Papers
Research papers from arXiv and related sources
$K π$ scattering as a step towards $B \to K^* \ell^+ \ell^-$ from Lattice QCD
Rare $b\to s\ell^+\ell^-$ decays provide some of the most sensitive tests of the Standard Model and require precise and systematically improvable hadronic input from lattice QCD. For the phenomenol...
Felix Erben, Matthew Black, Peter Boyle, Matteo Di Carlo, Vera Gülpers, Maxwell T. Hansen, Nelson...
A Deterministic Ionization Algorithm for the OSIRIS Particle-in-Cell Framework
Ionization is critical in the formation and evolution of plasma dynamics; collisional ionization, in particular, is an often overlooked source of electrons when dealing with laser-plasma interactio...
Stephen DiIorio, Ricardo Fonseca, Frank Tsung, Benjamin J. Winjum, Alec G. R. Thomas
SoK: From Silicon to Netlist and Beyond $-$ Two Decades of Hardware Reverse Engineering Research
As hardware serves as the root of trust in modern computing systems, Hardware Reverse Engineering (HRE) is foundational for security assurance. In practice, HRE enables critical security applicatio...
Zehra Karadağ, Simon Klix, René Walendy, Felix Hahn, Kolja Dorschel, Julian Speith, Christof Paar...
Differential Attention-Augmented BiomedCLIP with Asymmetric Focal Optimization for Imbalanced Multi-Label Video Capsule Endoscopy Classification
This work presents a multi-label classification framework for video capsule endoscopy (VCE) that addresses the extreme class imbalance inherent in the Galar dataset through a combination of archite...
Podakanti Satyajith Chary, Nagarajan Ganapathy
A Continuous-Variable Quantum Fourier Layer: Applications to Filtering and PDE Solving
Fourier representations play a central role in operator learning methods for partial differential equations and are increasingly being explored in quantum machine learning architectures. The classi...
Paolo Marcandelli, Stefano Mariani, Martina Siena, Stefano Markidis
Uncertainty equality for SU(N) observables enabling the experimentally friendly detection of k-inseparability via purity measurements
We derive an exact uncertainty relation for arbitrary quantum states of finite-dimensional Hilbert spaces. For any given $k$-partition of a $d$-dimensional multipartite system, we introduce the tot...
G. Tartaglione, G. Zanfardino, F. Illuminati
The Revised Evolutionary Volume Tolman Test: Cosmological Constraints from Galaxy Evolution
In this study we adapt a classical cosmology measurement, the volume or number density test, to a modern synthesis of observed galaxy evolution. We do this by using measured galaxy mass functions a...
Christopher J. Conselice, Edmund J. Copeland, Sergio Sevillano Muñoz
Verification and Validation of Physics-Informed Surrogate Component Models for Dynamic Power-System Simulation
Physics-informed machine learning surrogates are increasingly explored to accelerate dynamic simulation of generators, converters, and other power grid components. The key question, however, is not...
Petros Ellinas, Indrajit Chaudhuri, Johanna Vorwerk, Spyros Chatzivasileiadis
Generative Control as Optimization: Time Unconditional Flow Matching for Adaptive and Robust Robotic Control
Diffusion models and flow matching have become a cornerstone of robotic imitation learning, yet they suffer from a structural inefficiency where inference is often bound to a fixed integration sche...
Zunzhe Zhang, Runhan Huang, Yicheng Liu, Shaoting Zhu, Linzhan Mou, Hang Zhao
M2P: Improving Visual Foundation Models with Mask-to-Point Weakly-Supervised Learning for Dense Point Tracking
Tracking Any Point (TAP) has emerged as a fundamental tool for video understanding. Current approaches adapt Vision Foundation Models (VFMs) like DINOv2 via offline finetuning or test-time optimiza...
Qiangqiang Wu, Tianyu Yang, Bo Fang, Jia Wan, Matias Di Martino, Guillermo Sapiro, Antoni B. Chan
Simulating the influence of stoichiometry on the spectral emissivity of Mo$_x$Si$_y$ thin films
In this work, we simulate the spectral emissivity of various stoichiometric crystal phases of Mo$_x$Si$_y$ compounds using density functional perturbation theory. The dielectric function, including...
Zahra Golsanamlou, Arseniy Baskakov, Robbert van de Kruijs, Silvester Houweling, Giorgio Colombi,...
Multivariate Residual Estimation Risk
The purpose of this paper is to describe and extend the use of the newly-introduced measure, residual estimation risk. Following the seminal work of Bignozzi and Tsanakas, the quantification of res...
D. J. Manuge
Algorithms for the Generation of Snarks
The essential requirement for a cubic graph to be called a snark is that it can not be edge-coloured with three colours. To avoid trivial cases, varying restrictions on the connectivity are impos...
Gunnar Brinkmann, Steven Van Overberghe
ResNet-50 with Class Reweighting and Anatomy-Guided Temporal Decoding for Gastrointestinal Video Analysis
We developed a multi-label gastrointestinal video analysis pipeline based on a ResNet-50 frame classifier followed by anatomy-guided temporal event decoding. The system predicts 17 labels, includin...
Romil Imtiaz, Dimitris K. Iakovidis
Exploring parameter-efficient fine-tuning (PEFT) of billion-parameter vision models with QLoRA and DoRA: insights into generalization for limited-data image classification under a 98:1 test-to-train regime
Automated behavior classification is essential for precision livestock farming but faces challenges of high computational costs and limited labeled data. This study systematically compared three ap...
Haiyu Yang, Sumit Sharma, Enhong Liu, Miel Hostens
CoVerRL: Breaking the Consensus Trap in Label-Free Reasoning via Generator-Verifier Co-Evolution
Label-free reinforcement learning enables large language models to improve reasoning capabilities without ground-truth supervision, typically by treating majority-voted answers as pseudo-labels. Ho...
Teng Pan, Yuchen Yan, Zixuan Wang, Ruiqing Zhang, Gaiyang Han, Wanqi Zhang, Weiming Lu, Jun Xiao,...
Attention Sinks Induce Gradient Sinks
Attention sinks and massive activations are recurring and closely related phenomena in Transformer models. Existing studies have largely focused on the forward pass, making it unclear whether their...
Yihong Chen, Quanming Yao
Facial Movement Dynamics Reveal Workload During Complex Multitasking
Real-time cognitive workload monitoring is crucial in safety-critical environments, yet established measures are intrusive, expensive, or lack temporal resolution. We tested whether facial movement...
Carter Sale, Melissa N. Stolar, Gaurav Patil, Michael J. Gostelow, Julia Wallier, Margaret C. Mac...
Multi-Source Human-in-the-Loop Digital Twin Testbed for Connected and Autonomous Vehicles in Mixed Traffic Flow
In the emerging mixed traffic environments, Connected and Autonomous Vehicles (CAVs) have to interact with surrounding human-driven vehicles (HDVs). This paper introduces MSH-MCCT (Multi-Source Hum...
Jianghong Dong, Jiawei Wang, Chunying Yang, Mengchi Cai, Chaoyi Chen, Qing Xu, Jianqiang Wang, Ke...
Stochastic set-valued optimization and its application to robust learning
In this paper, we develop a stochastic set-valued optimization (SVO) framework tailored for robust machine learning. In the SVO setting, each decision variable is mapped to a set of objective value...
Tommaso Giovannelli, Jingfu Tan, Luis Nunes Vicente