Mach. Learn. Sci. Technol.

Keyphrases

Publications

volume 5, number 1, 2024

Jizhen Cai, Clotilde Boust, Alamin Mansouri
ATSFCNN: a novel attention-based triple-stream fused CNN model for hyperspectral image classification. Mach. Learn. Sci. Technol. 5 (1) (2024)
Cooper Lorsung, Zijie Li, Amir Barati Farimani
Physics informed token transformer for solving partial differential equations. Mach. Learn. Sci. Technol. 5 (1) (2024)
John L. A. Gardner, Kathryn T. Baker, Volker L. Deringer
Synthetic pre-training for neural-network interatomic potentials. Mach. Learn. Sci. Technol. 5 (1) (2024)
Viki Kumar Prasad, Alberto Otero-de-la-Roza, Gino Dilabio
Bridging the gap between high-level quantum chemical methods and deep learning models. Mach. Learn. Sci. Technol. 5 (1) (2024)
Patrick Egenlauf, Patric Rommel, Jörg Main
Gaussian-process-regression-based method for the localization of exceptional points in complex resonance spectra. Mach. Learn. Sci. Technol. 5 (1) (2024)
Tareq Jaouni, Sören Arlt, Carlos Ruiz-Gonzalez, Ebrahim Karimi, Xuemei Gu, Mario Krenn
Deep quantum graph dreaming: deciphering neural network insights into quantum experiments. Mach. Learn. Sci. Technol. 5 (1) (2024)
Alex Gabel, Rick Quax, Efstratios Gavves
Data-driven Lie point symmetry detection for continuous dynamical systems. Mach. Learn. Sci. Technol. 5 (1) (2024)
Enes Ozelbas, Emine Elif Tülay, Serhat Ozekes
Improving cross-subject classification performance of motor imagery signals: a data augmentation-focused deep learning framework. Mach. Learn. Sci. Technol. 5 (1) (2024)
Taesam Lee, Chang-Hee Won, Vijay P. Singh
ML-based regionalization of climate variables to forecast seasonal precipitation for water resources management. Mach. Learn. Sci. Technol. 5 (1) (2024)
Chad Bustard, John F. Wu
Deep learning cosmic ray transport from density maps of simulated, turbulent gas. Mach. Learn. Sci. Technol. 5 (1) (2024)
Kishan Govind, Daniela Oliveros, Antonin Dlouhy, Marc Legros, Stefan Sandfeld
Deep learning of crystalline defects from TEM images: a solution for the problem of 'never enough training data'. Mach. Learn. Sci. Technol. 5 (1) (2024)
Tom Kirstein, Simon Aßmann, Orkun Furat, Stefan Will, Volker Schmidt
Determination of droplet size from wide-angle light scattering image data using convolutional neural networks. Mach. Learn. Sci. Technol. 5 (1) (2024)
Marco Eckhoff, Markus Reiher
CoRe optimizer: an all-in-one solution for machine learning. Mach. Learn. Sci. Technol. 5 (1) (2024)
Sara A. Miskovich, Willie Neiswanger, William Colocho, Claudio Emma, Jacqueline Garrahan, Timothy Maxwell, Christopher Mayes, Stefano Ermon, Auralee Edelen, Daniel Ratner
Multipoint-BAX: a new approach for efficiently tuning particle accelerator emittance via virtual objectives. Mach. Learn. Sci. Technol. 5 (1) (2024)
Mehmet Demirtas, James Halverson, Anindita Maiti, Matthew D. Schwartz, Keegan Stoner
Neural network field theories: non-Gaussianity, actions, and locality. Mach. Learn. Sci. Technol. 5 (1) (2024)
Jan-Lucas Uslu, Taoufiq Ouaj, David Tebbe, Alexey Nekrasov, Jo Henri Bertram, Marc Schütte, Kenji Watanabe, Takashi Taniguchi, Bernd Beschoten, Lutz Waldecker, Christoph Stampfer
An open-source robust machine learning platform for real-time detection and classification of 2D material flakes. Mach. Learn. Sci. Technol. 5 (1) (2024)
Arsenii Senokosov, Alexander Sedykh, Asel Sagingalieva, Basil Kyriacou, Alexey Melnikov
Quantum machine learning for image classification. Mach. Learn. Sci. Technol. 5 (1) (2024)
Niall Jeffrey, Benjamin D. Wandelt
Evidence Networks: simple losses for fast, amortized, neural Bayesian model comparison. Mach. Learn. Sci. Technol. 5 (1) (2024)
Jessica Barr, Giorgio Zicari, Alessandro Ferraro, Mauro Paternostro
Spectral density classification for environment spectroscopy. Mach. Learn. Sci. Technol. 5 (1) (2024)
Kishansingh Rajput, Malachi Schram, Willem Blokland, Yasir Alanazi, Pradeep Ramuhalli, Alexander Zhukov, Charles Peters, Ricardo Vilalta
Robust errant beam prognostics with conditional modeling for particle accelerators. Mach. Learn. Sci. Technol. 5 (1) (2024)
Jia Li, Jiangwei Li, Chenxu Wang, Fons J. Verbeek, Tanja Schultz, Hui Liu
MS2OD: outlier detection using minimum spanning tree and medoid selection. Mach. Learn. Sci. Technol. 5 (1) (2024)
A L. Milder, Archis S. Joglekar, Wojciech Rozmus, Dustin H. Froula
Qualitative and quantitative enhancement of parameter estimation for model-based diagnostics using automatic differentiation with an application to inertial fusion. Mach. Learn. Sci. Technol. 5 (1) (2024)
Osvaldo Gramaxo Freitas, Juan Calderón Bustillo, José A. Font, Solange Nunes, António Onofre, Alejandro Torres-Forné
Comparison of neural network architectures for feature extraction from binary black hole merger waveforms. Mach. Learn. Sci. Technol. 5 (1) (2024)

volume 5, number 2, 2024

volume 5, number 3, 2024