Towards a phenomenological understanding of neural networks: data av Samuel Tovey, Sven Krippendorf, Konstantin Nikolaou, Christian Holm

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Deep learning neural network for approaching Schrödinger problems with arbitrary two-dimensional confinement av A Radu, C A Duque

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Discovering quantum circuit components with program synthesis av Leopoldo Sarra, Kevin Ellis, Florian Marquardt

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ICEGAN: inverse covariance estimating generative adversarial network av Insoo Kim, Minhyeok Lee, Junhee Seok

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MeGen - generation of gallium metal clusters using reinforcement learning av Rohit Modee, Ashwini Verma, Kavita Joshi, U Deva Priyakumar

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Distance preserving machine learning for uncertainty aware accelerator capacitance predictions av Steven Goldenberg, Malachi Schram, Kishansingh Rajput, Thomas Britton, Chris Pappas, Dan Lu, Jared Walden, Majdi I Radaideh, Sarah Cousineau, Sudarshan Harave

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Polynomial differentiation decreases the training time complexity of physics-informed neural networks and strengthens their approximation power av Juan-Esteban Suarez Cardona, Michael Hecht

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High-dimensional multi-fidelity Bayesian optimization for quantum control av Marjuka F Lazin, Christian R Shelton, Simon N Sandhofer, Bryan M Wong

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Multipoint-BAX: a new approach for efficiently tuning particle accelerator emittance via virtual objectives av Sara Ayoub Miskovich, Willie Neiswanger, William Colocho, Claudio Emma, Jacqueline Garrahan, Timothy Maxwell, Christopher Mayes, Stefano Ermon, Auralee Edelen, Daniel Ratner

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Deep Bayesian experimental design for quantum many-body systems av Leopoldo Sarra, Florian Marquardt

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Graph machine learning framework for depicting wavefunction on interface av Ao Wu, Li Liu, Zifeng Wang, Shurong Pan, Jiangxue Huang, Qijun Huang, Jin He, Hao Wang, Sheng Chang

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Spectrally adapted physics-informed neural networks for solving unbounded domain problems av Mingtao Xia, Lucas Böttcher, Tom Chou

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Transformer-powered surrogates close the ICF simulation-experiment gap with extremely limited data av Matthew L Olson, Shusen Liu, Jayaraman J Thiagarajan, Bogdan Kustowski, Weng-Keen Wong, Rushil Anirudh

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CSS-Net: a collaborative framework for synthesis and segmentation of missing contrast-enhanced image with error-prediction consistency av Xiaoyu Huang, Feixiang Zhang, Yong Huang, Kai Xu

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SICGNN: structurally informed convolutional graph neural networks for protein classification av YongHyun Lee, Eunchan Kim, Jiwoong Choi, Changhyun Lee

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Variational quantum one-class classifier av Gunhee Park, Joonsuk Huh, Daniel K Park

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How deep convolutional neural networks lose spatial information with training av Umberto M Tomasini, Leonardo Petrini, Francesco Cagnetta, Matthieu Wyart

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Closed-loop control of a noisy qubit with reinforcement learning av Yongcheng Ding, Xi Chen, Rafael Magdalena-Benedito, José D Martín-Guerrero

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Automated real-space lattice extraction for atomic force microscopy images av Marco Corrias, Lorenzo Papa, Igor Sokolović, Viktor Birschitzky, Alexander Gorfer, Martin Setvin, Michael Schmid, Ulrike Diebold, Michele Reticcioli, Cesare Franchini

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The information of attribute uncertainties: what convolutional neural networks can learn about errors in input data av Natália V N Rodrigues, L Raul Abramo, Nina S T Hirata

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