{"date":"2026-02-24","schema_version":1,"captured_at":"2026-08-25T23:29:36.943Z","complete":true,"sources_captured":["attention","frontier","research","history"],"counts":{"attention":30,"frontier":25,"research":25,"history":15},"attention":[{"title":"El Mencho","views":1171468,"rank":2,"extract":"Nemesio Rubén Oseguera Cervantes, commonly referred to by his alias \"El Mencho\", was a Mexican drug lord and head of the Jalisco New Generation Cartel (CJNG), an organized crime group based in Jalisco. He was the most wanted person in Mexico and one of the mos","url":"https://en.wikipedia.org/wiki/El_Mencho","thumb":"https://upload.wikimedia.org/wikipedia/commons/thumb/f/fb/El_Mencho_San_Francisco.jpeg/330px-El_Mencho_San_Francisco.jpeg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"},{"title":"Johnny Gaudreau","views":696006,"rank":4,"extract":"John Michael Gaudreau was an American professional ice hockey player. 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Such knowledge is often incorporated through the availability of related data arising from domains and tasks similar to the one of current interest. Ideally one would like to allow both the data for the current task and for previous related tasks to self-organize the learning system in such a wa","authors":["Epstein, Baruch","Meir, Ron","Michaeli, Tomer"],"url":"https://arxiv.org/abs/1705.10494","arxiv_id":"1705.10494","published":"2026-02-24"},{"title":"An Elo-based rating system for TopCoder SRM","abstract":"This paper presents an Elo-based rating system for programming contests, specifically Topcoder's Single Round Matches (SRMs). We introduce a logarithmic rank-based performance metric that allows single-round, multi-player contest results to be incorporated into an Elo-style continuous rating framework. Model parameters and adjustment factors are calibrated empirically by minimizing absolute prediction error over ","authors":["Batty, Fred"],"url":"https://arxiv.org/abs/1905.00961","arxiv_id":"1905.00961","published":"2026-02-24"},{"title":"Deep Learning: Our Miraculous Year 1990-1991","abstract":"The Deep Learning Artificial Neural Networks (NNs) of our team have revolutionised Machine Learning & AI. Many of the basic ideas behind this revolution were published within the 12 months of our "Annus Mirabilis" 1990-1991 at our lab in TU Munich. Back then, few people were interested. But a quarter century later, NNs based on our "Miraculous Year" were on over 3 billion devices, and used many bi","authors":["Schmidhuber, Juergen"],"url":"https://arxiv.org/abs/2005.05744","arxiv_id":"2005.05744","published":"2026-02-24"},{"title":"Schemes of Propagation Models and Source Estimators for Rumor Source Detection in Online Social Networks: A Short Survey of a Decade of Research","abstract":"Recent years have seen various rumor diffusion models being assumed in detection of rumor source research of the online social network. Diffusion model is arguably considered as a very important and challengeable factor for source detection in networks but it is less studied. This paper provides an overview of three representative schemes of Independent Cascade-based, Epidemic-based, and Learning-based to model the p","authors":["Jin, Rong","Wu, Weili"],"url":"https://arxiv.org/abs/2101.00753","arxiv_id":"2101.00753","published":"2026-02-24"},{"title":"Effective Universal Unrestricted Adversarial Attacks using a MOE Approach","abstract":"Recent studies have shown that Deep Leaning models are susceptible to adversarial examples, which are data, in general images, intentionally modified to fool a machine learning classifier. In this paper, we present a multi-objective nested evolutionary algorithm to generate universal unrestricted adversarial examples in a black-box scenario. The unrestricted attacks are performed through the application of well-known","authors":["Baia, A. E.","Di Bari, G.","Poggioni, V."],"url":"https://arxiv.org/abs/2103.00250","arxiv_id":"2103.00250","published":"2026-02-24"},{"title":"Information-Theoretic Limits of Quantum Learning via Data Compression","abstract":"Understanding the power of quantum data in machine learning is central to many proposed applications of quantum technologies. While access to quantum data can offer exponential advantages for carefully designed learning tasks and often under strong assumptions on the data distribution, it remains an open question whether such advantages persist in less structured settings and under more realistic, naturally occurring","authors":["Angrisani, Armando","Coyle, Brian","Kashefi, Elham"],"url":"https://arxiv.org/abs/2112.06841","arxiv_id":"2112.06841","published":"2026-02-24"},{"title":"Resource-Aware Distributed Submodular Maximization: A Paradigm for Multi-Robot Decision-Making","abstract":"Multi-robot decision-making is the process where multiple robots coordinate actions. In this paper, we aim for efficient and effective multi-robot decision-making despite the robots' limited on-board resources and the often resource-demanding complexity of their tasks. We introduce the first algorithm enabling the robots to choose with which few other robots to coordinate and provably balance the trade-off of cen","authors":["Xu, Zirui","Tzoumas, Vasileios"],"url":"https://arxiv.org/abs/2204.07520","arxiv_id":"2204.07520","published":"2026-02-24"},{"title":"Towards Unifying Perceptual Reasoning and Logical Reasoning","abstract":"An increasing number of scientific experiments support the view of perception as Bayesian inference, which is rooted in Helmholtz's view of perception as unconscious inference. Recent study of logic presents a view of logical reasoning as Bayesian inference. In this paper, we give a simple probabilistic model that is applicable to both perceptual reasoning and logical reasoning. We show that the model unifies the","authors":["Kido, Hiroyuki"],"url":"https://arxiv.org/abs/2206.13174","arxiv_id":"2206.13174","published":"2026-02-24"},{"title":"Face Pyramid Vision Transformer","abstract":"A novel Face Pyramid Vision Transformer (FPVT) is proposed to learn a discriminative multi-scale facial representations for face recognition and verification. In FPVT, Face Spatial Reduction Attention (FSRA) and Dimensionality Reduction (FDR) layers are employed to make the feature maps compact, thus reducing the computations. An Improved Patch Embedding (IPE) algorithm is proposed to exploit the benefits of CNNs in ","authors":["Islam, Khawar","Zaheer, Muhammad Zaigham","Mahmood, Arif"],"url":"https://arxiv.org/abs/2210.11974","arxiv_id":"2210.11974","published":"2026-02-24"},{"title":"Learning to See the Elephant in the Room: Self-Supervised Context Reasoning in Humans and AI","abstract":"Humans rarely perceive objects in isolation but interpret scenes through relationships among co-occurring elements. How such contextual knowledge is acquired without explicit supervision remains unclear. Here we combine human psychophysics experiments with computational modelling to study the emergence of contextual reasoning. Participants were exposed to novel objects embedded in naturalistic scenes that followed pr","authors":["Liu, Xiao","Sarker, Soumick","Sikarwar, Ankur","Kiely, Bryan Atista","Kreiman, Gabriel","Shi, Zenglin"],"url":"https://arxiv.org/abs/2211.12817","arxiv_id":"2211.12817","published":"2026-02-24"},{"title":"Exploring Singularities in point clouds with the graph Laplacian: An explicit approach","abstract":"We develop theory and methods that use the graph Laplacian to analyze the geometry of the underlying manifold of datasets. Our theory provides theoretical guarantees and explicit bounds on the functional forms of the graph Laplacian when it acts on functions defined close to singularities of the underlying manifold. We use these explicit bounds to develop tests for singularities and propose methods that can be used t","authors":["Andersson, Martin","Avelin, Benny"],"url":"https://arxiv.org/abs/2301.00201","arxiv_id":"2301.00201","published":"2026-02-24"},{"title":"A Simple Generative Model of Logical Reasoning and Statistical Learning","abstract":"Statistical learning and logical reasoning are two major fields of AI expected to be unified for human-like machine intelligence. Most existing work considers how to combine existing logical and statistical systems. However, there is no theory of inference so far explaining how basic approaches to statistical learning and logical reasoning stem from a common principle. Inspired by the fact that much empirical work in","authors":["Kido, Hiroyuki"],"url":"https://arxiv.org/abs/2305.11098","arxiv_id":"2305.11098","published":"2026-02-24"},{"title":"Robust low-rank training via approximate orthonormal constraints","abstract":"With the growth of model and data sizes, a broad effort has been made to design pruning techniques that reduce the resource demand of deep learning pipelines, while retaining model performance. In order to reduce both inference and training costs, a prominent line of work uses low-rank matrix factorizations to represent the network weights. Although able to retain accuracy, we observe that low-rank methods tend to co","authors":["Savostianova, Dayana","Zangrando, Emanuele","Ceruti, Gianluca","Tudisco, Francesco"],"url":"https://arxiv.org/abs/2306.01485","arxiv_id":"2306.01485","published":"2026-02-24"},{"title":"RDFC-GAN: RGB-Depth Fusion CycleGAN for Indoor Depth Completion","abstract":"Raw depth images captured in indoor scenarios frequently exhibit extensive missing values due to the inherent limitations of the sensors and environments. For example, transparent materials frequently elude detection by depth sensors; surfaces may introduce measurement inaccuracies due to their polished textures, extended distances, and oblique incidence angles from the sensor. The presence of incomplete depth maps i","authors":["Wang, Haowen","Che, Zhengping","Yang, Yufan","Wang, Mingyuan","Xu, Zhiyuan","Qiao, Xiuquan"],"url":"https://arxiv.org/abs/2306.03584","arxiv_id":"2306.03584","published":"2026-02-24"},{"title":"A simple connection from loss flatness to compressed neural representations","abstract":"Despite extensive study, the significance of sharpness -- the trace of the loss Hessian at local minima -- remains unclear. We investigate an alternative perspective: how sharpness relates to the geometric structure of neural representations, specifically representation compression, defined as how strongly neural activations concentrate under local input perturbations. We introduce three measures -- Local Volumetric ","authors":["Chen, Shirui","Recanatesi, Stefano","Shea-Brown, Eric"],"url":"https://arxiv.org/abs/2310.01770","arxiv_id":"2310.01770","published":"2026-02-24"},{"title":"IoTGeM: Generalizable Models for Behaviour-Based IoT Attack Detection","abstract":"Previous research on behavior-based attack detection for networks of IoT devices has resulted in machine learning models whose ability to adapt to unseen data is limited and often not demonstrated. This paper presents IoTGeM, an approach for modeling IoT network attacks that focuses on generalizability, yet also leads to better detection and performance. We first introduce an improved rolling window approach for feat","authors":["Kostas, Kahraman","Just, Mike","Lones, Michael A."],"url":"https://arxiv.org/abs/2401.01343","arxiv_id":"2401.01343","published":"2026-02-24"},{"title":"Learning from Imperfect Demonstrations with Self-Supervision for Robotic Manipulation","abstract":"Improving data utilization, especially for imperfect data from task failures, is crucial for robotic manipulation due to the challenging, time-consuming, and expensive data collection process in the real world. Current imitation learning (IL) typically discards imperfect data, focusing solely on successful expert data. While reinforcement learning (RL) can learn from explorations and failures, the sim2real gap and it","authors":["Wu, Kun","Liu, Ning","Zhao, Zhen","Qiu, Di","Li, Jinming","Che, Zhengping"],"url":"https://arxiv.org/abs/2401.08957","arxiv_id":"2401.08957","published":"2026-02-24"},{"title":"Inference of Abstraction for a Unified Account of Symbolic Reasoning from Data","abstract":"Inspired by empirical work in neuroscience for Bayesian approaches to brain function, we give a unified probabilistic account of various types of symbolic reasoning from data. We characterise them in terms of formal logic using the classical consequence relation, an empirical consequence relation, maximal consistent sets, maximal possible sets and maximum likelihood estimation. The theory gives new insights into reas","authors":["Kido, Hiroyuki"],"url":"https://arxiv.org/abs/2402.08646","arxiv_id":"2402.08646","published":"2026-02-24"},{"title":"Stochastic Localization via Iterative Posterior Sampling","abstract":"Building upon score-based learning, new interest in stochastic localization techniques has recently emerged. In these models, one seeks to noise a sample from the data distribution through a stochastic process, called observation process, and progressively learns a denoiser associated to this dynamics. Apart from specific applications, the use of stochastic localization for the problem of sampling from an unnormalize","authors":["Grenioux, Louis","Noble, Maxence","Gabrié, Marylou","Durmus, Alain Oliviero"],"url":"https://arxiv.org/abs/2402.10758","arxiv_id":"2402.10758","published":"2026-02-24"},{"title":"Calibrating Large Language Models with Sample Consistency","abstract":"Accurately gauging the confidence level of Large Language Models' (LLMs) predictions is pivotal for their reliable application. However, LLMs are often uncalibrated inherently and elude conventional calibration techniques due to their proprietary nature and massive scale. In this work, we explore the potential of deriving confidence from the distribution of multiple randomly sampled model generations, via three m","authors":["Lyu, Qing","Shridhar, Kumar","Malaviya, Chaitanya","Zhang, Li","Elazar, Yanai","Tandon, Niket"],"url":"https://arxiv.org/abs/2402.13904","arxiv_id":"2402.13904","published":"2026-02-24"},{"title":"PoTeC: A German Naturalistic Eye-tracking-while-reading Corpus","abstract":"The Potsdam Textbook Corpus (PoTeC) is a naturalistic eye-tracking-while-reading corpus containing data from 75 participants reading 12 scientific texts. PoTeC is the first naturalistic eye-tracking-while-reading corpus that contains eye-movements from domain-experts as well as novices in a within-participant manipulation: It is based on a 2x2x2 fully-crossed factorial design which includes the participants' leve","authors":["Jakobi, Deborah N.","Kern, Thomas","Reich, David R.","Haller, Patrick","Jäger, Lena A."],"url":"https://arxiv.org/abs/2403.00506","arxiv_id":"2403.00506","published":"2026-02-24"},{"title":"Mixed-Reality Digital Twins: Leveraging the Physical and Virtual Worlds for Hybrid Sim2Real Transition of Multi-Agent Reinforcement Learning Policies","abstract":"Multi-agent reinforcement learning (MARL) for cyber-physical vehicle systems usually requires a significantly long training time due to their inherent complexity. Furthermore, deploying the trained policies in the real world demands a feature-rich environment along with multiple physical embodied agents, which may not be feasible due to monetary, physical, energy, or safety constraints. This work seeks to address the","authors":["Samak, Chinmay Vilas","Samak, Tanmay Vilas","Krovi, Venkat Narayan"],"url":"https://arxiv.org/abs/2403.10996","arxiv_id":"2403.10996","published":"2026-02-24"},{"title":"Quantformer: from attention to profit with a quantitative transformer trading strategy","abstract":"In traditional quantitative trading practice, navigating the complicated and dynamic financial market presents a persistent challenge. Fully capturing various market variables, including long-term information, as well as essential signals that may lead to profit remains a difficult task for learning algorithms. In order to tackle this challenge, this paper introduces quantformer, an enhanced neural network architectu","authors":["Zhang, Zhaofeng","Chen, Banghao","Zhu, Shengxin","Langrené, Nicolas"],"url":"https://arxiv.org/abs/2404.00424","arxiv_id":"2404.00424","published":"2026-02-24"},{"title":"Synergising Human-like Responses and Machine Intelligence for Planning in Disaster Response","abstract":"In the rapidly changing environments of disaster response, planning and decision-making for autonomous agents involve complex and interdependent choices. Although recent advancements have improved traditional artificial intelligence (AI) approaches, they often struggle in such settings, particularly when applied to agents operating outside their well-defined training parameters. To address these challenges, we propos","authors":["Papaioannou, Savvas","Kolios, Panayiotis","Panayiotou, Christos G.","Polycarpou, Marios M."],"url":"https://arxiv.org/abs/2404.09877","arxiv_id":"2404.09877","published":"2026-02-24"},{"title":"ViTextVQA: A Large-Scale Visual Question Answering Dataset and a Novel Multimodal Feature Fusion Method for Vietnamese Text Comprehension in Images","abstract":"Visual Question Answering (VQA) is a challenging task that requires the joint understanding of natural language and visual content. While early research primarily focused on recognizing objects and scene context, it often overlooked scene text-an essential source of explicit semantic information. This paper introduces \\textbf{ViTextVQA} (\\textbf{Vi}etnamese \\textbf{Text}-based \\textbf{V}isual \\textbf{Q}uestion \\textb","authors":["Van Nguyen, Quan","Tran, Dan Quang","Pham, Huy Quang","Nguyen, Thang Kien-Bao","Nguyen, Nghia Hieu","Van Nguyen, Kiet"],"url":"https://arxiv.org/abs/2404.10652","arxiv_id":"2404.10652","published":"2026-02-24"}],"history":{"events":[{"year":2015,"text":"At a restaurant in Uherský Brod, Czech Republic, a gunman opened fire in a restaurant, killing eight people before committing suicide.","url":"https://en.wikipedia.org/wiki/Uhersk%C3%BD_Brod"},{"year":1989,"text":"United Airlines Flight 811 experienced uncontrolled decompression after leaving Honolulu International Airport, Hawaii, blowing seats out of the aircraft and killing nine passengers.","url":"https://en.wikipedia.org/wiki/United_Airlines_Flight_811"},{"year":1979,"text":"Uganda–Tanzania War: Ugandan government forces fled Masaka as the Tanzania People's Defence Force bombarded and captured the town.","url":"https://en.wikipedia.org/wiki/Uganda%E2%80%93Tanzania_War"},{"year":1978,"text":"Five men disappeared after attending a college basketball game in Chico, California; the bodies of four of them were discovered months later.","url":"https://en.wikipedia.org/wiki/Yuba_County_Five"},{"year":1968,"text":"Vietnam War: Led by Ngô Quang Trưởng, South Vietnamese forces recaptured the citadel of Huế.","url":"https://en.wikipedia.org/wiki/Vietnam_War"},{"year":1943,"text":"World War II: The Battle of Kasserine Pass, the first major engagement between American and Axis forces in Africa, ended with the Allied forces suffering heavy losses.","url":"https://en.wikipedia.org/wiki/World_War_II"},{"year":1868,"text":"Andrew Johnson became the first U.S. president to be impeached.","url":"https://en.wikipedia.org/wiki/Andrew_Johnson"},{"year":1826,"text":"The Treaty of Yandabo was signed, ending the First Anglo-Burmese War, the longest and most expensive war in the history of British India.","url":"https://en.wikipedia.org/wiki/Treaty_of_Yandabo"},{"year":1809,"text":"After standing for only 15 years, the Theatre Royal, Drury Lane (pictured), the third building in London of that name, burned down.","url":"https://en.wikipedia.org/wiki/Theatre_Royal%2C_Drury_Lane"},{"year":1809,"text":"Napoleonic Wars: The British invasion of Martinique ended with the unconditional surrender of French admiral Louis Thomas Villaret de Joyeuse (pictured), beginning a five-year occupation of the island.","url":"https://en.wikipedia.org/wiki/Napoleonic_Wars"},{"year":1803,"text":"In Marbury v. Madison, the Supreme Court declared an act of Congress unconstitutional for the first time, forming the basis of judicial review in the United States.","url":"https://en.wikipedia.org/wiki/Marbury_v._Madison"},{"year":1720,"text":"War of the Quadruple Alliance: Spanish forces began a failed assault on the British settlement of Nassau in the Bahamas.","url":"https://en.wikipedia.org/wiki/War_of_the_Quadruple_Alliance"},{"year":1711,"text":"George Frideric Handel's Rinaldo, the first Italian-language opera written specifically for the London stage, premiered.","url":"https://en.wikipedia.org/wiki/George_Frideric_Handel"},{"year":1607,"text":"Italian composer Claudio Monteverdi's L'Orfeo, considered the first fully developed opera, premiered in Mantua.","url":"https://en.wikipedia.org/wiki/Claudio_Monteverdi"},{"year":303,"text":"The Diocletianic Persecution, the last and most severe episode of the persecution of Christians in the Roman Empire, began with the publication of a first edict by Roman emperor Diocletian.","url":"https://en.wikipedia.org/wiki/Diocletianic_Persecution"}],"births":[{"year":2004,"text":"Samuele Vignato, Italian football player","url":"https://en.wikipedia.org/wiki/Samuele_Vignato"},{"year":2004,"text":"Rafael Obrador, Spanish footballer","url":"https://en.wikipedia.org/wiki/Rafael_Obrador"},{"year":2003,"text":"Honey Osrin, British swimmer","url":"https://en.wikipedia.org/wiki/Honey_Osrin"},{"year":2000,"text":"Antony Matheus dos Santos, Brazilian footballer","url":"https://en.wikipedia.org/wiki/Antony_(footballer%2C_born_2000)"},{"year":2000,"text":"Nichika Yamada, Japanese volleyball player","url":"https://en.wikipedia.org/wiki/Nichika_Yamada"},{"year":1997,"text":"Đurđina Jauković, Montenegrin handball player","url":"https://en.wikipedia.org/wiki/%C4%90ur%C4%91ina_Jaukovi%C4%87"},{"year":1996,"text":"Royce Freeman, American football player","url":"https://en.wikipedia.org/wiki/Royce_Freeman"},{"year":1995,"text":"Tyler Bertuzzi, Canadian ice hockey player","url":"https://en.wikipedia.org/wiki/Tyler_Bertuzzi"}],"deaths":[{"year":2025,"text":"Roberta Flack, American singer and pianist (born 1937)","url":"https://en.wikipedia.org/wiki/Roberta_Flack"},{"year":2024,"text":"Kumar Shahani, Indian film director and screenwriter (born 1940)","url":"https://en.wikipedia.org/wiki/Kumar_Shahani"},{"year":2023,"text":"Edith Roger, Norwegian dancer and choreographer (born 1922)","url":"https://en.wikipedia.org/wiki/Edith_Roger"},{"year":2021,"text":"Ronald Pickup, English actor (born 1940)","url":"https://en.wikipedia.org/wiki/Ronald_Pickup"},{"year":2020,"text":"Katherine Johnson, American physicist and mathematician (born 1918)","url":"https://en.wikipedia.org/wiki/Katherine_Johnson"},{"year":2018,"text":"Sridevi, Indian actress (born 1963)","url":"https://en.wikipedia.org/wiki/Sridevi"},{"year":2018,"text":"Haukur Hilmarsson, Icelandic political activist and internationalist volunteer fighter (born 1986)","url":"https://en.wikipedia.org/wiki/Haukur_Hilmarsson"},{"year":2016,"text":"Peter Kenilorea, Solomon Islands politician, 1st Prime Minister of the Solomon Islands (born 1943)","url":"https://en.wikipedia.org/wiki/Peter_Kenilorea"}]},"census":null,"sources":[{"id":"attention","name":"Wikipedia most-read","url":"https://api.wikimedia.org","licence":"CC BY-SA 4.0","attribution":"Wikipedia contributors"},{"id":"frontier","name":"Hacker News","url":"https://news.ycombinator.com","licence":"Public API — titles and links, credited","attribution":"Hacker News / Y Combinator"},{"id":"research","name":"arXiv cs.AI","url":"https://arxiv.org","licence":"Open metadata, per arXiv API terms","attribution":"arXiv.org"},{"id":"history","name":"Wikipedia On this day","url":"https://api.wikimedia.org","licence":"CC BY-SA 4.0","attribution":"Wikipedia contributors"}],"licence":"Records are CC BY-SA 4.0, inheriting from Wikipedia. Every item links to its source."}