Papers
Research papers from arXiv and related sources
On Linear Separability of the MNIST Handwritten Digits Dataset
The MNIST dataset containing thousands of handwritten digit images is still a fundamental benchmark for evaluating various pattern-recognition and image-classification models. Linear separability i...
Ákos Hajnal
Team LEYA in 10th ABAW Competition: Multimodal Ambivalence/Hesitancy Recognition Approach
Ambivalence/hesitancy recognition in unconstrained videos is a challenging problem due to the subtle, multimodal, and context-dependent nature of this behavioral state. In this paper, a multimodal ...
Elena Ryumina, Alexandr Axyonov, Dmitry Sysoev, Timur Abdulkadirov, Kirill Almetov, Yulia Morozov...
Rethinking Multiple-Choice Questions for RLVR: Unlocking Potential via Distractor Design
Reinforcement Learning with Verifiable Rewards (RLVR) significantly enhances the reasoning capabilities of Large Language Models. When applied to RLVR, Multiple-Choice Questions (MCQs) offer a scal...
Xu Guo, Qiming Ge, Jian Tong, Kedi Chen, Jin Zhang, Xiaogui Yang, Xuan Gao, Haijun Lv, Zhihui Lu,...
Polynomial curvelets on higher-dimensional spheres
In this article, we introduce and investigate polynomial curvelets on spheres, which form a class of Parseval frames for $L^2(\mathbb{S}^{d-1})$, $d \geq 3$. The proposed construction offers a dire...
Frederic Schoppert
Does supernova feedback regulate the star formation rate in dwarf galaxies?
Stars form in cold, dense clouds embedded in galactic discs, but whether their formation is primarily regulated by gravitational collapse, turbulence, or stellar feedback remains unclear. Using fou...
D. Whitworth, E. Vázquez-Semadeni, J. Ballesteros-Paredes, G. O. Gómez
Gaia GraL X.: The GraL catalogue of gravitationally lensed quasars Matched with \textit{Gaia} data, redshifts, and time delays
Determining the Hubble constant tension requires alternative strategies, and multiply imaged quasars, with their intermediate redshifts, can potentially be used in this regard. We provide a current...
C. Ducourant, R. Teixeira, P. H. Vale-Cunha, L. Delchambre, A. Krone-Martins, J. Braine, L. Gallu...
Motion-Specific Battery Health Assessment for Quadrotors Using High-Fidelity Battery Models
Quadrotor endurance is ultimately limited by battery behavior, yet most energy aware planning treats the battery as a simple energy reservoir and overlooks how flight motions induce dynamic current...
Joonhee Kim, Sanghyun Park, Donghyeong Kim, Eunseon Choi, Soohee Han
Coherent Human-Scene Reconstruction from Multi-Person Multi-View Video in a Single Pass
Recent advances in 3D foundation models have led to growing interest in reconstructing humans and their surrounding environments. However, most existing approaches focus on monocular inputs, and ex...
Sangmin Kim, Minhyuk Hwang, Geonho Cha, Dongyoon Wee, Jaesik Park
Functional CLT for general sample covariance matrices
This paper studies the central limit theorems (CLTs) for linear spectral statistics (LSSs) of general sample covariance matrices, when the test functions belong to $C^3$, the class of functions wit...
Jian Cui, Zhijun Liu, Jiang Hu, Zhidong Bai
FC-Track: Overlap-Aware Post-Association Correction for Online Multi-Object Tracking
Reliable multi-object tracking (MOT) is essential for robotic systems operating in complex and dynamic environments. Despite recent advances in detection and association, online MOT methods remain ...
Cheng Ju, Zejing Zhao, Akio Namiki
Chemical Properties and Sagittarius-induced Dynamical Perturbations of the GD-1 Stream
In this study, we investigate the chemical properties of the GD-1 stream using cross-matched, data-driven elemental abundances. The results reveal no clear $α$-knee in the [Mg/Fe]-[Fe/H] plane, and...
Haoyang Liu, Cuihua Du
Balancing the privacy-utility trade-off: How to draw reliable conclusions from private data
Absolute anonymization, conceived as an irreversible transformation that prevents re-identification and sensitive value disclosure, has proven to be a broken promise. Consequently, modern data prot...
Raphaël de Fondeville
Bolometric corrections of stellar oscillation mode amplitudes as observed by the PLATO mission. I. Planck-spectrum estimates
We derive bolometric correction functions for oscillation mode amplitudes observed by the different cameras of the ESA PLATO mission. Such corrections between bolometric (full light) and mission in...
Mikkel N. Lund, Jérôme Ballot, William J. Chaplin
SLICE: Semantic Latent Injection via Compartmentalized Embedding for Image Watermarking
Watermarking the initial noise of diffusion models has emerged as a promising approach for image provenance, but content-independent noise patterns can be forged via inversion and regeneration atta...
Zheng Gao, Yifan Yang, Xiaoyu Li, Xiaoyan Feng, Haoran Fan, Yang Song, Jiaojiao Jiang
Purely Baryonic Weak Decays of Heavy Baryons in Skyrme Model
Purely baryonic weak decays of heavy baryons are investigated within the framework of the Skyrme model. These decays belong to a new class of unobserved decay channels, which would help us to test ...
Chao-Qiang Geng, Chao Han
On Using Machine Learning to Early Detect Catastrophic Failures in Marine Diesel Engines
Catastrophic failures of marine engines imply severe loss of functionality and destroy or damage the systems irreversibly. Being sudden and often unpredictable events, they pose a severe threat to ...
Francesco Maione, Paolo Lino, Giuseppe Giannino, Guido Maione
Two-photon dual-comb LiDAR imaging
Conventional LiDAR uses time-of-flight data from laser pulses scanned across a scene to provide accurate multi-meter-scale three-dimensional models at cm precision, limited by the tens-of-picosecon...
Alexander J. M. Nelmes, Simon Fletcher, Andrew Longstaff, Jake M. Charsley, Hollie Wright, Derryc...
SciDesignBench: Benchmarking and Improving Language Models for Scientific Inverse Design
Many of the most important problems in science and engineering are inverse problems: given a desired outcome, find a design that achieves it. Evaluating whether a candidate meets the spec is often ...
David van Dijk, Ivan Vrkic
Deep Learning Based Estimation of Blood Glucose Levels from Multidirectional Scleral Blood Vessel Imaging
Regular monitoring of glycemic status is essential for diabetes management, yet conventional blood-based testing can be burdensome for frequent assessment. The sclera contains superficial microvasc...
Muhammad Ahmed Khan, Manqiang Peng, Ding Lin, Saif Ur Rehman Khan
Fisher information based lower bounds on the cost of quantum phase estimation
Quantum phase estimation (QPE) is a cornerstone of quantum algorithms designed to estimate the eigenvalues of a unitary operator. QPE is typically implemented through two paradigms with distinct ci...
Ryosuke Kimura, Kosuke Mitarai