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AI & Data Science Preprint PDF DOI

MoCapAnything V2: End-to-End Motion Capture for Arbitrary Skeletons

Kehong Gong, Zhengyu Wen, Dao Thien Phong, Mingxi Xu, Weixia He, Qi Wang, Ning Zhang, Zhengyu Li, Guanli Hou, Dongze Lian, Xiaoyu He, Mingyuan Zhang, Hanwang Zhang · 2026

Recent methods for arbitrary-skeleton motion capture from monocular video follow a factorized pipeline, where a Video-to-Pose network predicts joint positions and an analytical inverse-kinematics (IK)…

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AI & Data Science Preprint PDF DOI

UHR-Net: An Uncertainty-Aware Hypergraph Refinement Network for Medical Image Segmentation

Shuokun Cheng, Jinghao Shi, Kun Sun · 2026

Accurate lesion segmentation is crucial for clinical diagnosis and treatment planning. However, lesions often resemble surrounding tissues and exhibit ill-defined boundaries, leading to unstable predi…

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Mathematics Preprint PDF DOI

Freidlin-G\"artner formula and asymptotic profile in reaction-diffusion equations

Luca Rossi · 2026

We address the question of the large-time behavior of solutions to reaction-diffusion equations in periodic media. We start with the description of the asymptotic shape of the invasion set, which is c…

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Physics Preprint PDF DOI

Galaxy Zoo Bar Lengths: A Catalogue of Measurements from Hubble Space Telescope Images and the Evolution of Galactic Bar Structure at z < 1

Tenley Hutchinson-Smith, Brooke D. Simmons, Karen L. Masters, Alison Coil, Izzy Garland, Tobias Geron, Sandor Kruk, Chris Lintott, Rebecca Smethurst, Amauri Tapia, Kyle Willett, Elisabeth Baeten, Sylvia Beer, Michael L. Peck, Julianne Wilcox · 2026

Understanding the role of galactic scale bars in disk galaxy evolution requires detailed measurements of bar properties across galaxies hosting bars at many redshifts. We present measurements of bar l…

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Physics Preprint PDF DOI

Quo vadis, stochastic thermodynamics?

Jan Korbel, Artemy Kolchinsky, Sarah A.M. Loos, Gonzalo Manzano, Rosalba Garcia-Millan, Olga Movilla Miangolarra, Edgar Roldan · 2026

Stochastic thermodynamics is a framework for describing non-equilibrium processes at the level of fluctuating trajectories, where the state of a system evolves as a stochastic time series, allowing th…

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Mathematics Preprint PDF DOI

From Cursed to Competitive: Closing the ZO-FO Gap via Input-to-State Stability

Amir Ali Farzin, Philipp Braun, Iman Shames · 2026

While it is generally understood that zeroth-order (ZO) algorithms have an extra dependency on their number of iterations for any choice of parameters, compared to their first-order (FO) counterparts,…

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Mathematics Preprint PDF DOI

Immersions of $C_2$-projective spaces via $K\mathbb{R}$-theory

Manyi Guo, Jackson Morris, Alex Waugh, Albert Jinghui Yang · 2026

We compute the Atiyah Real $K$-theory of $C_2$-equivariant projective spaces and construct immersions of such spaces into multiples of the regular representation. These computations are made tractable…

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Physics Preprint PDF DOI

The effects of image augmentations when training machine learning models in astronomy

Leon H. Butterworth, Ashley Spindler · 2026

We measure the influence of image augmentations and training dataset size when training a deep neural network to classify galaxy morphology. Data augmentation is an integral step when training machine…

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Economics & Finance Preprint PDF DOI

Coordination in complex environments

Pietro Dall'Ara · 2026

Coordination is an important aspect of innovative contexts, where: the more innovative a course of action, the more uncertain its outcome. To study the interplay of coordination and informational ``co…

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Computer Science Preprint PDF DOI

How Do Software Engineering Students Use Generative AI in Real-World Capstone Projects? An Empirical Baseline Study

Michael Mircea, Elisa Schmid, Jakob Droste, Kurt Schneider · 2026

Real-world Capstone Projects (RWCPs) are a key component of software engineering education, enabling students to develop software for external clients under authentic conditions. Their high ecological…

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Physics Preprint PDF DOI

Machine learning technique for morphological classification of galaxies from SDSS. IV. Visual inspection vs CNN for merging, irregular, edge-on, barred, ringed, and with dust lanes galaxies at 0.02<z<0.1

Dobrycheva D.V., Vavilova I.B., Kompaniiets O.V., Khramtsov V., Vasylenko M.Yu., Hetmantsev O.O., Melnyk O.V., Karachentseva V.E · 2026

Context. Convolutional neural networks (CNNs) are widely used for automated galaxy morphological classification in large surveys. However, projection effects, image artefacts, and intrinsic degeneraci…

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AI & Data Science Preprint PDF DOI

Diffusion Templates: A Unified Plugin Framework for Controllable Diffusion

Zhongjie Duan, Hong Zhang, Yingda Chen · 2026

Controllable diffusion methods have substantially expanded the practical utility of diffusion models, but they are typically developed as isolated, backbone-specific systems with incompatible training…

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Physics Preprint PDF DOI

Persistent Fermi Pockets and Robust Electron Pairing in Lightly Doped CuO$_2$ Planes of Cuprate Superconductors

Hao Chen, Jumin Shi, Yinghao Li, Xiangyu Luo, Yiwen Chen, Chaohui Yin, Yingjie Shu, Jiuxiang Zhang, Taimin Miao, Bo Liang, Wenpei Zhu, Neng Cai, Xiaolin Ren, Chengtian Lin, Shenjin Zhang, Zhimin Wang, Fengfeng Zhang, Feng Yang, Qinjun Peng, Zuyan Xu, Guodong Liu, Hanqing Mao, Xintong Li, Tao Xiang, Lin Zhao, X. J. Zhou · 2026

High temperature superconductivity in cuprate superconductors is generally considered to be generated from doping the Mott insulators. The fundamental nature of the doped parent compounds as well as t…

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Physics Preprint PDF DOI

Bismuth Films on EuO(111) as a Platform for Proximity-Induced Topological States

Subham Naskar, Sujit Manna · 2026

Interfacing two-dimensional bismuth with a magnetic layer provides a promising route towards realizing higher-order topological phases. In particular, bismuthene on a ferromagnetic insulator substrate…

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Mathematics Preprint PDF DOI

Distributed Zeroth-Order Optimization with Rademacher Perturbations and Momentum Gradient Tracking

Yanxu Su, Xiaorui Tong, Changyin Sun · 2026

Zeroth-order (ZO) optimization is indispensable for complex non-convex tasks where explicit gradients are computationally prohibitive or strictly inaccessible. For deploying ZO methods over distribute…

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Physics Preprint PDF DOI

High-order harmonic generation in argon driven by short laser pulses: effects of post-pulse propagation and windowing

Aaron T. Bondy, Klaus Bartschat · 2026

We present ab initio calculations using the $R$-matrix with time dependence (RMT) method for high-order harmonic generation (HHG) in argon in a short, intense pulse regime. The calculations employ a $…

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Mathematics Preprint PDF DOI

Small scale creation in 2D gravity-capillary water waves with vorticity

Yuanpeng Tu · 2026

In this paper, we consider 2D incompressible Euler equations in an unbounded domain with a free surface and a fixed bottom at finite depth. The fluid motion is under the influence of gravity and surfa…

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Computer Science Preprint PDF DOI

Tractable Verification of Model Transformations: A Cutoff-Theorem Approach for DSLTrans

Levi Lucio · 2026

Model transformations are central to MDE, but formal verification is difficult because mainstream transformation languages are undecidable. DSLTrans was designed to be Turing-incomplete to improve ver…

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Physics Preprint PDF DOI

Frequency upconversion of infrared signals via molecular optomechanical cavities

Fen Zou, Shu-Xian Quan, Yong Li, Hui Dong · 2026

Molecular optomechanical cavities have recently emerged as a promising platform for frequency upconversion, enabling the quantum coherent conversion of infrared signal into the visible range. In a rec…

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AI & Data Science Preprint PDF DOI

Efficient Federated RLHF via Zeroth-Order Policy Optimization

Deyi Wang, Qining Zhang, Lei Ying · 2026

This paper considers reinforcement learning from human feedback in a federated learning setting with resource-constrained agents, such as edge devices. We propose an efficient federated RLHF algorithm…

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