Papers
Research papers from arXiv and related sources
Phase Transitions, Geodesic Structure, and Thermodynamic Properties Measurement of Einstein-Maxwell-Power Yang-Mills Black Hole Models
In this work, we test the geometrical structure and thermodynamic properties of the Einstein-Maxwell-Power-Yang-Mills black hole (BH) models, which constitute a nonlinear generalization of the stan...
Abdelmalek Bouzenada, Allan. R. P. Moreira, Shi-Hai Dong, Guo-Hua Sun, Muhammad Sharif
Fusion-Poly: A Polyhedral Framework Based on Spatial-Temporal Fusion for 3D Multi-Object Tracking
LiDAR-camera 3D multi-object tracking (MOT) combines rich visual semantics with accurate depth cues to improve trajectory consistency and tracking reliability. In practice, however, LiDAR and camer...
Xian Wu, Yitao Wu, Xiaoyu Li, Zijia Li, Lijun Zhao, Lining Sun
Algorithm with variable coefficients for computing matrix inverses
We present a general scheme for the construction of new eficient generalized Schultz iterative methods for computing the inverse matrix. These methods have the form $$ X_{k+1} = X_k(a_0^{(k)}I+a_1^...
Mihailo Krstić, Marko D. Petković, Kostadin Rajković, Marko Kostadinov
Modeling the Senegalese artisanal fisheries migrations
The North-West African coast is enriched by the Canary current, which sustain a very produc- tive marine ecosystem. The Senegalese artisanal fishing fleet, the largest in West Africa, ben- efit fro...
Alassane Bah, Timothée Brochier
Soft Fault Estimation and Localisation in Y-Shaped Networks using OFDM-Based Signals
This paper introduces a method for detecting, estimating, and localising a soft fault in wired communication networks. The proposed method is based on analysing the transmission coefficients (TC) i...
Ameer Ahmadie, Ndeye Gueye, Virginie Degardin, Vincent Cocquempot
SiPM non-linearity studies in beam tests with scintillating crystals
High-granularity homogeneous electromagnetic calorimeters based on scintillating crystals and silicon photomultipliers (SiPMs) are a promising option for future $e^{+}e^{-}$ Higgs factories, where ...
Zhiyu Zhao, Dejing Du, Shu Li, Yong Liu, Baohua Qi, Jack Rolph, Haijun Yang
Training event-based neural networks with exact gradients via Differentiable ODE Solving in JAX
Existing frameworks for gradient-based training of spiking neural networks face a trade-off: discrete-time methods using surrogate gradients support arbitrary neuron models but introduce gradient b...
Lukas König, Manuel Kuhn, David Kappel, Anand Subramoney
Language-Invariant Multilingual Speaker Verification for the TidyVoice 2026 Challenge
Multilingual speaker verification (SV) remains challenging due to limited cross-lingual data and language-dependent information in speaker embeddings. This paper presents a language-invariant multi...
Ze Li, Xiaoxiao Miao, Juan Liu, Ming Li
TALON: Test-time Adaptive Learning for On-the-Fly Category Discovery
On-the-fly category discovery (OCD) aims to recognize known categories while simultaneously discovering novel ones from an unlabeled online stream, using a model trained only on labeled data. Exist...
Yanan Wu, Yuhan Yan, Tailai Chen, Zhixiang Chi, ZiZhang Wu, Yi Jin, Yang Wang, Zhenbo Li
Evaluating Generative Models via One-Dimensional Code Distributions
Most evaluations of generative models rely on feature-distribution metrics such as FID, which operate on continuous recognition features that are explicitly trained to be invariant to appearance va...
Zexi Jia, Pengcheng Luo, Yijia Zhong, Jinchao Zhang, Jie Zhou
Samyama: A Unified Graph-Vector Database with In-Database Optimization, Agentic Enrichment, and Hardware Acceleration
Modern data architectures are fragmented across graph databases, vector stores, analytics engines, and optimization solvers, resulting in complex ETL pipelines and synchronization overhead. We pres...
Madhulatha Mandarapu, Sandeep Kunkunuru
ConflictBench: Evaluating Human-AI Conflict via Interactive and Visually Grounded Environments
As large language models (LLMs) evolve into autonomous agents capable of acting in open-ended environments, ensuring behavioral alignment with human values becomes a critical safety concern. Existi...
Weixiang Zhao, Haozhen Li, Yanyan Zhao, xuda zhi, Yongbo Huang, Hao He, Bing Qin, Ting Liu
CMMR-VLN: Vision-and-Language Navigation via Continual Multimodal Memory Retrieval
Although large language models (LLMs) are introduced into vision-and-language navigation (VLN) to improve instruction comprehension and generalization, existing LLM- based VLN lacks the ability to ...
Haozhou Li, Xiangyu Dong, Huiyan Jiang, Yaoming Zhou, Xiaoguang Ma
MJ1: Multimodal Judgment via Grounded Verification
Multimodal judges struggle to ground decisions in visual evidence. We present MJ1, a multimodal judge trained with reinforcement learning that enforces visual grounding through a structured grounde...
Bhavesh Kumar, Dylan Feng, Leonard Tang
On the Feasibility and Opportunity of Autoregressive 3D Object Detection
LiDAR-based 3D object detectors typically rely on proposal heads with hand-crafted components like anchor assignment and non-maximum suppression (NMS), complicating training and limiting extensibil...
Zanming Huang, Jinsu Yoo, Sooyoung Jeon, Zhenzhen Liu, Mark Campbell, Kilian Q Weinberger, Bharat...
ZK-ACE: Identity-Centric Zero-Knowledge Authorization for Post-Quantum Blockchain Systems
Post-quantum signature schemes introduce kilobyte-scale authorization artifacts when applied directly to blockchain transaction validation. A widely considered mitigation is to verify post-quantum ...
Jian Sheng Wang
Advancing Automated Algorithm Design via Evolutionary Stagewise Design with LLMs
With the rapid advancement of human science and technology, problems in industrial scenarios are becoming increasingly challenging, bringing significant challenges to traditional algorithm design. ...
Chen Lu, Ke Xue, Chengrui Gao, Yunqi Shi, Siyuan Xu, Mingxuan Yuan, Chao Qian, Zhi-Hua Zhou
WeldAR: Augmenting Live Hands-On Training with In-Situ Guidance for Novice Learners
Extended Reality (XR) systems for physical skill training have largely emphasized simulation rather than real-time in-situ instruction. We present WeldAR, an Augmented Reality (AR) system with five...
Chuhan, Xu, Lia Sparingga Purnamasari, Zhenfang Chen, Daragh Byrne, Dina El-Zanfaly
RL unknotter, hard unknots and unknotting number
We develop a reinforcement learning pipeline for simplifying knot diagrams. A trained agent learns move proposals and a value heuristic for navigating Reidemeister moves. The pipeline applies to ar...
Anne Dranowski, Yura Kabkov, Daniel Tubbenhauer
ConnChecker: Automated Root-Cause Analysis for Formal Connectivity Check via Graph
Formal connectivity checking offers scalable verification of signal paths in complex SoC designs, but debugging counterexamples remains a manual and time-consuming process. ConnChecker introduces a...
Do Ngoc Tiep, Nguyen Linh Anh, Luu Danh Minh