{"date":"2026-02-11","schema_version":1,"captured_at":"2026-08-25T23:27:57.867Z","complete":true,"sources_captured":["attention","frontier","research","history"],"counts":{"attention":30,"frontier":25,"research":25,"history":13},"attention":[{"title":"Bad Bunny","views":596583,"rank":3,"extract":"Benito Antonio Martínez Ocasio, known professionally as Bad Bunny, is a Puerto Rican rapper, singer and record producer. Dubbed the \"King of Latin Trap\", he is widely credited with helping Spanish-language rap reach mainstream global popularity and is consider","url":"https://en.wikipedia.org/wiki/Bad_Bunny","thumb":"https://upload.wikimedia.org/wikipedia/commons/thumb/b/b1/Bad_Bunny_2019_by_Glenn_Francis_%28cropped%29.jpg/330px-Bad_Bunny_2019_by_Glenn_Francis_%28cropped%29.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"},{"title":"Jeffrey Epstein","views":580456,"rank":4,"extract":"Jeffrey Edward Epstein was an American financier and child sex offender. 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By Bayes rule, the external information (prior distribution) and the internal information (training data likelihood) are combined coherently, and the posterior distribution and the poster","authors":["Guo, Erdong","Draper, David"],"url":"https://arxiv.org/abs/2101.00245","arxiv_id":"2101.00245","published":"2026-02-11"},{"title":"Artificial Intelligence Software Structured to Simulate Human Working Memory, Mental Imagery, and Mental Continuity","abstract":"This article presents an artificial intelligence (AI) architecture intended to simulate the iterative updating of the human working memory system. It features several interconnected neural networks designed to emulate the specialized modules of the cerebral cortex. These are structured hierarchically and integrated into a global workspace. They are capable of temporarily maintaining high-level representational patter","authors":["Reser, Jared Edward"],"url":"https://arxiv.org/abs/2204.05138","arxiv_id":"2204.05138","published":"2026-02-11"},{"title":"Universal Neural Optimal Transport","abstract":"Optimal Transport (OT) problems are a cornerstone of many applications, but solving them is computationally expensive. To address this problem, we propose UNOT (Universal Neural Optimal Transport), a novel framework capable of accurately predicting (entropic) OT distances and plans between discrete measures for a given cost function. UNOT builds on Fourier Neural Operators, a universal class of neural networks that m","authors":["Geuter, Jonathan","Kornhardt, Gregor","Tomasson, Ingimar","Laschos, Vaios"],"url":"https://arxiv.org/abs/2212.00133","arxiv_id":"2212.00133","published":"2026-02-11"},{"title":"Pre-training Tensor-Train Networks Facilitates Machine Learning with Variational Quantum Circuits","abstract":"Data encoding remains a fundamental bottleneck in quantum machine learning, where amplitude encoding of high-dimensional classical vectors into quantum states incurs exponential cost. In this work, we propose a pre-trained tensor-train (TT) encoding network (Pre-TT-Encoder) that significantly reduces the computational complexity of amplitude encoding while preserving essential data structure. The Pre-TT-Encoder explo","authors":["Qi, Jun","Yang, Chao-Han Huck","Chen, Pin-Yu","Hsieh, Min-Hsiu"],"url":"https://arxiv.org/abs/2306.03741","arxiv_id":"2306.03741","published":"2026-02-11"},{"title":"Time Series Continuous Modeling for Imputation and Forecasting with Implicit Neural Representations","abstract":"We introduce a novel modeling approach for time series imputation and forecasting, tailored to address the challenges often encountered in real-world data, such as irregular samples, missing data, or unaligned measurements from multiple sensors. Our method relies on a continuous-time-dependent model of the series' evolution dynamics. It leverages adaptations of conditional, implicit neural representations for seq","authors":["Naour, Etienne Le","Serrano, Louis","Migus, Léon","Yin, Yuan","Agoua, Ghislain","Baskiotis, Nicolas"],"url":"https://arxiv.org/abs/2306.05880","arxiv_id":"2306.05880","published":"2026-02-11"},{"title":"Efficient HDR Reconstruction from Real-World Raw Images","abstract":"The growing prevalence of high-resolution displays on edge devices has created a pressing need for efficient high dynamic range (HDR) imaging algorithms. However, most existing HDR methods either struggle to deliver satisfactory visual quality or incur high computational and memory costs, limiting their applicability to high-resolution inputs (typically exceeding 12 megapixels). Furthermore, current HDR dataset colle","authors":["Yang, Qirui","Liu, Yihao","Cheng, Qihua","Yue, Huanjing","Li, Kun","Yang, Jingyu"],"url":"https://arxiv.org/abs/2306.10311","arxiv_id":"2306.10311","published":"2026-02-11"},{"title":"On-Policy Policy Gradient Reinforcement Learning Without On-Policy Sampling","abstract":"On-policy reinforcement learning (RL) algorithms are typically characterized as algorithms that perform policy updates using i.i.d. trajectories collected by the agent's current policy. However, after observing only a finite number of trajectories, such on-policy sampling may produce data that fails to match the expected on-policy data distribution. This sampling error leads to high-variance gradient estimates th","authors":["Corrado, Nicholas E.","Hanna, Josiah P."],"url":"https://arxiv.org/abs/2311.08290","arxiv_id":"2311.08290","published":"2026-02-11"},{"title":"MToP: A MATLAB Benchmarking Platform for Evolutionary Multitasking","abstract":"Evolutionary multitasking (EMT) has emerged as a popular topic of evolutionary computation over the past decade. It aims to concurrently address multiple optimization tasks within limited computing resources, leveraging inter-task knowledge transfer techniques. Despite the abundance of multitask evolutionary algorithms (MTEAs) proposed for multitask optimization (MTO), there remains a need for a comprehensive softwar","authors":["Li, Yanchi","Gong, Wenyin","Zhang, Tingyu","Ming, Fei","Li, Shuijia","Gu, Qiong"],"url":"https://arxiv.org/abs/2312.08134","arxiv_id":"2312.08134","published":"2026-02-11"},{"title":"ZS-SRT: An Efficient Zero-Shot Super-Resolution Training Method for Neural Radiance Fields","abstract":"Neural Radiance Fields (NeRF) have achieved great success in the task of synthesizing novel views that preserve the same resolution as the training views. However, it is challenging for NeRF to synthesize high-quality high-resolution novel views with low-resolution training data. To solve this problem, we propose a zero-shot super-resolution training framework for NeRF. This framework aims to guide the NeRF model to ","authors":["Feng, Xiang","He, Yongbo","Wang, Yubo","Wang, Chengkai","Kuang, Zhenzhong","Ding, Jiajun"],"url":"https://arxiv.org/abs/2312.12122","arxiv_id":"2312.12122","published":"2026-02-11"},{"title":"Predicting large scale cosmological structure evolution with generative adversarial network-based autoencoders","abstract":"Predicting the nonlinear evolution of cosmic structure from initial conditions is typically approached using Lagrangian, particle-based methods. These techniques excel in terms of tracking individual trajectories, but they might not be suitable for applications where point-based information is unavailable or impractical. In this work, we explore an alternative, field-based approach using Eulerian inputs. Specifically","authors":["Ullmo, Marion","Aghanim, Nabila","Decelle, Aurélien","Aragon-Calvo, Miguel"],"url":"https://arxiv.org/abs/2403.02171","arxiv_id":"2403.02171","published":"2026-02-11"},{"title":"Dynamics of Moral Behavior in Heterogeneous Populations of Learning Agents","abstract":"Growing concerns about safety and alignment of AI systems highlight the importance of embedding moral capabilities in artificial agents: a promising solution is the use of learning from experience, i.e., Reinforcement Learning. In multi-agent (social) environments, complex population-level phenomena may emerge from interactions between individual learning agents. Many of the existing studies rely on simulated social ","authors":["Tennant, Elizaveta","Hailes, Stephen","Musolesi, Mirco"],"url":"https://arxiv.org/abs/2403.04202","arxiv_id":"2403.04202","published":"2026-02-11"},{"title":"Deep Learning-Based Object Pose Estimation: A Comprehensive Survey","abstract":"Object pose estimation is a fundamental computer vision problem with broad applications in augmented reality and robotics. Over the past decade, deep learning models, due to their superior accuracy and robustness, have increasingly supplanted conventional algorithms reliant on engineered point pair features. Nevertheless, several challenges persist in contemporary methods, including their dependency on labeled traini","authors":["Liu, Jian","Sun, Wei","Yang, Hui","Zeng, Zhiwen","Liu, Chongpei","Zheng, Jin"],"url":"https://arxiv.org/abs/2405.07801","arxiv_id":"2405.07801","published":"2026-02-11"},{"title":"Analysis of the Geometric Structure of Neural Networks and Neural ODEs via Morse Functions","abstract":"Besides classical feed-forward neural networks such as multilayer perceptrons, also neural ordinary differential equations (neural ODEs) have gained particular interest in recent years. Neural ODEs can be interpreted as an infinite depth limit of feed-forward or residual neural networks. We study the input-output dynamics of finite and infinite depth neural networks with scalar output. In the finite depth case, the i","authors":["Kuehn, Christian","Kuntz, Sara-Viola"],"url":"https://arxiv.org/abs/2405.09351","arxiv_id":"2405.09351","published":"2026-02-11"},{"title":"EffoVPR: Effective Foundation Model Utilization for Visual Place Recognition","abstract":"The task of Visual Place Recognition (VPR) is to predict the location of a query image from a database of geo-tagged images. Recent studies in VPR have highlighted the significant advantage of employing pre-trained foundation models like DINOv2 for the VPR task. However, these models are often deemed inadequate for VPR without further fine-tuning on VPR-specific data. In this paper, we present an effective approach t","authors":["Tzachor, Issar","Lerner, Boaz","Levy, Matan","Green, Michael","Shalev, Tal Berkovitz","Habib, Gavriel"],"url":"https://arxiv.org/abs/2405.18065","arxiv_id":"2405.18065","published":"2026-02-11"},{"title":"A Point-Neighborhood Learning Framework for Nasal Endoscope Image Segmentation","abstract":"Lesion segmentation on nasal endoscopic images is challenging due to its complex lesion features. Fully-supervised deep learning methods achieve promising performance with pixel-level annotations but impose a significant annotation burden on experts. Although weakly supervised or semi-supervised methods can reduce the labelling burden, their performance is still limited. Some weakly semi-supervised methods employ a n","authors":["Jie, Pengyu","Liu, Wanquan","Gao, Chenqiang","Wen, Yihui","He, Rui","Wen, Weiping"],"url":"https://arxiv.org/abs/2405.20044","arxiv_id":"2405.20044","published":"2026-02-11"},{"title":"MpoxSLDNet: A Novel CNN Model for Detecting Monkeypox Lesions and Performance Comparison with Pre-trained Models","abstract":"Monkeypox virus (MPXV) is a zoonotic virus that poses a significant threat to public health, particularly in remote parts of Central and West Africa. Early detection of monkeypox lesions is crucial for effective treatment. However, due to its similarity with other skin diseases, monkeypox lesion detection is a challenging task. To detect monkeypox, many researchers used various deep-learning models such as MobileNetv","authors":["Dihan, Fatema Jannat","Murad, Saydul Akbar"],"url":"https://arxiv.org/abs/2405.21016","arxiv_id":"2405.21016","published":"2026-02-11"},{"title":"A Generalized Version of Chung's Lemma and its Applications","abstract":"Chung's Lemma is a classical tool for establishing asymptotic convergence rates of (stochastic) optimization methods under strong convexity-type assumptions and appropriate polynomial diminishing step sizes. In this work, we develop a generalized version of Chung's Lemma, which provides a simple non-asymptotic convergence framework for a more general family of step size rules. We demonstrate broad applicabili","authors":["Jiang, Li","Li, Xiao","Milzarek, Andre","Qiu, Junwen"],"url":"https://arxiv.org/abs/2406.05637","arxiv_id":"2406.05637","published":"2026-02-11"},{"title":"Evaluating lightweight unsupervised online IDS for masquerade attacks in CAN","abstract":"Vehicular controller area networks (CANs) are susceptible to masquerade attacks by malicious adversaries. In masquerade attacks, adversaries silence a targeted ID and then send malicious frames with forged content at the expected timing of benign frames. As masquerade attacks could seriously harm vehicle functionality and are the stealthiest attacks to detect in CAN, recent work has devoted attention to compare frame","authors":["Moriano, Pablo","Hespeler, Steven C.","Li, Mingyan","Bridges, Robert A."],"url":"https://arxiv.org/abs/2406.13778","arxiv_id":"2406.13778","published":"2026-02-11"},{"title":"General Binding Affinity Guidance for Diffusion Models in Structure-Based Drug Design","abstract":"Structure-based drug design (SBDD) aims to generate ligands that bind strongly and specifically to target protein pockets. Recent diffusion models have advanced SBDD by capturing the distributions of atomic positions and types, yet they often underemphasize binding affinity control during generation. To address this limitation, we introduce \\textbf{\\textnormal{\\textbf{BADGER}}}, a general \\textbf{binding-affinity gui","authors":["Jian, Yue","Wu, Curtis","Reidenbach, Danny","Krishnapriyan, Aditi S."],"url":"https://arxiv.org/abs/2406.16821","arxiv_id":"2406.16821","published":"2026-02-11"},{"title":"Decomposed Direct Preference Optimization for Structure-Based Drug Design","abstract":"Diffusion models have achieved promising results for Structure-Based Drug Design (SBDD). Nevertheless, high-quality protein subpocket and ligand data are relatively scarce, which hinders the models' generation capabilities. Recently, Direct Preference Optimization (DPO) has emerged as a pivotal tool for aligning generative models with human preferences. In this paper, we propose DecompDPO, a structure-based optim","authors":["Cheng, Xiwei","Zhou, Xiangxin","Yang, Yuwei","Bao, Yu","Gu, Quanquan"],"url":"https://arxiv.org/abs/2407.13981","arxiv_id":"2407.13981","published":"2026-02-11"},{"title":"Aggregation Models with Optimal Weights for Distributed Gaussian Processes","abstract":"Gaussian process (GP) models have received increasing attention in recent years due to their superb prediction accuracy and modeling flexibility. To address the computational burdens of GP models for large-scale datasets, distributed learning for GPs are often adopted. Current aggregation models for distributed GPs is not time-efficient when incorporating correlations between GP experts. In this work, we propose a no","authors":["Chen, Haoyuan","Tuo, Rui"],"url":"https://arxiv.org/abs/2408.00955","arxiv_id":"2408.00955","published":"2026-02-11"},{"title":"Data-efficient and Interpretable Inverse Materials Design using a Disentangled Variational Autoencoder","abstract":"Inverse materials design has proven successful in accelerating novel material discovery. Many inverse materials design methods use unsupervised learning where a latent space is learned to offer a compact description of materials representations. A latent space learned this way is likely to be entangled, in terms of the target property and other properties of the materials. This makes the inverse design process ambigu","authors":["Zeng, Cheng","Khan, Zulqarnain","Post, Nathan L."],"url":"https://arxiv.org/abs/2409.06740","arxiv_id":"2409.06740","published":"2026-02-11"},{"title":"LoRA Provides Differential Privacy by Design via Random Sketching","abstract":"Low-rank adaptation of language models has been proposed to reduce the computational and memory overhead of fine-tuning pre-trained language models. LoRA incorporates trainable low-rank matrices into some parameters of the pre-trained model, called adapters. In this work, we show theoretically that the low-rank adaptation mechanism of LoRA is equivalent to fine-tuning adapters with noisy batch gradients, with the noi","authors":["Malekmohammadi, Saber","Farnadi, Golnoosh"],"url":"https://arxiv.org/abs/2409.17538","arxiv_id":"2409.17538","published":"2026-02-11"},{"title":"BiSSL: Enhancing the Alignment Between Self-Supervised Pretraining and Downstream Fine-Tuning via Bilevel Optimization","abstract":"Models initialized from self-supervised pretraining may suffer from poor alignment with downstream tasks, reducing the extent to which subsequent fine-tuning can adapt pretrained features toward downstream objectives. To mitigate this, we introduce BiSSL, a novel bilevel training framework that enhances the alignment of self-supervised pretrained models with downstream tasks prior to fine-tuning. BiSSL acts as an int","authors":["Zakarias, Gustav Wagner","Hansen, Lars Kai","Tan, Zheng-Hua"],"url":"https://arxiv.org/abs/2410.02387","arxiv_id":"2410.02387","published":"2026-02-11"},{"title":"Measuring and Controlling Solution Degeneracy across Task-Trained Recurrent Neural Networks","abstract":"Task-trained recurrent neural networks (RNNs) are widely used in neuroscience and machine learning to model dynamical computations. To gain mechanistic insight into how neural systems solve tasks, prior work often reverse-engineers individual trained networks. However, different RNNs trained on the same task and achieving similar performance can exhibit strikingly different internal solutions, a phenomenon known as s","authors":["Huang, Ann","Singh, Satpreet H.","Martinelli, Flavio","Rajan, Kanaka"],"url":"https://arxiv.org/abs/2410.03972","arxiv_id":"2410.03972","published":"2026-02-11"}],"history":{"events":[{"year":2018,"text":"Saratov Airlines Flight 703 crashed shortly after take-off in Russia due to icing conditions, killing all 71 people on board.","url":"https://en.wikipedia.org/wiki/Saratov_Airlines_Flight_703"},{"year":2015,"text":"Turkish student Özgecan Aslan was murdered during a rape attempt, sparking mass demonstrations across the country after her body was discovered two days later.","url":"https://en.wikipedia.org/wiki/Murder_of_%C3%96zgecan_Aslan"},{"year":2008,"text":"Rebel East Timorese soldiers invaded the homes of President José Ramos-Horta and Prime Minister Xanana Gusmão, seriously wounding the former.","url":"https://en.wikipedia.org/wiki/2008_East_Timorese_assassination_attempts"},{"year":2001,"text":"The computer worm Anna Kournikova, which would affect millions of users worldwide, was released by a 20-year-old Dutch student.","url":"https://en.wikipedia.org/wiki/Computer_worm"},{"year":1990,"text":"Anti-apartheid activist Nelson Mandela, having been a political prisoner for 27 years, was released from Victor Verster Prison near Paarl, South Africa.","url":"https://en.wikipedia.org/wiki/Nelson_Mandela"},{"year":1976,"text":"The Frente de Liberación Homosexual made their final public appearance, shortly before the group's dissolution due to political repression after the Argentine coup d'état.","url":"https://en.wikipedia.org/wiki/Frente_de_Liberaci%C3%B3n_Homosexual"},{"year":1938,"text":"The BBC aired an adaptation of a section of Czech writer Karel Čapek's play R.U.R. in the first broadcast of science fiction on television.","url":"https://en.wikipedia.org/wiki/BBC"},{"year":1919,"text":"Friedrich Ebert was elected the provisional president of Germany by the Weimar National Assembly.","url":"https://en.wikipedia.org/wiki/Friedrich_Ebert"},{"year":1851,"text":"As part of celebrations marking the separation of Victoria from New South Wales, the inaugural first-class cricket match in Australia began at the Launceston Racecourse in Tasmania.","url":"https://en.wikipedia.org/wiki/Victoria_(state)"},{"year":1840,"text":"La fille du régiment (audio featured), an opéra comique by Gaetano Donizetti, premiered in Paris to highly negative reviews but later became a success.","url":"https://en.wikipedia.org/wiki/La_fille_du_r%C3%A9giment"},{"year":1826,"text":"London University, later University College London (pictured), was founded as the first secular university in England.","url":"https://en.wikipedia.org/wiki/University_College_London"},{"year":1823,"text":"Around 110 boys were killed in a human crush at the Convent of the Minori Osservanti (corridor pictured) in Valletta on the last day of the Maltese Carnival.","url":"https://en.wikipedia.org/wiki/Carnival_tragedy_of_1823"},{"year":1584,"text":"Spanish explorer Pedro Sarmiento de Gamboa founded the town of Nombre de Jesús, the first of two short-lived colonies at the Strait of Magellan.","url":"https://en.wikipedia.org/wiki/Pedro_Sarmiento_de_Gamboa"}],"births":[{"year":2002,"text":"Liam Lawson, New Zealand racing driver","url":"https://en.wikipedia.org/wiki/Liam_Lawson"},{"year":2001,"text":"Bryan Gil, Spanish footballer","url":"https://en.wikipedia.org/wiki/Bryan_Gil"},{"year":2000,"text":"Nassir Little, American basketball player","url":"https://en.wikipedia.org/wiki/Nassir_Little"},{"year":1998,"text":"Trent Frederic, American ice hockey player","url":"https://en.wikipedia.org/wiki/Trent_Frederic"},{"year":1998,"text":"Josh Jacobs, American football player","url":"https://en.wikipedia.org/wiki/Josh_Jacobs"},{"year":1998,"text":"Khalid, American singer and songwriter","url":"https://en.wikipedia.org/wiki/Khalid_(singer)"},{"year":1997,"text":"Damien Harris, American football player","url":"https://en.wikipedia.org/wiki/Damien_Harris"},{"year":1997,"text":"Mike Hughes, American football player","url":"https://en.wikipedia.org/wiki/Mike_Hughes_(American_football)"}],"deaths":[{"year":2026,"text":"James Van Der Beek, American actor (born 1977)","url":"https://en.wikipedia.org/wiki/James_Van_Der_Beek"},{"year":2025,"text":"Betsy Arakawa, American classical pianist (born 1959)","url":"https://en.wikipedia.org/wiki/Betsy_Arakawa"},{"year":2025,"text":"Moses Lim, Singaporean actor (born 1949)","url":"https://en.wikipedia.org/wiki/Moses_Lim"},{"year":2024,"text":"Allen J. Bard, American chemist (born 1933)","url":"https://en.wikipedia.org/wiki/Allen_J._Bard"},{"year":2024,"text":"Kelvin Kiptum, African long-distance runner(born 1999)","url":"https://en.wikipedia.org/wiki/Kelvin_Kiptum"},{"year":2023,"text":"Donald Spoto, American biographer (born 1941)","url":"https://en.wikipedia.org/wiki/Donald_Spoto"},{"year":2018,"text":"Vic Damone, American singer, songwriter and actor (born 1928)","url":"https://en.wikipedia.org/wiki/Vic_Damone"},{"year":2018,"text":"Asma Jahangir, Pakistani human-rights lawyer and social activist (born 1952)","url":"https://en.wikipedia.org/wiki/Asma_Jahangir"}]},"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."}