Expertini Research Research

Browse Research Papers

218,502+ open-access research outputs.

โœ• Clear
๐Ÿ” eric strobl
Showing 218502 results for "eric strobl"
AI & Data Science Preprint PDF DOI

When Does Structure Matter in Continual Learning? Dimensionality Controls When Modularity Shapes Representational Geometry

Kathrin Korte, Joachim Winter Pedersen, Eleni Nisioti, Sebastian Risi ยท 2026

To preserve previously learned representations, continual learning systems must strike a balance between plasticity, the ability to acquire new knowledge, and stability. This stability-plasticity dileโ€ฆ

Read Paper โ†’
Physics Preprint PDF DOI

Long-range states in collisions of ultracold molecules

James F. E. Croft, Brian K. Kendrick, Jeremy M. Hutson ยท 2026

We use coupled-channel calculations to explore the nature of near-threshold bound states in a simplified model of Rb+KRb. This is a prototype for systems with very strong coupling at short range and cโ€ฆ

Read Paper โ†’
AI & Data Science Preprint PDF DOI

Robust Lightweight Crack Classification for Real-Time UAV Bridge Inspection

Wei Li, Haisheng Li, Weijie Li, Jiandong Wang, Kaichen Ma, Luming Yang ยท 2026

With the widespread application of Unmanned Aerial Vehicles (UAVs) in bridge structural health monitoring, deep learning-based automatic crack detection has become a major research focus. However, praโ€ฆ

Read Paper โ†’
Physics Preprint PDF DOI

Quantum Magnetometry with Orientation beyond Steady-State Limits in Cavity-Magnon Systems

Zheng Liu, Ding-hui Xu, Yi-jia Yang, Chang-shui Yu ยท 2026

We present a transient quantum sensing framework for cavity-magnon systems that circumvents the inevitable loss of initial-state quantum properties plaguing conventional steady-state protocols. Explicโ€ฆ

Read Paper โ†’
Physics Preprint PDF DOI

Dense cores and filaments in M16: Enhanced formation efficiency in the stellar feedback-driven shell

Nageen Pervaiz, Guo-Yin Zhang, Alexander Men'shchikov, Jin-Zeng Li ยท 2026

We present a comprehensive analysis of dense cores and filamentary structures in the M16 Eagle Nebula using high-resolution ($11.7^{\prime\prime}$) surface density and temperature maps derived from \tโ€ฆ

Read Paper โ†’
AI & Data Science Preprint PDF DOI

Assessing Pancreatic Ductal Adenocarcinoma Vascular Invasion: the PDACVI Benchmark

M. Riera-Marin, O. K. Sikha, J. Rodriguez-Comas, M. S. May, T. Kirscher, X. Coubez, P. Meyer, S. Faisan, Z. Pan, X. Zhou, X. Liang, C. Hemon, V. Boussot, J.-L. Dillenseger, J.-C. Nunes, K.-C. Kahl, C. Luth, J. Traub, P.-H. Conze, M. M. Duh, A. Aubanell, R. de Figueiredo Cardoso, S. Egger-Hackenschmidt, J. Garcia-Lopez, M. A. Gonzalez-Ballester, A. Galdran ยท 2026

Surgical resection remains the only potentially curative treatment for pancreatic ductal adenocarcinoma (PDAC), and eligibility depends on accurate assessment of vascular invasion (VI), i.e., tumor exโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

SandSim: Curve-Guided Gaussian Splatting for Reconstructing Sand Painting Processes

Yilin Wang, Haojie Huang, Chen Li, Yang Li, Changbo Wang, Chenhui Li ยท 2026

Sand painting is a process-driven art where visual appearance emerges from granular accumulation. Given a single image, reconstructing a plausible sand painting process requires modeling coherent stroโ€ฆ

Read Paper โ†’
AI & Data Science Preprint PDF DOI

Self-Supervised Learning of Plant Image Representations

Ilyass Moummad, Kawtar Zaher, Herve Goeau, Jean-Christophe Lombardo, Pierre Bonnet, Alexis Joly ยท 2026

Automated plant recognition plays a crucial role in biodiversity monitoring and conservation, yet current approaches rely heavily on supervised learning, which is limited by the availability of expertโ€ฆ

Read Paper โ†’
AI & Data Science Preprint PDF DOI

Adjoint Inversion Reveals Holographic Superposition and Destructive Interference in CNN Classifiers

Kaixiang Shu ยท 2026

A foundational assumption in CNN interpretability -- that deep encoders suppress background pixels while classifiers merely select from a cleaned feature pool (the Spatial Funnel Hypothesis) -- remainโ€ฆ

Read Paper โ†’
AI & Data Science Preprint PDF DOI

REVIVE 3D: Refinement via Encoded Voluminous Inflated prior for Volume Enhancement

Hankyeol Lee, Wooyeol Baek, Seongdo Kim, Jongyoo Kim ยท 2026

Recent generative models have shown strong performance in generating diverse 3D assets from 2D images, a fundamental research topic in computer vision and graphics. However, these models still strugglโ€ฆ

Read Paper โ†’
Physics Preprint PDF DOI

X-Ray Spectral Variability of the TeV HBL Blazar PG 1553+113 with XMM-Newton

P. U. Devanand, Alok C. Gupta, Paul J. Wiita, V. Jithesh, Archana Gupta ยท 2026

We present an extensive X-ray spectral variability study of the TeV photon-emitting high-energy-peaked BL Lacertae object PG 1553+113, using the data from EPIC-PN camera of XMM-Newton, which observed โ€ฆ

Read Paper โ†’
AI & Data Science Preprint PDF DOI

Towards All-Day Perception for Off-Road Driving: A Large-Scale Multispectral Dataset and Comprehensive Benchmark

Shuo Wang, Jilin Mei, Wenfei Guan, Shuai Wang, Yan Xing, Chen Min, Yu Hu ยท 2026

Off-road nighttime autonomous driving suffers from unreliable visible-light perception, making infrared modality crucial for accurate freespace detection. However, progress remains limited due to the โ€ฆ

Read Paper โ†’
AI & Data Science Preprint PDF DOI

EdgeFM: Efficient Edge Inference for Vision-Language Models

Mengling Deng, Yuanpeng Chen, Sheng Yang, Wei Tao, Wenhai Zhang, Hui Song, Linyuanhao Qin, Kai Zhao, Xiaojun Ye, Shanhui Mo, Jingli Fan, Shuang Zhang, Bei Liu, Tiankun Zhao, Xiangjing An ยท 2026

Vision-language models (VLMs) have demonstrated strong applicability in edge industrial applications, yet their deployment remains severely constrained by requirements for deterministic low latency anโ€ฆ

Read Paper โ†’
Mathematics Preprint PDF DOI

Gromov-Hausdorff Convergence of Spectral Truncations for Quantum Groups

Xintao Peng, Qin Wang ยท 2026

We study the quantum Gromov-Hausdorff convergence of spectral truncations for compact quantum groups. Using a proper length function, we define a Dirac operator and the associated spectral truncationsโ€ฆ

Read Paper โ†’
AI & Data Science Preprint PDF DOI

PRTS: A Primitive Reasoning and Tasking System via Contrastive Representations

Yang Zhang, Jiangyuan Zhao, Chenyou Fan, Fangzheng Yan, Tian Li, Haitong Tang, Sen Fu, Xuan'er Wu, Qizhen Weng, Weinan Zhang, Xiu Li, Chi Zhang, Chenjia Bai, Xuelong Li ยท 2026

Vision-Language-Action (VLA) models advance robotic control via strong visual-linguistic priors. However, existing VLAs predominantly frame pretraining as supervised behavior cloning, overlooking the โ€ฆ

Read Paper โ†’
AI & Data Science Preprint PDF DOI

HealthBench Professional: Evaluating Large Language Models on Real Clinician Chats

Rebecca Soskin Hicks, Mikhail Trofimov, Dominick Lim, Rahul K. Arora, Foivos Tsimpourlas, Preston Bowman, Michael Sharman, Chi Tong, Kavin Karthik, Arnav Dugar, Akshay Jagadeesh, Khaled Saab, Johannes Heidecke, Ashley Alexander, Nate Gross, Karan Singhal ยท 2026

Millions of clinicians use ChatGPT to support clinical care, but evaluations of the most common use cases in model-clinician conversations are limited. We introduce HealthBench Professional, an open bโ€ฆ

Read Paper โ†’
AI & Data Science Preprint PDF DOI

From Coarse to Fine: Benchmarking and Reward Modeling for Writing-Centric Generation Tasks

Qingyu Ren, Tianjun Pan, Xingzhou Chen, Xuhong Wang ยท 2026

Large language models have achieved remarkable progress in text generation but still struggle with generative writing tasks. In terms of evaluation, existing benchmarks evaluate writing reward models โ€ฆ

Read Paper โ†’
Mathematics Preprint PDF DOI

A class of Exel--Laca algebras reciprocal to Cuntz--Krieger algebras

Kengo Matsumoto, Taro Sogabe ยท 2026

The reciprocality means a duality in Kirchberg algebras between K-theory groups and strong extension groups. In the paper, we will find a certain class of unital simple Exel--Laca algebras for which tโ€ฆ

Read Paper โ†’
AI & Data Science Preprint PDF DOI

Context as Prior: Bayesian-Inspired Intent Inference for Non-Speaking Agents with a Household Cat Testbed

Wenqian Zhang, Zehao Wang ยท 2026

Many agents in real-world environments cannot reliably communicate their goals through language, including household pets, pre-verbal infants, and other non-speaking embodied agents. In such settings,โ€ฆ

Read Paper โ†’
Physics Preprint PDF DOI

Electrothermal Dynamics of Cold Front in Impure Tokamak Plasmas

S. Oshiro, A. Matsuyama, Y. Nakamura ยท 2026

Current density perturbations induced by radiative collapse, which is a possible mechanism governing tokamak plasma disruptions, have been investigated using a reaction-diffusion model. The reaction tโ€ฆ

Read Paper โ†’
โ† Prev Page 4 of 10926 Next โ†’