{"date":"2026-02-02","schema_version":1,"captured_at":"2026-08-25T23:27:18.241Z","complete":true,"sources_captured":["attention","frontier","research","history"],"counts":{"attention":30,"frontier":25,"research":25,"history":18},"attention":[{"title":"Carlos Alcaraz","views":692580,"rank":3,"extract":"Carlos Alcaraz Garfia is a Spanish professional tennis player. He has been ranked world No. 1 in men's singles by the Association of Tennis Professionals (ATP) for 66 weeks, and finished as the year-end No. 1 in 2022 and 2025. 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Based on the theory of hypergames, we develop a novel multi-agent dynamic occlusion risk (DOR) measure for assessing situational risk in dynamic occlusion scenarios. Furthermore, we present a white-box, scenario-based, accelerated safety validation f","authors":["Kahn, Maximilian","Sarkar, Atrisha","Czarnecki, Krzysztof"],"url":"https://arxiv.org/abs/2109.09807","arxiv_id":"2109.09807","published":"2026-02-02"},{"title":"Generalized dynamic cognitive hierarchy models for strategic driving behavior","abstract":"While there has been an increasing focus on the use of game theoretic models for autonomous driving, empirical evidence shows that there are still open questions around dealing with the challenges of common knowledge assumptions as well as modeling bounded rationality. To address some of these practical challenges, we develop a framework of generalized dynamic cognitive hierarchy for both modelling naturalistic human","authors":["Sarkar, Atrisha","Larson, Kate","Czarnecki, Krzysztof"],"url":"https://arxiv.org/abs/2109.09861","arxiv_id":"2109.09861","published":"2026-02-02"},{"title":"Three approaches to supervised learning for compositional data with pairwise logratios","abstract":"The common approach to compositional data analysis is to transform the data by means of logratios. Logratios between pairs of compositional parts (pairwise logratios) are the easiest to interpret in many research problems. When the number of parts is large, some form of logratio selection is a must, for instance by means of an unsupervised learning method based on a stepwise selection of the pairwise logratios that e","authors":["Coenders, Germa","Greenacre, Michael"],"url":"https://arxiv.org/abs/2111.08953","arxiv_id":"2111.08953","published":"2026-02-02"},{"title":"Finite-Time Accuracy of Temporal-Difference Learning Under Schur-Stable Recursions","abstract":"Temporal difference (TD) learning is a cornerstone reinforcement learning (RL) method for policy evaluation, where the goal is to estimate the value function of a Markov decision process under a fixed policy. While a substantial body of work has established its convergence and stability properties, more recent efforts have focused on its statistical efficiency through finite-time error bounds. In this paper, we advan","authors":["Lee, Donghwan","Kim, Do Wan"],"url":"https://arxiv.org/abs/2204.10479","arxiv_id":"2204.10479","published":"2026-02-02"},{"title":"A Hierarchical Pedestrian Behavior Model to Generate Realistic Human Behavior in Traffic Simulation","abstract":"Modelling pedestrian behavior is crucial in the development and testing of autonomous vehicles. In this work, we present a hierarchical pedestrian behavior model that generates high-level decisions through the use of behavior trees, in order to produce maneuvers executed by a low-level motion planner using an adapted Social Force model. A full implementation of our work is integrated into GeoScenario Server, a scenar","authors":["Larter, Scott","Queiroz, Rodrigo","Sedwards, Sean","Sarkar, Atrisha","Czarnecki, Krzysztof"],"url":"https://arxiv.org/abs/2206.01601","arxiv_id":"2206.01601","published":"2026-02-02"},{"title":"Grounding Large Language Models in Interactive Environments with Online Reinforcement Learning","abstract":"Recent works successfully leveraged Large Language Models' (LLM) abilities to capture abstract knowledge about world's physics to solve decision-making problems. Yet, the alignment between LLMs' knowledge and the environment can be wrong and limit functional competence due to lack of grounding. In this paper, we study an approach (named GLAM) to achieve this alignment through functional grounding: we cons","authors":["Carta, Thomas","Romac, Clément","Wolf, Thomas","Lamprier, Sylvain","Sigaud, Olivier","Oudeyer, Pierre-Yves"],"url":"https://arxiv.org/abs/2302.02662","arxiv_id":"2302.02662","published":"2026-02-02"},{"title":"Revealed Multi-Objective Utility Aggregation in Human Driving","abstract":"A central design problem in game theoretic analysis is the estimation of the players' utilities. In many real-world interactive situations of human decision making, including human driving, the utilities are multi-objective in nature; therefore, estimating the parameters of aggregation, i.e., mapping of multi-objective utilities to a scalar value, becomes an essential part of game construction. However, estimatin","authors":["Sarkar, Atrisha","Larson, Kate","Czarnecki, Krzysztof"],"url":"https://arxiv.org/abs/2303.07435","arxiv_id":"2303.07435","published":"2026-02-02"},{"title":"A VAE Approach to Sample Multivariate Extremes","abstract":"Generating accurate extremes from an observational data set is crucial when seeking to estimate risks associated with the occurrence of future extremes which could be larger than those already observed. Applications range from the occurrence of natural disasters to financial crashes. Generative approaches from the machine learning community do not apply to extreme samples without careful adaptation. Besides, asymptot","authors":["Lafon, Nicolas","Naveau, Philippe","Fablet, Ronan"],"url":"https://arxiv.org/abs/2306.10987","arxiv_id":"2306.10987","published":"2026-02-02"},{"title":"On The Relationship Between Continual Learning and Long-Tailed Recognition","abstract":"Real-world datasets often exhibit long-tailed distributions, where a few dominant "Head" classes have abundant samples while most "Tail" classes are severely underrepresented, leading to biased learning and poor generalization for the Tail. We present a theoretical framework that reveals a previously undescribed connection between Long-Tailed Recognition (LTR) and Continual Learning (CL), the process ","authors":["Molahasani, Mahdiyar","Greenspan, Michael","Etemad, Ali"],"url":"https://arxiv.org/abs/2306.13275","arxiv_id":"2306.13275","published":"2026-02-02"},{"title":"Creating user stereotypes for persona development from qualitative data through semi-automatic subspace clustering","abstract":"Personas are models of users that incorporate motivations, wishes, and objectives; These models are employed in user-centred design to help design better user experiences and have recently been employed in adaptive systems to help tailor the personalized user experience. Designing with personas involves the production of descriptions of fictitious users, which are often based on data from real users. The majority of ","authors":["Korsgaard, Dannie","Bjorner, Thomas","Sorensen, Pernille Krog","Burelli, Paolo"],"url":"https://arxiv.org/abs/2306.14551","arxiv_id":"2306.14551","published":"2026-02-02"},{"title":"Quantifying the perceptual value of lexical and non-lexical channels in speech","abstract":"Speech is a fundamental means of communication that can be seen to provide two channels for transmitting information: the lexical channel of which words are said, and the non-lexical channel of how they are spoken. Both channels shape listener expectations of upcoming communication; however, directly quantifying their relative effect on expectations is challenging. Previous attempts require spoken variations of lexic","authors":["Wallbridge, Sarenne","Bell, Peter","Lai, Catherine"],"url":"https://arxiv.org/abs/2307.03534","arxiv_id":"2307.03534","published":"2026-02-02"},{"title":"Comparing How a Chatbot References User Utterances from Previous Chatting Sessions: An Investigation of Users' Privacy Concerns and Perceptions","abstract":"Chatbots are capable of remembering and referencing previous conversations, but does this enhance user engagement or infringe on privacy? To explore this trade-off, we investigated the format of how a chatbot references previous conversations with a user and its effects on a user's perceptions and privacy concerns. In a three-week longitudinal between-subjects study, 169 participants talked about their dental flo","authors":["Cox, Samuel Rhys","Lee, Yi-Chieh","Ooi, Wei Tsang"],"url":"https://arxiv.org/abs/2308.04879","arxiv_id":"2308.04879","published":"2026-02-02"},{"title":"Generative quantum machine learning via denoising diffusion probabilistic models","abstract":"Deep generative models are key-enabling technology to computer vision, text generation, and large language models. Denoising diffusion probabilistic models (DDPMs) have recently gained much attention due to their ability to generate diverse and high-quality samples in many computer vision tasks, as well as to incorporate flexible model architectures and a relatively simple training scheme. Quantum generative models, ","authors":["Zhang, Bingzhi","Xu, Peng","Chen, Xiaohui","Zhuang, Quntao"],"url":"https://arxiv.org/abs/2310.05866","arxiv_id":"2310.05866","published":"2026-02-02"},{"title":"Causal Bayesian Optimization via Exogenous Distribution Learning","abstract":"Maximizing a target variable as an operational objective within a structural causal model is a fundamental problem. Causal Bayesian Optimization (CBO) approaches typically achieve this either by performing interventions that modify the causal structure to increase the reward or by introducing action nodes to endogenous variables, thereby adjusting the data-generating mechanisms to meet the objective. In this paper, w","authors":["Ren, Shaogang","Wang, Zihao","Chen, Yuzhou","Qian, Xiaoning"],"url":"https://arxiv.org/abs/2402.02277","arxiv_id":"2402.02277","published":"2026-02-02"},{"title":"XAI-CF -- Examining the Role of Explainable Artificial Intelligence in Cyber Forensics","abstract":"With the rise of complex cyber devices Cyber Forensics (CF) is facing many new challenges. For example, there are dozens of systems running on smartphones, each with more than millions of downloadable applications. Sifting through this large amount of data and making sense requires new techniques, such as from the field of Artificial Intelligence (AI). To apply these techniques successfully in CF, we need to justify ","authors":["Alam, Shahid","Altiparmak, Zeynep"],"url":"https://arxiv.org/abs/2402.02452","arxiv_id":"2402.02452","published":"2026-02-02"},{"title":"TorchCP: A Python Library for Conformal Prediction","abstract":"Conformal prediction (CP) is a powerful statistical framework that generates prediction intervals or sets with guaranteed coverage probability. While CP algorithms have evolved beyond traditional classifiers and regressors to sophisticated deep learning models like deep neural networks (DNNs), graph neural networks (GNNs), and large language models (LLMs), existing CP libraries often lack the model support and scalab","authors":["Huang, Jianguo","Song, Jianqing","Zhou, Xuanning","Jing, Bingyi","Wei, Hongxin"],"url":"https://arxiv.org/abs/2402.12683","arxiv_id":"2402.12683","published":"2026-02-02"},{"title":"OMGEval: An Open Multilingual Generative Evaluation Benchmark for Large Language Models","abstract":"Modern large language models (LLMs) should generally benefit individuals from various cultural backgrounds around the world. However, most recent advanced generative evaluation benchmarks tailed for LLMs mainly focus on English. To this end, we introduce OMGEval, the first Open-source Multilingual Generative test set that can assess the capability of LLMs in different languages. For each language, OMGEval provides 80","authors":["Liu, Yang","Xu, Meng","Wang, Shuo","Yang, Liner","Wang, Haoyu","Liu, Zhenghao"],"url":"https://arxiv.org/abs/2402.13524","arxiv_id":"2402.13524","published":"2026-02-02"},{"title":"Hybrid$^2$ Neural ODE Causal Modeling and an Application to Glycemic Response","abstract":"Hybrid models composing mechanistic ODE-based dynamics with flexible and expressive neural network components have grown rapidly in popularity, especially in scientific domains where such ODE-based modeling offers important interpretability and validated causal grounding (e.g., for counterfactual reasoning). The incorporation of mechanistic models also provides inductive bias in standard blackbox modeling approaches,","authors":["Zou, Bob Junyi","Levine, Matthew E.","Zaharieva, Dessi P.","Johari, Ramesh","Fox, Emily B."],"url":"https://arxiv.org/abs/2402.17233","arxiv_id":"2402.17233","published":"2026-02-02"},{"title":"Can Distillation Mitigate Backdoor Attacks in Pre-trained Encoders?","abstract":"Self-Supervised Learning (SSL) has become a prominent paradigm for pre-training encoders to learning general-purpose representations from unlabeled data and releasing them on third-party platforms for broad downstream deep learning tasks. However, SSL is vulnerable to backdoor attacks, where an adversary may train and distribute poisoned pre-training encoders to contaminate the downstream models. In this paper, we st","authors":["Han, TIngxu","Song, Wei","Sun, Weisong","Ding, Ziqi","Feng, Yebo","Fang, Chunrong"],"url":"https://arxiv.org/abs/2403.03846","arxiv_id":"2403.03846","published":"2026-02-02"},{"title":"FlashFace: Human Image Personalization with High-fidelity Identity Preservation","abstract":"This work presents FlashFace, a practical tool with which users can easily personalize their own photos on the fly by providing one or a few reference face images and a text prompt. Our approach is distinguishable from existing human photo customization methods by higher-fidelity identity preservation and better instruction following, benefiting from two subtle designs. First, we encode the face identity into a serie","authors":["Zhang, Shilong","Huang, Lianghua","Chen, Xi","Zhang, Yifei","Wu, Zhi-Fan","Feng, Yutong"],"url":"https://arxiv.org/abs/2403.17008","arxiv_id":"2403.17008","published":"2026-02-02"},{"title":"Extending Mean-Field Variational Inference via Entropic Regularization: Theory and Computation","abstract":"Variational inference (VI) has emerged as a popular method for approximate inference for high-dimensional Bayesian models. In this paper, we propose a novel VI method that extends the naive mean field via entropic regularization, referred to as $Ξ$-variational inference ($Ξ$-VI). $Ξ$-VI has a close connection to the entropic optimal transport problem and benefits from the computationally efficient Sinkhorn algorithm.","authors":["Wu, Bohan","Blei, David"],"url":"https://arxiv.org/abs/2404.09113","arxiv_id":"2404.09113","published":"2026-02-02"},{"title":"Multivariate Bayesian Last Layer for Regression with Uncertainty Quantification and Decomposition","abstract":"We present new Bayesian Last Layer neural network models in the setting of multivariate regression under heteroscedastic noise, and propose EM algorithms for parameter learning. Bayesian modeling of a neural network's final layer has the attractive property of uncertainty quantification with a single forward pass. The proposed framework is capable of disentangling the aleatoric and epistemic uncertainty, and can ","authors":["Wang, Han","Kawasaki, Eiji","Damblin, Guillaume","Daniel, Geoffrey"],"url":"https://arxiv.org/abs/2405.01761","arxiv_id":"2405.01761","published":"2026-02-02"},{"title":"Smart Routing with Precise Link Estimation: DSEE-Based Anypath Routing for Reliable Wireless Networking","abstract":"In dynamic and resource-constrained environments, such as multi-hop wireless mesh networks, traditional routing protocols often falter by relying on predetermined paths that prove ineffective in unpredictable link conditions. Shortest Anypath routing offers a solution by adapting routing decisions based on real-time link conditions. However, the effectiveness of such routing is fundamentally dependent on the quality ","authors":["Nourzad, Narjes","Krishnamachari, Bhaskar"],"url":"https://arxiv.org/abs/2405.10377","arxiv_id":"2405.10377","published":"2026-02-02"},{"title":"Posterior Label Smoothing for Node Classification","abstract":"Label smoothing is a widely studied regularization technique in machine learning. However, its potential for node classification in graph-structured data, spanning homophilic to heterophilic graphs, remains largely unexplored. We introduce posterior label smoothing, a novel method for transductive node classification that derives soft labels from a posterior distribution conditioned on neighborhood labels. The likeli","authors":["Heo, Jaeseung","Park, Moonjeong","Kim, Dongwoo"],"url":"https://arxiv.org/abs/2406.00410","arxiv_id":"2406.00410","published":"2026-02-02"},{"title":"Graph Mining under Data scarcity","abstract":"Multitude of deep learning models have been proposed for node classification in graphs. However, they tend to perform poorly under labeled-data scarcity. Although Few-shot learning for graphs has been introduced to overcome this problem, the existing models are not easily adaptable for generic graph learning frameworks like Graph Neural Networks (GNNs). Our work proposes an Uncertainty Estimator framework that can be","authors":["Rakaraddi, Appan","Siew-Kei, Lam","Pratama, Mahardhika","de Carvalho, Marcus"],"url":"https://arxiv.org/abs/2406.04825","arxiv_id":"2406.04825","published":"2026-02-02"}],"history":{"events":[{"year":2012,"text":"The passenger ferry MV Rabaul Queen capsized and sank in rough conditions in the Solomon Sea, resulting in at least 88 deaths.","url":"https://en.wikipedia.org/wiki/MV_Rabaul_Queen"},{"year":2009,"text":"Omid, Iran's first domestically made satellite, was launched from Semnan Space Center.","url":"https://en.wikipedia.org/wiki/Omid"},{"year":2007,"text":"Following a Derby di Sicilia match in Catania, football violence caused the death of police officer Filippo Raciti, leading to new safety regulations at Italian sporting events.","url":"https://en.wikipedia.org/wiki/Derby_di_Sicilia"},{"year":2004,"text":"Swiss tennis player Roger Federer became the top-ranked men's singles player, a position he held for a record 237 consecutive weeks.","url":"https://en.wikipedia.org/wiki/Roger_Federer"},{"year":1974,"text":"The F-16 Fighting Falcon (pictured), the most numerous fixed-wing aircraft currently in military service, made its first flight.","url":"https://en.wikipedia.org/wiki/General_Dynamics_F-16_Fighting_Falcon"},{"year":1972,"text":"The Troubles: Protestors burned the British Embassy in Ireland following the massacre of 14 civilians in Derry by British forces.","url":"https://en.wikipedia.org/wiki/The_Troubles"},{"year":1963,"text":"Cold War in Asia: 113 alleged communists were arrested and detained without trial by Singapore's security agencies.","url":"https://en.wikipedia.org/wiki/Cold_War_in_Asia"},{"year":1942,"text":"The first act of the Norwegian resistance movement took place with the bombing of Oslo East Station by the Osvald Group to protest the inauguration of Vidkun Quisling.","url":"https://en.wikipedia.org/wiki/Norwegian_resistance_movement"},{"year":1934,"text":"The Export–Import Bank of the United States, the country's official export credit agency, was established.","url":"https://en.wikipedia.org/wiki/Export%E2%80%93Import_Bank_of_the_United_States"},{"year":1913,"text":"New York City's Grand Central Terminal, the world's largest train station by number of platforms, opened immediately after midnight.","url":"https://en.wikipedia.org/wiki/Grand_Central_Terminal"},{"year":1848,"text":"Mexican–American War: During the American occupation of Mexico City, diplomats signed the Treaty of Guadalupe Hidalgo, which ended the war and had Mexico cede 1.36 million square kilometres (530,000 sq mi) of territory and the United States pay US$15 million.","url":"https://en.wikipedia.org/wiki/Mexican%E2%80%93American_War"},{"year":1725,"text":"J. S. Bach led the first performance of his chorale cantata Mit Fried und Freud ich fahr dahin, BWV 125, based on Luther's paraphrase of the Nunc dimittis.","url":"https://en.wikipedia.org/wiki/Johann_Sebastian_Bach"},{"year":1709,"text":"Scottish sailor Alexander Selkirk was rescued by English captain Woodes Rogers and his crew after spending four years as a castaway on an uninhabited island in the Pacific, providing the inspiration for Daniel Defoe's novel Robinson Crusoe.","url":"https://en.wikipedia.org/wiki/Alexander_Selkirk"},{"year":1659,"text":"Jan van Riebeeck, the founder of Cape Town, produced the first bottle of South African wine.","url":"https://en.wikipedia.org/wiki/Jan_van_Riebeeck"},{"year":1594,"text":"Giovanni Pierluigi da Palestrina dies at the age of 68.","url":"https://en.wikipedia.org/wiki/Giovanni_Pierluigi_da_Palestrina"},{"year":1438,"text":"Nine leaders of the Transylvanian peasant revolt were executed in Torda.","url":"https://en.wikipedia.org/wiki/Transylvanian_peasant_revolt"},{"year":1207,"text":"Terra Mariana, comprising present-day Estonia and Latvia, was established as a principality of the Holy Roman Empire.","url":"https://en.wikipedia.org/wiki/Terra_Mariana"},{"year":1033,"text":"An assembly at the Abbey of Payerne crowned Conrad II (pictured) king of Burgundy.","url":"https://en.wikipedia.org/wiki/Payerne_Priory"}],"births":[{"year":2006,"text":"Lucas Bergvall, Swedish footballer","url":"https://en.wikipedia.org/wiki/Lucas_Bergvall"},{"year":2004,"text":"Eleonore Caburet, French rhythmic gymnast","url":"https://en.wikipedia.org/wiki/Eleonore_Caburet"},{"year":2001,"text":"Westcol, Colombian online streamer","url":"https://en.wikipedia.org/wiki/WestCOL"},{"year":2000,"text":"Munetaka Murakami, Japanese baseball player","url":"https://en.wikipedia.org/wiki/Munetaka_Murakami"},{"year":1999,"text":"Jeff Okudah, American football player","url":"https://en.wikipedia.org/wiki/Jeff_Okudah"},{"year":1998,"text":"Shiho Katō, Japanese singer and model","url":"https://en.wikipedia.org/wiki/Shiho_Kat%C5%8D"},{"year":1997,"text":"Ellie Bamber, English actress","url":"https://en.wikipedia.org/wiki/Ellie_Bamber"},{"year":1996,"text":"Christian Dvorak, American ice hockey player","url":"https://en.wikipedia.org/wiki/Christian_Dvorak"}],"deaths":[{"year":2025,"text":"Brian Murphy, English comic actor (born 1932)","url":"https://en.wikipedia.org/wiki/Brian_Murphy_(actor)"},{"year":2024,"text":"Don Murray, American actor (born 1929)","url":"https://en.wikipedia.org/wiki/Don_Murray_(actor)"},{"year":2024,"text":"Carl Weathers, American football player and actor (born 1948)","url":"https://en.wikipedia.org/wiki/Carl_Weathers"},{"year":2023,"text":"K. Viswanath, Indian actor, director and screenwriter (born 1930)","url":"https://en.wikipedia.org/wiki/K._Viswanath"},{"year":2023,"text":"Butch Miles, American jazz drummer (born 1944)","url":"https://en.wikipedia.org/wiki/Butch_Miles"},{"year":2021,"text":"Captain Sir Tom Moore, British Army officer and charity campaigner (born 1920)","url":"https://en.wikipedia.org/wiki/Captain_Tom_Moore"},{"year":2020,"text":"Bernard Ebbers, Canadian businessman, the co-founder and CEO of WorldCom (born 1941)","url":"https://en.wikipedia.org/wiki/Bernard_Ebbers"},{"year":2020,"text":"Mad Mike Hoare, British-Irish military officer and mercenary (born 1919)","url":"https://en.wikipedia.org/wiki/Mad_Mike_Hoare"}]},"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."}