Collective variables of neural networks: empirical time evolution and scaling laws by Samuel Tovey, Sven Krippendorf , Michael Spannowsky, Konstantin Nikolaou, Christian Holm

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Optimal spectroscopic measurement design: Bayesian framework for rational data acquisition by Yusei Ito, Yasuo Takeichi, Hideitsu Hino, Kanta Ono

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Neuromorphic, physics-informed spiking neural network for molecular dynamics by Vuong Van Pham, Temoor Muther, Amirmasoud Kalantari Dahaghi

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Parameter uncertainties for imperfect surrogate models in the low-noise regime by Thomas D Swinburne, Danny Perez

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Neural architecture codesign for fast physics applications by Jason Weitz, Dmitri Demler, Luke McDermott, Nhan Tran, Javier Duarte

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Federated learning with tensor networks: a quantum AI framework for healthcare by Amandeep Singh Bhatia, David E Bernal Neira

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Towards virtual painting recolouring using vision transformer on x-ray fluorescence datacubes by Alessandro Bombini, Fernando García-Avello Bofías, Francesca Giambi, Chiara Ruberto

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Accelerated development of multi-component alloys in discrete design space using Bayesian multi-objective optimisation by Osman Mamun, Markus Bause, Bhuiyan Shameem Mahmood Ebna Hai

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Beyond Euclid: an illustrated guide to modern machine learning with geometric, topological, and algebraic structures by Mathilde Papillon, Sophia Sanborn, Johan Mathe, Louisa Cornelis, Abby Bertics, Domas Buracas, Hansen J Lillemark, Christian Shewmake, Fatih Dinc, Xavier Pennec, Nina Miolane

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A reinforcement learning approach to the design of quantum chains for optimal energy and state transfer by S Sgroi, G Zicari, A Imparato, M Paternostro

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Path-minimizing latent ODEs for improved extrapolation and inference by Matt L Sampson, Peter Melchior

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Rapid parameter estimation for merging massive black hole binaries using continuous normalizing flows by Bo Liang, Minghui Du, He Wang, Yuxiang Xu, Chang Liu, Xiaotong Wei, Peng Xu, Li-e Qiang, Ziren Luo

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Uncertainty quantification from ensemble variance scaling laws in deep neural networks by Ibrahim Elsharkawy, Benjamin Hooberman, Yonatan Kahn

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Calculated solvation and ionization energies for thousands of organic molecules relevant to battery design by Jan Weinreich, Konstantin Karandashev, Daniel Jose Arismendi Arrieta, Kersti Hermansson, O Anatole von Lilienfeld

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Machine learning for detection of equivariant finite symmetry groups in dynamical systems by Pablo Calvo-Barlés, Sergio G Rodrigo, Luis Martín-Moreno

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Searching for ribbons with machine learning by Sergei Gukov, James Halverson, Ciprian Manolescu, Fabian Ruehle

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Lightweight ECG signal classification via linear law-based feature extraction by Péter Pósfay, Marcell T Kurbucz, Péter Kovács, Antal Jakovác

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Deep unsupervised clustering for prostate auto-segmentation with and without hydrogel spacer by Hengrui Zhao, Biling Wang, Michael Dohopolski, Ti Bai, Steve Jiang, Dan Nguyen

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Density estimation via binless multidimensional integration by Matteo Carli, Alex Rodriguez, Alessandro Laio, Aldo Glielmo

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Deep(er) reconstruction of imaging Cherenkov detectors with swin transformers and normalizing flow models by C Fanelli, J Giroux, J Stevens

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