


Остановите войну!
for scientists:


default search action
Machine Learning: Science and Technology, Volume 4
Volume 4, Number 1, March 2023
- Pablo Lemos
, Miles D. Cranmer, Muntazir Abidi, ChangHoon Hahn, Michael Eickenberg, Elena Massara, David Yallup, Shirley Ho:
Robust simulation-based inference in cosmology with Bayesian neural networks. 01 - Simone Ciarella
, Jeanne Trinquier, Martin Weigt
, Francesco Zamponi
:
Machine-learning-assisted Monte Carlo fails at sampling computationally hard problems. 10501 - 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. 15001 - Alexandre Boulle
, A Debelle:
Convolutional neural network analysis of x-ray diffraction data: strain profile retrieval in ion beam modified materials. 15002 - Ravinder Bhattoo, Sayan Ranu, N. M. Anoop Krishnan
:
Learning the dynamics of particle-based systems with Lagrangian graph neural networks. 15003 - Muhammad Kashif
, Saif M. Al-Kuwari
:
The impact of cost function globality and locality in hybrid quantum neural networks on NISQ devices. 15004 - Tobias Haug
, Chris N. Self, M. S. Kim:
Quantum machine learning of large datasets using randomized measurements. 15005 - Gunhee Park
, Joonsuk Huh
, Daniel K. Park
:
Variational quantum one-class classifier. 15006 - Abdulhakim Alnuqaydan
, Sergei Gleyzer, Harrison Prosper:
SYMBA: symbolic computation of squared amplitudes in high energy physics with machine learning. 15007 - Petr Mánek
, Graham Van Goffrier
, Vignesh Gopakumar
, Nikolaos Nikolaou
, Jonathan Shimwell
, Ingo P. Waldmann
:
Fast regression of the tritium breeding ratio in fusion reactors. 15008 - Pongpisit Thanasutives
, Takashi Morita
, Masayuki Numao
, Ken-ichi Fukui
:
Noise-aware physics-informed machine learning for robust PDE discovery. 15009 - 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. 15010 - Arpan Biswas
, Rama K. Vasudevan
, Maxim A. Ziatdinov
, Sergei V. Kalinin:
Optimizing training trajectories in variational autoencoders via latent Bayesian optimization approach *. 15011 - Artan Sheshmani, Yi-Zhuang You
, Wenbo Fu, Ahmadreza Azizi:
Categorical representation learning and RG flow operators for algorithmic classifiers. 15012 - Chandrajit Bajaj, Luke McLennan, Timothy Andeen, Avik Roy
:
Recipes for when physics fails: recovering robust learning of physics informed neural networks. 15013 - Alexander Luce
, Ali Mahdavi
, Heribert Wankerl
, Florian Marquardt
:
Investigation of inverse design of multilayer thin-films with conditional invertible neural networks. 15014 - 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. 15015 - Dmitri Iouchtchenko
, Jérôme F. Gonthier
, Alejandro Perdomo-Ortiz
, Roger G. Melko
:
Neural network enhanced measurement efficiency for molecular groundstates. 15016 - Varun Shankar
, Vedant Puri
, Ramesh Balakrishnan
, Romit Maulik
, Venkatasubramanian Viswanathan
:
Differentiable physics-enabled closure modeling for Burgers' turbulence. 15017 - Christyan Cruz Ulloa
, Luis Garrido, Jaime del Cerro
, Antonio Barrientos:
Autonomous victim detection system based on deep learning and multispectral imagery. 15018 - Elisabetta Cornacchia, Francesca Mignacco
, Rodrigo Veiga
, Cédric Gerbelot, Bruno Loureiro, Lenka Zdeborová:
Learning curves for the multi-class teacher-student perceptron. 15019 - Sascha Klawohn
, James R. Kermode
, Albert P. Bartók
:
Massively parallel fitting of Gaussian approximation potentials. 15020 - Chris Tennant
, Brian Freeman, Reza Kazimi, Daniel Moser, Dan T. Abell, Jonathan P. Edelen
, Joshua Einstein-Curtis:
A smart alarm for particle accelerator beamline operations. 15021 - Brendan Folie
, Maxwell Hutchinson:
Multivariate prediction intervals for bagged models. 15022 - 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. 15023 - Horacio Olivares-Pilón
, Adrian M. Escobar-Ruiz
, Mario Alan Quiroz-Juárez
, Norberto Aquino
:
Confined hydrogen atom: endohedrals H@C36 and H@C60. 15024 - Laura Gambini
, Tiarnan Mullarkey
, Lewys Jones
, Stefano Sanvito
:
Machine-learning approach for quantified resolvability enhancement of low-dose STEM data. 15025 - Shoummo Ahsan Khandoker
, Jawaril Munshad Abedin, Mohamed Hibat-Allah
:
Supplementing recurrent neural networks with annealing to solve combinatorial optimization problems. 15026 - Joshua A. Rackers
, Lucas Tecot, Mario Geiger, Tess E. Smidt:
A recipe for cracking the quantum scaling limit with machine learned electron densities. 15027 - Tingting Xue
, Xu Li
, Xiaosong Chen, Li Chen
, Zhangang Han:
Machine learning phases in swarming systems. 15028 - Assaf Shmuel
, Eyal Heifetz
:
Developing novel machine-learning-based fire weather indices. 15029 - 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. 15030 - Truong Son Hy
, Risi Kondor:
Multiresolution equivariant graph variational autoencoder. 15031 - Min-Ruei Lin, Wan-Ju Li
, Shin-Ming Huang
:
Quaternion-based machine learning on topological quantum systems. 15032 - Lakshmi Revathi Krosuri
, Aravapalli Rama Satish
:
Novel heuristic-based hybrid ResNeXt with recurrent neural network to handle multi class classification of sentiment analysis. 15033 - 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. 15034 - 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. 15035 - K. M. Abubeker
, S. Baskar:
B2-Net: an artificial intelligence powered machine learning framework for the classification of pneumonia in chest x-ray images. 15036 - Luis M. Antunes
, Keith T. Butler
, Ricardo Grau-Crespo
:
Predicting thermoelectric transport properties from composition with attention-based deep learning. 15037
Volume 4, Number 2, June 2023
- S. V. Venkatakrishnan
, Chris M. Fancher
, Maxim A. Ziatdinov
, Rama K. Vasudevan
, Kyle Saleeby
, James Haley
, Dunji Yu
, Ke An
, Alex Plotkowski:
Adaptive sampling for accelerating neutron diffraction-based strain mapping *. 25001 - Jingzu Yee
, Daichi Igarashi, Shun Miyatake, Yoshiyuki Tagawa
:
Prediction of the morphological evolution of a splashing drop using an encoder-decoder. 25002 - Junyu Liu
, Changchun Zhong, Matthew Otten, Anirban Chandra, Cristian L. Cortes, Chaoyang Ti
, Stephen K. Gray, Xu Han:
Quantum Kerr learning. 25003 - Elham E Khoda
, Dylan S. Rankin
, Rafael Teixeira de Lima
, Philip C. Harris
, Scott Hauck
, Shih-Chieh Hsu
, Michael Kagan
, Vladimir Loncar
, Chaitanya Paikara, Richa Rao, Sioni Summers
, Caterina Vernieri
, Aaron Wang
:
Ultra-low latency recurrent neural network inference on FPGAs for physics applications with hls4ml. 25004 - Carlotta Trigila
, Anirudh Srikanth, Emilie Roncali
:
A generative adversarial network to speed up optical Monte Carlo simulations. 25005 - Davide Piras
, Hiranya V. Peiris, Andrew Pontzen, Luisa Lucie-Smith, Ningyuan Guo, Brian Nord:
A robust estimator of mutual information for deep learning interpretability. 25006 - Samuel Duffield
, Marcello Benedetti
, Matthias Rosenkranz
:
Bayesian learning of parameterised quantum circuits. 25007 - Insoo Kim
, Minhyeok Lee
, Junhee Seok
:
ICEGAN: inverse covariance estimating generative adversarial network. 25008 - Lars Dingeldein, Pilar Cossio, Roberto Covino
:
Simulation-based inference of single-molecule force spectroscopy. 25009 - Simone Ciarella
, Massimiliano Chiappini, Emanuele Boattini, Marjolein Dijkstra
, Liesbeth M. C. Janssen
:
Dynamics of supercooled liquids from static averaged quantities using machine learning. 25010 - Aydin Göze Polat
, Ferda Nur Alpaslan
:
The reusability prior: comparing deep learning models without training. 25011 - A Larrañaga
, Steven L. Brunton, J. Martínez, S. Chapela
, Jacobo Porteiro
:
Data-driven prediction of the performance of enhanced surfaces from an extensive CFD-generated parametric search space. 25012 - Aleksandra Ciprijanovic
, Ashia Lewis
, Kevin Pedro
, Sandeep Madireddy
, Brian Nord
, Gabriel N. Perdue
, Stefan M. Wild
:
DeepAstroUDA: semi-supervised universal domain adaptation for cross-survey galaxy morphology classification and anomaly detection. 25013 - Patrick Emami
, Aidan Perreault, Jeffrey N. Law, David Biagioni, Peter C. St. John
:
Plug & play directed evolution of proteins with gradient-based discrete MCMC. 25014 - Jhansi Rani Challapalli
, Nagaraju Devarakonda
:
Effectual pre-processing with quantization error elimination in pose detector with the aid of image-guided progressive graph convolution network (IGP-GCN) for multi-person pose estimation. 25015 - Francesco Velotti
, Brennan Goddard, Verena Kain, Rebecca Louise Ramjiawan, Giovanni Zevi Della Porta, Simon Hirlaender
:
Towards automatic setup of 18 MeV electron beamline using machine learning. 25016 - Jan Weinreich
, Guido Falk von Rudorff, O. Anatole von Lilienfeld
:
Encrypted machine learning of molecular quantum properties. 25017 - Said Ouala
, Bertrand Chapron
, Fabrice Collard, Lucile Gaultier, Ronan Fablet:
Extending the extended dynamic mode decomposition with latent observables: the latent EDMD framework. 25018 - Cameron J. Gruich
, Varun Madhavan
, Yixin Wang
, Bryan R. Goldsmith
:
Clarifying trust of materials property predictions using neural networks with distribution-specific uncertainty quantification. 25019 - Yongcheng Ding
, Xi Chen
, José Rafael Magdalena Benedito, José D. Martín-Guerrero
:
Closed-loop control of a noisy qubit with reinforcement learning. 25020

manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.