Papers
Research papers from arXiv and related sources
Exploring the $S_8$ Tension: Insights from the CatNorth 1.5-Million Quasar Candidates
The parameter $S_8$, a key probe of cosmic structure growth, exhibits a persistent $\sim3σ$ tension between high-redshift measurements from cosmic microwave background (CMB) anisotropies and low-re...
Jin Qin, Xue-Bing Wu, Yuming Fu, Haojie Xu, Yuxuan Pang, Yun-Hao Zhang, Pengjie Zhang
Declarative Scenario-based Testing with RoadLogic
Scenario-based testing is a key method for cost-effective and safe validation of autonomous vehicles (AVs). Existing approaches rely on imperative scenario definitions, requiring developers to manu...
Ezio Bartocci, Alessio Gambi, Felix Gigler, Cristinel Mateis, Dejan Ničković
Variational Routing: A Scalable Bayesian Framework for Calibrated Mixture-of-Experts Transformers
Foundation models are increasingly being deployed in contexts where understanding the uncertainty of their outputs is critical to ensuring responsible deployment. While Bayesian methods offer a pri...
Albus Yizhuo Li, Matthew Wicker
Feasible Set and the Transformation of Values
This paper proposes a shift in perspective on two long-standing problems in political economy: the reduction of complex labor and the transformation problem. Rather than searching for a unique cons...
Jiyuan Lyu
CERES: A Probabilistic Early Warning System for Acute Food Insecurity
We present CERES (Calibrated Early-warning and Risk Estimation System), an automated probabilistic forecasting system for acute food insecurity. CERES generates 90-day ahead probability estimates o...
Tom Danny S. Pedersen
MetaDAT: Generalizable Trajectory Prediction via Meta Pre-training and Data-Adaptive Test-Time Updating
Existing trajectory prediction methods exhibit significant performance degradation under distribution shifts during test time. Although test-time training techniques have been explored to enable ad...
Yuning Wang, Pu Zhang, Yuan He, Ke Wang, Jianru Xue
Deep Learning Search for Gravitational Waves from Compact Binary Coalescence
Gravitational wave searches rely on a combination of methods, including matched filtering, coherent analyses, and more recent machine learning based pipelines. For compact binary coalescences, wher...
Lorenzo Mobilia, Tito Dal Canton, Gianluca Maria Guidi
SinGeo: Unlock Single Model's Potential for Robust Cross-View Geo-Localization
Robust cross-view geo-localization (CVGL) remains challenging despite the surge in recent progress. Existing methods still rely on field-of-view (FoV)-specific training paradigms, where models are ...
Yang Chen, Xieyuanli Chen, Junxiang Li, Jie Tang, Tao Wu
Verified delegated quantum computation requires techniques beyond cut-and-choose
Delegated quantum computation enables a client with limited quantum capabilities to outsource computations to a more powerful quantum server while preserving correctness and privacy. Verification i...
Fabian Wiesner, Anna Pappa
ProvAgent: Threat Detection Based on Identity-Behavior Binding and Multi-Agent Collaborative Attack Investigation
Advanced Persistent Threats (APTs) pose critical challenges to modern cybersecurity due to their multi-stage and stealthy nature. While provenance-based detection approaches show promise in capturi...
Wenhao Yan, Ning An, Linxu Li, Bingsheng Bi, Bo Jiang, Zhigang Lu, Baoxu Liu, Junrong Liu, Cong Dong
How to formulate the $\mathbb{Z}_8$ topological invariant of Majorana fermion on the lattice
Topological invariants and their associated anomalies have played a crucial role in understanding low-energy phenomena in quantum field theories. In lattice gauge theory, the standard $\mathbb{Z}$-...
Sho Araki, Hidenori Fukaya, Tetsuya Onogi, Satoshi Yamaguchi
Interactive 3D visualization of surface roughness predictions in additive manufacturing: A data-driven framework
Surface roughness in Material Extrusion Additive Manufacturing varies across a part and is difficult to anticipate during process planning because it depends on both printing parameters and local s...
Engin Deniz Erkan, Elif Surer, Ulas Yaman
TA-GGAD: Testing-time Adaptive Graph Model for Generalist Graph Anomaly Detection
A significant number of anomalous nodes in the real world, such as fake news, noncompliant users, malicious transactions, and malicious posts, severely compromises the health of the graph data ecos...
Xiong Zhang, Hong Peng, Changlong Fu, Xin Jin, Yun Yang, Cheng Xie
Testing Screened Modified Gravity with Strongly Lensed Gravitational Waves
Screening mechanisms are essential components in many modified gravity theories, which satisfy local tests of General Relativity (GR) and address cosmic acceleration on cosmological scales. The str...
Chengsheng Mu, Shuo Cao, Shuxun Tian, Xinyue Jiang, Chenfa Zheng, Dadian Cheng
Predictive Spectral Calibration for Source-Free Test-Time Regression
Test-time adaptation (TTA) for image regression has received far less attention than its classification counterpart. Methods designed for classification often depend on classification-specific obje...
Nguyen Viet Tuan Kiet, Huynh Thanh Trung, Pham Huy Hieu
TimberAgent: Gram-Guided Retrieval for Executable Music Effect Control
Digital audio workstations expose rich effect chains, yet a semantic gap remains between perceptual user intent and low-level signal-processing parameters. We study retrieval-grounded audio effect ...
Shihao He, Yihan Xia, Fang Liu, Taotao Wang, Shengli Zhang
Anomaly detection using surprisals
Anomaly detection methods are widely used but often rely on ad hoc rules or strong assumptions, and they often focus on tail events, missing ``inlier'' anomalies that occur in low-density gaps betw...
Rob J Hyndman, David T. Frazier
Reliable Tests of Faint-end UV Luminosity Functions in Strong Lensing Fields
Dark matter comprises ~85% of the entire mass of the Universe, but the fundamental nature of its constituent particles remains elusive. In this thesis, I test for two competitive dark matter models...
Jiashuo Zhang
From Perception to Cognition: How Latency Affects Interaction Fluency and Social Presence in VR Conferencing
Virtual reality (VR) conferencing has the potential to provide geographically dispersed users with an immersive environment, enabling rich social interactions and user experience using avatars. How...
Jiarun Song, Ninghao Wan, FuZheng Yang, Weisi Lin
Transductive Generalization via Optimal Transport and Its Application to Graph Node Classification
Many existing transductive bounds rely on classical complexity measures that are computationally intractable and often misaligned with empirical behavior. In this work, we establish new representat...
MoonJeong Park, Seungbeom Lee, Kyungmin Kim, Jaeseung Heo, Seunghyuk Cho, Shouheng Li, Sangdon Pa...