CAD system for epileptic seizure detection from EEG through image processing and SURF-BOF technique by Mohammad H Alshayeji

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An exponentially-growing family of universal quantum circuits by Mo Kordzanganeh, Pavel Sekatski, Leonid Fedichkin, Alexey Melnikov

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Efficient determination of the Hamiltonian and electronic properties using graph neural network with complete local coordinates by Mao Su, Ji-Hui Yang, Hong-Jun Xiang, Xin-Gao Gong

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Deep learning representations for quantum many-body systems on heterogeneous hardware by Xiao Liang, Mingfan Li, Qian Xiao, Junshi Chen, Chao Yang, Hong An, Lixin He

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Quantum machine learning of large datasets using randomized measurements by Tobias Haug, Chris N Self, M S Kim

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Multivariate prediction intervals for bagged models by Brendan Folie, Maxwell Hutchinson

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Data-driven Lie point symmetry detection for continuous dynamical systems by Alex Gabel, Rick Quax, Efstratios Gavves

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Learning curves for the multi-class teacher–student perceptron by Elisabetta Cornacchia, Francesca Mignacco, Rodrigo Veiga, Cédric Gerbelot, Bruno Loureiro, Lenka Zdeborová

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Infinite neural network quantum states: entanglement and training dynamics by Di Luo, James Halverson

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Dark solitons in Bose–Einstein condensates: a dataset for many-body physics research by Amilson R Fritsch, Shangjie Guo, Sophia M Koh, I B Spielman, Justyna P Zwolak

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Towards a phenomenological understanding of neural networks: data by 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 by A Radu, C A Duque

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

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

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

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High-dimensional multi-fidelity Bayesian optimization for quantum control by 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 by 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 by Leopoldo Sarra, Florian Marquardt

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Graph machine learning framework for depicting wavefunction on interface by 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 by Mingtao Xia, Lucas Böttcher, Tom Chou

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