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ORCIDMachine Learning: Science and Technology, Volume 5
Volume 5, Number 1, March 2024
- Chibuike Chiedozie Ibebuchi
:
Redefining the North Atlantic Oscillation index generation using autoencoder neural network. 01 - Tanujit Chakraborty, Ujjwal Reddy K. S, Shraddha M. Naik, Madhurima Panja, Bayapureddy Manvitha:
Ten years of generative adversarial nets (GANs): a survey of the state-of-the-art. 11001 - Felix Frohnert, Evert P. L. van Nieuwenburg:
Explainable representation learning of small quantum states. 15001 - Mehmet Demirtas, James Halverson, Anindita Maiti, Matthew D. Schwartz, Keegan Stoner:
Neural network field theories: non-Gaussianity, actions, and locality. 15002 - John L. A. Gardner, Kathryn T. Baker, Volker L. Deringer:
Synthetic pre-training for neural-network interatomic potentials. 15003 - 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. 15004 - Simone Manti, Alessandro Lucantonio:
Discovering interpretable physical models using symbolic regression and discrete exterior calculus. 15005 - 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'. 15006 - Pragyan Banerjee, Shivam Milind Akarte, Prakhar Kumar, Muhammad Shamsuzzaman, Ankit Butola, Krishna Agarwal, Dilip K. Prasad, Frank Melandsø, Anowarul Habib:
High-resolution imaging in acoustic microscopy using deep learning. 15007 - Niall Jeffrey, Benjamin D. Wandelt:
Evidence Networks: simple losses for fast, amortized, neural Bayesian model comparison. 15008 - Chibuike Chiedozie Ibebuchi, Omon A Obarein, Itohan-Osa Abu:
Application of autoencoders artificial neural network and principal component analysis for pattern extraction and spatial regionalization of global temperature data. 15009 - Baoshun Shi, Ke Jiang, Shaolei Zhang, Qiusheng Lian, Yanwei Qin, Yunsong Zhao:
Mud-Net: multi-domain deep unrolling network for simultaneous sparse-view and metal artifact reduction in computed tomography. 15010 - Munir S. Pathan, S. M. Pradhan, T. Palani Selvam, B. K. Sapra:
A multi-stage machine learning algorithm for estimating personal dose equivalent using thermoluminescent dosimeter. 15011 - Mani Valleti, Rama K. Vasudevan, Maxim A. Ziatdinov, Sergei V. Kalinin:
Deep kernel methods learn better: from cards to process optimization. 15012 - Yu Zhao, Xiaoyan Shen, Jiadong Chen, Wei Qian, He Ma, Liang Sang:
δARD loss for low-contrast medical image segmentation. 15013 - Jens Grauer, Fabian Jan Schwarzendahl, Hartmut Löwen, Benno Liebchen:
Optimizing collective behavior of communicating active particles with machine learning. 15014 - Raffaele Marino, Federico Ricci-Tersenghi:
Phase transitions in the mini-batch size for sparse and dense two-layer neural networks. 15015 - Weizhong Fu, Weiluo Ren, Ji Chen:
Variance extrapolation method for neural-network variational Monte Carlo. 15016 - Cristiano Fanelli, James Giroux:
ELUQuant: event-level uncertainty quantification in deep inelastic scattering. 15017 - Marco Eckhoff, Markus Reiher:
CoRe optimizer: an all-in-one solution for machine learning. 15018 - Taesam Lee, Chang-Hee Won, Vijay P. Singh:
ML-based regionalization of climate variables to forecast seasonal precipitation for water resources management. 15019 - Ali Al Kadhim, Harrison B. Prosper, Olivia F. Prosper:
Amortized simulation-based frequentist inference for tractable and intractable likelihoods. 15020 - Enes Ozelbas, Emine Elif Tülay, Serhat Ozekes:
Improving cross-subject classification performance of motor imagery signals: a data augmentation-focused deep learning framework. 15021 - Yifan Wang, Yang Li, Jiaqi Wang, Haofeng Lv, Jinshi Guo:
Sparse optical flow outliers elimination method based on Borda stochastic neighborhood graph. 15022 - Rohan Yuri Sanspeur, John R. Kitchin:
Circumventing data imbalance in magnetic ground state data for magnetic moment predictions. 15023 - Jizhen Cai, Clotilde Boust, Alamin Mansouri:
ATSFCNN: a novel attention-based triple-stream fused CNN model for hyperspectral image classification. 15024 - Jia Li, Jiangwei Li, Chenxu Wang, Fons J. Verbeek, Tanja Schultz, Hui Liu:
MS2OD: outlier detection using minimum spanning tree and medoid selection. 15025 - 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. 15026 - 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. 15027 - Chad Bustard, John F. Wu:
Deep learning cosmic ray transport from density maps of simulated, turbulent gas. 15028 - Tareq Jaouni, Sören Arlt, Carlos Ruiz-Gonzalez, Ebrahim Karimi, Xuemei Gu, Mario Krenn:
Deep quantum graph dreaming: deciphering neural network insights into quantum experiments. 15029 - Jose Galarza, Tamer Oraby:
Functional data learning using convolutional neural networks. 15030 - Dayou Yu, Deep Shankar Pandey, Joshua Hinz, Deyan I. Mihaylov, Valentin V. Karasiev, S. X. Hu, Qi Yu:
Deep energy-pressure regression for a thermodynamically consistent EOS model. 15031 - Cooper Lorsung, Zijie Li, Amir Barati Farimani:
Physics informed token transformer for solving partial differential equations. 15032 - Yanyang Wang, Wei Li, Feiyi Liu, Jianmin Shen:
Supervised and unsupervised learning of (1+1) -dimensional even-offspring branching annihilating random walks. 15033 - Xueqin Sun, Yu Li, Yihong Li, Sukai Wang, Xuan Li, Ming Lu, Ping Chen:
Regression transients modeling of solid rocket motor burning surfaces with physics-guided neural network. 15034 - Viki Kumar Prasad, Alberto Otero-de-la-Roza, Gino Dilabio:
Bridging the gap between high-level quantum chemical methods and deep learning models. 15035 - 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. 15036 - Alex Gabel, Rick Quax, Efstratios Gavves:
Data-driven Lie point symmetry detection for continuous dynamical systems. 15037 - Mohammad Rezasefat, James D. Hogan:
Prediction of 4D stress field evolution around additive manufacturing-induced porosity through progressive deep-learning frameworks. 15038 - Haoyi Xiong, Xuhong Li, Boyang Yu, Dongrui Wu, Zhanxing Zhu, Dejing Dou:
Stochastic gradient descent with random label noises: doubly stochastic models and inference stabilizer. 15039 - Arsenii Senokosov, Alexander Sedykh, Asel Sagingalieva, Basil Kyriacou, Alexey Melnikov:
Quantum machine learning for image classification. 15040 - Haiqi Dong, Amanda S. Barnard, Amanda J. Parker:
Online meta-learned gradient norms for active learning in science and technology. 15041 - Donya Khaledyan, Thomas J. Marini, Avice OConnell, Steven Meng, Jonah Kan, Galen Brennan, Yu Zhao, Timothy M. Baran, Kevin J. Parker:
WATUNet: a deep neural network for segmentation of volumetric sweep imaging ultrasound. 15042 - Jessica Barr, Giorgio Zicari, Alessandro Ferraro, Mauro Paternostro:
Spectral density classification for environment spectroscopy. 15043 - 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. 15044 - Patrick Egenlauf, Patric Rommel, Jörg Main:
Gaussian-process-regression-based method for the localization of exceptional points in complex resonance spectra. 15045 - He Wang, Yue Zhou, Zhoujian Cao, Zong-Kuan Guo, Zhixiang Ren:
WaveFormer: transformer-based denoising method for gravitational-wave data. 15046 - Dale L. Muccignat, Gregory G. Boyle, Nathan A Garland, Peter W. Stokes, Ronald D. White:
An iterative deep learning procedure for determining electron scattering cross-sections from transport coefficients. 15047 - Zhihui Song, Jinchen Xu, Xin Zhou, Xiaodong Ding, Zheng Shan:
Transforming two-dimensional tensor networks into quantum circuits for supervised learning. 15048 - 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. 15049
Volume 5, Number 2, 2024
- Omer Subasi, Sayan Ghosh, Joseph B. Manzano, Bruce Palmer, Andrés Márquez:
Analysis and Benchmarking of feature reduction for classification under computational constraints. 20501 - Emine Elif Tülay:
Ensemble classifiers fed by functional connectivity during cognitive processing differentiate Parkinson's disease even being under medication. 25001 - Alistair Lawley, Rory Hampson, Kevin Worrall, Gordon Dobie:
Using positional tracking to improve abdominal ultrasound machine learning classification. 25002 - Elies Gil-Fuster, Jens Eisert, Vedran Dunjko:
On the expressivity of embedding quantum kernels. 25003 - Jorge Francisco García-Samartín, Christyan Cruz Ulloa, Jaime del Cerro, Antonio Barrientos:
Active robotic search for victims using ensemble deep learning techniques. 25004 - Yu Li, Xueqin Sun, Sukai Wang, Yingwei Qin, Jinxiao Pan, Ping Chen:
Generation model meets swin transformer for unsupervised low-dose CT reconstruction. 25005 - David Massegur, Andrea Da Ronch:
Graph convolutional multi-mesh autoencoder for steady transonic aircraft aerodynamics. 25006 - Lukas Fuchs, Tom Kirstein, Christoph Mahr, Orkun Furat, Valentin Baric, Andreas Rosenauer, Lutz Mädler, Volker Schmidt:
Using convolutional neural networks for stereological characterization of 3D hetero-aggregates based on synthetic STEM data. 25007 - Ronak Shoghi, Alexander Hartmaier:
A machine learning constitutive model for plasticity and strain hardening of polycrystalline metals based on data from micromechanical simulations. 25008 - Joshua Villarreal, Daniel Winklehner, Daniel Koser, Janet Marie Conrad:
Neural networks as effective surrogate models of radio-frequency quadrupole particle accelerator simulations. 25009 - Juan Viguera Diez, Sara Romeo Atance, Ola Engkvist, Simon Olsson:
Generation of conformational ensembles of small molecules via surrogate model-assisted molecular dynamics. 25010 - Qunlong Ma, Zhi Ma, Ming Gao:
A method for quantifying the generalization capabilities of generative models for solving Ising models. 25011 - Sean Gasiorowski, Yifan Chen, Youssef S. G. Nashed, Pierre Granger, Camelia Mironov, Ka Vang Tsang, Daniel Ratner, Kazuhiro Terao:
Differentiable simulation of a liquid argon time projection chamber. 25012 - Parag Jyoti Dutta, Xavier Emery:
Classifying rock types by geostatistics and random forests in tandem. 25013 - Sayantan Auddy, Ramit Dey, Neal J. Turner, Shantanu Basu:
GRINN: a physics-informed neural network for solving hydrodynamic systems in the presence of self-gravity. 25014 - Massimiliano Lupo Pasini, Mariia Karabin, Markus Eisenbach:
Transferring predictions of formation energy across lattices of increasing size. 25015 - Sousuke Okukawa, Kazuyuki Hara, Kinya Hibino, Yusaku Katayose, Kazumasa Kawata, Munehiro Ohnishi, Takashi Sako, Takashi K. Sako, Makio Shibata, Atsushi Shiomi, Masato Takita:
Neural networks for separation of cosmic gamma rays and hadronic cosmic rays in air shower observation with a large area surface detector array. 25016 - Onno Huijgen, Luuk Coopmans, Peyman Najafi, Marcello Benedetti, Hilbert J. Kappen:
Training quantum Boltzmann machines with the β-variational quantum eigensolver. 25017 - Xiaoxiao Wang, Joseph Musielewicz, Richard Tran, Sudheesh Kumar Ethirajan, Xiaoyan Fu, Hilda Mera, John R. Kitchin, Rachel C. Kurchin, Zachary W. Ulissi:
Generalization of graph-based active learning relaxation strategies across materials. 25018 - Marco Knipfer, Stefan Meier, Tobias Volk, Jonas Heimerl, Peter Hommelhoff, Sergei Gleyzer:
Deep learning-based spatiotemporal multi-event reconstruction for delay line detectors. 25019 - Ryan Raikman, Eric A. Moreno, Ekaterina Govorkova, Ethan Marx, Alec Gunny, William Benoit, Deep Chatterjee, Rafia Omer, Muhammed Saleem, Dylan S. Rankin, Michael W. Coughlin, Philip C. Harris, Erik Katsavounidis:
GWAK: gravitational-wave anomalous knowledge with recurrent autoencoders. 25020 - Nhat Khang Ngo, Truong Son Hy:
Multimodal protein representation learning and target-aware variational auto-encoders for protein-binding ligand generation. 25021
Volume 5, Number 3, 2024
- Paul Hagemann, Johannes Hertrich, Maren Casfor, Sebastian Heidenreich, Gabriele Steidl:
Mixed noise and posterior estimation with conditional deepGEM. 35001 - Giles C. Strong, Maxime Lagrange, Aitor Orio, Anna Bordignon, Florian Bury, Tommaso Dorigo, Andrea Giammanco, Mariam Heikal, Jan Kieseler, Max Lamparth, Pablo Martínez Ruíz del Árbol, Federico Nardi, Pietro Vischia, Haitham Zaraket:
TomOpt: differential optimisation for task- and constraint-aware design of particle detectors in the context of muon tomography. 35002 - Shailesh Lal, Suvajit Majumder, Evgeny Sobko:
The R-mAtrIx Net. 35003 - Mohammad Sharifi Ghazijahani, Christian Cierpka:
On the prediction of the turbulent flow behind cylinder arrays via echo state networks. 35005 - Matthias Kellner, Michele Ceriotti:
Uncertainty quantification by direct propagation of shallow ensembles. 35006
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