Sequential learning on a tensor network Born machine with trainable token embedding by Wanda Hou, Miao Li, Yi-Zhuang You

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Laryngeal cancer diagnosis based on improved YOLOv8 algorithm by Xin Nie, Xueyan Zhang, Di Wang, Yuankun Liu, Lumin Xing, Wenjian Liu

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LLM4Mat-bench: benchmarking large language models for materials property prediction by Andre Niyongabo Rubungo, Kangming Li, Jason Hattrick-Simpers, Adji Bousso Dieng

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Discriminative versus generative approaches to simulation-based inference by Benjamin Sluijter, Sascha Diefenbacher, Wahid Bhimji, Benjamin Nachman

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Stereological 3D modeling of nano-scale catalyst particles using TEM projections by Lukas Fuchs, Kerstin Wein, Jens Friedland, Orkun Furat, Robert Güttel, Volker Schmidt

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Optical flow estimation based on global cross information and dynamic encoder–dynamic decoder by Haoxin Guo, Yifan Wang, Xiaobo Guo

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BiCrossNet: resource-efficient cross-view geolocalization with binary neural networks by Federico Fontana, Thomas Jantos, Jan Steinbrener, Luigi Cinque, Gian Luca Foresti, Bernhard Rinner

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Photonic indistinguishability characterization and optimization for cavity-based single-photon source by Miao Cai, Mingyuan Chen, Jiangshan Tang, Keyu Xia

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Comparing AI versus optimization workflows for simulation-based inference of spatial-stochastic systems by Michael Alexander Ramirez Sierra, Thomas R Sokolowski

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On learning higher-order cumulants in diffusion models by Gert Aarts, Diaa E Habibi, Lingxiao Wang, Kai Zhou

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Fast Bayesian inference for neutrino non-standard interactions at dark matter direct detection experiments by Dorian W P Amaral, Shixiao Liang, Juehang Qin, Christopher Tunnell

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Retentive neural quantum states: efficient ansätze for ab initio quantum chemistry by Oliver Knitter, Dan Zhao, James Stokes, Martin Ganahl, Stefan Leichenauer, Shravan Veerapaneni

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Spatiotemporal forecasting of the edge localized modes in tokamak plasmas using neural networks by Anirban Samaddar, Qian Gong, Sandeep Madireddy, Christopher Hansen, Semin Joung, David R Smith, Yixuan Sun, Fatima Ebrahimi, Prasanna Balapraksh, Andrew Oakleigh Nelson

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BenchMake: turn any scientific data set into a reproducible benchmark by A S Barnard

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Asymptotically stable data-driven koopman operator approximation with inputs using total extended DMD by Louis Lortie, James Richard Forbes

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Scalable and accurate simulation of electrolyte solutions with quantum chemical accuracy by Junji Zhang, Joshua Pagotto, Tim Gould, Timothy T Duignan

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Optimising entanglement distribution policies under classical communication constraints assisted by reinforcement learning by Jan Li, Tim Coopmans, Patrick Emonts, Kenneth Goodenough, Jordi Tura, Evert van Nieuwenburg

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Multi-target property prediction and optimization using latent spaces of generative model by Anirudh Jain, Markus Heinonen, Heikki Käsnänen, Julius Sipilä, Samuel Kaski

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Flow annealed importance sampling bootstrap meets differentiable particle physics by Annalena Kofler, Vincent Stimper, Mikhail Mikhasenko, Michael Kagan, Lukas Heinrich

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Efficient autoencoder pipeline for discovering high entropy alloys with molecular dynamics data by Amirhossein D Naghdi, Grzegorz Kaszuba, Stefanos Papanikolaou, Andrzej Jaszkiewicz, Piotr Sankowski

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