognised as one of the European hotspots for tornadoes and waterspouts. In recent years, the town of Rosignano Solvay (on the Northern Tyrrhenian coast) experie...
Valerio Capecchi, Bernardo Gozzini, Mario Marcello Miglietta
Attack Assessment and Augmented Identity Recognition for Human Skeleton Data
Machine learning models trained on small data sets for security applications are especially vulnerable to adversarial attacks. Person identification from LiDAR based skeleton data requires time con...
Joseph G. Zalameda, Megan A. Witherow, Alexander M. Glandon, Jose Aguilera, Khan M. Iftekharuddin
Variation is the Norm: Embracing Sociolinguistics in NLP
In Natural Language Processing (NLP), variation is typically seen as noise and "normalised away" before processing, even though it is an integral part of language. Conversely, studying language var...
Anne-Marie Lutgen, Alistair Plum, Verena Blaschke, Barbara Plank, Christoph Purschke
Refractive multi-conjugate adaptive optics for wide-field atmospheric turbulence correction
Multi-Conjugate Adaptive Optics (MCAO) is essential for increasing the corrected Field-of-View (FoV) in astronomical imaging and potentially for free-space optical communications, particularly for ...
Tommaso Furieri, Stefano Bonora
Walma: Learning to See Memory Corruption in WebAssembly
WebAssembly's (Wasm) monolithic linear memory model facilitates memory corruption attacks that can escalate to cross-site scripting in browsers or go undetected when a malicious host tampers with a...
Oussama Draissi, Mark Günzel, Ahmad-Reza Sadeghi, Lucas Davi
The Geometry of Risk: Path-Dependent Regulation and Anticipatory Hedging via the SigSwap
This paper introduces a transformative framework for managing path-dependent financial risk by shifting from traditional distribution-centric models to a geometry-based approach. We propose the Sig...
Daniel Bloch
On the explicit formula linking a function to the order of its fractional derivative
In this paper, given a certain regularity of a function $v$, we derive an explicit formula relating the order $ν_0\in(0,1)$ of the leading fractional derivative in a fractional differential operato...
Vasyl Semenov, Nataliya Vasylyeva
Linear-Nonlinear Fusion Neural Operator for Partial Differential Equations
Neural operator learning directly constructs the mapping relationship from the equation parameter space to the solution space, enabling efficient direct inference in practical applications without ...
Heng Wu, Junjie Wang, Benzhuo Lu