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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 W. 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
, Mustafa 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 - Ana Larrañaga
, Steven L. Brunton, Javier Martínez, Sergio 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 Benedicto
, José D. Martín-Guerrero
:
Closed-loop control of a noisy qubit with reinforcement learning. 25020
Volume 4, Number 3, September 2023
- Jakub Rydzewski
, Ming Chen
, Omar Valsson
:
Manifold learning in atomistic simulations: a conceptual review. 31001 - Gang Seob Jung
, Hunjoo Myung, Stephan Irle
:
Artificial neural network potentials for mechanics and fracture dynamics of two-dimensional crystals **. 35001 - Shawn G. Rosofsky
, E. A. Huerta
:
Magnetohydrodynamics with physics informed neural operators. 35002 - Ayush Khot
, Mark S. Neubauer
, Avik Roy
:
A detailed study of interpretability of deep neural network based top taggers. 35003 - Emiliano Diaz
, Gherardo Varando, Juan Emmanuel Johnson, Gustau Camps-Valls:
Learning latent functions for causal discovery. 35004 - Valerio Briganti
, Alessandro Lunghi
:
Efficient generation of stable linear machine-learning force fields with uncertainty-aware active learning. 35005 - Shampa Raghunathan
, Sai Ajay Kashyap Nakirikanti:
Intramolecular proton transfer reaction dynamics using machine-learned ab initio potential energy surfaces. 35006 - Tobias Schanz
, Klas Ove Möller
, Saskia Rühl
, David S. Greenberg
:
Robust detection of marine life with label-free image feature learning and probability calibration. 35007 - Harpreet Kaur
, Thomas Franosch
, Michele Caraglio
:
Adaptive active Brownian particles searching for targets of unknown positions. 35008 - Javier Lopez-Piqueres
, Jing Chen
, Alejandro Perdomo-Ortiz
:
Symmetric tensor networks for generative modeling and constrained combinatorial optimization. 35009 - Mao Su
, Ji-Hui Yang, Hongjun Xiang
, Xingao Gong
:
Efficient determination of the Hamiltonian and electronic properties using graph neural network with complete local coordinates. 35010 - Michael J. Williams
, John Veitch
, Chris Messenger
:
Importance nested sampling with normalising flows. 35011 - Nicholas M. Boffi
, Eric Vanden-Eijnden:
Probability flow solution of the Fokker-Planck equation. 35012 - Eric Lin, Boyuan Liu, Leann Lac, Daryl L. X. Fung, Carson K. Leung
, Pingzhao Hu
:
scGMM-VGAE: a Gaussian mixture model-based variational graph autoencoder algorithm for clustering single-cell RNA-seq data. 35013 - Miruna T. Cretu
, Alessandra Toniato
, Amol Thakkar
, Amin A Debabeche, Teodoro Laino
, Alain C. Vaucher
:
Standardizing chemical compounds with language models. 35014 - Harbir Antil
, Howard C. Elman, Akwum Onwunta
, Deepanshu Verma:
A deep neural network approach for parameterized PDEs and Bayesian inverse problems. 35015 - Florian B. Hinz, Amr H. Mahmoud, Markus A. Lill
:
Prediction of molecular field points using SE(3)-transformer model. 35016 - Odilon Duranthon
, Lenka Zdeborová:
Neural-prior stochastic block model. 35017 - Thomas Templin
, Milad Memarzadeh, Walter Vinci, Paul Aaron Lott, Ata Akbari Asanjan, Anthony Alexiades Armenakas, Eleanor Gilbert Rieffel:
Anomaly detection in aeronautics data with quantum-compatible discrete deep generative model. 35018 - Dongjin Lee
, Seong-Heon Lee
, Jae-Hun Jung
:
The effects of topological features on convolutional neural networks - an explanatory analysis via Grad-CAM. 35019 - Ouail Kitouni
, Niklas Nolte
, Mike Williams
:
Robust and provably monotonic networks. 35020 - Sandy Adhitia Ekahana
, Genta Indra Winata, Y. Soh, Anna Tamai
, Radovic Milan, Gabriel Aeppli, Ming Shi:
Transfer learning application of self-supervised learning in ARPES. 35021 - Jun Yang
, James Whitfield:
Machine-learning Kohn-Sham potential from dynamics in time-dependent Kohn-Sham systems. 35022 - Adam Wunderlich
, Jack Sklar
:
Data-driven modeling of noise time series with convolutional generative adversarial networks ∗. 35023 - Philippe Bacon
, Agata Trovato, Michal Bejger
:
Denoising gravitational-wave signals from binary black holes with a dilated convolutional autoencoder. 35024 - Simon Axelrod
, Rafael Gómez-Bombarelli
:
Molecular machine learning with conformer ensembles. 35025 - Song Jin Ri
, Pavel Putrov:
Graph Neural Networks and 3-dimensional topology. 35026 - Maxwell T. West
, Martin Sevior, Muhammad Usman
:
Reflection equivariant quantum neural networks for enhanced image classification. 35027 - Sonja Grönroos
, Maurizio Pierini
, Nadezda Chernyavskaya
:
Automated visual inspection of CMS HGCAL silicon sensor surface using an ensemble of a deep convolutional autoencoder and classifier. 35028 - Gaia Grosso, Nicolò Lai, Marco Letizia, Jacopo Pazzini, Marco Rando, Lorenzo Rosasco, Andrea Wulzer, Marco Zanetti:
Fast kernel methods for data quality monitoring as a goodness-of-fit test. 35029 - Guojing Cong
, Victor Fung
:
Improving materials property predictions for graph neural networks with minimal feature engineering *. 35030 - Joshua A. Vita
, Daniel Schwalbe-Koda
:
Data efficiency and extrapolation trends in neural network interatomic potentials. 35031 - Sofia-Paraskevi Moschou
, Elliot Hicks
, R. Y. Parekh, D. Mathew, S. Majumdar, Nektarios Vlahakis
:
Physics-informed neural networks for modeling astrophysical shocks. 35032 - Hugo Cui
, Bruno Loureiro, Florent Krzakala
, Lenka Zdeborová:
Error scaling laws for kernel classification under source and capacity conditions. 35033 - M. I K. Haq
, Intan Nurma Yulita, I A Dharmawan
:
A study of transfer learning in digital rock properties measurement. 35034 - Gregory A. Daly
, Jonathan E. Fieldsend
, Graham Hassall, Gavin R. Tabor
:
Data-driven plasma modelling: surrogate collisional radiative models of fluorocarbon plasmas from deep generative autoencoders. 35035 - Mohammad Kordzanganeh
, Pavel Sekatski
, Leonid Fedichkin
, Alexey Melnikov
:
An exponentially-growing family of universal quantum circuits. 35036 - Eyal Rozenberg
, Daniel Freedman:
Semi-equivariant conditional normalizing flows, with applications to target-aware molecule generation. 35037 - Iulian Emil Tampu
, Neda Haj-Hosseini
, Ida Blystad
, Anders Eklund
:
Deep learning-based detection and identification of brain tumor biomarkers in quantitative MR-images. 35038 - Peter Wirnsberger
, Borja Ibarz
, George Papamakarios
:
Estimating Gibbs free energies via isobaric-isothermal flows. 35039 - Samuel Tovey
, Sven Krippendorf
, Konstantin Nikolaou
, Christian Holm
:
Towards a phenomenological understanding of neural networks: data. 35040 - Dileep Kumar Soother
, Manuel Domínguez Pumar
, Elisa Sayrol-Clols
, Josefina Torres
, Mercedes Marín
, Javier Gómez-Elvira
, Luis Mora
, Sara Navarro
, José Antonio Rodríguez Manfredi
:
Improving resilience of sensors in planetary exploration using data-driven models. 35041 - Anton Charkin-Gorbulin, Kyle Cranmer
, Francesco Armando Di Bello, Etienne Dreyer
, Sanmay Ganguly
, Eilam Gross, Lukas Heinrich, Marumi Kado, Nilotpal Kakati, Patrick Rieck, Lorenzo Santi, Matteo Tusoni:
Configurable calorimeter simulation for AI applications. 35042 - Lea M. Trenkwalder
, Andrea López-Incera, Hendrik Poulsen Nautrup
, Fulvio Flamini
, Hans J. Briegel
:
Automated gadget discovery in the quantum domain. 35043 - Sascha Diefenbacher
, Engin Eren
, Frank Gaede, Gregor Kasieczka, Anatolii Korol, Katja Krüger, Peter McKeown
, Lennart Rustige
:
New angles on fast calorimeter shower simulation. 35044 - Artem Fediai, Patrick Reiser
, Jorge Enrique Olivares Peña, Wolfgang Wenzel, Pascal Friederich
:
Interpretable delta-learning of GW quasiparticle energies from GGA-DFT. 35045 - Adrian Radu
, Carlos A Duque
:
Deep learning neural network for approaching Schrödinger problems with arbitrary two-dimensional confinement. 35046 - Zhao-Min Chen
, Xin Jin
, Xiaoqin Zhang
, Chaoqun Xia
, Zhiyong Pan
, Ruoxi Deng
, Jie Hu
, Heng Chen
:
DIM: long-tailed object detection and instance segmentation via dynamic instance memory. 35047 - Nina Baldy, Nicolas Simon, Viktor K. Jirsa
, Meysam Hashemi
:
Hierarchical Bayesian pharmacometrics analysis of Baclofen for alcohol use disorder. 35048 - Archis S. Joglekar
, Alexander G. R. Thomas
:
Machine learning of hidden variables in multiscale fluid simulation. 35049 - Sebastian Falkner
, Alessandro Coretti
, Salvatore Romano
, Phillip L. Geissler
, Christoph Dellago
:
Conditioning Boltzmann generators for rare event sampling. 35050
Volume 4, Number 4, December 2023
- Josua Faller
, Narbota Amanova
, Ruben E. van Engen
, Jörg Martin, Clemens Elster
:
About the generalizability of deep learning based image quality assessment in mammography. 45001 - Pablo Lemos
, Niall Jeffrey, Miles D. Cranmer
, Shirley Ho, Peter W. Battaglia:
Rediscovering orbital mechanics with machine learning. 45002 - Senwei Liang
, Aditya N. Singh
, Yuanran Zhu
, David T. Limmer
, Chao Yang
:
Probing reaction channels via reinforcement learning. 45003 - Arpan Biswas
, Maxim A. Ziatdinov
, Sergei V. Kalinin:
Combining variational autoencoders and physical bias for improved microscopy data analysis ∗. 45004 - Juan Esteban Suarez Cardona
, Michael Hecht
:
Polynomial differentiation decreases the training time complexity of physics-informed neural networks and strengthens their approximation power. 45005 - Yu Miyazaki
:
Equivariant neural networks for spin dynamics simulations of itinerant magnets. 45006 - Sujin Seol
, Jungeun Lee
, Jaewoo Yoon
, Byeongwoo Kim
:
Improving SOH estimation for lithium-ion batteries using TimeGAN. 45007 - Dongni Jia, Xiaofeng Zhou
, Shuai Li, Shurui Liu, Haibo Shi:
Governing equation discovery based on causal graph for nonlinear dynamic systems. 45008 - Yun-Zhong Qiu
:
Universal adversarial perturbations for multiple classification tasks with quantum classifiers. 45009 - Wanda Hou, Yi-Zhuang You
:
Machine learning renormalization group for statistical physics. 45010 - David S. Berman, Marc S. Klinger
, Alexander G. Stapleton
:
Bayesian renormalization. 45011 - Gergely Hanczár
, Marcell Stippinger
, Dávid Hanák, Marcell T. Kurbucz
, Olivér M. Törteli, Ágnes Chripkó, Zoltán Somogyvári
:
Feature space reduction method for ultrahigh-dimensional, multiclass data: random forest-based multiround screening (RFMS). 45012 - John J. Molina
, Kenta Ogawa, Takashi Taniguchi
:
Stokesian processes : inferring Stokes flows using physics-informed Gaussian processes. 45013 - Marjuka F. Lazin
, Christian R. Shelton
, Simon N. Sandhofer, Bryan M. Wong
:
High-dimensional multi-fidelity Bayesian optimization for quantum control. 45014 - Baiyi Zhang
, Guobiao Cai, Huiyan Weng
, Weizong Wang
, Lihui Liu
, Bijiao He
:
Physics-informed neural networks for solving forward and inverse Vlasov-Poisson equation via fully kinetic simulation. 45015 - Congcong Du, Xuan Wang, Zhangsen Wang, Da-Hui Wang
:
Data-driven dynamics reconstruction using RBF network *. 45016 - Myeonghyeon Kim
, Junhwan Kwon
, Tenzin Rabga
, Yong-il Shin:
Vortex detection in atomic Bose-Einstein condensates using neural networks trained on synthetic images. 45017 - Rafia Shaikh
, Muhammad Rafi, Naeem Ahmed Mahoto
, Adel Sulaiman
, Asadullah Shaikh
:
A filter-based feature selection approach in multilabel classification. 45018 - Natália V. N. Rodrigues
, L. Raul Abramo
, Nina S. T. Hirata:
The information of attribute uncertainties: what convolutional neural networks can learn about errors in input data. 45019 - Pengcheng Ai
, Le Xiao, Zhi Deng, Yi Wang, Xiangming Sun, Guangming Huang, Dong Wang, Yulei Li, Xinchi Ran:
Label-free timing analysis of SiPM-based modularized detectors with physics-constrained deep learning. 45020 - Masanori Hanada, Junyu Liu
, Enrico Rinaldi
, Masaki Tezuka
:
Estimating truncation effects of quantum bosonic systems using sampling algorithms. 45021 - Leopoldo Sarra
, Florian Marquardt
:
Deep Bayesian experimental design for quantum many-body systems. 45022 - Breno Orzari
, Nadezda Chernyavskaya
, Raphael Cóbe
, Javier M. Duarte
, Jefferson F. Coelho
, Dimitrios Gunopulos
, Raghav Kansal
, Maurizio Pierini
, Thiago Tomei
, Mary Touranakou
:
LHC hadronic jet generation using convolutional variational autoencoders with normalizing flows. 45023 - José F. Sigut, Francisco Fumero
, Rafael Arnay, José Estévez, Tinguaro Díaz-Alemán
:
Interpretable surrogate models to approximate the predictions of convolutional neural networks in glaucoma diagnosis. 45024 - Alessandro Baiocchi
, Stefano Giagu
, Christian Napoli, M. Serra
, Pietro Nardelli
, M. Valleriani:
Artificial neural networks exploiting point cloud data for fragmented solid objects classification. 45025 - Umberto M. Tomasini
, Leonardo Petrini
, Francesco Cagnetta, Matthieu Wyart:
How deep convolutional neural networks lose spatial information with training. 45026 - Jun Dai
, Roman V. Krems:
Neural network Gaussian processes as efficient models of potential energy surfaces for polyatomic molecules. 45027 - Shreejit Jadhav
, Mihir Shrivastava
, Sanjit Mitra
:
Towards a robust and reliable deep learning approach for detection of compact binary mergers in gravitational wave data. 45028 - Mohammad H. Alshayeji
:
CAD system for epileptic seizure detection from EEG through image processing and SURF-BOF technique. 45029 - Yao-Chi Tang
, Kuo-Hao Li
:
A machine-learning approach to setting optimal thresholds and its application in rolling bearing fault diagnosis. 45030 - Julian Schuhmacher
, Laura Boggia
, Vasilis Belis
, Ema Puljak
, Michele Grossi
, Maurizio Pierini
, Sofia Vallecorsa
, Francesco Tacchino
, Panagiotis Kl. Barkoutsos
, Ivano Tavernelli
:
Unravelling physics beyond the standard model with classical and quantum anomaly detection. 45031 - Hampus Linander
, Oleksandr Balabanov
, Henry Yang, Bernhard Mehlig
:
Looking at the posterior: accuracy and uncertainty of neural-network predictions. 45032 - Maxim A. Ziatdinov
, Chun Yin Wong, Sergei V. Kalinin
:
Finding simplicity: unsupervised discovery of features, patterns, and order parameters via shift-invariant variational autoencoders *. 45033 - Adam Thomas-Mitchell
, Glenn I. Hawe
, Paul L. A. Popelier
:
Calibration of uncertainty in the active learning of machine learning force fields. 45034 - Mohammad Mehdi Rahimifar
, Quentin Wingering
, Berthié Gouin-Ferland, Hamza Ezzaoui Rahali, Charles-Étienne Granger, Audrey C. Therrien:
Exploring machine learning to hardware implementations for large data rate x-ray instrumentation. 45035 - Nathalie Soybelman
, Nilotpal Kakati
, Lukas Heinrich
, Francesco Armando Di Bello
, Etienne Dreyer
, Sanmay Ganguly
, Eilam Gross
, Marumi Kado
, Jonathan Shlomi
:
Set-conditional set generation for particle physics. 45036 - Ao Wu, Li Liu, Zifeng Wang, Shurong Pan, Jiangxue Huang, Qijun Huang, Jin He, Hao Wang, Sheng Chang
:
Graph machine learning framework for depicting wavefunction on interface. 45037 - Ivana Nikoloska
, Osvaldo Simeone, Leonardo Banchi, Petar Velickovic:
Time-warping invariant quantum recurrent neural networks via quantum-classical adaptive gating. 45038 - Zuoting Ren, Shichao Li
, Perry Xiao, Xiaopeng Yang, Hongtao Wang:
Artificial intelligent identification of apatite fission tracks based on machine learning. 45039 - Andrea Coccaro
, Francesco Armando Di Bello
, Stefano Giagu
, Lucrezia Rambelli
, Nicola Stocchetti:
Fast neural network inference on FPGAs for triggering on long-lived particles at colliders. 45040 - Xian Zhang
, Diquan Li
, Bei Liu
, Yanfang Hu, Yao Mo:
Intelligent processing of electromagnetic data using detrended and identification. 45041 - David Jacob Kedziora
, Anna Musial
, Wojciech Rudno-Rudzinski
, Bogdan Gabrys
:
Harnessing data augmentation to quantify uncertainty in the early estimation of single-photon source quality. 45042 - Dominik Lemm
, Guido Falk von Rudorff
, O. Anatole von Lilienfeld
:
Improved decision making with similarity based machine learning: applications in chemistry. 45043 - Martina Crippa
, Annalisa Cardellini
, Matteo Cioni
, Gábor Csányi, Giovanni M. Pavan
:
Machine learning of microscopic structure-dynamics relationships in complex molecular systems. 45044 - Ming-Hseng Tseng
:
GA-based weighted ensemble learning for multi-label aerial image classification using convolutional neural networks and vision transformers. 45045 - Manon P. Bart
, Nicholas J. Savino
, Paras Regmi, Lior Cohen, Haleh Safavi, Harry C. Shaw
, Sanjaya Lohani
, Thomas A. Searles, Brian T. Kirby
, Hwang Lee, Ryan T. Glasser
:
Deep learning for enhanced free-space optical communications. 45046 - Bhavannarayanna Kolla
, Venugopal P.
:
Breast cancer diagnosis through knowledge distillation of Swin transformer-based teacher-student models. 45047 - James A. McKelvy
, Irina Novikova
, Eugeniy E. Mikhailov
, Mario A. Maldonado
, Isaac Fan
, Yang Li, Ying-Ju Wang, John Kitching
, Andrey Matsko
:
Application of kernel principal component analysis for optical vector atomic magnetometry. 45048 - Dongyeon Kim
, Yejin Kan
, Seungmin Lee
, Gangman Yi
:
Parameter-free basis allocation for efficient multiple metric learning. 45049 - Christopher Kolloff
, Simon Olsson
:
Rescuing off-equilibrium simulation data through dynamic experimental data with dynAMMo. 45050 - Changwon Lee
, Daniel K. Park
:
Scalable quantum measurement error mitigation via conditional independence and transfer learning. 45051 - Mohammad Rezasefat
, James D. Hogan:
A finite element-convolutional neural network model (FE-CNN) for stress field analysis around arbitrary inclusions. 45052 - Weiyi Zhang
, Chau Minh Giang, Qingan Cai, Behnam Badie, Jun Sheng
, Chen Li:
Using random forest for brain tissue identification by Raman spectroscopy. 45053 - Francesco Pio Barone
, Daniele Dell'Aquila
, Marco Russo
:
A novel multi-layer modular approach for real-time fuzzy-identification of gravitational-wave signals. 45054 - Timothy J. Callow
, Jan Nikl
, Eli Kraisler
, Attila Cangi
:
Physics-enhanced neural networks for equation-of-state calculations. 45055 - Zhantao Chen
, Cheng Peng
, Alexander N. Petsch, Sathya R. Chitturi, Alana Okullo, Sugata Chowdhury
, Chun Hong Yoon, Joshua J. Turner
:
Bayesian experimental design and parameter estimation for ultrafast spin dynamics. 45056 - Nicholas Milson
, Arina Tashchilina
, Tian Ooi, Anna Czarnecka, Zaheen Farraz Ahmad, Lindsay J. LeBlanc:
High-dimensional reinforcement learning for optimization and control of ultracold quantum gases. 45057 - Rohan Shenoy
, Javier M. Duarte
, Christian Herwig
, James Hirschauer
, Daniel Noonan
, Maurizio Pierini
, Nhan Tran
, Cristina Mantilla Suarez
:
Differentiable Earth mover's distance for data compression at the high-luminosity LHC. 45058 - Maowei Jiang
, Kai Wang, Yue Sun
, Wenbo Chen, Bingjie Xia, Ruiqi Li:
MLGN: multi-scale local-global feature learning network for long-term series forecasting. 45059 - Ryan Jacobs
, Philip E. Goins, Dane Morgan:
Role of multifidelity data in sequential active learning materials discovery campaigns: case study of electronic bandgap. 45060 - Ares Fabregat-Hernández
, Javier Palanca, Vicent J. Botti
:
Exploring explainable AI: category theory insights into machine learning algorithms. 45061 - Javier M. Duarte
, Haoyang Li
, Avik Roy
, Ruike Zhu, E. A. Huerta
, Daniel Diaz
, Philip C. Harris
, Raghav Kansal
, Daniel S. Katz
, Ishaan H. Kavoori, Volodymyr V. Kindratenko
, Farouk Mokhtar
, Mark S. Neubauer
, Sang Eon Park
, Melissa Quinnan
, Roger Rusack
, Zhizhen Zhao:
FAIR AI models in high energy physics. 45062 - David Melching
, Erik Schultheis
, Eric Breitbarth
:
Generating artificial displacement data of cracked specimen using physics-guided adversarial networks. 45063 - Kevin A. Spiekermann
, Thijs Stuyver
, Lagnajit Pattanaik
, William H. Green Jr.
:
Comment on 'Physics-based representations for machine learning properties of chemical reactions'. 48001 - Puck van Gerwen
, Matthew D. Wodrich
, Rubén Laplaza
, Clémence Corminboeuf
:
Reply to Comment on 'Physics-based representations for machine learning properties of chemical reactions'. 48002
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