{"date":"2026-03-24","schema_version":1,"captured_at":"2026-08-25T23:34:41.602Z","complete":true,"sources_captured":["attention","frontier","research","history"],"counts":{"attention":30,"frontier":25,"research":25,"history":16},"attention":[{"title":"Dhurandhar: The Revenge","views":668319,"rank":3,"extract":"Dhurandhar: The Revenge is a 2026 Indian Hindi-language spy action-thriller film written and directed by Aditya Dhar. It is produced by Dhar, Lokesh Dhar, and Jyoti Deshpande under Jio Studios and B62 Studios. It is a sequel to the 2025 film Dhurandhar and the","url":"https://en.wikipedia.org/wiki/Dhurandhar%3A_The_Revenge","thumb":"https://upload.wikimedia.org/wikipedia/en/c/c8/Dhurandhar-_The_Revenge_poster.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail_unscaled"},{"title":"Leonid Radvinsky","views":539148,"rank":4,"extract":"Leonid Saveliyovych Radvinsky was an American billionaire businessman and the majority owner of OnlyFans. 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synthesis","points":285,"comments":104,"url":"https://antithesis.com/blog/2026/hegel/","discussion":"https://news.ycombinator.com/item?id=47504094"},{"title":"The bridge to wealth is being pulled up with AI","points":269,"comments":408,"url":"https://danielhomola.com/m%20&%20e/ai/your-bridge-to-wealth-is-being-pulled-up/","discussion":"https://news.ycombinator.com/item?id=47503296"}],"research":[{"title":"Relative Error Embeddings for the Gaussian Kernel Distance","abstract":"A reproducing kernel can define an embedding of a data point into an infinite dimensional reproducing kernel Hilbert space (RKHS). The norm in this space describes a distance, which we call the kernel distance. The random Fourier features (of Rahimi and Recht) describe an oblivious approximate mapping into finite dimensional Euclidean space that behaves similar to the RKHS. We show in this paper that for the Gaussian","authors":["Chen, Di","Phillips, Jeff M."],"url":"https://arxiv.org/abs/1602.05350","arxiv_id":"1602.05350","published":"2026-03-24"},{"title":"Persistent Homology as Stopping-Criterion for Voronoi Interpolation","abstract":"In this study the Voronoi interpolation is used to interpolate a set of points drawn from a topological space with higher homology groups on its filtration. The technique is based on Voronoi tessellation, which induces a natural dual map to the Delaunay triangulation. Advantage is taken from this fact calculating the persistent homology on it after each iteration to capture the changing topology of the data. The boun","authors":["Melodia, Luciano","Lenz, Richard"],"url":"https://arxiv.org/abs/1911.02922","arxiv_id":"1911.02922","published":"2026-03-24"},{"title":"Estimate of the Neural Network Dimension using Algebraic Topology and Lie Theory","abstract":"In this paper we present an approach to determine the smallest possible number of neurons in a layer of a neural network in such a way that the topology of the input space can be learned sufficiently well. We introduce a general procedure based on persistent homology to investigate topological invariants of the manifold on which we suspect the data set. We specify the required dimensions precisely, assuming that ther","authors":["Melodia, Luciano","Lenz, Richard"],"url":"https://arxiv.org/abs/2004.02881","arxiv_id":"2004.02881","published":"2026-03-24"},{"title":"Homological Time Series Analysis of Sensor Signals from Power Plants","abstract":"In this paper, we use topological data analysis techniques to construct a suitable neural network classifier for the task of learning sensor signals of entire power plants according to their reference designation system. We use representations of persistence diagrams to derive necessary preprocessing steps and visualize the large amounts of data. We derive deep architectures with one-dimensional convolutional layers ","authors":["Melodia, Luciano","Lenz, Richard"],"url":"https://arxiv.org/abs/2106.02493","arxiv_id":"2106.02493","published":"2026-03-24"},{"title":"Towards Noise-adaptive, Problem-adaptive (Accelerated) Stochastic Gradient Descent","abstract":"We aim to make stochastic gradient descent (SGD) adaptive to (i) the noise $σ^2$ in the stochastic gradients and (ii) problem-dependent constants. When minimizing smooth, strongly-convex functions with condition number $κ$, we prove that $T$ iterations of SGD with exponentially decreasing step-sizes and knowledge of the smoothness can achieve an $\\tilde{O} \\left(\\exp \\left( \\frac{-T}κ \\right) + \\frac{σ^2}{T} \\right)$","authors":["Vaswani, Sharan","Dubois-Taine, Benjamin","Babanezhad, Reza"],"url":"https://arxiv.org/abs/2110.11442","arxiv_id":"2110.11442","published":"2026-03-24"},{"title":"A Novel TSK Fuzzy System Incorporating Multi-view Collaborative Transfer Learning for Personalized Epileptic EEG Detection","abstract":"In clinical practice, electroencephalography (EEG) plays an important role in the diagnosis of epilepsy. EEG-based computer-aided diagnosis of epilepsy can greatly improve the ac-curacy of epilepsy detection while reducing the workload of physicians. However, there are many challenges in practical applications for personalized epileptic EEG detection (i.e., training of detection model for a specific person), includin","authors":["Li, Andong","Deng, Zhaohong","Lou, Qiongdan"],"url":"https://arxiv.org/abs/2111.08457","arxiv_id":"2111.08457","published":"2026-03-24"},{"title":"No-Regret Bayesian Recommendation to Homogeneous Users","abstract":"We introduce and study the online Bayesian recommendation problem for a recommender system platform. The platform has the privilege to privately observe a utility-relevant \\emph{state} of a product at each round and uses this information to make online recommendations to a stream of myopic users. This paradigm is common in a wide range of scenarios in the current Internet economy. The platform commits to an online re","authors":["Feng, Yiding","Tang, Wei","Xu, Haifeng"],"url":"https://arxiv.org/abs/2202.06135","arxiv_id":"2202.06135","published":"2026-03-24"},{"title":"Noise-contrastive Online Change Point Detection","abstract":"We suggest a novel procedure for online change point detection. Our approach expands an idea of maximizing a discrepancy measure between points from pre-change and post-change distributions. This leads to flexible algorithms suitable for both parametric and nonparametric scenarios. We prove non-asymptotic bounds on the average running length of the procedure and its expected detection delay. The efficiency of the alg","authors":["Puchkin, Nikita","Goldman, Artur","Yakovlev, Konstantin","Dzis, Valeriia","Vinogradova, Uliana"],"url":"https://arxiv.org/abs/2206.10143","arxiv_id":"2206.10143","published":"2026-03-24"},{"title":"Multi-Step First: A Lightweight Deep Reinforcement Learning Strategy for Robust Continuous Control with Partial Observability","abstract":"Deep Reinforcement Learning (DRL) has made considerable advances in simulated and physical robot control tasks, especially when problems admit a fully observed Markov Decision Process (MDP) formulation. When observations only partially capture the underlying state, the problem becomes a Partially Observable MDP (POMDP), and performance rankings between algorithms can change. We empirically compare Proximal Policy Opt","authors":["Meng, Lingheng","Gorbet, Rob","Burke, Michael","Kulić, Dana"],"url":"https://arxiv.org/abs/2209.04999","arxiv_id":"2209.04999","published":"2026-03-24"},{"title":"Policy Optimization over General State and Action Spaces","abstract":"Reinforcement learning (RL) problems over general state and action spaces are notoriously challenging. In contrast to the tableau setting, one can not enumerate all the states and then iteratively update the policies for each state. This prevents the application of many well-studied RL methods especially those with provable convergence guarantees. In this paper, we first present a substantial generalization of the re","authors":["Ju, Caleb","Lan, Guanghui"],"url":"https://arxiv.org/abs/2211.16715","arxiv_id":"2211.16715","published":"2026-03-24"},{"title":"Hybrid Quantum Generative Adversarial Networks for Molecular Simulation and Drug Discovery","abstract":"In molecular research, the modelling and analysis of molecules through simulation is an important part that has a direct influence on medical development, material science and drug discovery. The processing power required to design protein chains with hundreds of peptides is huge. Classical computing techniques, including state-of-the-art machine learning models being deployed on classical computing machines, have pr","authors":["Jain, Prateek","Pathak, Param","Bhatia, Krishna","Devendrababu, Shalini","Ganguly, Srinjoy"],"url":"https://arxiv.org/abs/2212.07826","arxiv_id":"2212.07826","published":"2026-03-24"},{"title":"Better Generative Replay for Continual Federated Learning","abstract":"Federated learning is a technique that enables a centralized server to learn from distributed clients via communications without accessing the client local data. However, existing federated learning works mainly focus on a single task scenario with static data. In this paper, we introduce the problem of continual federated learning, where clients incrementally learn new tasks and history data cannot be stored due to ","authors":["Qi, Daiqing","Zhao, Handong","Li, Sheng"],"url":"https://arxiv.org/abs/2302.13001","arxiv_id":"2302.13001","published":"2026-03-24"},{"title":"Geometric Imbalance in Semi-Supervised Node Classification","abstract":"Class imbalance in graph data presents a significant challenge for effective node classification, particularly in semi-supervised scenarios. In this work, we formally introduce the concept of geometric imbalance, which captures how message passing on class-imbalanced graphs leads to geometric ambiguity among minority-class nodes in the riemannian manifold embedding space. We provide a rigorous theoretical analysis of","authors":["Yan, Liang","Zhang, Shengzhong","Li, Bisheng","Yang, Menglin","Yang, Chen","Zhou, Min"],"url":"https://arxiv.org/abs/2303.10371","arxiv_id":"2303.10371","published":"2026-03-24"},{"title":"Sheaf4Rec: Sheaf Neural Networks for Graph-based Recommender Systems","abstract":"Recent advancements in Graph Neural Networks (GNN) have facilitated their widespread adoption in various applications, including recommendation systems. GNNs have proven to be effective in addressing the challenges posed by recommendation systems by efficiently modeling graphs in which nodes represent users or items and edges denote preference relationships. However, current GNN techniques represent nodes by means of","authors":["Purificato, Antonio","Cassarà, Giulia","Siciliano, Federico","Liò, Pietro","Silvestri, Fabrizio"],"url":"https://arxiv.org/abs/2304.09097","arxiv_id":"2304.09097","published":"2026-03-24"},{"title":"On Consistency of Signature Using Lasso","abstract":"Signatures are iterated path integrals of continuous and discrete-time processes, and their universal nonlinearity linearizes the problem of feature selection in time series data analysis. This paper studies the consistency of signature using Lasso regression, both theoretically and numerically. We establish conditions under which the Lasso regression is consistent both asymptotically and in finite sample. Furthermor","authors":["Guo, Xin","Wang, Binnan","Zhang, Ruixun","Zhao, Chaoyi"],"url":"https://arxiv.org/abs/2305.10413","arxiv_id":"2305.10413","published":"2026-03-24"},{"title":"Phenotype-preserving metric design for high-content image reconstruction by generative inpainting","abstract":"In the past decades, automated high-content microscopy demonstrated its ability to deliver large quantities of image-based data powering the versatility of phenotypic drug screening and systems biology applications. However, as the sizes of image-based datasets grew, it became infeasible for humans to control, avoid and overcome the presence of imaging and sample preparation artefacts in the images. While novel techn","authors":["Sharma, Vaibhav","Yakimovich, Artur"],"url":"https://arxiv.org/abs/2307.14436","arxiv_id":"2307.14436","published":"2026-03-24"},{"title":"Exploring ChatGPT's Empathic Abilities","abstract":"Empathy is often understood as the ability to share and understand another individual's state of mind or emotion. With the increasing use of chatbots in various domains, e.g., children seeking help with homework, individuals looking for medical advice, and people using the chatbot as a daily source of everyday companionship, the importance of empathy in human-computer interaction has become more apparent. Therefo","authors":["Schaaff, Kristina","Reinig, Caroline","Schlippe, Tim"],"url":"https://arxiv.org/abs/2308.03527","arxiv_id":"2308.03527","published":"2026-03-24"},{"title":"The surrogate Gibbs-posterior of a corrected stochastic MALA: Towards uncertainty quantification for neural networks","abstract":"MALA is a popular gradient-based Markov chain Monte Carlo method to access the Gibbs-posterior distribution. Stochastic MALA (sMALA) scales to large data sets, but changes the target distribution from the Gibbs-posterior to a surrogate posterior which only exploits a reduced sample size. We introduce a corrected stochastic MALA (csMALA) with a simple correction term for which distance between the resulting surrogate ","authors":["Bieringer, Sebastian","Kasieczka, Gregor","Steffen, Maximilian F.","Trabs, Mathias"],"url":"https://arxiv.org/abs/2310.09335","arxiv_id":"2310.09335","published":"2026-03-24"},{"title":"Conditional Variational Diffusion Models","abstract":"Inverse problems aim to determine parameters from observations, a crucial task in engineering and science. Lately, generative models, especially diffusion models, have gained popularity in this area for their ability to produce realistic solutions and their good mathematical properties. Despite their success, an important drawback of diffusion models is their sensitivity to the choice of variance schedule, which cont","authors":["della Maggiora, Gabriel","Croquevielle, Luis Alberto","Deshpande, Nikita","Horsley, Harry","Heinis, Thomas","Yakimovich, Artur"],"url":"https://arxiv.org/abs/2312.02246","arxiv_id":"2312.02246","published":"2026-03-24"},{"title":"Polarimetric Light Transport Analysis for Specular Inter-reflection","abstract":"Polarization is well known for its ability to decompose diffuse and specular reflections. However, the existing decomposition methods only focus on direct reflection and overlook multiple reflections, especially specular inter-reflection. In this paper, we propose a novel decomposition method for handling specular inter-reflection of metal objects by using a unique polarimetric feature: the rotation direction of line","authors":["Maeda, Ryota","Hiura, Shinsaku"],"url":"https://arxiv.org/abs/2312.04140","arxiv_id":"2312.04140","published":"2026-03-24"},{"title":"MatSegNet: a New Boundary-aware Deep Learning Model for Accurate Carbide Precipitate Analysis in High-Strength Steels","abstract":"Lower Bainite (LB) and Tempered Martensite (TM) are two common microstructures in modern high-strength steels. LB and TM can render similar mechanical properties for steels, yet LB is often considered superior to TM in resistance to hydrogen embrittlement. Such performance difference has conventionally been attributed to their distinction in certain microstructural features, particularly carbides. The present study d","authors":["Bie, Xiaohan","Arthanari, Manoj","de Melo, Evelin Barbosa","Ren, Baihua","Li, Juancheng","Brodusch, Nicolas"],"url":"https://arxiv.org/abs/2312.17251","arxiv_id":"2312.17251","published":"2026-03-24"},{"title":"WiFi-GEN: High-Resolution Indoor Imaging from WiFi Signals Using Generative AI","abstract":"Indoor imaging is a critical task for robotics and internet-ofthings. WiFi as an omnipresent signal is a promising candidate for carrying out passive imaging and synchronizing the up-to-date information to all connected devices. This is the first research work to consider WiFi indoor imaging as a multi-modal image generation task that converts the measured WiFi power into a high-resolution indoor image. Our proposedW","authors":["Shi, Jianyang","Zhang, Bowen","Dubey, Amartansh","Murch, Ross","Jing, Liwen"],"url":"https://arxiv.org/abs/2401.04317","arxiv_id":"2401.04317","published":"2026-03-24"},{"title":"High Confidence Level Inference is Almost Free using Parallel Stochastic Optimization","abstract":"Uncertainty quantification for estimation through stochastic optimization solutions in an online setting has gained popularity recently. This paper introduces a novel inference method focused on constructing confidence intervals with efficient computation and fast convergence to the nominal level. Specifically, we propose to use a small number of independent multi-runs to acquire distribution information and construc","authors":["Zhu, Wanrong","Lou, Zhipeng","Wei, Ziyang","Wu, Wei Biao"],"url":"https://arxiv.org/abs/2401.09346","arxiv_id":"2401.09346","published":"2026-03-24"},{"title":"Understanding Neural Network Systems for Image Analysis using Vector Spaces and Inverse Maps","abstract":"There is strong interest in developing mathematical methods that can be used to understand complex neural networks used in image analysis. In this paper, we introduce techniques from Linear Algebra to model neural network layers as maps between signal spaces. First, we demonstrate how signal spaces can be used to visualize weight spaces and convolutional layer kernels. We also demonstrate how residual vector spaces c","authors":["Pattichis, Rebecca","Pattichis, Marios S."],"url":"https://arxiv.org/abs/2402.00261","arxiv_id":"2402.00261","published":"2026-03-24"},{"title":"Phrase Grounding-based Style Transfer for Single-Domain Generalized Object Detection","abstract":"Single-domain generalized object detection aims to enhance a model's generalizability to multiple unseen target domains using only data from a single source domain during training. This is a practical yet challenging task as it requires the model to address domain shift without incorporating target domain data into training. In this paper, we propose a novel phrase grounding-based style transfer (PGST) approach f","authors":["Li, Hao","Wang, Wei","Wang, Cong","Luo, Zhigang","Liu, Xinwang","Li, Kenli"],"url":"https://arxiv.org/abs/2402.01304","arxiv_id":"2402.01304","published":"2026-03-24"}],"history":{"events":[{"year":2015,"text":"The co-pilot of Germanwings Flight 9525 deliberately crashed the aircraft, an Airbus A320, in a mass murder–suicide in the French Alps, killing all 150 people on board.","url":"https://en.wikipedia.org/wiki/Germanwings_Flight_9525"},{"year":2008,"text":"Led by Jigme Thinley, the Bhutan Peace and Prosperity Party won 45 of 47 seats in the country's first National Assembly election.","url":"https://en.wikipedia.org/wiki/Jigme_Thinley"},{"year":2006,"text":"Hannah Montana, starring Miley Cyrus as an actress whose alter ego is the titular character, premiered.","url":"https://en.wikipedia.org/wiki/Hannah_Montana"},{"year":2002,"text":"At the 74th Academy Awards, Halle Berry became the first African American to win Best Actress, winning for her role as Leticia Musgrove in Monster's Ball.","url":"https://en.wikipedia.org/wiki/74th_Academy_Awards"},{"year":1980,"text":"One day after making a plea to Salvadoran soldiers to stop carrying out the government's repression, Archbishop Óscar Romero was assassinated while celebrating Mass in San Salvador.","url":"https://en.wikipedia.org/wiki/Revolutionary_Government_Junta_of_El_Salvador"},{"year":1964,"text":"Royal assent was given to Prince Edward Island's Provincial Flag Act, which outlined the design of its provincial flag.","url":"https://en.wikipedia.org/wiki/Royal_assent"},{"year":1939,"text":"Members of the German National Movement in Liechtenstein attempted to overthrow the government and provoke Liechtenstein's annexation into Nazi Germany.","url":"https://en.wikipedia.org/wiki/German_National_Movement_in_Liechtenstein"},{"year":1934,"text":"The Tydings–McDuffie Act came into effect, which provided for self-government of the Philippines and for Filipino independence from the United States after a period of ten years.","url":"https://en.wikipedia.org/wiki/Tydings%E2%80%93McDuffie_Act"},{"year":1922,"text":"Irish War of Independence: In Belfast, two men wearing police uniforms broke into a house and murdered a Catholic family in what was believed to be a reprisal for the deaths of two policemen the day before.","url":"https://en.wikipedia.org/wiki/Irish_War_of_Independence"},{"year":1921,"text":"The inaugural Women's Olympiad (cover pictured), the first international women's sports event, opened at the International Sporting Club of Monaco in Monte Carlo.","url":"https://en.wikipedia.org/wiki/1921_Women's_Olympiad"},{"year":1900,"text":"Robert Anderson Van Wyck, mayor of New York City, broke ground for a new underground Rapid Transit Railroad that would link Manhattan and Brooklyn.","url":"https://en.wikipedia.org/wiki/Robert_Anderson_Van_Wyck"},{"year":1898,"text":"The Winton Motor Carriage Company (ad pictured), one of the first American car companies, sold its first unit.","url":"https://en.wikipedia.org/wiki/Winton_Motor_Carriage_Company"},{"year":1882,"text":"German physician Robert Koch announced the discovery of Mycobacterium tuberculosis, the pathogen that causes tuberculosis.","url":"https://en.wikipedia.org/wiki/Robert_Koch"},{"year":1860,"text":"Japanese chief minister Ii Naosuke was assassinated by rōnin samurai upset with his role in opening Japan to foreign powers.","url":"https://en.wikipedia.org/wiki/Ii_Naosuke"},{"year":1603,"text":"James VI of Scotland succeeded to the thrones of England and Ireland as James I, uniting the realms under a single monarch.","url":"https://en.wikipedia.org/wiki/James_VI_and_I"},{"year":1387,"text":"Hundred Years' War: An English fleet led by Richard Fitzalan attacked 250 to 360 French, Flemish and Castilian vessels in the Battle of Margate.","url":"https://en.wikipedia.org/wiki/Hundred_Years'_War"}],"births":[{"year":2004,"text":"Gonzalo García, Spanish footballer","url":"https://en.wikipedia.org/wiki/Gonzalo_Garc%C3%ADa_(footballer%2C_born_2004)"},{"year":2001,"text":"Clara Burel, French tennis player","url":"https://en.wikipedia.org/wiki/Clara_Burel"},{"year":1999,"text":"Katie Swan, English tennis player","url":"https://en.wikipedia.org/wiki/Katie_Swan"},{"year":1998,"text":"Christopher Briney, American actor","url":"https://en.wikipedia.org/wiki/Christopher_Briney"},{"year":1998,"text":"Ethel Cain, American singer-songwriter, record producer, and model","url":"https://en.wikipedia.org/wiki/Ethel_Cain"},{"year":1998,"text":"Damar Hamlin, American football player","url":"https://en.wikipedia.org/wiki/Damar_Hamlin"},{"year":1997,"text":"Mina, Japanese singer and dancer","url":"https://en.wikipedia.org/wiki/Mina_(Japanese_singer)"},{"year":1996,"text":"Myles Turner, American basketball player","url":"https://en.wikipedia.org/wiki/Myles_Turner"}],"deaths":[{"year":2026,"text":"Biruté Galdikas, Canadian primatologist and conservationist (born 1946)","url":"https://en.wikipedia.org/wiki/Birut%C3%A9_Galdikas"},{"year":2026,"text":"Tracy Kidder, American writer (born 1945)","url":"https://en.wikipedia.org/wiki/Tracy_Kidder"},{"year":2026,"text":"Mel Schilling, Australian TV personality and coach (born 1972)","url":"https://en.wikipedia.org/wiki/Mel_Schilling"},{"year":2025,"text":"Dick Carlson, American journalist and diplomat (born 1941)","url":"https://en.wikipedia.org/wiki/Dick_Carlson"},{"year":2024,"text":"Lou Whittaker, American mountaineer, mountain guide, and businessman (born 1929)","url":"https://en.wikipedia.org/wiki/Lou_Whittaker"},{"year":2023,"text":"Gordon Moore, American businessman, engineer and co-founder of Intel Corporation (born 1929)","url":"https://en.wikipedia.org/wiki/Gordon_Moore"},{"year":2023,"text":"Pradeep Sarkar, Indian writer and director (born 1955)","url":"https://en.wikipedia.org/wiki/Pradeep_Sarkar"},{"year":2022,"text":"Dagny Carlsson, Swedish blogger and influencer (born 1912)","url":"https://en.wikipedia.org/wiki/Dagny_Carlsson"}]},"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."}