Mach. Learn. Sci. Technol.

Keyphrases

Publications

volume 4, number 1, 2023

Brendan Folie, Maxwell Hutchinson
Multivariate prediction intervals for bagged models. Mach. Learn. Sci. Technol. 4 (1) (2023)
Alexandre Boulle, A Debelle
Convolutional neural network analysis of x-ray diffraction data: strain profile retrieval in ion beam modified materials. Mach. Learn. Sci. Technol. 4 (1) (2023)
Nihang Fu, Lai Wei, Yuqi Song, Qinyang Li, Rui Xin, Sadman Sadeed Omee, Rongzhi Dong, Edirisuriya M. Dilanga Siriwardane, Jianjun Hu
Material transformers: deep learning language models for generative materials design. Mach. Learn. Sci. Technol. 4 (1) (2023)
Shoummo Ahsan Khandoker, Jawaril Munshad Abedin, Mohamed Hibat-Allah
Supplementing recurrent neural networks with annealing to solve combinatorial optimization problems. Mach. Learn. Sci. Technol. 4 (1) (2023)
Chang Min Hyun, Tae Jun Jang, Jeongchan Nam, Hyeuknam Kwon, Kiwan Jeon, Kyounghun Lee
Machine learning-based signal quality assessment for cardiac volume monitoring in electrical impedance tomography. Mach. Learn. Sci. Technol. 4 (1) (2023)
Petr Mánek, Graham Van Goffrier, Vignesh Gopakumar, Nikolaos Nikolaou, Jonathan Shimwell, Ingo P. Waldmann
Fast regression of the tritium breeding ratio in fusion reactors. Mach. Learn. Sci. Technol. 4 (1) (2023)
Artan Sheshmani, Yi-Zhuang You, Wenbo Fu, Ahmadreza Azizi
Categorical representation learning and RG flow operators for algorithmic classifiers. Mach. Learn. Sci. Technol. 4 (1) (2023)
Joshua A. Rackers, Lucas Tecot, Mario Geiger, Tess E. Smidt
A recipe for cracking the quantum scaling limit with machine learned electron densities. Mach. Learn. Sci. Technol. 4 (1) (2023)
Simone Ciarella, Jeanne Trinquier, Martin Weigt, Francesco Zamponi
Machine-learning-assisted Monte Carlo fails at sampling computationally hard problems. Mach. Learn. Sci. Technol. 4 (1) (2023)
Truong Son Hy, Risi Kondor
Multiresolution equivariant graph variational autoencoder. Mach. Learn. Sci. Technol. 4 (1) (2023)
Varun Shankar, Vedant Puri, Ramesh Balakrishnan, Romit Maulik, Venkatasubramanian Viswanathan
Differentiable physics-enabled closure modeling for Burgers' turbulence. Mach. Learn. Sci. Technol. 4 (1) (2023)
Mehmet Akif Özdemir, Gizem Dilara Ozdemir, Merve Gul, Onan Güren, Utku Kursat Ercan
Machine learning to predict the antimicrobial activity of cold atmospheric plasma-activated liquids. Mach. Learn. Sci. Technol. 4 (1) (2023)
Pongpisit Thanasutives, Takashi Morita, Masayuki Numao, Ken-ichi Fukui
Noise-aware physics-informed machine learning for robust PDE discovery. Mach. Learn. Sci. Technol. 4 (1) (2023)
Xiao Liang, Mingfan Li, Qian Xiao, Junshi Chen, Chao Yang, Hong An, Lixin He
Deep learning representations for quantum many-body systems on heterogeneous hardware. Mach. Learn. Sci. Technol. 4 (1) (2023)
K. M. Abubeker, S. Baskar
B2-Net: an artificial intelligence powered machine learning framework for the classification of pneumonia in chest x-ray images. Mach. Learn. Sci. Technol. 4 (1) (2023)
Tingting Xue, Xu Li, Xiaosong Chen, Li Chen, Zhangang Han
Machine learning phases in swarming systems. Mach. Learn. Sci. Technol. 4 (1) (2023)
Laura Gambini, Tiarnan Mullarkey, Lewys Jones, Stefano Sanvito
Machine-learning approach for quantified resolvability enhancement of low-dose STEM data. Mach. Learn. Sci. Technol. 4 (1) (2023)
Yongqiang Cheng, Geoffrey Wu, Daniel M. Pajerowski, Matthew B. Stone, Andrei T. Savici, Mingda Li, Anibal Ramirez-Cuesta
Direct prediction of inelastic neutron scattering spectra from the crystal structure. Mach. Learn. Sci. Technol. 4 (1) (2023)
Abdulhakim Alnuqaydan, Sergei Gleyzer, Harrison Prosper
SYMBA: symbolic computation of squared amplitudes in high energy physics with machine learning. Mach. Learn. Sci. Technol. 4 (1) (2023)
Tobias Haug, Chris N. Self, M. S. Kim
Quantum machine learning of large datasets using randomized measurements. Mach. Learn. Sci. Technol. 4 (1) (2023)
Chandrajit Bajaj, Luke McLennan, Timothy Andeen, Avik Roy
Recipes for when physics fails: recovering robust learning of physics informed neural networks. Mach. Learn. Sci. Technol. 4 (1) (2023)
Marco Corrias, Lorenzo Papa, Igor Sokolovic, Viktor Birschitzky, Alexander Gorfer, Martin Setvin, Michael Schmid, Ulrike Diebold, Michele Reticcioli, Cesare Franchini
Automated real-space lattice extraction for atomic force microscopy images. Mach. Learn. Sci. Technol. 4 (1) (2023)
Arpan Biswas, Rama K. Vasudevan, Maxim A. Ziatdinov, Sergei V. Kalinin
. Mach. Learn. Sci. Technol. 4 (1) (2023)
Chris Tennant, Brian Freeman, Reza Kazimi, Daniel Moser, Dan T. Abell, Jonathan Edelen, Joshua Einstein-Curtis
A smart alarm for particle accelerator beamline operations. Mach. Learn. Sci. Technol. 4 (1) (2023)
Min-Ruei Lin, Wan-Ju Li, Shin-Ming Huang
Quaternion-based machine learning on topological quantum systems. Mach. Learn. Sci. Technol. 4 (1) (2023)
Stefano Mensa, Emre Sahin, Francesco Tacchino, Panagiotis Kl. Barkoutsos, Ivano Tavernelli
Quantum machine learning framework for virtual screening in drug discovery: a prospective quantum advantage. Mach. Learn. Sci. Technol. 4 (1) (2023)
Christyan Cruz Ulloa, Luis Garrido, Jaime del Cerro, Antonio Barrientos
Autonomous victim detection system based on deep learning and multispectral imagery. Mach. Learn. Sci. Technol. 4 (1) (2023)
Lakshmi Revathi Krosuri, Aravapalli Rama Satish
Novel heuristic-based hybrid ResNeXt with recurrent neural network to handle multi class classification of sentiment analysis. Mach. Learn. Sci. Technol. 4 (1) (2023)
Ravinder Bhattoo, Sayan Ranu, N. M. Anoop Krishnan
Learning the dynamics of particle-based systems with Lagrangian graph neural networks. Mach. Learn. Sci. Technol. 4 (1) (2023)
Dmitri Iouchtchenko, Jérôme F. Gonthier, Alejandro Perdomo-Ortiz, Roger G. Melko
Neural network enhanced measurement efficiency for molecular groundstates. Mach. Learn. Sci. Technol. 4 (1) (2023)

volume 4, number 2, 2023