{"date":"2026-02-13","schema_version":1,"captured_at":"2026-08-25T23:28:18.336Z","complete":true,"sources_captured":["attention","frontier","research","history"],"counts":{"attention":30,"frontier":25,"research":25,"history":12},"attention":[{"title":"James Van Der Beek","views":1735845,"rank":2,"extract":"James David Van Der Beek was an American actor. 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BM-Global efficiently decreases the objective value via low-cost steps leveraging the nonconvex but smooth Burer-Monteiro (BM) decomposition, while effectively escapes saddle points and spurious local minima ubiquitous in the BM form to obtain guarantees of fast convergence rates to the glob","authors":["Lee, Ching-pei","Liang, Ling","Tang, Tianyun","Toh, Kim-Chuan"],"url":"https://arxiv.org/abs/2204.14067","arxiv_id":"2204.14067","published":"2026-02-13"},{"title":"Minimax Optimal Estimation of Stability Under Distribution Shift","abstract":"The performance of decision policies and prediction models often deteriorates when applied to environments different from the ones seen during training. To ensure reliable operation, we analyze the stability of a system under distribution shift, which is defined as the smallest change in the underlying environment that causes the system's performance to deteriorate beyond a permissible threshold. 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However, most existing diffusion-based approaches do not exploit the u","authors":["Ravula, Sriram","Levac, Brett","Arefeen, Yamin","Jalal, Ajil","Dimakis, Alexandros G.","Tamir, Jonathan I."],"url":"https://arxiv.org/abs/2306.03284","arxiv_id":"2306.03284","published":"2026-02-13"},{"title":"Improving Efficiency of Diffusion Models via Multi-Stage Framework and Tailored Multi-Decoder Architectures","abstract":"Diffusion models, emerging as powerful deep generative tools, excel in various applications. They operate through a two-steps process: introducing noise into training samples and then employing a model to convert random noise into new samples (e.g., images). However, their remarkable generative performance is hindered by slow training and sampling. This is due to the necessity of tracking extensive forward and revers","authors":["Zhang, Huijie","Lu, Yifu","Alkhouri, Ismail","Ravishankar, Saiprasad","Song, Dogyoon","Qu, Qing"],"url":"https://arxiv.org/abs/2312.09181","arxiv_id":"2312.09181","published":"2026-02-13"},{"title":"Compiling High-Level Neural Network Specifications into VNN-LIB Queries","abstract":"The formal verification of traditional software has been revolutionised by verification-orientated languages such as Dafny and F* which enable developers to write high-level specifications that are automatically compiled down to low-level SMT-LIB queries. In contrast, neural network verification currently lacks such infrastructure, often requiring users to express requirements in formats close to the low-level VNN-LI","authors":["Daggitt, Matthew L.","Kokke, Wen","Atkey, Robert"],"url":"https://arxiv.org/abs/2402.01353","arxiv_id":"2402.01353","published":"2026-02-13"},{"title":"Learning A Physical-aware Diffusion Model Based on Transformer for Underwater Image Enhancement","abstract":"Underwater visuals undergo various complex degradations, inevitably influencing the efficiency of underwater vision tasks. Recently, diffusion models were employed to underwater image enhancement (UIE) tasks, and gained SOTA performance. However, these methods fail to consider the physical properties and underwater imaging mechanisms in the diffusion process, limiting information completion capacity of diffusion mode","authors":["Zhao, Chen","Dong, Chenyu","Cai, Weiling","Wang, Yueyue"],"url":"https://arxiv.org/abs/2403.01497","arxiv_id":"2403.01497","published":"2026-02-13"},{"title":"CT Synthesis with Conditional Diffusion Models for Abdominal Lymph Node Segmentation","abstract":"Despite the significant success achieved by deep learning methods in medical image segmentation, researchers still struggle in the computer-aided diagnosis of abdominal lymph nodes due to the complex abdominal environment, small and indistinguishable lesions, and limited annotated data. To address these problems, we present a pipeline that integrates the conditional diffusion model for lymph node generation and the n","authors":["Yu, Yongrui","Chen, Hanyu","Zhang, Zitian","Xiao, Qiong","Lei, Wenhui","Dai, Linrui"],"url":"https://arxiv.org/abs/2403.17770","arxiv_id":"2403.17770","published":"2026-02-13"},{"title":"Warped Time Series Anomaly Detection","abstract":"This paper addresses the problem of detecting time series outliers, focusing on systems with repetitive behavior, such as industrial robots operating on production lines.Notable challenges arise from the fact that a task performed multiple times may exhibit different duration in each repetition and that the time series reported by the sensors are irregularly sampled because of data gaps. The anomaly detection approac","authors":["Lacoquelle, Charlotte","Pucel, Xavier","Travé-Massuyès, Louise","Reymonet, Axel","Enaux, Benoît"],"url":"https://arxiv.org/abs/2404.12134","arxiv_id":"2404.12134","published":"2026-02-13"},{"title":"Are Biological Systems More Intelligent Than Artificial Intelligence?","abstract":"Are biological self-organising systems more ``intelligent'' than artificial intelligence (AI)? If so, why? I address this question using a mathematical framework that defines intelligence in terms of adaptability. Systems are modelled as stacks of abstraction layers (\\emph{Stack Theory}) and compared by how effectively they delegate agentic control down their stacks. I illustrate this using computational, bio","authors":["Bennett, Michael Timothy"],"url":"https://arxiv.org/abs/2405.02325","arxiv_id":"2405.02325","published":"2026-02-13"},{"title":"Feature-Based Interpretable Surrogates for Optimization","abstract":"For optimization models to be used in practice, it is crucial that users trust the results. A key factor in this aspect is the interpretability of the solution process. A previous framework for inherently interpretable optimization models used decision trees to map instances to solutions of the underlying optimization model. Based on this work, we investigate how we can use more general optimization rules to further ","authors":["Goerigk, Marc","Hartisch, Michael","Merten, Sebastian","Sharma, Kartikey"],"url":"https://arxiv.org/abs/2409.01869","arxiv_id":"2409.01869","published":"2026-02-13"},{"title":"Prevailing Research Areas for Music AI in the Era of Foundation Models","abstract":"Parallel to rapid advancements in foundation model research, the past few years have witnessed a surge in music AI applications. As AI-generated and AI-augmented music become increasingly mainstream, many researchers in the music AI community may wonder: what research frontiers remain unexplored? This paper outlines several key areas within music AI research that present significant opportunities for further investig","authors":["Wei, Megan","Modrzejewski, Mateusz","Sivaraman, Aswin","Herremans, Dorien"],"url":"https://arxiv.org/abs/2409.09378","arxiv_id":"2409.09378","published":"2026-02-13"},{"title":"When a Man Says He Is Pregnant: Event-related Potential Evidence for a Rational Account of Speaker-contextualized Language Comprehension","abstract":"Spoken language is often, if not always, understood in a context formed by the identity of the speaker. For example, we can easily make sense of an utterance such as "I'm going to have a manicure this weekend" or "The first time I got pregnant I had a hard time" when spoken by a woman, but it would be harder to understand when it is spoken by a man. Previous ERP studies have shown mixed results re","authors":["Wu, Hanlin","Cai, Zhenguang G."],"url":"https://arxiv.org/abs/2409.17525","arxiv_id":"2409.17525","published":"2026-02-13"},{"title":"Learning a Neural Solver for Parametric PDE to Enhance Physics-Informed Methods","abstract":"Physics-informed deep learning often faces optimization challenges due to the complexity of solving partial differential equations (PDEs), which involve exploring large solution spaces, require numerous iterations, and can lead to unstable training. These challenges arise particularly from the ill-conditioning of the optimization problem caused by the differential terms in the loss function. To address these issues, ","authors":["Boudec, Lise Le","de Bezenac, Emmanuel","Serrano, Louis","Regueiro-Espino, Ramon Daniel","Yin, Yuan","Gallinari, Patrick"],"url":"https://arxiv.org/abs/2410.06820","arxiv_id":"2410.06820","published":"2026-02-13"},{"title":"LabSafety Bench: Benchmarking LLMs on Safety Issues in Scientific Labs","abstract":"Artificial Intelligence (AI) is revolutionizing scientific research, yet its growing integration into laboratory environments presents critical safety challenges. Large language models (LLMs) and vision language models (VLMs) now assist in experiment design and procedural guidance, yet their "illusion of understanding" may lead researchers to overtrust unsafe outputs. Here we show that current models remain f","authors":["Zhou, Yujun","Yang, Jingdong","Huang, Yue","Guo, Kehan","Emory, Zoe","Ghosh, Bikram"],"url":"https://arxiv.org/abs/2410.14182","arxiv_id":"2410.14182","published":"2026-02-13"},{"title":"Shallow Diffuse: Robust and Invisible Watermarking through Low-Dimensional Subspaces in Diffusion Models","abstract":"The widespread use of AI-generated content from diffusion models has raised significant concerns regarding misinformation and copyright infringement. Watermarking is a crucial technique for identifying these AI-generated images and preventing their misuse. In this paper, we introduce Shallow Diffuse, a new watermarking technique that embeds robust and invisible watermarks into diffusion model outputs. Unlike existing","authors":["Li, Wenda","Zhang, Huijie","Qu, Qing"],"url":"https://arxiv.org/abs/2410.21088","arxiv_id":"2410.21088","published":"2026-02-13"},{"title":"Supervised Transfer Learning Framework for Fault Diagnosis in Wind Turbines","abstract":"Common challenges in fault diagnosis include the lack of labeled data and the need to build models for each domain, resulting in many models that require supervision. Transfer learning can help tackle these challenges by learning cross-domain knowledge. Many approaches still require at least some labeled data in the target domain, and often provide unexplainable results. To this end, we propose a supervised transfer ","authors":["Weber, Kenan","Preisach, Christine"],"url":"https://arxiv.org/abs/2411.02127","arxiv_id":"2411.02127","published":"2026-02-13"},{"title":"Scale Contrastive Learning with Selective Attentions for Blind Image Quality Assessment","abstract":"Human visual perception naturally evaluates image quality across multiple scales, a hierarchical process that existing blind image quality assessment (BIQA) algorithms struggle to replicate effectively. This limitation stems from a fundamental misunderstanding: current multi-scale approaches fail to recognize that quality perception varies dramatically between scales -- what appears degraded when viewed closely may l","authors":["Hu, Runze","Huang, Zihao","Li, Xudong","Fu, Bohan","Zhang, Yan","Zhao, Sicheng"],"url":"https://arxiv.org/abs/2411.09007","arxiv_id":"2411.09007","published":"2026-02-13"},{"title":"3D Reconstruction by Looking: Instantaneous Blind Spot Detector for Indoor SLAM through Mixed Reality","abstract":"Indoor SLAM often suffers from issues such as scene drifting, double walls, and blind spots, particularly in confined spaces with objects close to the sensors (e.g. LiDAR and cameras) in reconstruction tasks. Real-time visualization of point cloud registration during data collection may help mitigate these issues, but a significant limitation remains in the inability to in-depth compare the scanned data with actual p","authors":["Chang, Hanbeom","Choi, Jongseong Brad","Yeum, Chul Min"],"url":"https://arxiv.org/abs/2411.12514","arxiv_id":"2411.12514","published":"2026-02-13"},{"title":"NewsInterview: a Dataset and a Playground to Evaluate LLMs' Ground Gap via Informational Interviews","abstract":"Large Language Models (LLMs) have demonstrated impressive capabilities in generating coherent text but often struggle with grounding language and strategic dialogue. To address this gap, we focus on journalistic interviews, a domain rich in grounding communication and abundant in data. We curate a dataset of 40,000 two-person informational interviews from NPR and CNN, and reveal that LLMs are significantly less likel","authors":["Spangher, Alexander","Lu, Michael","Kalyan, Sriya Jeslyn","Cho, Hyundong Justin","Shi, Weiyan","May, Jonathan"],"url":"https://arxiv.org/abs/2411.13779","arxiv_id":"2411.13779","published":"2026-02-13"},{"title":"PBP: Post-training Backdoor Purification for Malware Classifiers","abstract":"In recent years, the rise of machine learning (ML) in cybersecurity has brought new challenges, including the increasing threat of backdoor poisoning attacks on ML malware classifiers. For instance, adversaries could inject malicious samples into public malware repositories, contaminating the training data and potentially misclassifying malware by the ML model. Current countermeasures predominantly focus on detecting","authors":["Nguyen, Dung Thuy","Tran, Ngoc N.","Johnson, Taylor T.","Leach, Kevin"],"url":"https://arxiv.org/abs/2412.03441","arxiv_id":"2412.03441","published":"2026-02-13"},{"title":"Controlling Dynamical Systems into Unseen Target States Using Machine Learning","abstract":"We present a novel, model-free, and data-driven methodology for controlling complex dynamical systems into previously unseen target states, including those with significantly different and complex dynamics. Leveraging a parameter-aware realization of next-generation reservoir computing (NGRC), our approach accurately predicts system behavior in unobserved parameter regimes, enabling control over transitions to arbitr","authors":["Köglmayr, Daniel","Haluszczynski, Alexander","Räth, Christoph"],"url":"https://arxiv.org/abs/2412.10251","arxiv_id":"2412.10251","published":"2026-02-13"},{"title":"Beyond CVaR: Leveraging Static Spectral Risk Measures for Enhanced Decision-Making in Distributional Reinforcement Learning","abstract":"In domains such as finance, healthcare, and robotics, managing worst-case scenarios is critical, as failure to do so can lead to catastrophic outcomes. Distributional Reinforcement Learning (DRL) provides a natural framework to incorporate risk sensitivity into decision-making processes. However, existing approaches face two key limitations: (1) the use of fixed risk measures at each decision step often results in ov","authors":["Moghimi, Mehrdad","Ku, Hyejin"],"url":"https://arxiv.org/abs/2501.02087","arxiv_id":"2501.02087","published":"2026-02-13"},{"title":"FaceQSORT: a Multi-Face Tracking Method based on Biometric and Appearance Features","abstract":"In this work, a novel multi-face tracking method named FaceQSORT is proposed. To mitigate multi-face tracking challenges (e.g., partially occluded or lateral faces), FaceQSORT combines biometric and visual appearance features (extracted from the same image (face) patch) for association. The Q in FaceQSORT refers to the scenario for which FaceQSORT is desinged, i.e. tracking people's faces as they move towards a g","authors":["Jöchl, Robert","Uhl, Andreas"],"url":"https://arxiv.org/abs/2501.11741","arxiv_id":"2501.11741","published":"2026-02-13"},{"title":"Dual Frequency Branch Framework with Reconstructed Sliding Windows Attention for AI-Generated Image Detection","abstract":"The rapid advancement of Generative Adversarial Networks (GANs) and diffusion models has enabled the creation of highly realistic synthetic images, presenting significant societal risks, such as misinformation and deception. As a result, detecting AI-generated images has emerged as a critical challenge. Existing researches emphasize extracting fine-grained features to enhance detector generalization, yet they often l","authors":["Yan, Jiazhen","Li, Ziqiang","Wang, Fan","He, Ziwen","Fu, Zhangjie"],"url":"https://arxiv.org/abs/2501.15253","arxiv_id":"2501.15253","published":"2026-02-13"},{"title":"Compositional Generalization from Learned Skills via CoT Training: A Theoretical and Structural Analysis for Reasoning","abstract":"Chain-of-Thought (CoT) training has markedly advanced the reasoning capabilities of large language models (LLMs), yet the mechanisms by which CoT training enhances generalization remain inadequately understood. In this work, we demonstrate that compositional generalization is fundamental: models systematically combine simpler learned skills during CoT training to address novel and more complex problems. Through a the","authors":["Yao, Xinhao","Ren, Ruifeng","Liao, Yun","Ding, Lizhong","Liu, Yong"],"url":"https://arxiv.org/abs/2502.04667","arxiv_id":"2502.04667","published":"2026-02-13"}],"history":{"events":[{"year":2017,"text":"Kim Jong-nam, the half-brother of North Korean leader Kim Jong Un, was assassinated using VX nerve agent in Kuala Lumpur, Malaysia.","url":"https://en.wikipedia.org/wiki/Kim_Jong-nam"},{"year":2012,"text":"The first Vega rocket was launched by the European Space Agency from the Guiana Space Centre.","url":"https://en.wikipedia.org/wiki/Vega_(rocket)"},{"year":2010,"text":"A terrorist bombing at a bakery popular among foreigners in Pune, India, killed 17 people and injured 60 others.","url":"https://en.wikipedia.org/wiki/2010_Pune_bombing"},{"year":1991,"text":"Gulf War: The United States Air Force dropped two laser-guided \"smart bombs\" on an air-raid shelter in Baghdad, Iraq, which was believed to be a military command site, killing at least 408 civilians.","url":"https://en.wikipedia.org/wiki/Gulf_War"},{"year":1987,"text":"Federal agents began to issue indictments against county-level supervisors in Mississippi after Operation Pretense exposed massive corruption in the state's local governments.","url":"https://en.wikipedia.org/wiki/Board_of_supervisors"},{"year":1981,"text":"Explosions caused by the ignition of hexane vapors destroyed more than 13 miles (21 km) of sewer lines in Louisville, Kentucky, United States.","url":"https://en.wikipedia.org/wiki/Louisville_sewer_explosions"},{"year":1961,"text":"Geode prospectors near Olancha, California, discovered what they claimed to be a 500,000-year-old rock with a 1920s-era spark plug encased within (pictured).","url":"https://en.wikipedia.org/wiki/Geode"},{"year":1960,"text":"African-American college students staged the first of the Nashville sit-ins (sign at protest pictured) at three lunch counters in Nashville, Tennessee, as part of a nonviolent direct-action campaign to end racial segregation in the U.S.","url":"https://en.wikipedia.org/wiki/Nashville_sit-ins"},{"year":1891,"text":"Frances Coles was killed in the last of eleven unsolved murders of women that took place in or near the impoverished Whitechapel district in the East End of London.","url":"https://en.wikipedia.org/wiki/Whitechapel_murders"},{"year":1867,"text":"Work began on the covering of the Senne (pictured), burying the polluted main river of Brussels to allow for urban renewal in the centre of the city.","url":"https://en.wikipedia.org/wiki/Covering_of_the_Senne"},{"year":1692,"text":"Members of Clan MacDonald of Glencoe in the Scottish Highlands were massacred, allegedly for failing to pledge allegiance to the new monarchs, William III and Mary II.","url":"https://en.wikipedia.org/wiki/Clan_MacDonald_of_Glencoe"},{"year":1660,"text":"The four-year-old Charles XI became King of Sweden upon his father's death.","url":"https://en.wikipedia.org/wiki/Charles_XI_of_Sweden"}],"births":[{"year":2005,"text":"Sergio Mestre, Spanish footballer","url":"https://en.wikipedia.org/wiki/Sergio_Mestre_(footballer)"},{"year":2003,"text":"Raúl Asencio, Spanish footballer","url":"https://en.wikipedia.org/wiki/Ra%C3%BAl_Asencio_(footballer%2C_born_2003)"},{"year":2002,"text":"Jaden Ivey, American basketball player","url":"https://en.wikipedia.org/wiki/Jaden_Ivey"},{"year":2002,"text":"Sophia Lillis, American actress","url":"https://en.wikipedia.org/wiki/Sophia_Lillis"},{"year":2001,"text":"Kaapo Kakko, Finnish ice hockey player","url":"https://en.wikipedia.org/wiki/Kaapo_Kakko"},{"year":2000,"text":"Vitinha, Portuguese footballer","url":"https://en.wikipedia.org/wiki/Vitinha"},{"year":1995,"text":"Kendall Fuller, American football player","url":"https://en.wikipedia.org/wiki/Kendall_Fuller"},{"year":1995,"text":"Georges-Kévin Nkoudou, French-Cameroonian footballer","url":"https://en.wikipedia.org/wiki/Georges-K%C3%A9vin_Nkoudou"}],"deaths":[{"year":2025,"text":"Jim Guy Tucker, American lawyer and politician, 43rd Governor of Arkansas (born 1943)","url":"https://en.wikipedia.org/wiki/Jim_Guy_Tucker"},{"year":2021,"text":"Kadir Topbaş, Turkish politician (born 1945)","url":"https://en.wikipedia.org/wiki/Kadir_Topba%C5%9F"},{"year":2019,"text":"Callistus Ndlovu, Zimbabwean academic and politician (born 1936)","url":"https://en.wikipedia.org/wiki/Callistus_Ndlovu"},{"year":2018,"text":"Henrik, Prince Consort of Denmark, French-born Danish royal (born 1934)","url":"https://en.wikipedia.org/wiki/Prince_Henrik_of_Denmark"},{"year":2017,"text":"Ricardo Arias Calderón, Panamanian politician (born 1933)","url":"https://en.wikipedia.org/wiki/Ricardo_Arias_Calder%C3%B3n"},{"year":2017,"text":"Aileen Hernandez, American union organizer and activist (born 1926)","url":"https://en.wikipedia.org/wiki/Aileen_Hernandez"},{"year":2017,"text":"Seijun Suzuki, Japanese filmmaker (born 1923)","url":"https://en.wikipedia.org/wiki/Seijun_Suzuki"},{"year":2017,"text":"Kim Jong-nam, North Korean politician (born 1971)","url":"https://en.wikipedia.org/wiki/Kim_Jong-nam"}]},"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."}