Tootfinder

VITA: Vision-to-Action Flow Matching Policy
Dechen Gao, Boqi Zhao, Andrew Lee, Ian Chuang, Hanchu Zhou, Hang Wang, Zhe Zhao, Junshan Zhang, Iman Soltani
https://arxiv.org/abs/2507.13231

VITA: Vision-to-Action Flow Matching Policy
We present VITA, a Vision-To-Action flow matching policy that evolves latent visual representations into latent actions for visuomotor control. Traditional flow matching and diffusion policies sample from standard source distributions (e.g., Gaussian noise) and require additional conditioning mechanisms like cross-attention to condition action generation on visual information, creating time and space overheads. VITA proposes a novel paradigm that treats latent images as the flow source, learnin…

Effect of construction steels on PMTs detection efficiency at JUNO
T. Yan (on behalf of JUNO collaboration), J. Songwadhana (on behalf of JUNO collaboration), A. Limphirat (on behalf of JUNO collaboration), Y. Yan (on behalf of JUNO collaboration), H. Lu (on behalf of JUNO collaboration), F. Ning (on behalf of JUNO collaboration), P. Zheng (on behalf of JUNO collaboration), C. Yang (on behalf of JUNO collaboration), G. Zhang (on behalf of JUNO collaboration), W. Sreethawong (on behalf …

Effect of construction steels on PMTs detection efficiency at JUNO
We study the impact of the carbon steel rebars and the steel TT bridge within the JUNO structure on the shielding effect of the coils. Our simulations demonstrate that despite the presence of carbon steel structures of the rebars of the water pool and the TT bridge within the central detector vicinity, the residual magnetic field experienced by the PMTs remains within the acceptable limit established by the JUNO experiment of 10% for CD-PMTs and 20% for Veto-PMTs, compared to the geomagnetic fi…

Yung Cook God makes sticky vegemite wings for pro athletes https://www.raiders.com/video/jackson-powers-johnson-yung-cook-god-sticky-vegemite-wings

Explaining the Reputational Risks of AI-Mediated Communication: Messages Labeled as AI-Assisted Are Viewed as Less Diagnostic of the Sender's Moral Character
Pranav Khadpe, Kimi Wenzel, George Loewenstein, Geoff Kaufman
https://arxiv.org/abs/2509.09645

Explaining the Reputational Risks of AI-Mediated Communication: Messages Labeled as AI-Assisted Are Viewed as Less Diagnostic of the Sender's Moral Character
When someone sends us a thoughtful message, we naturally form judgments about their character. But what happens when that message carries a label indicating it was written with the help of AI? This paper investigates how the appearance of AI assistance affects our perceptions of message senders. Adding nuance to previous research, through two studies (N=399) featuring vignette scenarios, we find that AI-assistance labels don't necessarily make people view senders negatively. Rather, they dampen…

Gradient-based search of quantum phases: discovering unconventional fractional Chern insulators
Andr\'e Grossi Fonseca, Eric Wang, Sachin Vaidya, Patrick J. Ledwith, Ashvin Vishwanath, Marin Solja\v{c}i\'c
https://arxiv.org/abs/2509.10438

Gradient-based search of quantum phases: discovering unconventional fractional Chern insulators
The discovery and understanding of new quantum phases has time and again transformed both fundamental physics and technology, yet progress often relies on slow, intuition-based theoretical considerations or experimental serendipity. Here, we introduce a general gradient-based framework for targeted phase discovery. We define a differentiable function, dubbed "target-phase loss function", which encodes spectral fingerprints of a quantum state, thereby recasting phase search as a tractable optimi…

Deep Neural Networks can eliminate Spiral-wave Turbulence in Cardiac Tissue Models
Vasanth Kumar Babu, Rahul Pandit
https://arxiv.org/abs/2509.09806 https://

Deep Neural Networks can eliminate Spiral-wave Turbulence in Cardiac Tissue Models
Ventricular arrhythmias, like ventricular tachycardia (VT) and ventricular fibrillation (VF), precipitate sudden cardiac death (SCD), which is the leading cause of mortality in the industrialised world. Thus, the elimination of VT and VF is a problem of paramount importance, which is studied experimentally, theoretically, and numerically. Numerical studies use partial-differential-equation models, for cardiac tissue, which admit solutions with spiral- or broken-spiral-wave solutions that are th…

Idag är det ett år sedan jag vaknade upp på Karolinska sjukhuset ur min narkos och försökte sortera i bruset av aktivitet. Runt omkring mig vårdpersonal, måna om att jag mår bra. Ställer kontrollfrågor. Vill förstå om jag vet var jag är. Berättar att allt gått bra. Jag tror jag har ett dimmigt minne av att jag fick ringa min fru ganska snabbt… det är lite av ett töcken. Men jag minns hennes röst.

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Average-field approximation for very dilute almost-bosonic anyon gases
Fran\c{c}ois Louis Antoine Visconti
https://arxiv.org/abs/2507.01102 https://…

Average-field approximation for very dilute almost-bosonic anyon gases
We study the ground state of a system of $N$ two-dimensional trapped almost-bosonic anyons subject to an external magnetic field. This setup can equivalently be viewed as bosons interacting through long-range magnetic potentials generated by magnetic charges carried by each particle. These magnetic charges are assumed to be smeared over discs of radius $R$ - a model known as extended anyons. To recover the point-like anyons perspective, we consider the joint limit $R \rightarrow 0$ as $N \right…

MimicFunc: Imitating Tool Manipulation from a Single Human Video via Functional Correspondence
Chao Tang, Anxing Xiao, Yuhong Deng, Tianrun Hu, Wenlong Dong, Hanbo Zhang, David Hsu, Hong Zhang
https://arxiv.org/abs/2508.13534

MimicFunc: Imitating Tool Manipulation from a Single Human Video via Functional Correspondence
Imitating tool manipulation from human videos offers an intuitive approach to teaching robots, while also providing a promising and scalable alternative to labor-intensive teleoperation data collection for visuomotor policy learning. While humans can mimic tool manipulation behavior by observing others perform a task just once and effortlessly transfer the skill to diverse tools for functionally equivalent tasks, current robots struggle to achieve this level of generalization. A key challenge l…

An Investigation of Visual Foundation Models Robustness
Sandeep Gupta, Roberto Passerone
https://arxiv.org/abs/2508.16225 https://arxiv.org/pdf/2508.16225

An Investigation of Visual Foundation Models Robustness
Visual Foundation Models (VFMs) are becoming ubiquitous in computer vision, powering systems for diverse tasks such as object detection, image classification, segmentation, pose estimation, and motion tracking. VFMs are capitalizing on seminal innovations in deep learning models, such as LeNet-5, AlexNet, ResNet, VGGNet, InceptionNet, DenseNet, YOLO, and ViT, to deliver superior performance across a range of critical computer vision applications. These include security-sensitive domains like bi…