Papers
Research papers from arXiv and related sources
Simulation-based inference from the Lyman-alpha forest 1D power spectrum with CAMELS
We perform for the first time full simulation-based inference on the Lyman-$α$ forest 1D power spectrum. In particular, we consider the prediction of the Lyman-$α$ forest $P_{\rm 1D}(k)$ at $2.0<z<...
Francesco Sinigaglia, Patricia Iglesias-Navarro, Matteo Viel
Experimental Determination of Gamma-Ray Polarization in Strong-Field Nonlinear Compton Scattering
The polarization of gamma rays produced in strong-field quantum electrodynamics (SFQED) is a fundamental and long-standing prediction, the verification of which has remained elusive, limiting both ...
Pengpei Xie, Mingyang Zhu, Xichen Hu, Yanfei Li, Yifei Li, Tianbing Wang, Bingjun Li, Huitong Zha...
From Passive Monitoring to Active Defence: Resilient Control of Manipulators Under Cyberattacks
Cyber-physical robotic systems are vulnerable to false data injection attacks (FDIAs), in which an adversary corrupts sensor signals while evading residual-based passive anomaly detectors such as t...
Gabriele Gualandi, Alessandro V. Papadopoulos
Deconstructing the Failure of Ideal Noise Correction: A Three-Pillar Diagnosis
Statistically consistent methods based on the noise transition matrix ($T$) offer a theoretically grounded solution to Learning with Noisy Labels (LNL), with guarantees of convergence to the optima...
Chen Feng, Zhuo Zhi, Zhao Huang, Jiawei Ge, Ling Xiao, Nicu Sebe, Georgios Tzimiropoulos, Ioannis...
Extending Exact Integrality Gap Computations for the Metric TSP
The subtour relaxation of the traveling salesman problem (TSP) plays a central role in approximation algorithms and polyhedral studies of the TSP. A long-standing conjecture asserts that the integr...
William Cook, Stefan Hougardy, Moritz Petrich
Test-Time Attention Purification for Backdoored Large Vision Language Models
Despite the strong multimodal performance, large vision-language models (LVLMs) are vulnerable during fine-tuning to backdoor attacks, where adversaries insert trigger-embedded samples into the tra...
Zhifang Zhang, Bojun Yang, Shuo He, Weitong Chen, Wei Emma Zhang, Olaf Maennel, Lei Feng, Miao Xu
Fair Lung Disease Diagnosis from Chest CT via Gender-Adversarial Attention Multiple Instance Learning
We present a fairness-aware framework for multi-class lung disease diagnosis from chest CT volumes, developed for the Fair Disease Diagnosis Challenge at the PHAROS-AIF-MIH Workshop (CVPR 2026). Th...
Aditya Parikh, Aasa Feragen
On the timescales of controlled termination of tokamak plasmas
The RAPTOR code is used to model how the time required for controlled termination of Ohmic plasmas scales from present tokamaks like TCV and JET, to reactor-grade tokamaks like ITER and DEMO. We sh...
Simon Van Mulders, Olivier Sauter
Tied-array beam flatfielding
Context. Multi-element phased-array radio telescopes use digital beamforming to widen their field-of-view with numerous tied-array beams (TABs). These beams share bandpass variations and radio freq...
Dirk Kuiper, Cees Bassa, Ziggy Pleunis, Jason Hessels
Long-form RewardBench: Evaluating Reward Models for Long-form Generation
The widespread adoption of reinforcement learning-based alignment highlights the growing importance of reward models. Various benchmarks have been built to evaluate reward models in various domains...
Hui Huang, Yancheng He, Wei Liu, Muyun Yang, Jiaheng Liu, Kehai Chen, Bing Xu, Conghui Zhu, Hailo...
Recent electroweak measurements from the CMS experiment
Recent measurements of electroweak phenomena from the Compact Muon Solenoid (CMS) experiment at the Large Hadron Collider are summarized. The standard model of particle physics was tested through h...
Cristina-Andreea Alexe
DirPA: Addressing Prior Shift in Imbalanced Few-shot Crop-type Classification
Real-world agricultural monitoring is often hampered by severe class imbalance and high label acquisition costs, resulting in significant data scarcity. In few-shot learning (FSL) -- a framework sp...
Joana Reuss, Ekaterina Gikalo, Marco Körner
Development of a Methodology for the Automated Spatial Mapping of Heterogeneous Elastoplastic Properties of Welded Joints
Knowledge of the mechanical properties of materials is required for the design and analysis of engineering products, however, the characterisation of heterogeneous properties using traditional tech...
Robert Hamill, Allan Harte, Aleksander Marek, Fabrice Pierron
A protocol for evaluating robustness to H&E staining variation in computational pathology models
Sensitivity to staining variation remains a major barrier to deploying computational pathology (CPath) models as hematoxylin and eosin (H&E) staining varies across laboratories, requiring systemati...
Lydia A. Schönpflug, Nikki van den Berg, Sonali Andani, Nanda Horeweg, Jurriaan Barkey Wolf, Tjal...
Multivariate lattice deformation: A spatially explicit framework for assessing crop rotation impacts on soil nutrient dynamics
Crop rotation impacts on soil nutrients are typically assessed using field-averaged or single-nutrient analyses that ignore spatial heterogeneity and multivariate interactions. We propose a multiva...
Marco Mandap
Weak Adversarial Neural Pushforward Method for Fractional Fokker-Planck Equations
We extend the Weak Adversarial Neural Pushforward Method (WANPM) to fractional Fokker-Planck equations (fFPE), in which the classical Laplacian diffusion operator is replaced by the fractional Lapl...
Andrew Qing He, Wei Cai
Breaking the Winner's Curse with Bayesian Hybrid Shrinkage
The widespread adoption of randomized controlled trials (A/B Tests) for decision-making has introduced a pervasive "Winner's Curse": experiments selected for launch often exhibit upwardly biased ef...
Richard Mudd, Abbas Zaidi, Rina Friedberg, Ilya Gorbachev, Anchal Choubey, Houssam Nassif
Composing Driving Worlds through Disentangled Control for Adversarial Scenario Generation
A major challenge in autonomous driving is the "long tail" of safety-critical edge cases, which often emerge from unusual combinations of common traffic elements. Synthesizing these scenarios is cr...
Yifan Zhan, Zhengqing Chen, Qingjie Wang, Zhuo He, Muyao Niu, Xiaoyang Guo, Wei Yin, Weiqiang Ren...
Design of a Dichroic Transmissive Huygens' Metasurface Unit-Cell Presenting Refraction Angle Duality
A purely transmissive Huygens' metasurface model under plane-wave illumination is used to derive circuit parameters describing a constituent unit cell, such that diverse refraction angles are attai...
Georgios Kyriakou, Giampaolo Pisano, Luca Olmi, Francesco Piacentini
Quantifying Perovskite Solar Cell Degradation via Machine Learning from Spatially Resolved Multimodal Luminescence Time Series
Perovskite solar cells (PSCs) have experienced a remarkable rise in power conversion efficiency (PCE) over the past 15 years, positioning them as a promising alternative or complement to silicon fo...
Giulio Barletta, Simon Ternes, Saif Ali, Zohair Abbas, Chiara Ostendi, Marialucia D'Addio, Erica ...