Tootfinder

Luxembourg #publication 20.5.2025
L'initiative stratégique "Accélérer la Souveraineté Numérique 2030"
• La stratégie du Luxembourg en matière d'intelligence artificielle
pdf:

UK 2025 #Publication
Severe Space Weather Impacts on UK Critical National Infrastructure
A Space weather instrumentation, measurement, modelling and risk (#SWIMMR) Project Report
Priority Recommendation CS6 : "That government and other policymakers ensure that s…

https://www.tageblatt.lu/headlines/europa-muss-schluss-machen-mit-zweierlei-mass-gegenueber-israel/

Editorial / Europa muss Schluss machen mit zweierlei Maß gegenüber Israel
Mit der neuen Offensive der israelischen Armee am Wochenende wird die Zerstörung des Gazastreifens weiter vorangetrieben, die Bevölkerung weiter dezimiert. Luxemburgs Außenminister Xavier Bettel hatte recht, als er vergangene Woche sagte, dass es sich hier längst nicht mehr um Selbstverteidigung handelt, die die internationale Gemeinschaft Israel noch nach dem Terrorüberfall der Hamas am 7. Oktober...

We are Toronto’s GrapheneOS, Qubes OS, Linux, and free and open software and hardware weekly meetup! Join us this coming Monday when we will talk about those things and how they relate to a free and open society. As usual, there will be pizza! The next meetup is March 24th starting at 6 PM, Victory Cafe, 440 Bloor St. W. RSVP! Or not! Just look for the sign when you get there. #Toronto

J'ai lu le très bon billet d' @… sur #Kloset, moteur de stockage de backup de #Plakar

CVE-2011-10007 was actually published on
2025-06-05.
🔗 Vulnerability details https://vulnerability.circl.lu/vuln/CVE-2011-10007
🔗 Details

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Victory Cafe is open today, which is Victoria Day! So we will hold Tech Pizza Monday tonight! #Toronto #tech #pizza

Temu entered into a US data storage deal with Oracle last week and offered few details, but says it is part of an effort to localize more of its US operations (Shen Lu/Wall Street Journal)
https://www.wsj.com/tech/temu-battles-tikt

CC-LEARN: Cohort-based Consistency Learning
Xiao Ye, Shaswat Shrivastava, Zhaonan Li, Jacob Dineen, Shijie Lu, Avneet Ahuja, Ming Shen, Zhikun Xu, Ben Zhou
https://arxiv.org/abs/2506.15662

CC-LEARN: Cohort-based Consistency Learning
Large language models excel at many tasks but still struggle with consistent, robust reasoning. We introduce Cohort-based Consistency Learning (CC-Learn), a reinforcement learning framework that improves the reliability of LLM reasoning by training on cohorts of similar questions derived from shared programmatic abstractions. To enforce cohort-level consistency, we define a composite objective combining cohort accuracy, a retrieval bonus for effective problem decomposition, and a rejection pena…

Quantum Parameter Estimation Uncertainty Relation
Bing-Shu Hu, Xiao-Ming Lu
https://arxiv.org/abs/2506.15352 https://arxiv.org/pdf/25…

Quantum Parameter Estimation Uncertainty Relation
Quantum multiparameter estimation aims to simultaneously estimate multiple parameters from observing quantum systems and data processing. The complexity of quantum multiparameter estimation arises primarily from measurement incompatibility and parameter correlations. By manipulating the multidimensional parameter space, we derive an estimation uncertainty relation that captures the impact of measurement incompatibility and parameter correlation on quantum two-parameter estimation. This uncertai…

An Empirical Study of Bugs in Data Visualization Libraries
Weiqi Lu, Yongqiang Tian, Xiaohan Zhong, Haoyang Ma, Zhenyang Xu, Shing-Chi Cheung, Chengnian Sun
https://arxiv.org/abs/2506.15084

An Empirical Study of Bugs in Data Visualization Libraries
Data visualization (DataViz) libraries play a crucial role in presentation, data analysis, and application development, underscoring the importance of their accuracy in transforming data into visual representations. Incorrect visualizations can adversely impact user experience, distort information conveyance, and influence user perception and decision-making processes. Visual bugs in these libraries can be particularly insidious as they may not cause obvious errors like crashes, but instead mis…

3D Vision-tactile Reconstruction from Infrared and Visible Images for Robotic Fine-grained Tactile Perception
Yuankai Lin, Xiaofan Lu, Jiahui Chen, Hua Yang
https://arxiv.org/abs/2506.15087

3D Vision-tactile Reconstruction from Infrared and Visible Images for Robotic Fine-grained Tactile Perception
To achieve human-like haptic perception in anthropomorphic grippers, the compliant sensing surfaces of vision tactile sensor (VTS) must evolve from conventional planar configurations to biomimetically curved topographies with continuous surface gradients. However, planar VTSs have challenges when extended to curved surfaces, including insufficient lighting of surfaces, blurring in reconstruction, and complex spatial boundary conditions for surface structures. With an end goal of constructing a …

Structured Moral Reasoning in Language Models: A Value-Grounded Evaluation Framework
Mohna Chakraborty, Lu Wang, David Jurgens
https://arxiv.org/abs/2506.14948

Structured Moral Reasoning in Language Models: A Value-Grounded Evaluation Framework
Large language models (LLMs) are increasingly deployed in domains requiring moral understanding, yet their reasoning often remains shallow, and misaligned with human reasoning. Unlike humans, whose moral reasoning integrates contextual trade-offs, value systems, and ethical theories, LLMs often rely on surface patterns, leading to biased decisions in morally and ethically complex scenarios. To address this gap, we present a value-grounded framework for evaluating and distilling structured moral…

Special Cases of the Shafarevich Conjecture for Complete Intersections in Abelian Varieties
Frank Lu
https://arxiv.org/abs/2506.14935 https://

Special Cases of the Shafarevich Conjecture for Complete Intersections in Abelian Varieties
In this paper, we prove the Shafarevich conjecture for certain complete intersections of hypersurfaces in abelian varieties defined over a number field $K$ using the Lawrence-Venkatesh method. The main new inputs we need are computation of certain Euler characteristics of these complete intersections and a big monodromy statement for the variation of Hodge structure arising from the middle cohomology of a family of such complete intersections. Following \cite{ls25}, we prove the latter by relat…

Replaced article(s) found for math.AG. https://arxiv.org/list/math.AG/new
[1/1]:
- Finiteness of pointed maps to moduli spaces of polarized varieties
Ariyan Javanpeykar, Steven Lu, Ruiran Sun, Kang Zuo

Collaborative Editable Model
Kaiwen Tang, Aitong Wu, Yao Lu, Guangda Sun
https://arxiv.org/abs/2506.14146 https://arxiv.org/pdf/2506.…

Collaborative Editable Model
Vertical-domain large language models (LLMs) play a crucial role in specialized scenarios such as finance, healthcare, and law; however, their training often relies on large-scale annotated data and substantial computational resources, impeding rapid development and continuous iteration. To address these challenges, we introduce the Collaborative Editable Model (CoEM), which constructs a candidate knowledge pool from user-contributed domain snippets, leverages interactive user-model dialogues c…

YOLOv11-RGBT: Towards a Comprehensive Single-Stage Multispectral Object Detection Framework
Dahang Wan, Rongsheng Lu, Yang Fang, Xianli Lang, Shuangbao Shu, Jingjing Chen, Siyuan Shen, Ting Xu, Zecong Ye
https://arxiv.org/abs/2506.14696

YOLOv11-RGBT: Towards a Comprehensive Single-Stage Multispectral Object Detection Framework
Multispectral object detection, which integrates information from multiple bands, can enhance detection accuracy and environmental adaptability, holding great application potential across various fields. Although existing methods have made progress in cross-modal interaction, low-light conditions, and model lightweight, there are still challenges like the lack of a unified single-stage framework, difficulty in balancing performance and fusion strategy, and unreasonable modality weight allocatio…

Screen Hijack: Visual Poisoning of VLM Agents in Mobile Environments
Xuan Wang, Siyuan Liang, Zhe Liu, Yi Yu, Yuliang Lu, Xiaochun Cao, Ee-Chien Chang
https://arxiv.org/abs/2506.13205

Screen Hijack: Visual Poisoning of VLM Agents in Mobile Environments
With the growing integration of vision-language models (VLMs), mobile agents are now widely used for tasks like UI automation and camera-based user assistance. These agents are often fine-tuned on limited user-generated datasets, leaving them vulnerable to covert threats during the training process. In this work we present GHOST, the first clean-label backdoor attack specifically designed for mobile agents built upon VLMs. Our method manipulates only the visual inputs of a portion of the traini…

@…
J’avais lu un truc qui disait qu’un partie des gens arrivent pas a voir les expressions des chats.

AIFoundry invites you to the 2nd edition of the AI Plumbers Conference, a meetup for low-level AI builders who value real conversations over keynote slides and for anyone working in modern data infrastructure, machine learning and open-source software projects. Connect, swap ideas and collaborate, free from the pressure of constant talks.
📅 When: June 15, 2025 – 10 am
📍 Where: GLS Event Campus Berlin, Kastanienallee 82 | 10435 Berlin
Register now:

AI Plumbers conference: 2nd edition · Luma
AIFoundry is bringing you the AI Plumbers Conference: 2nd edition — an open source meetup for low-level AI builders to dive deep into "the plumbing" of modern…

From Model to Classroom: Evaluating Generated MCQs for Portuguese with Narrative and Difficulty Concerns
Bernardo Leite, Henrique Lopes Cardoso, Pedro Pinto, Abel Ferreira, Lu\'is Abreu, Isabel Rangel, Sandra Monteiro
https://arxiv.org/abs/2506.15598

From Model to Classroom: Evaluating Generated MCQs for Portuguese with Narrative and Difficulty Concerns
While MCQs are valuable for learning and evaluation, manually creating them with varying difficulty levels and targeted reading skills remains a time-consuming and costly task. Recent advances in generative AI provide an opportunity to automate MCQ generation efficiently. However, assessing the actual quality and reliability of generated MCQs has received limited attention -- particularly regarding cases where generation fails. This aspect becomes particularly important when the generated MCQs …

🇺🇦 #NowPlaying on #BBC6Music's #SHERELLE
Luke Vibert:
🎵 Bullet Drop
#LukeVibert
https://planetmu.bandcamp.com/track/luke-vibert-bullet-drop
https://open.spotify.com/track/03po2aLs6EJ9E4uiUSsi3r

Luxembourg's strategic vision for AI seems quite sensible https://innovative-initiatives.public.lu/initiatives/artificial-intelligence-strategic-vision-luxembourg

Scalar Triple-Heavy Tetraquark States With Quark Content $cc\bar{c}\bar{s}$
Yong-Jiang Xu, Luo-Geng Tian, Yuan Li, Jin-Yun Wu, Yong-Lu Liu, Ming-Qiu Huang
https://arxiv.org/abs/2506.14527

Scalar Triple-Heavy Tetraquark States With Quark Content $cc\bar{c}\bar{s}$
In this paper, we study the scalar triple-heavy tetraquark states with quark content $cc\bar{c}\bar{s}$, $η_{c}D_{s}$ molecular state and $[cc]_{A(T)}[\bar{c}\bar{s}]_{A(T)}$ compact tetraquark states, by the QCD sum rule method. First, we construct the needed interpolating currents, $J^{M}(x)$, $J^{T_{1}}(x)$, and $J^{T_{2}}(x)$. Then, we derive the sum rules for the masses and the current coupling constants. Finally, we numerically analyze these sum rules, and find $m_{M}=4.9392^{+0.0851}_{-…

LPO: Towards Accurate GUI Agent Interaction via Location Preference Optimization
Jiaqi Tang, Yu Xia, Yi-Feng Wu, Yuwei Hu, Yuhui Chen, Qing-Guo Chen, Xiaogang Xu, Xiangyu Wu, Hao Lu, Yanqing Ma, Shiyin Lu, Qifeng Chen
https://arxiv.org/abs/2506.09373

LPO: Towards Accurate GUI Agent Interaction via Location Preference Optimization
The advent of autonomous agents is transforming interactions with Graphical User Interfaces (GUIs) by employing natural language as a powerful intermediary. Despite the predominance of Supervised Fine-Tuning (SFT) methods in current GUI agents for achieving spatial localization, these methods face substantial challenges due to their limited capacity to accurately perceive positional data. Existing strategies, such as reinforcement learning, often fail to assess positional accuracy effectively, …

A Comprehensive Survey on Underwater Acoustic Target Positioning and Tracking: Progress, Challenges, and Perspectives
Zhong Yang, Zhengqiu Zhu, Yong Zhao, Yonglin Tian, Changjun Fan, Runkang Guo, Wenhao Lu, Jingwei Ge, Bin Chen, Yin Zhang, Guohua Wu, Rui Wang, Gyorgy Eigner, Guangquan Cheng, Jincai Huang, Zhong Liu, Jun Zhang, Imre J. Rudas, Fei-Yue Wang

A Comprehensive Survey on Underwater Acoustic Target Positioning and Tracking: Progress, Challenges, and Perspectives
Underwater target tracking technology plays a pivotal role in marine resource exploration, environmental monitoring, and national defense security. Given that acoustic waves represent an effective medium for long-distance transmission in aquatic environments, underwater acoustic target tracking has become a prominent research area of underwater communications and networking. Existing literature reviews often offer a narrow perspective or inadequately address the paradigm shifts driven by emergi…

SurfAAV: Design and Implementation of a Novel Multimodal Surfing Aquatic-Aerial Vehicle
Kun Liu, Junhao Xiao, Hao Lin, Yue Cao, Hui Peng, Kaihong Huang, Huimin Lu
https://arxiv.org/abs/2506.15450

SurfAAV: Design and Implementation of a Novel Multimodal Surfing Aquatic-Aerial Vehicle
Despite significant advancements in the research of aquatic-aerial robots, existing configurations struggle to efficiently perform underwater, surface, and aerial movement simultaneously. In this paper, we propose a novel multimodal surfing aquatic-aerial vehicle, SurfAAV, which efficiently integrates underwater navigation, surface gliding, and aerial flying capabilities. Thanks to the design of the novel differential thrust vectoring hydrofoil, SurfAAV can achieve efficient surface gliding and…

Posterior contraction rates of computational methods for Bayesian data assimilation
Erik Burman, Mingfei Lu
https://arxiv.org/abs/2506.14685 https://

Posterior contraction rates of computational methods for Bayesian data assimilation
In this paper, we analyze posterior consistency of a Bayesian data assimilation problem under discretization. We prove convergence rates for the discrete posterior to ground truth solution under both conforming discretization and finite element discretization (usually non-conforming). The analysis is based on the coupling of asymptotics between the number of samples and the dimension of discrete spaces. In the finite element discretization, tailor-made discrete priors, instead of the discretiza…

Bulk Spacetime Encoding via Boundary Ambiguities
Zhenkang Lu, Cheng Ran, Shao-feng Wu
https://arxiv.org/abs/2506.12890 https://arxiv.…

Bulk Spacetime Encoding via Boundary Ambiguities
We propose a method to reconstruct the exterior of a static, planar-symmetric black hole from an infinite set of discrete momentum-space locations, known as pole-skipping points, where the boundary Green's function becomes ambiguous. The reconstruction is fully analytical and involves solving only linear equations. It further enables a reinterpretation of any pure gravitational field equation in pole-skipping data. Moreover, our method reveals that the pole-skipping points are redundant: only a…

Serving Large Language Models on Huawei CloudMatrix384
Pengfei Zuo, Huimin Lin, Junbo Deng, Nan Zou, Xingkun Yang, Yingyu Diao, Weifeng Gao, Ke Xu, Zhangyu Chen, Shirui Lu, Zhao Qiu, Peiyang Li, Xianyu Chang, Zhengzhong Yu, Fangzheng Miao, Jia Zheng, Ying Li, Yuan Feng, Bei Wang, Zaijian Zong, Mosong Zhou, Wenli Zhou, Houjiang Chen, Xingyu Liao, Yipeng Li, Wenxiao Zhang, Ping Zhu, Yinggang Wang, Chuanjie Xiao, Depeng Liang, Dong Cao, Juncheng Liu, Yongqiang Yang, Xiaolong Bai, Yi Li, H…

Serving Large Language Models on Huawei CloudMatrix384
The rapid evolution of large language models (LLMs), driven by growing parameter scales, adoption of mixture-of-experts (MoE) architectures, and expanding context lengths, imposes unprecedented demands on AI infrastructure. Traditional AI clusters face limitations in compute intensity, memory bandwidth, inter-chip communication, and latency, compounded by variable workloads and strict service-level objectives. Addressing these issues requires fundamentally redesigned hardware-software integrati…

Stacked Intelligent Metasurfaces for Multi-Modal Semantic Communications
Guojun Huang, Jiancheng An, Lu Gan, Dusit Niyato, M\'erouane Debbah, Tie Jun Cui
https://arxiv.org/abs/2506.12368

Stacked Intelligent Metasurfaces for Multi-Modal Semantic Communications
Semantic communication (SemCom) powered by generative artificial intelligence enables highly efficient and reliable information transmission. However, it still necessitates the transmission of substantial amounts of data when dealing with complex scene information. In contrast, the stacked intelligent metasurface (SIM), leveraging wave-domain computing, provides a cost-effective solution for directly imaging complex scenes. Building on this concept, we propose an innovative SIM-aided multi-moda…

🇺🇦 #NowPlaying on KEXP's #VarietyMix
Joe Armon‐Jones feat. Greentea Peng & Wu-Lu:
🎵 Another Place
#JoeArmonJones #GreenteaPeng #WuLu
https://open.spotify.com/track/5iCYvkgXKa0v9BEjoRAfTy

Resilience Measures for the Surrogate Paradox
Emily Hsiao, Lu Tian, Layla Parast
https://arxiv.org/abs/2506.12194 https://arxiv.org/p…

Resilience Measures for the Surrogate Paradox
Surrogate markers are often used in clinical trials to evaluate treatment effects when primary outcomes are costly, invasive, or take a long time to observe. However, reliance on surrogates can lead to the surrogate paradox, where a treatment appears beneficial based on the surrogate but is actually harmful with respect to the primary outcome. In this paper, we propose formal measures to assess resilience against the surrogate paradox. Our setting assumes an existing study in which the surrogat…

Mxplainer: Explain and Learn Insights by Imitating Mahjong Agents
Lingfeng Li, Yunlong Lu, Yongyi Wang, Qifan Zheng, Wenxin Li
https://arxiv.org/abs/2506.14246

Mxplainer: Explain and Learn Insights by Imitating Mahjong Agents
People need to internalize the skills of AI agents to improve their own capabilities. Our paper focuses on Mahjong, a multiplayer game involving imperfect information and requiring effective long-term decision-making amidst randomness and hidden information. Through the efforts of AI researchers, several impressive Mahjong AI agents have already achieved performance levels comparable to those of professional human players; however, these agents are often treated as black boxes from which few in…

Formation Channels of Gravitationally Resolvable Double White Dwarf Binaries Inside Globular Clusters
Lucas Hellstr\"om, Miros{\l}aw Giersz, Abbas Askar, Arkadiusz Hypki, Yuetong Zhao, Youjun Lu, Siqi Zhang, Ver\'onica V\'azquez-Aceves, Grzegorz Wiktorowicz
https://arxiv.org/abs/2506.13122

Formation Channels of Gravitationally Resolvable Double White Dwarf Binaries Inside Globular Clusters
Current gravitational wave detectors are sensitive to coalescing black holes and neutron stars. However, double white dwarfs (DWDs) have long been recognized as promising sources of gravitational waves, and upcoming detectors like LISA will be able to observe these systems in abundance. DWDs are expected to be the dominant gravitational wave (GW) sources in parts of the LISA frequency range, making it crucial to understand their formation for future detections. The Milky Way contains many white…

Gravitational wave propagation in hybrid metric-Palatini gravity
Cl\'audio Gomes, Jo\~ao Lu\'is Rosa, Miguel A. S. Pinto
https://arxiv.org/abs/2506.12870

Gravitational wave propagation in hybrid metric-Palatini gravity
In this work we analyze the propagation properties of gravitational waves in the hybrid metric-Palatini gravity theory. We introduce the scalar-tensor representation of the theory to make explicit the scalar degrees of freedom of the theory and obtain their equations of motion in a form decoupled from the metric tensor. Then, we introduce linear perturbations for the metric tensor and for the two scalar fields and obtain the propagation equations for these three quantities. We analyzed the theo…

KINDLE: Knowledge-Guided Distillation for Prior-Free Gene Regulatory Network Inference
Rui Peng, Yuchen Lu, Qichen Sun, Yuxing Lu, Chi Zhang, Ziru Liu, Jinzhuo Wang
https://arxiv.org/abs/2505.09664

KINDLE: Knowledge-Guided Distillation for Prior-Free Gene Regulatory Network Inference
Gene regulatory network (GRN) inference serves as a cornerstone for deciphering cellular decision-making processes. Early approaches rely exclusively on gene expression data, thus their predictive power remain fundamentally constrained by the vast combinatorial space of potential gene-gene interactions. Subsequent methods integrate prior knowledge to mitigate this challenge by restricting the solution space to biologically plausible interactions. However, we argue that the effectiveness of thes…

Asymptotic Expansion of the Gaussian Integral Operators on Riemannian submanifolds of $\mathbb{R}^{n}$
Jia-Ming (Frank), Liou, Chi-Chien Lu
https://arxiv.org/abs/2506.13238

Asymptotic Expansion of the Gaussian Integral Operators on Riemannian submanifolds of $\mathbb{R}^{n}$
The Gaussian integral operator arises naturally as a local Euclidean approximation of the heat semigroup on a Riemannian manifold and plays a pivotal role in the analysis of graph Laplacians, particularly within the frameworks of manifold learning and spectral graph theory. In this paper, we study the asymptotic behavior of the Gaussian integral operator on a smooth Riemannian submanifold \( M \subset \mathbb{R}^n \), focusing on its expansion as \( \varepsilon \to 0^+ \). Under the assumption …

StreamMel: Real-Time Zero-shot Text-to-Speech via Interleaved Continuous Autoregressive Modeling
Hui Wang, Yifan Yang, Shujie Liu, Jinyu Li, Lingwei Meng, Yanqing Liu, Jiaming Zhou, Haoqin Sun, Yan Lu, Yong Qin
https://arxiv.org/abs/2506.12570

StreamMel: Real-Time Zero-shot Text-to-Speech via Interleaved Continuous Autoregressive Modeling
Recent advances in zero-shot text-to-speech (TTS) synthesis have achieved high-quality speech generation for unseen speakers, but most systems remain unsuitable for real-time applications because of their offline design. Current streaming TTS paradigms often rely on multi-stage pipelines and discrete representations, leading to increased computational cost and suboptimal system performance. In this work, we propose StreamMel, a pioneering single-stage streaming TTS framework that models continu…

FCA2: Frame Compression-Aware Autoencoder for Modular and Fast Compressed Video Super-Resolution
Zhaoyang Wang, Jie Li, Wen Lu, Lihuo He, Maoguo Gong, Xinbo Gao
https://arxiv.org/abs/2506.11545

FCA2: Frame Compression-Aware Autoencoder for Modular and Fast Compressed Video Super-Resolution
State-of-the-art (SOTA) compressed video super-resolution (CVSR) models face persistent challenges, including prolonged inference time, complex training pipelines, and reliance on auxiliary information. As video frame rates continue to increase, the diminishing inter-frame differences further expose the limitations of traditional frame-to-frame information exploitation methods, which are inadequate for addressing current video super-resolution (VSR) demands. To overcome these challenges, we pro…

US 11.04.2025
"Justice Department Implements Critical National Security Program to Protect Americans’ Sensitive Data from Foreign Adversaries"
https://www.justice.gov/opa/pr/justice-department-implements-…

Fast Transitions of X-ray Variability in the Neutron Star Low Mass X-ray Binary Cygnus X-2
Liang Zhang, Mariano M\'endez, Hua Feng, Diego Altamirano, Zi-xu Yang, Qing-chang Zhao, Shuang-nan Zhang, Lian Tao, Yue Huang, Xiang Ma, Shu-mei Jia, Ming-yu Ge, Li-ming Song, Jin-lu Qu, Shu Zhang
https://arxiv.org/abs/2506.13503

Fast Transitions of X-ray Variability in the Neutron Star Low Mass X-ray Binary Cygnus X-2
We present a spectral-timing analysis of two NICER observations of the weakly magnetized neutron star low-mass X-ray binary Cygnus X-2. During these observations, we detect a rapid transition from a narrow 50-Hz horizontal-branch oscillation to a broad 5-Hz normal-branch oscillation, accompanied by an increase in source flux and a decrease in spectral hardness. Thanks to the large effective area of NICER, we are able to conduct a detailed comparison of the spectra associated with different type…

Towards Unified Neural Decoding with Brain Functional Network Modeling
Di Wu, Linghao Bu, Yifei Jia, Lu Cao, Siyuan Li, Siyu Chen, Yueqian Zhou, Sheng Fan, Wenjie Ren, Dengchang Wu, Kang Wang, Yue Zhang, Yuehui Ma, Jie Yang, Mohamad Sawan
https://arxiv.org/abs/2506.12055

Towards Unified Neural Decoding with Brain Functional Network Modeling
Recent achievements in implantable brain-computer interfaces (iBCIs) have demonstrated the potential to decode cognitive and motor behaviors with intracranial brain recordings; however, individual physiological and electrode implantation heterogeneities have constrained current approaches to neural decoding within single individuals, rendering interindividual neural decoding elusive. Here, we present Multi-individual Brain Region-Aggregated Network (MIBRAIN), a neural decoding framework that co…

Complexity of normalized stochastic first-order methods with momentum under heavy-tailed noise
Chuan He, Zhaosong Lu, Defeng Sun, Zhanwang Deng
https://arxiv.org/abs/2506.11214

Complexity of normalized stochastic first-order methods with momentum under heavy-tailed noise
In this paper, we propose practical normalized stochastic first-order methods with Polyak momentum, multi-extrapolated momentum, and recursive momentum for solving unconstrained optimization problems. These methods employ dynamically updated algorithmic parameters and do not require explicit knowledge of problem-dependent quantities such as the Lipschitz constant or noise bound. We establish first-order oracle complexity results for finding approximate stochastic stationary points under heavy-t…

Temperature dependent single- and double-quantum relaxation of negatively charged boron vacancies in hexagonal boron nitride
Lin-Ke Xie, Wei Liu, Kaiyu Huang, Nai-Jie Guo, Jun-You Liu, Yu-Hang Ma, Ya-Qi Wu, Yi-Tao Wang, Zhao-an Wang, Xiao-Dong Zeng, Jia-Ming Ren, Chun Ao, Shuo Deng, Haifei Lu, Jian-Shun Tang, Chuan-Feng Li, Guang-Can Guo
https://

Temperature dependent single- and double-quantum relaxation of negatively charged boron vacancies in hexagonal boron nitride
The negatively charged boron vacancy in two-dimensional hexagonal boron nitride has emerged as a promising candidate for quantum sensing. The coherence time of this defect spins which coherent quantum sensing resides in is limited spin-phonon interactions, while the underlying physical mechanism of the corresponding high-temperature behavior is still not fully understood. Here, we probe the single- and double-quantum relaxation rates on this center over the temperature range from 293 to 393 K. …

In Deutschland gerade nicht so hoch im Kurs: https://www.tageblatt.lu/headlines/14-juni-das-jubilaeum-soll-zum-fest-fuer-alle-werden/

Entropy production rate and time-reversibility for general jump diffusions on $\mathbb{R}^n$
Qi Zhang, Yubin Lu
https://arxiv.org/abs/2506.13135 https://…

Entropy production rate and time-reversibility for general jump diffusions on $\mathbb{R}^n$
This paper investigates the entropy production rate and time-reversibility for general jump diffusions (Lévy processes) on $\mathbb{R}^n$. We first formulate the entropy production rate and explore its associated thermodynamic relations for jump diffusions. Subsequently, we derive the entropy production rate using the relative entropy between the forward and time-reversed path measures for stationary jump diffusions via the Girsanov transform. Furthermore, we establish the equivalence among ti…

Hey, it’s Monday again. That means we are hosting Tech Pizza Monday again! Same place (Victory Cafe, 440 Bloor St. W.), same time (6 PM), same…actually, the menu changed recently, so the pizza is different than it has been in the past.
Word on the street is that there will definitely be a hardware demo. Cool, right?
#Toronto

UniDet-D: A Unified Dynamic Spectral Attention Model for Object Detection under Adverse Weathers
Yuantao Wang, Haowei Yang, Wei Zhang, Shijian Lu
https://arxiv.org/abs/2506.12324 …

UniDet-D: A Unified Dynamic Spectral Attention Model for Object Detection under Adverse Weathers
Real-world object detection is a challenging task where the captured images/videos often suffer from complex degradations due to various adverse weather conditions such as rain, fog, snow, low-light, etc. Despite extensive prior efforts, most existing methods are designed for one specific type of adverse weather with constraints of poor generalization, under-utilization of visual features while handling various image degradations. Leveraging a theoretical analysis on how critical visual details…

Je viens de poser Cometa d’Elie Huault, après l’avoir lu pour la seconde fois en moins d’une heure, tellement l’univers représenté dans cet ovni graphique — qualificatif donné Š cet ouvrage par Métal Hurlant et qui lui sied Š merveille — m’a fasciné.
🌊 Lire la suite sur le Sillon https://sillon-fictionnel.club/post…

Sharp Stability of Global Compactness on the Heisenberg Group
Hua Chen, Yun-lu Fan, Xin Liao
https://arxiv.org/abs/2506.11404 https://

Sharp Stability of Global Compactness on the Heisenberg Group
In this paper, we establish a sharp stability inequality on the Heisenberg group for functions that are close to the sum of m weakly interacting Jerison-Lee bubbles. As a consequence, we obtain a sharp quantitative stability of global compactness for non-negative functions on Heisenberg group.

Kind of amazing that you can dot a couple of messages like this around the internet https://post.lurk.org/@yaxu/114188134015638878
and then end up with ~40 lovely people hanging out with their computers in the middle of nowhere, what a great thing

AgentDistill: Training-Free Agent Distillation with Generalizable MCP Boxes
Jiahao Qiu, Xinzhe Juan, Yimin Wang, Ling Yang, Xuan Qi, Tongcheng Zhang, Jiacheng Guo, Yifu Lu, Zixin Yao, Hongru Wang, Shilong Liu, Xun Jiang, Liu Leqi, Mengdi Wang
https://arxiv.org/abs/2506.14728

AgentDistill: Training-Free Agent Distillation with Generalizable MCP Boxes
While knowledge distillation has become a mature field for compressing large language models (LLMs) into smaller ones by aligning their outputs or internal representations, the distillation of LLM-based agents, which involve planning, memory, and tool use, remains relatively underexplored. Existing agent distillation methods typically replay full teacher trajectories or imitate step-by-step teacher tool usage, but they often struggle to train student agents to dynamically plan and act in novel …

Screen Hijack: Visual Poisoning of VLM Agents in Mobile Environments
Xuan Wang, Siyuan Liang, Zhe Liu, Yi Yu, Yuliang Lu, Xiaochun Cao, Ee-Chien Chang
https://arxiv.org/abs/2506.13205

Screen Hijack: Visual Poisoning of VLM Agents in Mobile Environments
With the growing integration of vision-language models (VLMs), mobile agents are now widely used for tasks like UI automation and camera-based user assistance. These agents are often fine-tuned on limited user-generated datasets, leaving them vulnerable to covert threats during the training process. In this work we present GHOST, the first clean-label backdoor attack specifically designed for mobile agents built upon VLMs. Our method manipulates only the visual inputs of a portion of the traini…

Flag-transitive point-primitive quasi-symmetric $2$-designs and exceptional groups of Lie type
Jianbing Lu
https://arxiv.org/abs/2506.10266 https://…

Flag-transitive point-primitive quasi-symmetric $2$-designs and exceptional groups of Lie type
Let $\mathcal{D}$ be a non-trivial quasi-symmetric $2$-design with two block intersection numbers $x=0$ and $2\leq y\leq10$, and suppose that $G$ is an automorphism group of $\mathcal{D}$. If $G$ is flag-transitive and point-primitive, then it is known that $G$ is either of affine type or almost simple type. In this paper, we show that the socle of $G$ cannot be a finite simple exceptional group of Lie type.

#VendrediLecture (du samedi)
"Nouvelles histoires extraordinaires" de Poe (je n'avais lu ado que les pas "nouvelles") : plein de bizarrerie et, très inattendu pour moi, d'Antiquité. Un vrai bonheur.
"Thérèse Desqueyroux" de Mauriac : terriblement sentencieux et moralisateur, plein de "belles" et nobles formules.
"Le Caillou&quo…

Lasso Gripper: A String Shooting-Retracting Mechanism for Shape-Adaptive Grasping
Qiyuan Qiao, Yu Wang, Xiyu Fan, Peng Lu
https://arxiv.org/abs/2506.14163 …

Lasso Gripper: A String Shooting-Retracting Mechanism for Shape-Adaptive Grasping
Handling oversized, variable-shaped, or delicate objects in transportation, grasping tasks is extremely challenging, mainly due to the limitations of the gripper's shape and size. This paper proposes a novel gripper, Lasso Gripper. Inspired by traditional tools like the lasso and the uurga, Lasso Gripper captures objects by launching and retracting a string. Contrary to antipodal grippers, which concentrate force on a limited area, Lasso Gripper applies uniform pressure along the length of the …

Identifying vortex lattice in type-II superconductors via the dynamic magnetostrictive effect
Peipei Lu, Mengju Yuan, Jing Zhang, Qiang Gao, Shuang Liu, Yugang Zhang, Shipeng Shen, Long Zhang, Jun Lu, Xiaoyuan Zhou, Mingquan He, Aifeng Wang, Yang Li, Wenshan Hong, Shiliang Li, Huiqian Luo, Xingjiang Zhou, Xianhui Chen, Young Sun, Yisheng Chai
https:/…

Identifying vortex lattice in type-II superconductors via the dynamic magnetostrictive effect
In type-I superconductors, zero electrical resistivity and perfect diamagnetism define two fundamental criteria for superconducting behavior. In contrast, type-II superconductors exhibit more complex mixed-state physics, where magnetic flux penetrates the material above the lower critical field Hc1 in the form of quantized vortices, each carrying a single flux quantum. These vortices form a two-dimensional lattice which persists up to another irreversible field (Hirr) and then melts into a diss…

CVE-2024-4367 (PDF.js) is gaining traction in some exploitation-focused Telegram channels...
https://vulnerability.circl.lu/cve/CVE-2024-4367
seen via @…

Satellite Event
AIFoundry invites you to the 2nd edition of the AI Plumbers Conference, a meetup for low-level AI builders who value real conversations over keynote slides and for anyone working in modern data infrastructure, machine learning and open-source software projects. Connect, swap ideas and collaborate, free from the pressure of constant talks.
📅 When: June 15, 2025 – 10 am-5 pm
📍 Where: GLS Event Campus Berlin, Kastanienallee 82 | 10435 Berlin
Register now:

Can Luke Schoonmaker contend for Dallas Cowboys starting tight end job? https://www.si.com/nfl/cowboys/news/can-luke-schoonmaker-contend-dallas-cowboys-starting-tight-end-job

Sign-Problem-Free Nuclear Quantum Monte Carlo
Zhong-Wang Niu, Bing-Nan Lu
https://arxiv.org/abs/2506.12874 https://arxiv.org/pdf/2506…

Sign-Problem-Free Nuclear Quantum Monte Carlo
Quantum Monte Carlo (QMC) methods offer exact solutions for quantum many-body systems but face severe limitations in fermionic systems like atomic nuclei due to the sign problem.While sign-problem-free QMC algorithms exist, they have been confined to simple models with limited predictive power for real nuclei.Here we overcome this barrier by developing a novel lattice nuclear force that is rigorously sign-problem-free for even-even nuclei. This interaction achieves a standard deviation of $σ= …

Paraconsistent Relations as a Variant of Kleene Algebras
Juliana Cunha, Alexandre Madeira, Lu\'is S. Barbosa
https://arxiv.org/abs/2506.05840 https://

Paraconsistent Relations as a Variant of Kleene Algebras
Kleene algebras (KA) and Kleene algebras with tests (KAT) provide an algebraic framework to capture the behavior of conventional programming constructs. This paper explores a broader understanding of these structures, in order to enable the expression of programs and tests yielding vague or inconsistent outcomes. Within this context, we introduce the concept of a paraconsistent Kleene Algebra with tests (PKAT), capable of capturing vague and contradictory computations. Finally, to establish the…

Last night’s Tech Pizza Monday was amazing, assumes whoever is posting to this account, who wasn’t there. We’re looking forward the next one on, you guessed it, Monday night at 6 PM Victory Cafe, 440 Bloor St. W. #Toronto #tech

Intersectional Bias in Japanese Large Language Models from a Contextualized Perspective
Hitomi Yanaka, Xinqi He, Jie Lu, Namgi Han, Sunjin Oh, Ryoma Kumon, Yuma Matsuoka, Katsuhiko Watabe, Yuko Itatsu
https://arxiv.org/abs/2506.12327

Intersectional Bias in Japanese Large Language Models from a Contextualized Perspective
An growing number of studies have examined the social bias of rapidly developed large language models (LLMs). Although most of these studies have focused on bias occurring in a single social attribute, research in social science has shown that social bias often occurs in the form of intersectionality -- the constitutive and contextualized perspective on bias aroused by social attributes. In this study, we construct the Japanese benchmark inter-JBBQ, designed to evaluate the intersectional bias …

Into the Unknown: Applying Inductive Spatial-Semantic Location Embeddings for Predicting Individuals' Mobility Beyond Visited Places
Xinglei Wang, Tao Cheng, Stephen Law, Zichao Zeng, Ilya Ilyankou, Junyuan Liu, Lu Yin, Weiming Huang, Natchapon Jongwiriyanurak
https://arxiv.org/abs/2506.14070…

Into the Unknown: Applying Inductive Spatial-Semantic Location Embeddings for Predicting Individuals' Mobility Beyond Visited Places
Predicting individuals' next locations is a core task in human mobility modelling, with wide-ranging implications for urban planning, transportation, public policy and personalised mobility services. Traditional approaches largely depend on location embeddings learned from historical mobility patterns, limiting their ability to encode explicit spatial information, integrate rich urban semantic context, and accommodate previously unseen locations. To address these challenges, we explore the appl…

Deterministic Switching of the N\'{e}el Vector by Asymmetric Spin Torque
Shui-Sen Zhang, Zi-An Wang, Bo Li, Wen-Jian Lu, Mingliang Tian, Yu-Ping Sun, Haifeng Du, Ding-Fu Shao
https://arxiv.org/abs/2506.10786

Deterministic Switching of the Néel Vector by Asymmetric Spin Torque
Néel vector, the order parameter of collinear antiferromagnets, serves as a state variable in associated antiferromagnetic (AFM) spintronic devices to encode information. A deterministic switching of Néel vector is crucial for the write-in operation, which, however, remains a challenging problem in AFM spintronics. Here we demonstrate, based on analytical derivation and macro-spin simulations, that Néel vector switching can be generally achieved via a current-induced spin torque, provided th…

This https://arxiv.org/abs/2412.06551 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Deterministic and randomized LU-Householder CholeskyQR
In this work, we develop LU-Householder CholeskyQR (LHC) for QR factorization of tall-skinny matrices. Similar to LU-CholeskyQR \cite{LUChol}, LHC does not require a sufficient condition of $κ_{2}(X)$ for the input tall-skinny matrix $X \in \mathbb{R}^{m\times n}$. This characteristic ensures the algorithm's reliability in the real-world applications, which is different from other CholeskyQR-type algorithms. To address the issue of numerical breakdown in Cholesky factorization of LU-CholeskyQR…

A tunnelled road underneath Ontario's Highway 401 would be an expensive and very short term solution to congestion. A high speed train subway would be cheaper, move many more people and cost less.
A better Toronto, for all.
A Real Solution to Highway 401 Congestion — the Express Subway.
A subway to Pickering makes much more sense than a 401 Tunnel.

A Real Solution to Highway 401 Congestion — the Express Subway.
A subway to Pickering makes much more sense than a 401 Tunnel.

SENIOR: Efficient Query Selection and Preference-Guided Exploration in Preference-based Reinforcement Learning
Hexian Ni, Tao Lu, Haoyuan Hu, Yinghao Cai, Shuo Wang
https://arxiv.org/abs/2506.14648

SENIOR: Efficient Query Selection and Preference-Guided Exploration in Preference-based Reinforcement Learning
Preference-based Reinforcement Learning (PbRL) methods provide a solution to avoid reward engineering by learning reward models based on human preferences. However, poor feedback- and sample- efficiency still remain the problems that hinder the application of PbRL. In this paper, we present a novel efficient query selection and preference-guided exploration method, called SENIOR, which could select the meaningful and easy-to-comparison behavior segment pairs to improve human feedback-efficiency…

High Probability Convergence of Distributed Clipped Stochastic Gradient Descent with Heavy-tailed Noise
Yuchen Yang, Kaihong Lu, Long Wang
https://arxiv.org/abs/2506.11647

High Probability Convergence of Distributed Clipped Stochastic Gradient Descent with Heavy-tailed Noise
In this paper, the problem of distributed optimization is studied via a network of agents. Each agent only has access to a noisy gradient of its own objective function, and can communicate with its neighbors via a network. To handle this problem, a distributed clipped stochastic gradient descent algorithm is proposed, and the high probability convergence of the algorithm is studied. Existing works on distributed algorithms involving stochastic gradients only consider the light-tailed noises. Di…

Deep Learning and Explainable AI: New Pathways to Genetic Insights
Chenyu Wang, Chaoying Zuo, Zihan Su, Yuhang Xing, Lu Li, Maojun Wang, Zeyu Zhang
https://arxiv.org/abs/2505.09873

Deep Learning and Explainable AI: New Pathways to Genetic Insights
Deep learning-based AI models have been extensively applied in genomics, achieving remarkable success across diverse applications. As these models gain prominence, there exists an urgent need for interpretability methods to establish trustworthiness in model-driven decisions. For genetic researchers, interpretable insights derived from these models hold significant value in providing novel perspectives for understanding biological processes. Current interpretability analyses in genomics predomi…

Study of Stability and Consistency of EAS Thermal Neutron Detection at ENDA-64
Heng-Yu Zhang, Xin-Hua Ma, Tian-Lu Chen, Shu-Wang Cui, Danzengluobu, Wei Gao, Wen-Chao Gao, Xin-Rui Gao, Zi-Ao Gong, Hai-Bing Hu, Denis Kuleshov, Kirill Kurinov, Bing-Bing Li, Fan-Ping Li, Jia-Heng Li, Yang Li, Hu Liu, Mao-Yuan Liu, Ye Liu, Xi-An Pan, Da-Yu Peng, Yao-Hui Qi, Dong Qu, Oleg Shchegolev, Yuri Stenkin, Tian-Shuang Yang, Li-Qiao Yin, Hui-Qian Zhang, Liang-Wei Zhang, Shi-Yuan Zhang

Study of Stability and Consistency of EAS Thermal Neutron Detection at ENDA-64
Introduction:Electron-Neutron Detector Array (ENDA) is designed to measure thermal neutrons produced by hadronic interactions between cosmic ray extensive air showers (EAS) and the surrounding environment as well as electrons around the cores of EAS. ENDA is located within Large High Altitude Air Shower Observatory (LHAASO). ENDA was expanded from an initial 16 detectors to 64 detectors in April 2023, so called ENDA-64, and has been running alongside LHAASO. The stability and consistency of neu…

EUISS, #Publication #ChaillotPaper 186
Unpowering Russia: How the EU can counter and undermine the Kremlin Metadata
22 May 2025
site:

Safe Screening Rules for Group SLOPE
Runxue Bao, Quanchao Lu, Yanfu Zhang
https://arxiv.org/abs/2506.09451 https://arxiv.org/pdf/2506…

Safe Screening Rules for Group SLOPE
Variable selection is a challenging problem in high-dimensional sparse learning, especially when group structures exist. Group SLOPE performs well for the adaptive selection of groups of predictors. However, the block non-separable group effects in Group SLOPE make existing methods either invalid or inefficient. Consequently, Group SLOPE tends to incur significant computational costs and memory usage in practical high-dimensional scenarios. To overcome this issue, we introduce a safe screening …

A Hierarchical Test Platform for Vision Language Model (VLM)-Integrated Real-World Autonomous Driving
Yupeng Zhou, Can Cui, Juntong Peng, Zichong Yang, Juanwu Lu, Jitesh H Panchal, Bin Yao, Ziran Wang
https://arxiv.org/abs/2506.14100

A Hierarchical Test Platform for Vision Language Model (VLM)-Integrated Real-World Autonomous Driving
Vision-Language Models (VLMs) have demonstrated notable promise in autonomous driving by offering the potential for multimodal reasoning through pretraining on extensive image-text pairs. However, adapting these models from broad web-scale data to the safety-critical context of driving presents a significant challenge, commonly referred to as domain shift. Existing simulation-based and dataset-driven evaluation methods, although valuable, often fail to capture the full complexity of real-world …

DTHA: A Digital Twin-Assisted Handover Authentication Scheme for 5G and Beyond
Guanjie Li, Tom H. Luan, Chengzhe Lai, Jinkai Zheng, Rongxing Lu
https://arxiv.org/abs/2506.11669

DTHA: A Digital Twin-Assisted Handover Authentication Scheme for 5G and Beyond
With the rapid development and extensive deployment of the fifth-generation wireless system (5G), it has achieved ubiquitous high-speed connectivity and improved overall communication performance. Additionally, as one of the promising technologies for integration beyond 5G, digital twin in cyberspace can interact with the core network, transmit essential information, and further enhance the wireless communication quality of the corresponding mobile device (MD). However, the utilization of milli…

Bridging Perspectives: A Survey on Cross-view Collaborative Intelligence with Egocentric-Exocentric Vision
Yuping He, Yifei Huang, Guo Chen, Lidong Lu, Baoqi Pei, Jilan Xu, Tong Lu, Yoichi Sato
https://arxiv.org/abs/2506.06253

Bridging Perspectives: A Survey on Cross-view Collaborative Intelligence with Egocentric-Exocentric Vision
Perceiving the world from both egocentric (first-person) and exocentric (third-person) perspectives is fundamental to human cognition, enabling rich and complementary understanding of dynamic environments. In recent years, allowing the machines to leverage the synergistic potential of these dual perspectives has emerged as a compelling research direction in video understanding. In this survey, we provide a comprehensive review of video understanding from both exocentric and egocentric viewpoint…

Toronto’s best pizza-themed tech meetup, not to mention the best tech-themed pizza meetup, happens tomorrow. Same time as usual (6 PM), same place as usual (Victory Cafe, 440 Bloor St. W.), same day of the week as usual (Monday). If you have a free and open hardware demo, we will shower you with attention! RSVP, or don’t, at the Luma link! #Toronto

TD-Pipe: Temporally-Disaggregated Pipeline Parallelism Architecture for High-Throughput LLM Inference
Hongbin Zhang, Taosheng Wei, Zhenyi Zheng, Jiangsu Du, Zhiguang Chen, Yutong Lu
https://arxiv.org/abs/2506.10470

TD-Pipe: Temporally-Disaggregated Pipeline Parallelism Architecture for High-Throughput LLM Inference
As the model size continuously increases, pipeline parallelism shows great promise in throughput-oriented LLM inference due to its low demand on communications. However, imbalanced pipeline workloads and complex data dependencies in the prefill and decode phases result in massive pipeline bubbles and further severe performance reduction. To better exploit the pipeline parallelism for high-throughput LLM inference, we propose TD-Pipe, with the key idea lies in the temporally-disaggregated pipeli…

Foundation Models in Medical Imaging -- A Review and Outlook
Vivien van Veldhuizen, Vanessa Botha, Chunyao Lu, Melis Erdal Cesur, Kevin Groot Lipman, Edwin D. de Jong, Hugo Horlings, Cl\'arisa Sanchez, Cees Snoek, Ritse Mann, Eric Marcus, Jonas Teuwen
https://arxiv.org/abs/2506.09095…

Foundation Models in Medical Imaging -- A Review and Outlook
Foundation models (FMs) are changing the way medical images are analyzed by learning from large collections of unlabeled data. Instead of relying on manually annotated examples, FMs are pre-trained to learn general-purpose visual features that can later be adapted to specific clinical tasks with little additional supervision. In this review, we examine how FMs are being developed and applied in pathology, radiology, and ophthalmology, drawing on evidence from over 150 studies. We explain the co…

Taxonomy of migration scenarios for Qiskit refactoring using LLMs
Jos\'e Manuel Su\'arez, Lu\'is Mariano Bibb\'o, Joaqu\'in Bogado, Alejandro Fernandez
https://arxiv.org/abs/2506.07135

Taxonomy of migration scenarios for Qiskit refactoring using LLMs
As quantum computing advances, quantum programming libraries' heterogeneity and steady evolution create new challenges for software developers. Frequent updates in software libraries break working code that needs to be refactored, thus adding complexity to an already complex landscape. These refactoring challenges are, in many cases, fundamentally different from those known in classical software engineering due to the nature of quantum computing software. This study addresses these challenges b…

EnerBridge-DPO: Energy-Guided Protein Inverse Folding with Markov Bridges and Direct Preference Optimization
Dingyi Rong, Haotian Lu, Wenzhuo Zheng, Fan Zhang, Shuangjia Zheng, Ning Liu
https://arxiv.org/abs/2506.09496

EnerBridge-DPO: Energy-Guided Protein Inverse Folding with Markov Bridges and Direct Preference Optimization
Designing protein sequences with optimal energetic stability is a key challenge in protein inverse folding, as current deep learning methods are primarily trained by maximizing sequence recovery rates, often neglecting the energy of the generated sequences. This work aims to overcome this limitation by developing a model that directly generates low-energy, stable protein sequences. We propose EnerBridge-DPO, a novel inverse folding framework focused on generating low-energy, high-stability prot…

New Bounds on the Anti-Ramsey Number of Independent Triangles
Hongliang Lu, Xinyue Luo, Xinxin Ma
https://arxiv.org/abs/2506.07115 https://

New Bounds on the Anti-Ramsey Number of Independent Triangles
An edge-colored graph is called \textit{rainbow graph} if all the colors on its edges are distinct. Given a positive integer $n$ and a graph $G$, the \textit{anti-Ramsey number} $ar(n,G)$ is defined to be the minimum number of colors $r$ such that there exists a rainbow copy of $G$ in any exactly $r$-edge-coloring of $K_n$. Wu et al. (Anti-Ramsey numbers for vertex-disjoint triangles, \emph{Discrete. Math.}, \textbf{346} (2022), 113123) determined the anti-Ramsey number $ar(n, kK_3)$ for $n\g…

Davon könnten deutsche viel lernen über seriösen Journalismus.
https://www.tageblatt.lu/headlines/warum-das-tageblatt-bisher-nicht-ueber-das-urteil-eines-paedokriminellen-berichtete/

Construction of a Multiple-DOF Under-actuated Gripper with Force-Sensing via Deep Learning
Jihao Li, Keqi Zhu, Guodong Lu, I-Ming Chen, Huixu Dong
https://arxiv.org/abs/2506.11570

Construction of a Multiple-DOF Under-actuated Gripper with Force-Sensing via Deep Learning
We present a novel under-actuated gripper with two 3-joint fingers, which realizes force feedback control by the deep learning technique- Long Short-Term Memory (LSTM) model, without any force sensor. First, a five-linkage mechanism stacked by double four-linkages is designed as a finger to automatically achieve the transformation between parallel and enveloping grasping modes. This enables the creation of a low-cost under-actuated gripper comprising a single actuator and two 3-phalange fingers…

The @…, in celebration of their 40th anniversary, has declared May to be the month in which enjoyers of free and open hardware and software will meet up at LibreLocal events. In that spirit, May 12th’s Tech Pizza Monday will host its own LibreLocal meetup! Same place and time as usual (Victory Cafe, 440 Bloor St. W., 6 PM). Demos are strongly encouraged!

Classical Simulation of an All-Optical Toffoli Gate using Soliton Scattering through Asymmetric Potential Wells
Melih \"Ozkurt, \"Ozg\"ur E. M\"ustecapl{\i}o\u{g}lu
https://arxiv.org/abs/2506.06883

Classical Simulation of an All-Optical Toffoli Gate using Soliton Scattering through Asymmetric Potential Wells
We propose and numerically simulate an all-optical Toffoli (controlled-controlled-NOT) gate based on the scattering of spatial solitons by asymmetric Pöschl-Teller potential wells. In our scheme, the logical state of the target bit is encoded in the relative spatial ordering of two distinguishable soliton components, while the control bits are represented by the presence or absence of external potential wells. We solve the nonlinear Schrödinger equations governing the soliton dynamics and sys…

FicGCN: Unveiling the Homomorphic Encryption Efficiency from Irregular Graph Convolutional Networks
Zhaoxuan Kan, Husheng Han, Shangyi Shi, Tenghui Hua, Hang Lu, Xiaowei Li, Jianan Mu, Xing Hu
https://arxiv.org/abs/2506.10399

FicGCN: Unveiling the Homomorphic Encryption Efficiency from Irregular Graph Convolutional Networks
Graph Convolutional Neural Networks (GCNs) have gained widespread popularity in various fields like personal healthcare and financial systems, due to their remarkable performance. Despite the growing demand for cloud-based GCN services, privacy concerns over sensitive graph data remain significant. Homomorphic Encryption (HE) facilitates Privacy-Preserving Machine Learning (PPML) by allowing computations to be performed on encrypted data. However, HE introduces substantial computational overhea…

System-Aware Unlearning Algorithms: Use Lesser, Forget Faster
Linda Lu, Ayush Sekhari, Karthik Sridharan
https://arxiv.org/abs/2506.06073 https://

System-Aware Unlearning Algorithms: Use Lesser, Forget Faster
Machine unlearning addresses the problem of updating a machine learning model/system trained on a dataset $S$ so that the influence of a set of deletion requests $U \subseteq S$ on the unlearned model is minimized. The gold standard definition of unlearning demands that the updated model, after deletion, be nearly identical to the model obtained by retraining. This definition is designed for a worst-case attacker (one who can recover not only the unlearned model but also the remaining data samp…

FIST: A Structured Threat Modeling Framework for Fraud Incidents
Yu-Chen Dai, Lu-An Chen, Sy-Jye Her, Yu-Xian Jiang
https://arxiv.org/abs/2506.05740 https:…

FIST: A Structured Threat Modeling Framework for Fraud Incidents
Fraudulent activities are rapidly evolving, employing increasingly diverse and sophisticated methods that pose serious threats to individuals, organizations, and society. This paper proposes the FIST Framework (Fraud Incident Structured Threat Framework), an innovative structured threat modeling methodology specifically designed for fraud scenarios. Inspired by MITRE ATT\&CK and DISARM, FIST systematically incorporates social engineering tactics, stage-based behavioral decomposition, and detail…

The next Tech Pizza Monday happens on the first Monday of the month, so you know what that means! That's right: Sticker Club! Bring your stickers and we will exchange them! Follow your heart and trade 1 for 1, or take one and promise to pass it along to a friend. As usual, the pizza is real, and we encourage hardware demos, especially if they're free and open. (The hardware, we mean.) April 7th, 6 PM, Victory Cafe, 440 Bloor St. W. Meet us at the sign!

Towards Biosignals-Free Autonomous Prosthetic Hand Control via Imitation Learning
Kaijie Shi, Wanglong Lu, Hanli Zhao, Vinicius Prado da Fonseca, Ting Zou, Xianta Jiang
https://arxiv.org/abs/2506.08795

Towards Biosignals-Free Autonomous Prosthetic Hand Control via Imitation Learning
Limb loss affects millions globally, impairing physical function and reducing quality of life. Most traditional surface electromyographic (sEMG) and semi-autonomous methods require users to generate myoelectric signals for each control, imposing physically and mentally taxing demands. This study aims to develop a fully autonomous control system that enables a prosthetic hand to automatically grasp and release objects of various shapes using only a camera attached to the wrist. By placing the ha…

The next Tech Pizza Monday is a Sticker Club edition! Bring your stickers to exchange, or just marvel in the stickers people do bring. The usual discussions of free and open software, free and open hardware, and free and open society will of course ensue! #Toronto #tech

The ATProTO meetup on April 14th conflicts with Tech Pizza Monday, so we will try to hijack it. Just kidding! Or are we? Either way, the details are in the Luma link. #ATProtocol #Toronto #ATProTO

BiAssemble: Learning Collaborative Affordance for Bimanual Geometric Assembly
Yan Shen, Ruihai Wu, Yubin Ke, Xinyuan Song, Zeyi Li, Xiaoqi Li, Hongwei Fan, Haoran Lu, Hao dong
https://arxiv.org/abs/2506.06221

BiAssemble: Learning Collaborative Affordance for Bimanual Geometric Assembly
Shape assembly, the process of combining parts into a complete whole, is a crucial robotic skill with broad real-world applications. Among various assembly tasks, geometric assembly--where broken parts are reassembled into their original form (e.g., reconstructing a shattered bowl)--is particularly challenging. This requires the robot to recognize geometric cues for grasping, assembly, and subsequent bimanual collaborative manipulation on varied fragments. In this paper, we exploit the geometri…

Advancement and Field Evaluation of a Dual-arm Apple Harvesting Robot
Keyi Zhu, Kyle Lammers, Kaixiang Zhang, Chaaran Arunachalam, Siddhartha Bhattacharya, Jiajia Li, Renfu Lu, Zhaojian Li
https://arxiv.org/abs/2506.05714

Advancement and Field Evaluation of a Dual-arm Apple Harvesting Robot
Apples are among the most widely consumed fruits worldwide. Currently, apple harvesting fully relies on manual labor, which is costly, drudging, and hazardous to workers. Hence, robotic harvesting has attracted increasing attention in recent years. However, existing systems still fall short in terms of performance, effectiveness, and reliability for complex orchard environments. In this work, we present the development and evaluation of a dual-arm harvesting robot. The system integrates a ToF c…

We don’t know about you, but we’re excited for the next instalment of Tech Pizza Monday: Sticker Club!
Bring your stickers, patches and pins for display and potential trading. If you just want to part with them and be happy in the knowledge that they will get the love they deserve, that’s OK too!
#Toronto

Hey hey! We’re still doing Tech Pizza Mondays. We understand there’s a certain conference in town, one that rhymes with “blanimé sporth”, so if you’re a part of that, join us tomorrow! #Toronto #tech #pizza

Be sure to vote our Election Night Edition this upcoming Monday, as the polls close at 9:30 PM. Then, come for the pizza and stay for the tech discussions. We don’t know if the venue (Victory Cafe, 440 Bloor St. W.) will turn on the TVs for election results. We usually adjourn before that time, anyway. The festivities start at 6 PM!
Got a hardware demo? Cool! Those are the best! The more you believe in free and open software and hardware in service of a free and open society, the more …