{"date":"2026-01-08","schema_version":1,"captured_at":"2026-08-25T23:22:26.501Z","complete":true,"sources_captured":["attention","frontier","research","history"],"counts":{"attention":30,"frontier":25,"research":25,"history":16},"attention":[{"title":"Greenland","views":311559,"rank":3,"extract":"Greenland is an autonomous territory of the Kingdom of Denmark and is the largest of the kingdom's three constituent parts by land area, the others being Denmark proper and the Faroe Islands. Citizens of Greenland are citizens of Denmark. They are thus citizen","url":"https://en.wikipedia.org/wiki/Greenland","thumb":"https://upload.wikimedia.org/wikipedia/commons/thumb/0/09/Flag_of_Greenland.svg/330px-Flag_of_Greenland.svg.png?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"},{"title":"Dhurandhar","views":221413,"rank":6,"extract":"Dhurandhar is a 2025 Indian Hindi-language spy action thriller film written and directed by Aditya Dhar. 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Existing methods that focus on sentence arrangement, textual consistency, and question answering are inadequate in addressing this issue. To bridge this gap, we introduce InsertGNN, which conceptualizes the problem as a graph and employs a hierarchical Graph Neural Network (GNN) to co","authors":["Wu, Fang","Li, Stan Z."],"url":"https://arxiv.org/abs/2103.15066","arxiv_id":"2103.15066","published":"2026-01-08"},{"title":"Practitioner Motives to Use Different Hyperparameter Optimization Methods","abstract":"Programmatic hyperparameter optimization (HPO) methods, such as Bayesian optimization and evolutionary algorithms, are highly sample-efficient in identifying optimal hyperparameter configurations for machine learning (ML) models. However, practitioners frequently use less efficient methods, such as grid search, which can lead to under-optimized models. We suspect this behavior is driven by a range of practitioner-spe","authors":["Kannengießer, Niclas","Hasebrook, Niklas","Morsbach, Felix","Zöller, Marc-André","Franke, Jörg","Lindauer, Marius"],"url":"https://arxiv.org/abs/2203.01717","arxiv_id":"2203.01717","published":"2026-01-08"},{"title":"Discovering the Representation Bottleneck of Graph Neural Networks","abstract":"Graph neural networks (GNNs) rely mainly on the message-passing paradigm to propagate node features and build interactions, and different graph learning problems require different ranges of node interactions. In this work, we explore the capacity of GNNs to capture node interactions under contexts of different complexities. We discover that GNNs usually fail to capture the most informative kinds of interaction styles","authors":["Wu, Fang","Li, Siyuan","Li, Stan Z."],"url":"https://arxiv.org/abs/2205.07266","arxiv_id":"2205.07266","published":"2026-01-08"},{"title":"Inference in conditioned dynamics through causality restoration","abstract":"Computing observables from conditioned dynamics is typically computationally hard, because, although obtaining independent samples efficiently from the unconditioned dynamics is usually feasible, generally most of the samples must be discarded (in a form of importance sampling) because they do not satisfy the imposed conditions. Sampling directly from the conditioned distribution is non-trivial, as conditioning break","authors":["Braunstein, Alfredo","Catania, Giovanni","Dall'Asta, Luca","Mariani, Matteo","Muntoni, Anna Paola"],"url":"https://arxiv.org/abs/2210.10179","arxiv_id":"2210.10179","published":"2026-01-08"},{"title":"Instructor-inspired Machine Learning for Robust Molecular Property Prediction","abstract":"Machine learning catalyzes a revolution in chemical and biological science. However, its efficacy heavily depends on the availability of labeled data, and annotating biochemical data is extremely laborious. To surmount this data sparsity challenge, we present an instructive learning algorithm named InstructMol to measure pseudo-labels' reliability and help the target model leverage large-scale unlabeled data. Ins","authors":["Wu, Fang","Jin, Shuting","Li, Siyuan","Li, Stan Z."],"url":"https://arxiv.org/abs/2304.03906","arxiv_id":"2304.03906","published":"2026-01-08"},{"title":"Computing Universal Plans for Partially Observable Multi-Agent Routing Using Answer Set Programming","abstract":"Multi-agent routing problems have gained significant attention recently due to their wide range of industrial applications, ranging from logistics warehouse automation to indoor service robots. Conventionally, they are modeled as classical planning problems. In this paper, we argue that it can be beneficial to formulate them as universal planning problems, particularly when the agents are autonomous entities and may ","authors":["Zhu, Fengming","Lin, Fangzhen"],"url":"https://arxiv.org/abs/2305.16203","arxiv_id":"2305.16203","published":"2026-01-08"},{"title":"SQL2Circuits: Estimating Cardinalities, Execution Times, and Costs for SQL Queries with Quantum Natural Language Processing","abstract":"Recent advances in quantum computing have led to progress in exploring quantum applications across diverse fields, including databases and data management. This work presents a quantum machine learning model that tackles the challenge of estimating metrics, such as cardinalities, execution times, and costs, for SQL queries in relational databases. Precise estimations are crucial for the query optimizer to optimize qu","authors":["Uotila, Valter"],"url":"https://arxiv.org/abs/2306.08529","arxiv_id":"2306.08529","published":"2026-01-08"},{"title":"Generalized Logit Adjustment: Calibrating Fine-tuned Models by Removing Label Bias in Foundation Models","abstract":"Foundation models like CLIP allow zero-shot transfer on various tasks without additional training data. Yet, the zero-shot performance is less competitive than a fully supervised one. Thus, to enhance the performance, fine-tuning and ensembling are also commonly adopted to better fit the downstream tasks. However, we argue that such prior work has overlooked the inherent biases in foundation models. Due to the highly","authors":["Zhu, Beier","Tang, Kaihua","Sun, Qianru","Zhang, Hanwang"],"url":"https://arxiv.org/abs/2310.08106","arxiv_id":"2310.08106","published":"2026-01-08"},{"title":"An Anytime Algorithm for Good Arm Identification","abstract":"In good arm identification (GAI), the goal is to identify one arm whose average performance exceeds a given threshold, referred to as a good arm, if it exists. Few works have studied GAI in the fixed-budget setting when the sampling budget is fixed beforehand, or in the anytime setting, when a recommendation can be asked at any time. We propose APGAI, an anytime and parameter-free sampling rule for GAI in stochastic ","authors":["Jourdan, Marc","Delahaye-Duriez, Andrée","Réda, Clémence"],"url":"https://arxiv.org/abs/2310.10359","arxiv_id":"2310.10359","published":"2026-01-08"},{"title":"Unmasking Bias in AI: A Systematic Review of Bias Detection and Mitigation Strategies in Electronic Health Record-based Models","abstract":"Objectives: Leveraging artificial intelligence (AI) in conjunction with electronic health records (EHRs) holds transformative potential to improve healthcare. Yet, addressing bias in AI, which risks worsening healthcare disparities, cannot be overlooked. This study reviews methods to detect and mitigate diverse forms of bias in AI models developed using EHR data. Methods: We conducted a systematic review following th","authors":["Chen, Feng","Wang, Liqin","Hong, Julie","Jiang, Jiaqi","Zhou, Li"],"url":"https://arxiv.org/abs/2310.19917","arxiv_id":"2310.19917","published":"2026-01-08"},{"title":"Efficient 3D affinely equivariant CNNs with adaptive fusion of augmented spherical Fourier-Bessel bases","abstract":"Filter-decomposition-based group equivariant convolutional neural networks (CNNs) have shown promising stability and data efficiency for 3D image feature extraction. However, these networks, which rely on parameter sharing and discrete transformation groups, often underperform in modern deep neural network architectures for processing volumetric images with dense 3D textures, such as the common 3D medical images. To ","authors":["Zhao, Wenzhao","Albert, Steffen","Wichtmann, Barbara D.","Maurer, Angelika","Attenberger, Ulrike","Zöllner, Frank G."],"url":"https://arxiv.org/abs/2402.16825","arxiv_id":"2402.16825","published":"2026-01-08"},{"title":"BiLO: Bilevel Local Operator Learning for PDE Inverse Problems","abstract":"We propose a new neural network based method for solving inverse problems for partial differential equations (PDEs) by formulating the PDE inverse problem as a bilevel optimization problem. At the upper level, we minimize the data loss with respect to the PDE parameters. At the lower level, we train a neural network to locally approximate the PDE solution operator in the neighborhood of a given set of PDE parameters,","authors":["Zhang, Ray Zirui","Miles, Christopher E.","Xie, Xiaohui","Lowengrub, John S."],"url":"https://arxiv.org/abs/2404.17789","arxiv_id":"2404.17789","published":"2026-01-08"},{"title":"Region of Interest Loss for Anonymizing Learned Image Compression","abstract":"The use of AI in public spaces continually raises concerns about privacy and the protection of sensitive data. An example is the deployment of detection and recognition methods on humans, where images are provided by surveillance cameras. This results in the acquisition of great amounts of sensitive data, since the capture and transmission of images taken by such cameras happens unaltered, for them to be received by ","authors":["Liebender, Christoph","Bezerra, Ranulfo","Ohno, Kazunori","Tadokoro, Satoshi"],"url":"https://arxiv.org/abs/2406.05726","arxiv_id":"2406.05726","published":"2026-01-08"},{"title":"Which Country Is This? Automatic Country Ranking of Street View Photos","abstract":"In this demonstration, we present Country Guesser, a live system that guesses the country that a photo is taken in. In particular, given a Google Street View image, our federated ranking model uses a combination of computer vision, machine learning and text retrieval methods to compute a ranking of likely countries of the location shown in a given image from Street View. Interestingly, using text-based features to pr","authors":["Menzner, Tim","Leidner, Jochen L.","Mittag, Florian"],"url":"https://arxiv.org/abs/2406.07227","arxiv_id":"2406.07227","published":"2026-01-08"},{"title":"Experiments in News Bias Detection with Pre-Trained Neural Transformers","abstract":"The World Wide Web provides unrivalled access to information globally, including factual news reporting and commentary. However, state actors and commercial players increasingly spread biased (distorted) or fake (non-factual) information to promote their agendas. We compare several large, pre-trained language models on the task of sentence-level news bias detection and sub-type classification, providing quantitative ","authors":["Menzner, Tim","Leidner, Jochen L."],"url":"https://arxiv.org/abs/2406.09938","arxiv_id":"2406.09938","published":"2026-01-08"},{"title":"Deep Vision-Based Framework for Coastal Flood Prediction Under Climate Change Impacts and Shoreline Adaptations","abstract":"In light of growing threats posed by climate change in general and sea level rise (SLR) in particular, the necessity for computationally efficient means to estimate and analyze potential coastal flood hazards has become increasingly pressing. Data-driven supervised learning methods serve as promising candidates that can dramatically expedite the process, thereby eliminating the computational bottleneck associated wit","authors":["Karapetyan, Areg","Chow, Aaron Chung Hin","Madanat, Samer"],"url":"https://arxiv.org/abs/2406.15451","arxiv_id":"2406.15451","published":"2026-01-08"},{"title":"Graph Reinforcement Learning for Power Grids: A Comprehensive Survey","abstract":"The increasing share of renewable energy and distributed electricity generation requires the development of deep learning approaches to address the lack of flexibility inherent in traditional power grid methods. In this context, Graph Neural Networks are a promising solution due to their ability to learn from graph-structured data. Combined with Reinforcement Learning, they can be used as control approaches to determ","authors":["Hassouna, Mohamed","Holzhüter, Clara","Lytaev, Pawel","Thomas, Josephine","Sick, Bernhard","Scholz, Christoph"],"url":"https://arxiv.org/abs/2407.04522","arxiv_id":"2407.04522","published":"2026-01-08"},{"title":"Towards the Terminator Economy: Assessing Job Exposure to AI through LLMs","abstract":"AI and related technologies are reshaping jobs and tasks, either by automating or augmenting human skills in the workplace. Many researchers have been working on estimating if and to what extent jobs and tasks are exposed to the risk of being automatized by AI-related technologies. Our work tackles this issue through a data-driven approach by: (i) developing a reproducible framework that uses cutting-edge open-source","authors":["Colombo, Emilio","Mercorio, Fabio","Mezzanzanica, Mario","Serino, Antonio"],"url":"https://arxiv.org/abs/2407.19204","arxiv_id":"2407.19204","published":"2026-01-08"},{"title":"Quantum-machine-assisted Drug Discovery","abstract":"Drug discovery is lengthy and expensive, with traditional computer-aided design facing limits. This paper examines integrating quantum computing across the drug development cycle to accelerate and enhance workflows and rigorous decision-making. It highlights quantum approaches for molecular simulation, drug-target interaction prediction, and optimizing clinical trials. Leveraging quantum capabilities could accelerate","authors":["Zhou, Yidong","Chen, Jintai","Cheng, Jinglei","Cao, Xu","Zhang, Yuanyuan","Karemore, Gopal"],"url":"https://arxiv.org/abs/2408.13479","arxiv_id":"2408.13479","published":"2026-01-08"},{"title":"FÆRDXEL: An Expert System for Danish Traffic Law","abstract":"We present FÆRDXEL, a tool for symbolic reasoning in the domain of Danish traffic law. FÆRDXEL combines techniques from logic programming with a novel interface that allows users to navigate through its reasoning process, thereby ensuring the system's explainability. Towards the goal of better understanding the value of FÆRDXEL, two evaluations of the system have been performed: (1) An empirical evaluation showin","authors":["Cruz-Filipe, Luís","Vistrup, Jonas"],"url":"https://arxiv.org/abs/2410.03560","arxiv_id":"2410.03560","published":"2026-01-08"},{"title":"An Overview of Prototype Formulations for Interpretable Deep Learning","abstract":"Prototypical part networks offer interpretable alternatives to black-box deep learning models by learning visual prototypes for classification. This work provides a comprehensive analysis of prototype formulations, comparing point-based and probabilistic approaches in both Euclidean and hyperspherical latent spaces. We introduce HyperPG, a probabilistic prototype representation using Gaussian distributions on hypersp","authors":["Li, Maximilian Xiling","Rudolf, Korbinian Franz","Mattes, Paul","Blank, Nils","Lioutikov, Rudolf"],"url":"https://arxiv.org/abs/2410.08925","arxiv_id":"2410.08925","published":"2026-01-08"},{"title":"Point Cloud Synthesis Using Inner Product Transforms","abstract":"Point cloud synthesis, i.e. the generation of novel point clouds from an input distribution, remains a challenging task, for which numerous complex machine learning models have been devised. We develop a novel method that encodes geometrical-topological characteristics of point clouds using inner products, leading to a highly-efficient point cloud representation with provable expressivity properties. Integrated into ","authors":["Röell, Ernst","Rieck, Bastian"],"url":"https://arxiv.org/abs/2410.18987","arxiv_id":"2410.18987","published":"2026-01-08"},{"title":"Imagining and building wise machines: The centrality of AI metacognition","abstract":"Although AI has become increasingly smart, its wisdom has not kept pace. In this article, we examine what is known about human wisdom and sketch a vision of its AI counterpart. We analyze human wisdom as a set of strategies for solving intractable problems-those outside the scope of analytic techniques-including both object-level strategies like heuristics [for managing problems] and metacognitive strategies like int","authors":["Johnson, Samuel G. B.","Karimi, Amir-Hossein","Bengio, Yoshua","Chater, Nick","Gerstenberg, Tobias","Larson, Kate"],"url":"https://arxiv.org/abs/2411.02478","arxiv_id":"2411.02478","published":"2026-01-08"},{"title":"Exploring Iterative Controllable Summarization with Large Language Models","abstract":"Large language models (LLMs) have demonstrated remarkable performance in abstractive summarization tasks. However, their ability to precisely control summary attributes (e.g., length or topic) remains underexplored, limiting their adaptability to specific user preferences. In this paper, we systematically explore the controllability of LLMs. To this end, we revisit summary attribute measurements and introduce iterati","authors":["Ryu, Sangwon","Do, Heejin","Kim, Daehee","Yu, Hwanjo","Kim, Dongwoo","Kim, Yunsu"],"url":"https://arxiv.org/abs/2411.12460","arxiv_id":"2411.12460","published":"2026-01-08"},{"title":"Difficulty Controlled Diffusion Model for Synthesizing Effective Training Data","abstract":"Generative models have become a powerful tool for synthesizing training data in computer vision tasks. Current approaches solely focus on aligning generated images with the target dataset distribution. As a result, they capture only the common features in the real dataset and mostly generate 'easy samples', which are already well learned by models trained on real data. In contrast, those rare 'hard sample","authors":["Wang, Zerun","Mao, Jiafeng","Wang, Xueting","Yamasaki, Toshihiko"],"url":"https://arxiv.org/abs/2411.18109","arxiv_id":"2411.18109","published":"2026-01-08"}],"history":{"events":[{"year":2011,"text":"Jared Lee Loughner opened fire at a public meeting held by U.S. representative Gabby Giffords in Tucson, Arizona, killing six people and injuring twelve others.","url":"https://en.wikipedia.org/wiki/Jared_Lee_Loughner"},{"year":2010,"text":"Gunmen from an offshoot of the Front for the Liberation of the Enclave of Cabinda attacked the bus transporting the Togo national football team to the Africa Cup of Nations in Angola, killing three people.","url":"https://en.wikipedia.org/wiki/Front_for_the_Liberation_of_the_Enclave_of_Cabinda"},{"year":1991,"text":"Jeremy Wade Delle committed suicide in his high-school class in Richardson, Texas, an event that inspired the Pearl Jam song \"Jeremy\".","url":"https://en.wikipedia.org/wiki/Richardson%2C_Texas"},{"year":1981,"text":"In Trans-en-Provence, France, a local farmer reported a UFO sighting claimed to be \"perhaps the most completely and carefully documented sighting of all time\".","url":"https://en.wikipedia.org/wiki/Trans-en-Provence"},{"year":1977,"text":"Three bombs attributed to Armenian nationalists exploded across Moscow, killing seven people and injuring 37 people.","url":"https://en.wikipedia.org/wiki/1977_Moscow_bombings"},{"year":1972,"text":"Following Pakistan's defeat in the Bangladesh Liberation War, President Zulfikar Ali Bhutto released Bangladeshi politician Sheikh Mujibur Rahman (pictured) from prison in response to international pressure.","url":"https://en.wikipedia.org/wiki/Pakistani_Instrument_of_Surrender"},{"year":1956,"text":"Five Evangelical Christian missionaries from the United States were killed by the Huaorani in the rainforest of Ecuador shortly after making contact with them.","url":"https://en.wikipedia.org/wiki/Evangelicalism"},{"year":1939,"text":"The New Deal for Aborigines was formally announced by the Australian government, providing for full civil rights for Indigenous Australians in exchange for cultural assimilation.","url":"https://en.wikipedia.org/wiki/New_Deal_for_Aborigines"},{"year":1936,"text":"Reza Shah issued the Kashf-e hijab decree, ordering Iranian police to remove hijabs from any women in public.","url":"https://en.wikipedia.org/wiki/Reza_Shah"},{"year":1918,"text":"U.S. president Woodrow Wilson announced his Fourteen Points for a moral cause and for post–World War I peace in Europe.","url":"https://en.wikipedia.org/wiki/Woodrow_Wilson"},{"year":1904,"text":"Blackstone Library (pictured), the first branch of the Chicago Public Library system, was dedicated.","url":"https://en.wikipedia.org/wiki/Blackstone_Library"},{"year":1889,"text":"American statistician Herman Hollerith received a patent for his electromechanical tabulating machine for punched-card data.","url":"https://en.wikipedia.org/wiki/Herman_Hollerith"},{"year":1790,"text":"George Washington delivered the first State of the Union address in New York City, then the provisional capital of the United States.","url":"https://en.wikipedia.org/wiki/George_Washington"},{"year":1735,"text":"George Frideric Handel's opera Ariodante premiered at the Covent Garden Theatre (pictured) in London.","url":"https://en.wikipedia.org/wiki/George_Frideric_Handel"},{"year":1697,"text":"Scottish student Thomas Aikenhead became the last person in Great Britain to be executed for blasphemy.","url":"https://en.wikipedia.org/wiki/Thomas_Aikenhead"},{"year":1198,"text":"Lotario dei Conti was elected as Pope Innocent III; he later worked to restore papal power in Rome.","url":"https://en.wikipedia.org/wiki/1198_papal_election"}],"births":[{"year":2001,"text":"Zach Charbonnet, American football player","url":"https://en.wikipedia.org/wiki/Zach_Charbonnet"},{"year":2000,"text":"Noah Cyrus, American singer, songwriter, and actress","url":"https://en.wikipedia.org/wiki/Noah_Cyrus"},{"year":1999,"text":"Ignas Brazdeikis, Lithuanian-Canadian basketball player","url":"https://en.wikipedia.org/wiki/Ignas_Brazdeikis"},{"year":1999,"text":"Damiano David, Italian singer-songwriter","url":"https://en.wikipedia.org/wiki/Damiano_David"},{"year":1998,"text":"Tony Bradley, American basketball player","url":"https://en.wikipedia.org/wiki/Tony_Bradley_(basketball)"},{"year":1998,"text":"Jhoan Durán, Dominican baseball player","url":"https://en.wikipedia.org/wiki/Jhoan_Dur%C3%A1n"},{"year":1995,"text":"Ryan Destiny, American actress and singer","url":"https://en.wikipedia.org/wiki/Ryan_Destiny"},{"year":1994,"text":"Glenn Robinson III, American basketball player","url":"https://en.wikipedia.org/wiki/Glenn_Robinson_III"}],"deaths":[{"year":2025,"text":"Mangkra Souvanna Phouma, Laotian prince (born 1938)","url":"https://en.wikipedia.org/wiki/Mangkra_Souvanna_Phouma"},{"year":2024,"text":"Adan Canto, Mexican actor (born 1981)","url":"https://en.wikipedia.org/wiki/Adan_Canto"},{"year":2022,"text":"Michael Lang, American concert promoter and producer (born 1944)","url":"https://en.wikipedia.org/wiki/Michael_Lang_(producer)"},{"year":2021,"text":"Iancu Țucărman, Romanian Holocaust survivor (born 1922)","url":"https://en.wikipedia.org/wiki/Iancu_%C8%9Auc%C4%83rman"},{"year":2020,"text":"Pat Dalton, Australian footballer (born 1942)","url":"https://en.wikipedia.org/wiki/Pat_Dalton"},{"year":2020,"text":"Buck Henry, American actor, screenwriter, and director (born 1930)","url":"https://en.wikipedia.org/wiki/Buck_Henry"},{"year":2017,"text":"Nicolai Gedda, Swedish operatic tenor (born 1925)","url":"https://en.wikipedia.org/wiki/Nicolai_Gedda"},{"year":2017,"text":"James Mancham, Seychellois politician, President 1976-77 (born 1939)","url":"https://en.wikipedia.org/wiki/James_Mancham"}]},"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."}