Interpretable delta-learning of GW quasiparticle energies from GGA-DFT by Artem Fediai, Patrick Reiser, Jorge Enrique Olivares Peña, Wolfgang Wenzel, Pascal Friederich

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Semi-equivariant conditional normalizing flows, with applications to target-aware molecule generation by Eyal Rozenberg, Daniel Freedman

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New angles on fast calorimeter shower simulation by Sascha Diefenbacher, Engin Eren, Frank Gaede, Gregor Kasieczka, Anatolii Korol, Katja Krüger, Peter McKeown, Lennart Rustige

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Tackling multimodal device distributions in inverse photonic design using invertible neural networks by Michel Frising, Jorge Bravo-Abad, Ferry Prins

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Comparison of neural network architectures for feature extraction from binary black hole merger waveforms by Osvaldo Gramaxo Freitas, Juan Calderón Bustillo, José A Font, Solange Nunes, Antonio Onofre, Alejandro Torres-Forné

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Shape sensing of optical fiber Bragg gratings based on deep learning by Samaneh Manavi Roodsari, Antal Huck-Horvath, Sara Freund, Azhar Zam, Georg Rauter, Wolfgang Schade, Philippe C Cattin

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Reply to Comment on ‘Physics-based representations for machine learning properties of chemical reactions’ by Puck van Gerwen, Matthew D Wodrich, Ruben Laplaza, Clemence Corminboeuf

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Hierarchical Bayesian pharmacometrics analysis of Baclofen for alcohol use disorder by Nina Baldy, Nicolas Simon, Viktor K Jirsa, Meysam Hashemi

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Physics-informed neural networks for solving forward and inverse Vlasov–Poisson equation via fully kinetic simulation by Baiyi Zhang, Guobiao Cai, Huiyan Weng, Weizong Wang, Lihui Liu, Bijiao He

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Variance extrapolation method for neural-network variational Monte Carlo by Weizhong Fu, Weiluo Ren, Ji Chen

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Deep energy-pressure regression for a thermodynamically consistent EOS model by Dayou Yu, Deep Shankar Pandey, Joshua Hinz, Deyan Mihaylov, Valentin V Karasiev, S X Hu, Qi Yu

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Universal adversarial perturbations for multiple classification tasks with quantum classifiers by Yun-Zhong Qiu

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Anomaly detection in aeronautics data with quantum-compatible discrete deep generative model by Thomas Templin, Milad Memarzadeh, Walter Vinci, P Aaron Lott, Ata Akbari Asanjan, Anthony Alexiades Armenakas, Eleanor Rieffel

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Encrypted machine learning of molecular quantum properties by Jan Weinreich, Guido Falk von Rudorff, O Anatole von Lilienfeld

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Novel heuristic-based hybrid ResNeXt with recurrent neural network to handle multi class classification of sentiment analysis by Lakshmi Revathi Krosuri, Rama Satish Aravapalli

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Deep kernel methods learn better: from cards to process optimization by Mani Valleti, Rama K Vasudevan, Maxim A Ziatdinov, Sergei V Kalinin

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Scalable neural quantum states architecture for quantum chemistry by Tianchen Zhao, James Stokes, Shravan Veerapaneni

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About the generalizability of deep learning based image quality assessment in mammography by Josua Faller, Narbota Amanova, Ruben van Engen, Jörg Martin, Clemens Elster

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Graph convolutional multi-mesh autoencoder for steady transonic aircraft aerodynamics by David Massegur, Andrea Da Ronch

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Artificial neural networks exploiting point cloud data for fragmented solid objects classification by A Baiocchi, S Giagu, C Napoli, M Serra, P Nardelli, M Valleriani

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