Expertini Research Research

Browse Research Papers

67,220+ open-access research outputs.

✕ Clear
🔍 jose renau
Showing 67220 results for "jose renau"
Physics Preprint PDF DOI

Observation of Vinen turbulence during far-from-equilibrium Bose-Einstein condensation

Sebastian J. Morris, Martin Gazo, Simon M. Fischer, Haoyu Zhang, Christopher J. Ho, Nigel R. Cooper, Christoph Eigen, Zoran Hadzibabic · 2026

Relaxation of far-from-equilibrium quantum fluids, intimately related to the emergence of long-range order, is theoretically associated with the decay of a turbulent isotropic tangle of vortex lines. …

Read Paper →
AI & Data Science Preprint PDF DOI

Stop Holding Your Breath: CT-Informed Gaussian Splatting for Dynamic Bronchoscopy

Andrea Dunn Beltran, Daniel Rho, Aarav Mehta, Xinqi Xiong, Raul San Jose Estepar, Ron Alterovitz, Marc Niethammer, Roni Sengupta · 2026

Bronchoscopic navigation relies on registering endoscopic video to a preoperative CT scan, but respiratory motion deforms the airway by 5-20 mm, creating CT-to-body divergence that limits localization…

Read Paper →
AI & Data Science Preprint PDF DOI

Action Motifs: Self-Supervised Hierarchical Representation of Human Body Movements

Genki Kinoshita, Shu Nakamura, Ryo Kawahara, Shohei Nobuhara, Yasutomo Kawanishi, Ko Nishino · 2026

Effective human behavior modeling requires a representation of the human body movement that capitalizes on its compositionality. We propose a hierarchical representation consisting of Action Atoms tha…

Read Paper →
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)…

Read Paper →
AI & Data Science Preprint PDF DOI

Beyond Gaussian Bottlenecks: Topologically Aligned Encoding of Vision-Transformer Feature Spaces

Andrew Bond, Ilkin Umut Melanlioglu, Erkut Erdem, Aykut Erdem · 2026

Modern visual world modeling systems increasingly rely on high-capacity architectures and large-scale data to produce plausible motion, yet they often fail to preserve underlying 3D geometry or physic…

Read Paper →
Engineering Preprint PDF DOI

FreeOcc: Training-Free Embodied Open-Vocabulary Occupancy Prediction

Zeyu Jiang, Changqing Zhou, Xingxing Zuo, Changhao Chen · 2026

Existing learning-based occupancy prediction methods rely on large-scale 3D annotations and generalize poorly across environments. We present FreeOcc, a training-free framework for open-vocabulary occ…

Read Paper →
AI & Data Science Preprint PDF DOI

Echo-{\alpha}: Large Agentic Multimodal Reasoning Model for Ultrasound Interpretation

Jing Zhang, Wentao Jiang, Tao Huang, Zhiwei Wang, Jianxin Liu, Jian Chen, Ping Ye, Gang Wang, Zengmao Wang, Bo Du, Dacheng Tao · 2026

Ultrasound interpretation requires both precise lesion localization and holistic clinical reasoning, yet existing methods typically excel at only one of these capabilities: specialized detectors offer…

Read Paper →
Engineering Preprint PDF DOI

Dreaming Across Towns: Semantic Rollout and Town-Adversarial Regularization for Zero-Shot Held-Out-Town Fixed-Route Driving in CARLA

Feeza Khan Khanzada, Jaerock Kwon · 2026

Learned driving agents often degrade when deployed in unseen environments. This paper studies a deliberately bounded instance of that problem in the CARLA simulator: zero-shot transfer of a closed-loo…

Read Paper →
Computer Science Preprint PDF DOI

Affinity Tailor: Dynamic Locality-Aware Scheduling at Scale

Jin Xin Ng, Ori Livneh, Richard O'Grady, Josh Don, Peng Ding, Samuel Grossman, Luis Otero, Chris Kennelly, David Lo, Carlos Villavieja · 2026

Modern large multicore systems often run multiple workloads that share CPUs under schedulers such as Linux CFS. To keep CPUs busy, these schedulers load-balance runnable work, causing each workload to…

Read Paper →
Physics Preprint PDF DOI

No-Go Theorem for Quasiparticle BEC in the Spin-Boson Model

Yoshitsugu Sekine · 2026

We analyze the possibility of Bose-Einstein condensation (BEC) at finite temperature in the spin-boson model within the frameworks of functional integral representations and the resolvent algebra. Bec…

Read Paper →
Physics Preprint PDF DOI

Quantum integrable matrix models of spinor Bose gases in one spatial dimension

Hannes Koper, Thomas Gasenzer · 2026

Degenerate spinor Bose gases with repulsive density-density interaction and anti-ferromagnetic spin-spin coupling in one spatial dimension are shown to be described by a quantum integrable matrix exte…

Read Paper →
AI & Data Science Preprint PDF DOI

KellyBench: A Benchmark for Long-Horizon Sequential Decision Making

Thomas Grady, Kip Parker, Iliyan Zarov, Henry Course, Chengxi Taylor, Ross Taylor · 2026

Language models are saturating benchmarks for procedural tasks with narrow objectives. But they are increasingly being deployed in long-horizon, non-stationary environments with open-ended goals. In t…

Read Paper →
Computer Science Preprint PDF DOI

TwinGate: Stateful Defense against Decompositional Jailbreaks in Untraceable Traffic via Asymmetric Contrastive Learning

Bowen Sun, Chaozhuo Li, Yaodong Yang, Yiwei Wang, Chaowei Xiao · 2026

Decompositional jailbreaks pose a critical threat to large language models (LLMs) by allowing adversaries to fragment a malicious objective into a sequence of individually benign queries that collecti…

Read Paper →
Computer Science Preprint PDF DOI

WOOTdroid: Whole-system Online On-device Tracing for Android

Simon Althaus, Nikolaos Alexopoulos, Max Muhlhauser, Christian Reuter, Ephraim Zimmer · 2026

System auditing on Android faces two problems. First, existing syscall tracers lose events under load, silently overwriting entries faster than a user space reader can drain them. Second, security-rel…

Read Paper →
AI & Data Science Preprint PDF DOI

Hyper-Dimensional Fingerprints as Molecular Representations

Jonas Teufel, Luca Torresi, Andre Eberhard, Pascal Friederich · 2026

Computational molecular representations underpin virtual screening, property prediction, and materials discovery. Conventional fingerprints are efficient and deterministic but lose structural informat…

Read Paper →
Physics Preprint PDF DOI

Size-Limited Room Temperature Single-Photon Emission from Sidewall-Treated Fractional Dimension InGaN Quantum Dots: Determined by Density-of-States-Corrected Ultrafast Carrier Dynamics and Improved Signal-to-Noise Ratio

Pratim K. Saha · 2026

Room-temperature single-photon emission (SPE) resulting from a biexciton-exciton cascaded decay is demonstrated for the first time from chemically and photoelectrochemically etched site-controlled In0…

Read Paper →
Computer Science Preprint PDF DOI

Understanding Bugs in Template Engine-Based Applications: Symptoms, Root Causes, and Fix Patterns

Kai Gao, Yu Sun, Chang-ai Sun · 2026

Template engines are indispensable components in modern software ecosystems, enabling the generation of structured documents and scripts across domains such as web development, Infrastructure as Code,…

Read Paper →
AI & Data Science Preprint PDF DOI

One Single Hub Text Breaks CLIP: Identifying Vulnerabilities in Cross-Modal Encoders via Hubness

Hiroyuki Deguchi, Katsuki Chousa, Yusuke Sakai · 2026

The hubness problem, in which hub embeddings are close to many unrelated examples, occurs often in high-dimensional embedding spaces and may pose a practical threat for purposes such as information re…

Read Paper →
Biology & Life Sciences Preprint PDF DOI

A stochastic agent-based extension of the GSM2 model for particle therapy: cell-cycle dynamics, dose-rate dependence, and fractionation effects

Francesco G. Cordoni, Marco Battestini, Marta Missiaggia · 2026

Accurately linking microscopic energy deposition from ionizing radiation to emergent biological outcomes remains a central challenge in radiobiological modelling, particularly when stochastic damage i…

Read Paper →
Neuroscience Preprint PDF DOI

Simulating Infant First-Person Sensorimotor Experience via Motion Retargeting from Babies to Humanoids

Francisco M. Lopez, Hoshinori Kanazawa, Ondrej Fiala, Yakov Balashov, Valentin Marcel, Lukas Rustler, Miles Lenz, Dongmin Kim, Yasuo Kuniyoshi, Jochen Triesch, Matej Hoffmann · 2026

Motion retargeting from humans to human-like artificial agents is becoming increasingly important as humanoid robots grow more capable. However, most existing approaches focus only on reproducing kine…

Read Paper →
Page 1 of 3361 Next →