Papers
Research papers from arXiv and related sources
Fractal universe and quantum gravity made simple
Quantum field theory (QFT) on fractal spacetimes is a program aiming at quantizing the gravitational interaction consistently at all energy scales thanks to an intrinsically or dynamically induced ...
Fabio Briscese, Gianluca Calcagni
POLY-SIM: Polyglot Speaker Identification with Missing Modality Grand Challenge 2026 Evaluation Plan
Multimodal speaker identification systems typically assume the availability of complete and homogeneous audio-visual modalities during both training and testing. However, in real-world applications...
Marta Moscati, Muhammad Saad Saeed, Marina Zanoni, Mubashir Noman, Rohan Kumar Das, Monorama Swai...
LensWalk: Agentic Video Understanding by Planning How You See in Videos
The dense, temporal nature of video presents a profound challenge for automated analysis. Despite the use of powerful Vision-Language Models, prevailing methods for video understanding are limited ...
Keliang Li, Yansong Li, Hongze Shen, Mengdi Liu, Hong Chang, Shiguang Shan
Orientation Reconstruction of Proteins using Coulomb Explosions
We solve the orientation recovery of a tumbling protein in the gas phase from single-event measurements of the spatial positions of its ions after an X-ray laser induced explosion. We simulate diff...
Tomas André, Alfredo Bellisario, Nicusor Timneanu, Carl Caleman
The role of spatial context and multitask learning in the detection of organic and conventional farming systems based on Sentinel-2 time series
Organic farming is a key element in achieving more sustainable agriculture. For a better understanding of the development and impact of organic farming, comprehensive, spatially explicit informatio...
Jan Hemmerling, Marcel Schwieder, Philippe Rufin, Leon-Friedrich Thomas, Mirela Tulbure, Patrick ...
Detection of local geometry in random graphs: information-theoretic and computational limits
We study the problem of detecting local geometry in random graphs. We introduce a model $\mathcal{G}(n, p, d, k)$, where a hidden community of average size $k$ has edges drawn as a random geometric...
Jinho Bok, Shuangping Li, Sophie H. Yu
Radial Distribution Function in a Two Dimensional Core-Shoulder Particle System
An important quantity in liquid state theory is the radial distribution function $g(r)$. It can be calculated within the framework of classical density functional theory in two very distinct ways. ...
Michael Wassermair, Gerhard Kahl, Andrew J Archer, Roland Roth
Efficiency for Experts, Visibility for Newcomers: A Case Study of Label-Code Alignment in Kubernetes
Labels on platforms such as GitHub support triage and coordination, yet little is known about how well they align with code modifications or how such alignment affects collaboration across contribu...
Matteo Vaccargiu, Sabrina Aufiero, Silvia Bartolucci, Ronnie de Souza Santos, Roberto Tonelli, Gi...
Using Educational Comics in Physics Teaching for Chemistry and Biochemistry Students: Impact on Motivation and Domain-Specific Conceptual Gains
This study investigates the impact of educational comics as an active learning strategy in physics workshops for undergraduate students in Chemistry and Pharmacy and Biochemistry during the second ...
Mauricio Echiburu, Camilo Henriquez, Rodrigo Valdés, Cristobal Ríos
Robust synchrotron-based deep learning algorithm for intracochlear segmentation in clinical scans: development and international validation
Clinical imaging is routinely used for cochlear implant surgical planning yet lacks the resolution and contrast necessary to visualize the fine intracochlear structures critical for individualized ...
Ashley Micuda, Daniel Newsted, Nastaran Shakourifar, Sachin Pandey, Asma Alahmadi, Kevin D. Brown...
Conformalized Transfer Learning for Li-ion Battery State of Health Forecasting under Manufacturing and Usage Variability
Accurate forecasting of state-of-health (SOH) is essential for ensuring safe and reliable operation of lithium-ion cells. However, existing models calibrated on laboratory tests at specific conditi...
Samuel Filgueira da Silva, Mehmet Fatih Ozkan, Faissal El Idrissi, Marcello Canova
The VLT/ERIS grating vector Apodizing Phase Plate coronagraph
We describe the design, laboratory manufacture, and on-sky testing of the grating vector apodizing phase plate (gvAPP) coronagraph for the Enhanced Resolution Imager and Spectrograph (ERIS) on the ...
M. A. Kenworthy, F. A. Dannert, J. Hayoz, D. Doelman, B. J. Sutlieff, P. Liu, F. Snik, M. J. Bons...
Study of Low-Frequency Core-Edge Coupling in a Tokamak: II. Spatial Channeling & Focusing In Antenna-Driven MHD
Motivated by evidence for core-edge coupling in the form of double-peaked fishbone-like low-frequency modes ($\lesssim 20\,{\rm kHz}$) in KSTAR, which exhibit synchronized Alfvénic activity both in...
Andreas Bierwage, Wonjun Lee, Young-chul Ghim, Panith Adulsiriswad, Nobuyuki Aiba, Seungmin Bong,...
Stable corrections for perturbed diagonally implicit Runge--Kutta methods
A mixed accuracy framework for Runge--Kutta methods presented in Grant [JSC 2022] and applied to diagonally implicit Runge--Kutta (DIRK) methods can significantly speed up the computation by replac...
John Driscoll, Sigal Gottlieb, Zachary J. Grant, César Herrera, Tej Sai Kakumanu, Michael H. Sawi...
What and When to Learn: CURriculum Ranking Loss for Large-Scale Speaker Verification
Speaker verification at large scale remains an open challenge as fixed-margin losses treat all samples equally regardless of quality. We hypothesize that mislabeled or degraded samples introduce no...
Massa Baali, Sarthak Bisht, Rita Singh, Bhiksha Raj
Learning Response-Statistic Shifts and Parametric Roll Episodes from Wave--Vessel Time Series via LSTM Functional Models
Parametric roll is a rare but high-consequence instability that can trigger abrupt regime changes in ship response, including pronounced shifts in roll statistics and tail risk. This paper develops...
Jose del Aguila Ferrandis
Iterate to Differentiate: Enhancing Discriminability and Reliability in Zero-Shot TTS Evaluation
Reliable evaluation of modern zero-shot text-to-speech (TTS) models remains challenging. Subjective tests are costly and hard to reproduce, while objective metrics often saturate, failing to distin...
Shengfan Shen, Di Wu, Xingchen Song, Dinghao Zhou, Liumeng Xue, Meng Meng, Jian Luan, Shuai Wang
OneSearch-V2: The Latent Reasoning Enhanced Self-distillation Generative Search Framework
Generative Retrieval (GR) has emerged as a promising paradigm for modern search systems. Compared to multi-stage cascaded architecture, it offers advantages such as end-to-end joint optimization an...
Ben Chen, Siyuan Wang, Yufei Ma, Zihan Liang, Xuxin Zhang, Yue Lv, Ying Yang, Huangyu Dai, Lingta...
Reconstructing effective ultrasound transducer models via distributed source inversion
Accurate modeling of ultrasound wave propagation is essential for high-fidelity simulation and imaging in ultrasonic testing. A primary challenge lies in characterizing the excitation source, parti...
Tim Bürchner, Simon Schmid, Ernst Rank, Stefan Kollmannsberger, Andreas Fichtner
Teacher-Student Diffusion Model for Text-Driven 3D Hand Motion Generation
Generating realistic 3D hand motion from natural language is vital for VR, robotics, and human-computer interaction. Existing methods either focus on full-body motion, overlooking detailed hand ges...
Ching-Lam Cheng, Bin Zhu, Shengfeng He