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correspondence","abstract":"Learning to align multiple datasets is an important problem with many applications, and it is especially useful when we need to integrate multiple experiments or correct for confounding. Optimal transport (OT) is a principled approach to align datasets, but a key challenge in applying OT is that we need to specify a transport cost function that accurately captures how the two datasets are related. Reliable cost funct","authors":["Liu, Ruishan","Balsubramani, Akshay","Zou, James"],"url":"https://arxiv.org/abs/1909.13203","arxiv_id":"1909.13203","published":"2026-06-18"},{"title":"Investigation of Neural Network Methods for Reconstruction and Classification of Texture Images Under Conditions of Incomplete Information","abstract":"The automated analysis of heterogeneous natural textures is frequently hindered by physical damage and data loss, presenting a significant challenge to computer vision. While deep learning has shown success in controlled environments, its application to complex geological materials under conditions of incomplete information remains underexplored. This study presents an integrated framework for the inpainting and clas","authors":["Abdimanap, Galymzhan","Bostanbekov, Kairat","Abdallah, Abdelrahman","Alimova, Anel","Kurmangaliyev, Darkhan","Nurseitov, Daniyar"],"url":"https://arxiv.org/abs/2204.14224","arxiv_id":"2204.14224","published":"2026-06-18"},{"title":"Going Beyond the Cookie Theft Picture Test: Detecting Cognitive Impairments using Acoustic Features","abstract":"Standardized tests play a crucial role in the detection of cognitive impairment. Previous work demonstrated that automatic detection of cognitive impairment is possible using audio data from a standardized picture description task. The presented study goes beyond that, evaluating our methods on data taken from two standardized neuropsychological tests, namely the German SKT and a German version of the CERAD-NB, and a","authors":["Braun, Franziska","Erzigkeit, Andreas","Lehfeld, Hartmut","Hillemacher, Thomas","Riedhammer, Korbinian","Bayerl, Sebastian P."],"url":"https://arxiv.org/abs/2206.05018","arxiv_id":"2206.05018","published":"2026-06-18"},{"title":"RNN(p) for Power Consumption Forecasting","abstract":"An elementary Recurrent Neural Network that operates on p time lags, called an RNN(p), is the natural generalisation of a linear autoregressive model ARX(p). It is a powerful forecasting tool for variables displaying inherent seasonal patterns across multiple time scales, as is often observed in energy, economic, and financial time series. The architecture of RNN(p) models, characterised by structured feedbacks acros","authors":["Baviera, Roberto","Manzoni, Pietro"],"url":"https://arxiv.org/abs/2209.01378","arxiv_id":"2209.01378","published":"2026-06-18"},{"title":"FingerFlex: Inferring Finger Trajectories from ECoG signals","abstract":"Motor brain-computer interface (BCI) development relies critically on neural time series decoding algorithms. Recent advances in deep learning architectures allow for automatic feature selection to approximate higher-order dependencies in data. This article presents the FingerFlex model - a convolutional encoder-decoder architecture adapted for finger movement regression on electrocorticographic (ECoG) brain data. St","authors":["Lomtev, Vladislav","Kovalev, Alexander","Timchenko, Alexey"],"url":"https://arxiv.org/abs/2211.01960","arxiv_id":"2211.01960","published":"2026-06-18"},{"title":"Simple Domain Generalization Methods are Strong Baselines for Open Domain Generalization","abstract":"In real-world applications, a machine learning model is required to handle an open-set recognition (OSR), where unknown classes appear during the inference, in addition to a domain shift, where the data distribution differs between the training and inference phases. Domain generalization (DG) aims to handle the domain shift situation where the target domain of the inference phase is inaccessible during the model trai","authors":["Noguchi, Masashi","Shirakawa, Shinichi"],"url":"https://arxiv.org/abs/2303.18031","arxiv_id":"2303.18031","published":"2026-06-18"},{"title":"A DeepLearning Framework for Dynamic Estimation of Origin-Destination Sequence","abstract":"OD matrix estimation is a critical problem in the transportation domain. The principle method uses the traffic sensor measured information such as traffic counts to estimate the traffic demand represented by the OD matrix. The problem is divided into two categories: static OD matrix estimation and dynamic OD matrices sequence(OD sequence for short) estimation. The above two face the underdetermination problem caused ","authors":["Xiong, Zheli","Lian, Defu","Chen, Enhong","Chen, Gang","Cheng, Xiaomin"],"url":"https://arxiv.org/abs/2307.05623","arxiv_id":"2307.05623","published":"2026-06-18"},{"title":"Large-Scale OD Matrix Estimation with A Deep Learning Method","abstract":"The estimation of origin-destination (OD) matrices is a crucial aspect of Intelligent Transport Systems (ITS). It involves adjusting an initial OD matrix by regressing the current observations like traffic counts of road sections (e.g., using least squares). However, the OD estimation problem lacks sufficient constraints and is mathematically underdetermined. To alleviate this problem, some researchers incorporate a ","authors":["Xiong, Zheli","Lian, Defu","Chen, Enhong","Chen, Gang","Cheng, Xiaomin"],"url":"https://arxiv.org/abs/2310.05753","arxiv_id":"2310.05753","published":"2026-06-18"},{"title":"Recursive Joint Simulation in Games","abstract":"Game-theoretic dynamics between AI agents could differ from traditional human-human interactions in various ways. One such difference is that it may be possible to accurately simulate an AI agent, for example because its source code is known. Such an agent would then be fundamentally uncertain whether it is in the real world or in a simulation. Our aim is to explore ways of leveraging this possibility to achieve more","authors":["Kovarik, Vojtech","Oesterheld, Caspar","Conitzer, Vincent"],"url":"https://arxiv.org/abs/2402.08128","arxiv_id":"2402.08128","published":"2026-06-18"},{"title":"Benchmarking Physics-Informed Time-Series Models for Operational Global Station Weather Forecasting","abstract":"The development of Time-Series Forecasting (TSF) models is often constrained by the lack of comprehensive datasets, especially in Global Station Weather Forecasting (GSWF), where existing datasets are small, temporally short, and spatially sparse. To address this, we introduce WEATHER-5K, a large-scale observational weather dataset that better reflects real-world conditions, supporting improved model training and eva","authors":["Han, Tao","Wen, Zhibin","Chen, Zhenghao","Du, Dazhao","Guo, Song","Bai, Lei"],"url":"https://arxiv.org/abs/2406.14399","arxiv_id":"2406.14399","published":"2026-06-18"},{"title":"R&B -- Rhythm and Brain: Cross-subject Decoding of Music from Human Brain Activity","abstract":"Music is a universal phenomenon that profoundly influences human experiences across cultures. This study investigates whether music can be decoded from human brain activity measured with functional MRI (fMRI) during its perception. Leveraging recent advancements in extensive datasets and pre-trained computational models, we construct mappings between neural data and latent representations of musical stimuli. Our appr","authors":["Ferrante, Matteo","Ciferri, Matteo","Toschi, Nicola"],"url":"https://arxiv.org/abs/2406.15537","arxiv_id":"2406.15537","published":"2026-06-18"},{"title":"Continual Test-Time Adaptation for Object Detection with Adaptive Monitoring and Randomized Restoration","abstract":"Real-world application models are commonly deployed in dynamic environments, where the target domain distribution undergoes temporal changes. Continual Test-Time Adaptation (CTTA) has recently emerged as a promising technique to gradually adapt a source-trained model to continually changing target domains. Despite recent advancements in addressing CTTA, two critical issues remain: 1) Fixed thresholds for pseudo-label","authors":["Cao, Shilei","Zheng, Juepeng","Liu, Yan","Zhao, Baoquan","Yuan, Ziqi","Li, Weijia"],"url":"https://arxiv.org/abs/2406.16439","arxiv_id":"2406.16439","published":"2026-06-18"},{"title":"Optimizing Incomplete, Large-Scale and Sparse Multi-Graph Matching in Bioimaging","abstract":"Multi-graph matching is a fundamental problem in computer vision. Our work is motivated by a challenging application in bioimaging, where dozens or even hundreds of 3D microscopy images of worms must be brought into correspondence. Existing datasets do not cover this large-scale regime, and virtually all existing methods are inapplicable because they assume a complete or dense problem setting. To support further rese","authors":["Kahl, Max","Stricker, Sebastian","Hutschenreiter, Lisa","Bernard, Florian","Rother, Carsten","Savchynskyy, Bogdan"],"url":"https://arxiv.org/abs/2406.18215","arxiv_id":"2406.18215","published":"2026-06-18"},{"title":"Fully tensorial approach to hypercomplex-valued neural networks","abstract":"A fully tensorial theoretical framework for hypercomplex-valued neural networks is presented. The proposed approach enables neural network architectures to operate on data defined over arbitrary finite-dimensional algebras. The central observation is that algebra multiplication can be represented by a rank-three tensor, which allows all algebraic operations in neural network layers to be formulated in terms of standa","authors":["Niemczynowicz, Agnieszka","Kycia, Radosław Antoni"],"url":"https://arxiv.org/abs/2407.00449","arxiv_id":"2407.00449","published":"2026-06-18"},{"title":"VGGHeads: 3D Multi Head Alignment with a Large-Scale Synthetic Dataset","abstract":"Human head detection, keypoint estimation, and 3D head model fitting are essential tasks with many applications. However, traditional real-world datasets often suffer from bias, privacy, and ethical concerns, and they have been recorded in laboratory environments, which makes it difficult for trained models to generalize. Here, we introduce \\method -- a large-scale synthetic dataset generated with diffusion models fo","authors":["Kupyn, Orest","Khvedchenia, Eugene","Rupprecht, Christian"],"url":"https://arxiv.org/abs/2407.18245","arxiv_id":"2407.18245","published":"2026-06-18"},{"title":"Recognizing and Reconstructing a Multi-Unit Floor Plan","abstract":"Digital twins have a major potential to form a significant part of urban management in emergency planning, as they allow more efficient designing of the escape routes, better orientation in exceptional situations, and faster rescue intervention. Nevertheless, creating the twins still remains a largely manual effort, due to a lack of 3D-representations, which are available only in limited amounts for some new building","authors":["Kratochvila, Lukas","de Jong, Gijs","Arkesteijn, Monique","Bilik, Simon","Zemcik, Tomas","Horak, Karel"],"url":"https://arxiv.org/abs/2408.01526","arxiv_id":"2408.01526","published":"2026-06-18"},{"title":"Media Framing through the Lens of Event-Centric Narratives","abstract":"From a communications perspective, a frame defines the packaging of the language used in such a way as to encourage certain interpretations and to discourage others. For example, a news article can frame immigration as either a boost or a drain on the economy, and thus communicate very different interpretations of the same phenomenon. In this work, we argue that to explain framing devices we have to look at the way n","authors":["Das, Rohan","Chandra, Aditya","Lee, I-Ta","Pacheco, Maria Leonor"],"url":"https://arxiv.org/abs/2410.03151","arxiv_id":"2410.03151","published":"2026-06-18"},{"title":"A Comprehensive Survey of Direct Preference Optimization: Datasets, Theories, Variants, and Applications","abstract":"With the rapid advancement of large language models (LLMs), aligning policy models with human preferences has become increasingly critical. Direct Preference Optimization (DPO) has emerged as a promising approach for alignment, acting as an RL-free alternative to Reinforcement Learning from Human Feedback (RLHF). Despite DPO's various advancements and inherent limitations, an in-depth review of these aspects is c","authors":["Xiao, Wenyi","Wang, Zechuan","Gan, Leilei","Zhao, Shuai","Li, Zongrui","Lei, Ruirui"],"url":"https://arxiv.org/abs/2410.15595","arxiv_id":"2410.15595","published":"2026-06-18"},{"title":"Provable quantum speedups for computing persistence in topological data analysis","abstract":"Topological data analysis (TDA) aims to extract noise-robust features from a data set by examining the number and persistence of holes in its topology. We provide an efficient quantum algorithm for a computational problem closely related to a core task in TDA -- determining whether a given hole persists across different length scales. Further, we prove the problem itself is $\\mathsf{BQP}_1$-hard, implying that a clas","authors":["Gyurik, Casper","Schmidhuber, Alexander","King, Robbie","Dunjko, Vedran","Hayakawa, Ryu"],"url":"https://arxiv.org/abs/2410.21258","arxiv_id":"2410.21258","published":"2026-06-18"},{"title":"Development and Comparative Analysis of Machine Learning Models for Hypoxemia Severity Triage in CBRNE Emergency Scenarios Using Physiological and Demographic Data from Medical-Grade Devices","abstract":"This paper presents the development of machine learning (ML) models to predict hypoxemia severity during emergency triage, especially in Chemical, Biological, Radiological, Nuclear, and Explosive (CBRNE) events, using physiological data from medical-grade sensors. Gradient Boosting Models (XGBoost, LightGBM, CatBoost) and sequential models (LSTM, GRU) were trained on physiological and demographic data from the MIMIC-","authors":["Nanini, Santino","Abid, Mariem","Mamouni, Yassir","Wiedemann, Arnaud","Jouvet, Philippe","Bourassa, Stephane"],"url":"https://arxiv.org/abs/2410.23503","arxiv_id":"2410.23503","published":"2026-06-18"},{"title":"Scalable Batch Bayesian Optimization Via Subspace Acquisition Functions","abstract":"Extending Bayesian optimization to batch evaluation can enable the designer to make the most use of parallel computing technology. However, most of current batch approaches do not scale well with the batch size. That is, their optimization efficiencies often deteriorate as the batch size increases. To address this issue, we propose a simple and efficient approach to extend Bayesian optimization to large-scale batch e","authors":["Zhan, Dawei","Zeng, Zhaoxi","Wei, Shuoxiao","Wu, Ping"],"url":"https://arxiv.org/abs/2411.16206","arxiv_id":"2411.16206","published":"2026-06-18"},{"title":"Online Episodic Memory Visual Query Localization with Egocentric Streaming Object Memory","abstract":"Episodic memory retrieval enables wearable cameras to recall objects or events previously observed in video. However, existing formulations assume an "offline" setting with full video access at query time, limiting their applicability in real-world scenarios with power and storage-constrained wearable devices. Towards more application-ready episodic memory systems, we introduce Online Visual Query 2D (OVQ2D),","authors":["Manigrasso, Zaira","Dunnhofer, Matteo","Furnari, Antonino","Nottebaum, Moritz","Finocchiaro, Antonio","Marana, Davide"],"url":"https://arxiv.org/abs/2411.16934","arxiv_id":"2411.16934","published":"2026-06-18"},{"title":"MORTAR: Multi-turn Metamorphic Testing for LLM-based Dialogue Systems","abstract":"With the widespread application of LLM-based dialogue systems in daily life, quality assurance has become more important than ever. Recent research has successfully introduced methods to identify unexpected behaviour in single-turn testing scenarios. However, multi-turn interaction is the common real-world usage of dialogue systems, yet testing methods for such interactions remain underexplored. This is largely due t","authors":["Guo, Aaron Guoxiang","Aleti, Aldeida","Neelofar, Neelofar","Tantithamthavorn, Chakkrit","Qi, Yuanyuan","Chen, Tsong Yueh"],"url":"https://arxiv.org/abs/2412.15557","arxiv_id":"2412.15557","published":"2026-06-18"},{"title":"The Road to Artificial SuperIntelligence: A Comprehensive Survey of Superalignment","abstract":"The emergence of large language models (LLMs) has sparked discussion on Artificial Superintelligence (ASI), a hypothetical AI system that surpasses human intelligence. Although ASI remains hypothetical and far beyond current AI capabilities, discussing its potential and exploring its feasibility and potential risks is critical for the development of future AI systems. The idea of superalignment originates from scalab","authors":["Kim, HyunJin","Ryu, DongHyun","Yi, Xiaoyuan","Yao, Jing","Lian, Jianxun","Huang, Muhua"],"url":"https://arxiv.org/abs/2412.16468","arxiv_id":"2412.16468","published":"2026-06-18"},{"title":"ScholaWrite: A Dataset of End-to-End Scholarly Writing Process","abstract":"Writing is a cognitively demanding activity that requires constant decision-making, heavy reliance on working memory, and frequent shifts between tasks of different goals. To build writing assistants that truly align with writers' cognition, we must capture and decode the complete thought process behind how writers transform ideas into final texts. We present ScholaWrite, the first dataset of end-to-end scholarly","authors":["Le, Khanh Chi","Wang, Linghe","Lee, Minhwa","Volkov, Ross","Chau, Luan Tuyen","Kang, Dongyeop"],"url":"https://arxiv.org/abs/2502.02904","arxiv_id":"2502.02904","published":"2026-06-18"}],"history":{"events":[{"year":2023,"text":"The Titan submersible imploded during a dive to the RMS Titanic wreck, killing all five people aboard.","url":"https://en.wikipedia.org/wiki/Titan_(submersible)"},{"year":2012,"text":"Salman bin Abdulaziz Al Saud was appointed the crown prince of Saudi Arabia.","url":"https://en.wikipedia.org/wiki/Salman_of_Saudi_Arabia"},{"year":2012,"text":"Salman bin Abdulaziz Al Saud was appointed the crown prince of Saudi Arabia.","url":"https://en.wikipedia.org/wiki/Salman_of_Saudi_Arabia"},{"year":1994,"text":"The Troubles: Ulster Volunteer Force members attacked a crowded bar in Loughinisland, Northern Ireland, with assault rifles, killing six people.","url":"https://en.wikipedia.org/wiki/The_Troubles"},{"year":1983,"text":"Iranian teenager Mona Mahmudnizhad and nine other women were hanged in Shiraz because of their membership in the Baháʼí Faith.","url":"https://en.wikipedia.org/wiki/Mona_Mahmudnizhad"},{"year":1983,"text":"Aboard Space Shuttle Challenger, astronaut Sally Ride became the first American woman and third one overall in space.","url":"https://en.wikipedia.org/wiki/Space_Shuttle_Challenger"},{"year":1981,"text":"The Lockheed F-117 Nighthawk, the first operational aircraft to be designed around stealth technology, made its maiden flight.","url":"https://en.wikipedia.org/wiki/Lockheed_F-117_Nighthawk"},{"year":1972,"text":"British European Airways Flight 548 crashed near Staines-upon-Thames less than three minutes after departing from Heathrow Airport in London, killing all 118 people aboard in the worst air accident in the UK.","url":"https://en.wikipedia.org/wiki/British_European_Airways_Flight_548"},{"year":1967,"text":"American musician Jimi Hendrix burned his guitar on stage at the end of a performance at the Monterey International Pop Festival in California.","url":"https://en.wikipedia.org/wiki/Jimi_Hendrix"},{"year":1958,"text":"English composer Benjamin Britten's one-act opera Noye's Fludde was premiered at the Aldeburgh Festival.","url":"https://en.wikipedia.org/wiki/Benjamin_Britten"},{"year":1954,"text":"Carlos Castillo Armas led a CIA-sponsored invasion force across the Guatemalan border, beginning the 1954 Guatemalan coup d'état.","url":"https://en.wikipedia.org/wiki/Carlos_Castillo_Armas"},{"year":1953,"text":"A Douglas C-124 Globemaster II aircraft crashed just after takeoff from Tachikawa, Japan, killing all 129 people on board.","url":"https://en.wikipedia.org/wiki/Douglas_C-124_Globemaster_II"},{"year":1953,"text":"A Douglas C-124 Globemaster II aircraft crashed just after takeoff from Tachikawa, Japan, killing all 129 people on board.","url":"https://en.wikipedia.org/wiki/Douglas_C-124_Globemaster_II"},{"year":1940,"text":"World War II: Charles de Gaulle gave his Appeal of 18 June speech, often considered to be the origin of the French Resistance.","url":"https://en.wikipedia.org/wiki/World_War_II"},{"year":1940,"text":"World War II: Charles de Gaulle gave his Appeal of 18 June speech, often considered to be the origin of the French Resistance.","url":"https://en.wikipedia.org/wiki/World_War_II"},{"year":1898,"text":"The Cadaver Tomb of René of Chalon (pictured) in Bar-le-Duc, France, was designated a monument historique.","url":"https://en.wikipedia.org/wiki/Cadaver_Tomb_of_Ren%C3%A9_of_Chalon"},{"year":1858,"text":"Charles Darwin received a manuscript by fellow naturalist Alfred Russel Wallace on natural selection, which encouraged him to publish his own theory of evolution.","url":"https://en.wikipedia.org/wiki/Charles_Darwin"},{"year":1858,"text":"Charles Darwin received a manuscript by fellow naturalist Alfred Russel Wallace on natural selection, which encouraged him to publish his own theory of evolution.","url":"https://en.wikipedia.org/wiki/Charles_Darwin"}],"births":[{"year":2005,"text":"Kane Parsons, American YouTuber and filmmaker","url":"https://en.wikipedia.org/wiki/Kane_Parsons"},{"year":2004,"text":"Gabi Moura, Brazilian influencer","url":"https://en.wikipedia.org/wiki/Gabi_Moura"},{"year":2001,"text":"Evan Mobley, American basketball player","url":"https://en.wikipedia.org/wiki/Evan_Mobley"},{"year":1999,"text":"Choi Ye-won, South Korean singer and actress","url":"https://en.wikipedia.org/wiki/Arin_(singer)"},{"year":1999,"text":"Trippie Redd, American rapper","url":"https://en.wikipedia.org/wiki/Trippie_Redd"},{"year":1997,"text":"Katharina Hobgarski, German tennis player","url":"https://en.wikipedia.org/wiki/Katharina_Hobgarski"},{"year":1997,"text":"Latrell Mitchell, Australian rugby league player","url":"https://en.wikipedia.org/wiki/Latrell_Mitchell"},{"year":1996,"text":"Alen Halilović, Croatian footballer","url":"https://en.wikipedia.org/wiki/Alen_Halilovi%C4%87"}],"deaths":[{"year":2026,"text":"Tay Keith, American record producer (born 1996)","url":"https://en.wikipedia.org/wiki/Tay_Keith"},{"year":2024,"text":"James Chance, American musician (born 1953)","url":"https://en.wikipedia.org/wiki/James_Chance"},{"year":2024,"text":"Anouk Aimée, French actress (born 1932)","url":"https://en.wikipedia.org/wiki/Anouk_Aim%C3%A9e"},{"year":2024,"text":"Yoyong Martirez, Filipino basketball player (born 1946)","url":"https://en.wikipedia.org/wiki/Yoyong_Martirez"},{"year":2024,"text":"Willie Mays, American baseball player (born 1931)","url":"https://en.wikipedia.org/wiki/Willie_Mays"},{"year":2023,"text":"Notable victims of the Titan submersible implosion:","url":"https://en.wikipedia.org/wiki/Shahzada_Dawood"},{"year":2023,"text":"Notable victims of the Titan submersible implosion:","url":"https://en.wikipedia.org/wiki/Hamish_Harding"},{"year":2023,"text":"Notable victims of the Titan submersible implosion:","url":"https://en.wikipedia.org/wiki/Paul-Henri_Nargeolet"}]},"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."}