Papers
Research papers from arXiv and related sources
Test-beam results from MiniCACTUS-v2: A depleted monolithic CMOS timing sensor prototype
MiniCACTUS-v2 is a monolithic sensor prototype designed in LF 150 nm CMOS process for time tagging of individual Minimum Ionizing Particles with an accuracy better than 100 ps. The sensing element ...
Y. Degerli, R. Aleksan, R. Casanova, Y. Gan, S. Grinstein, F. Guilloux, A. Hanlon, T. Hemperek, J...
GPU-Native Compressed Neighbor Lists with a Space-Filling-Curve Data Layout
We have developed a compressed neighbor list for short-range particle-particle interaction based on a space- filling curve (SFC) memory layout and particle clusters. The neighbor list can be constr...
Felix Thaler, Sebastian Keller
Probing the Milky Way Halo with RR Lyrae Stars from Gaia Data Release 3
The Milky Way (MW) stellar halo, containing debris from past accretion events, serves as a fossil record of hierarchical mass assembly. Due to their distinct properties, RR Lyrae stars (RRLs) serve...
T. Muraveva, L. Monti, D. Massari, M. De Leo, A. Garofalo, G. Clementini, E. Ceccarelli, U. Miche...
Optimal $L^2$-norm error estimate of multiphysics finite element method for poroelasticity model and simulating brain edema
In this paper, we derive an optimal $L^2$-norm error estimate of the multiphysics finite element method for the poroelasticity model by introducing an auxiliary problem. We show some numerical test...
Zhihao Ge, Yanan He, Yajie Yang
LLM-enabled Applications Require System-Level Threat Monitoring
LLM-enabled applications are rapidly reshaping the software ecosystem by using large language models as core reasoning components for complex task execution. This paradigm shift, however, introduce...
Yedi Zhang, Haoyu Wang, Xianglin Yang, Jin Song Dong, Jun Sun
MAS-FIRE: Fault Injection and Reliability Evaluation for LLM-Based Multi-Agent Systems
As LLM-based Multi-Agent Systems (MAS) are increasingly deployed for complex tasks, ensuring their reliability has become a pressing challenge. Since MAS coordinate through unstructured natural lan...
Jin Jia, Zhiling Deng, Zhuangbin Chen, Yingqi Wang, Zibin Zheng
SAMAS: A Spectrum-Guided Multi-Agent System for Achieving Style Fidelity in Literary Translation
Modern large language models (LLMs) excel at generating fluent and faithful translations. However, they struggle to preserve an author's unique literary style, often producing semantically correct ...
Jingzhuo Wu, Jiajun Zhang, Keyan Jin, Dehua Ma, Junbo Wang
Addressing parity blindness of data-driven Sobolev tests on the hypersphere
We study the asymptotic behavior of the data-driven Sobolev test for testing uniformity on the (hyper)sphere. We show that it can be blind to certain contiguous alternatives and propose a simple mo...
Marcio Reverbel
An Explainable Memory Forensics Approach for Malware Analysis
Memory forensics is an effective methodology for analyzing living-off-the-land malware, including threats that employ evasion, obfuscation, anti-analysis, and steganographic techniques. By capturin...
Silvia Lucia Sanna, Davide Maiorca, Giorgio Giacinto
Superconducting Accelerator Magnets
This course introduces key aspects of superconducting magnet technology in accelerators: basic principles, superconducting materials (NbTi, Nb$_3$Sn, ReBCO), wire and cable architectures, and fabri...
Stephane Sanfilippo
Keyboards for the Endangered Idu Mishmi Language
We present a mobile and desktop keyboard suite for Idu Mishmi, an endangered Trans-Himalayan language spoken by approximately 11,000 people in Arunachal Pradesh, India. Although a Latin-based ortho...
Akhilesh Kakolu Ramarao
Semantic Caching for OLAP via LLM-Based Query Canonicalization (Extended Version)
Analytical workloads exhibit substantial semantic repetition, yet most production caches key entries by SQL surface form (text or AST), fragmenting reuse across BI tools, notebooks, and NL interfac...
Laurent Bindschaedler
OpenClaw, Moltbook, and ClawdLab: From Agent-Only Social Networks to Autonomous Scientific Research
In January 2026, the open-source agent framework OpenClaw and the agent-only social network Moltbook produced a large-scale dataset of autonomous AI-to-AI interaction, attracting six academic publi...
Lukas Weidener, Marko Brkić, Mihailo Jovanović, Ritvik Singh, Emre Ulgac, Aakaash Meduri
From Asymptotic to Finite-Sample Minimax Robust Hypothesis Testing
This paper establishes a formal connection between finite-sample and asymptotically minimax robust hypothesis testing under distributional uncertainty. It is shown that, whenever a finite-sample mi...
Gökhan Gül
Drift Localization using Conformal Predictions
Concept drift -- the change of the distribution over time -- poses significant challenges for learning systems and is of central interest for monitoring. Understanding drift is thus paramount, and ...
Fabian Hinder, Valerie Vaquet, Johannes Brinkrolf, Barbara Hammer
Stop Preaching and Start Practising Data Frugality for Responsible Development of AI
This position paper argues that the machine learning community must move from preaching to practising data frugality for responsible artificial intelligence (AI) development. For long, progress has...
Sophia N. Wilson, Guðrún Fjóla Guðmundsdóttir, Andrew Millard, Raghavendra Selvan, Sebastian Mair
Unsupervised Anomaly Detection in NSL-KDD Using $β$-VAE: A Latent Space and Reconstruction Error Approach
As Operational Technology increasingly integrates with Information Technology, the need for Intrusion Detection Systems becomes more important. This paper explores an unsupervised approach to anoma...
Dylan Baptiste, Ramla Saddem, Alexandre Philippot, François Foyer
Janus-Faced Technological Progress and the Arms Race in the Education of Humans and Chatbots
We study the conditions under which technological advances, in combination with a lognormal wage distribution, incentivize agents into an inefficient educational arms race. Our model emphasizes tha...
Wolfgang Kuhle
AegisSat: Securing AI-Enabled SoC FPGA Satellite Platforms
The increasing adoption of System-on-Chip Field-Programmable Gate Arrays (SoC FPGAs) in AI-enabled satellite systems, valued for their reconfigurability and in-orbit update capabilities, introduces...
Huimin Li, Vusal Novruzov, Nikhilesh Singh, Lichao Wu, Mohamadreza Rostami, Ahmad-Reza Sadeghi
Incidental Reverberations: Poetic Similarities in AI Art
Contemporary AI art's diverse and widely recognized repertoire features numerous artworks that share conceptual, thematic, narrative, procedural, or presentational properties with other artworks ac...
Dejan Grba