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ORCIDMachine Learning: Science and Technology, Volume 6
Volume 6, Number 1, 2025
- Riccardo Rende
, Luciano Loris Viteritti:
Are queries and keys always relevant? A case study on transformer wave functions. 10501 - Michael Alexander Ramirez Sierra, Thomas R. Sokolowski:
Comparing AI versus optimization workflows for simulation-based inference of spatial-stochastic systems. 10502 - Kai-Hendrik Cohrs, Emiliano Diaz, Vasileios Sitokonstantinou, Gherardo Varando, Gustau Camps-Valls:
Large language models for causal hypothesis generation in science. 13001 - Sichao Li, Xin Wang, Amanda S. Barnard:
Diverse explanations from data-driven and domain-driven perspectives in the physical sciences. 13002 - Osman G. Mamun, Markus Bause, Bhuiyan Shameem Mahmood Ebna Hai:
Accelerated development of multi-component alloys in discrete design space using Bayesian multi-objective optimisation. 15001 - Abhishek Setty, Rasul Abdusalamov, Felix Motzoi:
Self-adaptive physics-informed quantum machine learning for solving differential equations. 15002 - Louis Lortie, James Richard Forbes:
Asymptotically stable data-driven koopman operator approximation with inputs using total extended DMD. 15003 - Xiaodong Ding, Fudong Liu, Weilong Wang, Yu Zhu, Yifan Hou, Yizhen Huang, Jinchen Xu, Zheng Shan:
New parameterized quantum gates design and efficient gradient solving based on variational quantum classification algorithm. 15004 - Husnain Ali, Rizwan Safdar, Yuanqiang Zhou, Yuan Yao, Le Yao, Zheng Zhang, Weilong Ding, Furong Gao:
A novel dynamic machine learning-based explainable fusion monitoring: application to industrial and chemical processes. 15005 - Daniel Schug, Tyler J. Kovach, M. A. Wolfe, Jared Benson, Sanghyeok Park, J. P. Dodson, J. Corrigan, Mark A. Eriksson, Justyna P. Zwolak:
Automation of quantum dot measurement analysis via explainable machine learning. 15006 - Robert Schöfbeck:
Refinable modeling for unbinned SMEFT analyses. 15007 - Thomas D. Swinburne, Danny Perez:
Parameter uncertainties for imperfect surrogate models in the low-noise regime. 15008 - Mohammad Mehdi Rahimifar, Hamza Ezzaoui Rahali, Audrey C. Therrien:
rule4ml: an open-source tool for resource utilization and latency estimation for ML models on FPGA. 15009 - Saeed Iqbal, Adnan N. Qureshi, Musaed A. Alhussein, Khursheed Aurangzeb, Atif Mahmood, Saaidal Razalli Bin Azzuhri:
Dynamic selectout and voting-based federated learning for enhanced medical image analysis. 15010 - Xin Nie, Xueyan Zhang, Di Wang, Yuankun Liu, Lumin Xing, Wenjian Liu:
Laryngeal cancer diagnosis based on improved YOLOv8 algorithm. 15011 - S. Sgroi, Giorgio Zicari, Alberto Imparato, Mauro Paternostro:
A reinforcement learning approach to the design of quantum chains for optimal energy and state transfer. 15012 - Charles J. Abolt, Javier E. Santos, Adam Atchley, Lucas A. Wells, Daithi Martin, Russell Parsons, Rodman R. Linn:
Deep-learning-based canopy height model generation from sub-meter resolution panchromatic satellite imagery. 15013 - Kacper Cybinski, Marcin Plodzien, Michal Tomza, Maciej Lewenstein, Alexandre Dauphin, Anna Dawid:
Characterizing out-of-distribution generalization of neural networks: application to the disordered Su-Schrieffer-Heeger model. 15014 - Hengrui Zhao, Biling Wang, Michael Dohopolski, Ti Bai, Steve B. Jiang, Dan Nguyen:
Deep unsupervised clustering for prostate auto-segmentation with and without hydrogel spacer. 15015 - Matthias Sachs, Wojciech G. Stark, Reinhard Johann Maurer, Christoph Ortner:
Machine learning configuration-dependent friction tensors in Langevin heatbaths. 15016 - Eduardo Almeida Soares, Victor Shirasuna, Emilio Vital Brazil, Karen Fiorella Aquino Gutierrez, Renato Cerqueira, Dmitry Zubarev, Kristin Schmidt, Daniel P. Sanders:
Causality-driven feature selection and domain adaptation for enhancing chemical foundation models in downstream tasks. 15017 - Steinn Ymir Agustsson, Mohammad Ahsanul Haque, Tam T. Truong, Marco Bianchi, Nikita Klyuchnikov, Davide Mottin, Panagiotis Karras, Philip Hofmann:
An autoencoder for compressing angle-resolved photoemission spectroscopy data. 15019 - Zexi Yang, Qi Yu, Yapeng Zhan, Jiying Liu:
Incorporating edge convolution and correlative self-attention into graph neural network for material properties prediction. 15020 - Ho Fung Tsoi, Vladimir Loncar, Sridhara Dasu, Philip C. Harris:
SymbolNet: neural symbolic regression with adaptive dynamic pruning for compression. 15021 - Muhammad Usman Akbar, Wuhao Wang, Anders Eklund:
Beware of diffusion models for synthesizing medical images - a comparison with GANs in terms of memorizing brain MRI and chest x-ray images. 15022 - José Daniel Viqueira, Daniel Faílde, Mariamo Mussa-Juane, Andrés Gómez-Tato, David Mera:
Density matrix emulation of quantum recurrent neural networks for multivariate time series prediction. 15023 - Atul Agrawal, Kislaya Ravi, Phaedon-Stelios Koutsourelakis, Hans-Joachim Bungartz:
Stochastic black-box optimization using multi-fidelity score function estimator. 15024 - Zhaojing Huang, Leping Yu, Luis Fernando Herbozo Contreras, Kamran Eshraghian, Nhan Duy Truong, Armin Nikpour, Omid Kavehei:
Advancing privacy-aware machine learning on sensitive data via edge-based continual µ-training for personalized large models. 15025 - Elmoundher Hadjaidji, Mohamed Cherif Amara Korba, Khaled Khelil:
Improving detection of Parkinson's disease with acoustic feature optimization using particle swarm optimization and machine learning. 15026 - Yuanran Zhu, Jia Yin, Cian C. Reeves, Chao Yang, Vojtech Vlcek:
Predicting nonequilibrium Green's function dynamics and photoemission spectra via nonlinear integral operator learning. 15027 - Cristiano Fanelli, James Giroux, Justin R. Stevens:
Deep(er) reconstruction of imaging Cherenkov detectors with swin transformers and normalizing flow models. 15028 - Felix Frohnert, Xuemei Gu, Mario Krenn, Evert P. L. van Nieuwenburg:
Discovering emergent connections in quantum physics research via dynamic word embeddings. 15029 - Koji Hashimoto, Koshiro Matsuo, Masaki Murata, Gakuto Ogiwara, Daichi Takeda:
Machine-learning emergent spacetime from linear response in future tabletop quantum gravity experiments. 15030 - Miguel Monteagudo Honrubia, Francisco Javier Herraiz-Martínez, Javier Matanza Domingo:
Into the latent space of capacitive sensors: interpolation and synthetic data generation using variational autoencoders. 15031 - Mickaël Delcey, Yoann Cheny, Jean Schneider, Simon Becker, Sébastien Kiesgen de Richter:
Quantitative assessment of PINN inference on experimental data for gravity currents flows. 15032 - Yuhang Wu, Ziyuan Liu, Wenjun Sun, Xu Qian:
Randomized radial basis function neural network for solving multiscale elliptic equations. 15033 - Fernando Moncada Martins, Víctor M. González, José R. Villar, Beatriz García-López, Ana Isabel Gómez-Menéndez:
Inception networks, data augmentation and transfer learning in EEG-based photosensitivity diagnosis. 15034 - Sebastian Johann Wetzel:
Closed-form interpretation of neural network classifiers with symbolic gradients. 15035 - F. M. Bayo-Muñoz, A. Malagón-Romero, Alejandro Luque:
Efficient Monte Carlo simulation of streamer discharges with deep-learning denoising models. 15036 - Jeneessha P, Balasubramanian Vinoth Kumar:
Domain knowledge-based deterministic graph traversal method for white blood cell classification. 15037 - Stefan Hildebrand, Jonathan Georg Friedrich, Melika Mohammadkhah, Sandra Klinge:
Coupled CANN-DEM simulation in solid mechanics. 15038 - Nashwan Sabti, Ram Purandhar Reddy Sudha, Julian B. Muñoz, Siddharth Mishra-Sharma, Taewook Youn:
A generative modeling approach to reconstructing 21 cm tomographic data. 15039 - Hengrui Zhao, Biling Wang, Deepkumar Mistry, Jing Wang, Michael Dohopolski, Daniel Yang, Weiguo Lu, Steve B. Jiang, Dan Nguyen:
Medical image segmentation assisted with clinical inputs via language encoder in a deep learning framework. 15040 - Frederic Rapp, David A. Kreplin, Marco F. Huber, Marco Roth:
Reinforcement learning-based architecture search for quantum machine learning. 15041 - Thomas Spriggs, Arash Ahmadi, Bokai Chen, Eliska Greplova:
Quantum resources of quantum and classical variational methods. 15042 - Pablo Rodriguez-Grasa, Robert Farzan-Rodriguez, Gabriele Novelli, Yue Ban, Mikel Sanz:
Satellite image classification with neural quantum kernels. 15043 - Aref Hashemi, Aliakbar Izadkhah:
A graph neural network simulation of dispersed systems. 15044 - Felix Conrad, Hajo Wiemer, Steffen Ihlenfeldt:
Leveraging multi-task learning regressor chains for small and sparse tabular data in materials design. 15045 - Arindam Debnath, Wesley F. Reinhart:
Overcoming sparse datasets with multi-task learning as applied to high entropy alloys. 15046 - Kuan-Cheng Chen, Tai-Yue Li, Yun-Yuan Wang, Simon See, Chun-Chieh Wang, Robert Wille, Nan-Yow Chen, An-Cheng Yang, Chun-Yu Lin:
Validating large-scale quantum machine learning: efficient simulation of quantum support vector machines using tensor networks. 15047 - Joshua A. Vita, Amit Samanta, Fei Zhou, Vincenzo Lordi:
LTAU-FF: Loss Trajectory Analysis for Uncertainty in atomistic Force Fields. 15048 - Dorian W. P. Amaral, Shixiao Liang, Juehang Qin, Christopher D. Tunnell:
Fast Bayesian inference for neutrino non-standard interactions at dark matter direct detection experiments. 15049 - Yacoub Hendi, Magdalena Larfors, Moritz Walden:
Learning group invariant Calabi-Yau metrics by fundamental domain projections. 15050 - Yanyang Wang, Yuxiang Yang, Wei Li:
Autoencoder-assisted study of directed percolation with spatial long-range interactions. 15051 - Samuele Grossi, Marco Letizia, Riccardo Torre:
Refereeing the referees: evaluating two-sample tests for validating generators in precision sciences. 15052 - Junji Zhang, Joshua Pagotto, Tim Gould, Timothy T. Duignan:
Scalable and accurate simulation of electrolyte solutions with quantum chemical accuracy. 15053 - Alexandra E. Koloniari, Evdokia C. Koursoumpa, Paraskevi Nousi, Paraskevas Lampropoulos, Nikolaos Passalis, Anastasios Tefas, Nikolaos Stergioulas:
New gravitational wave discoveries enabled by machine learning. 15054 - Alexander Luce, Daniel Grünbaum, Florian Marquardt:
dCG - differentiable connected geometries for AI-compatible multi-domain optimization and inverse design. 15055 - Roberto Moretti, Andrea Giachero, Voica Radescu, Michele Grossi:
Enhanced feature encoding and classification on distributed quantum hardware. 15056 - Wenxuan Guo, Zhaoping Hu, Ling Jin, Yanyan Xu, Marta C. González:
DeepAir: deep learning and satellite imagery to estimate high-resolution PM2.5 at scale. 15057 - Alessandro Bombini, Fernando García-Avello Bofías, Francesca Giambi, Chiara Ruberto:
Towards virtual painting recolouring using vision transformer on x-ray fluorescence datacubes. 15058 - Daniel Maître, Vishal S. Ngairangbam, Michael Spannowsky:
Optimal equivariant architectures from the symmetries of matrix-element likelihoods. 15059 - Maximilian Witte, Fabricio Rodrigues Lapolli, Philip Freese, Sebastian Götschel, Daniel Ruprecht, Peter Korn, Christopher Kadow:
Dynamic deep learning based super-resolution for the shallow water equations. 15060 - Kenji Ueda, Masaki Nishiura:
Nonlinear Gaussian process tomography with imposed non-negativity constraints on physical quantities for plasma diagnostics. 15061 - Youngkyoung Bae, Yeongwoo Song, Hawoong Jeong:
Stochastic resetting mitigates latent gradient bias of SGD from label noise. 15062 - Pawan Goyal, Süleyman Yildiz, Peter Benner:
Deep learning for structure-preserving universal stable Koopman-inspired embeddings for nonlinear canonical Hamiltonian dynamics. 15063 - Esteban León, Aobo Li, Miguel Angel Bahena Schott, B. Bos, M. Busch, J. R. Chapman, G. L. Duran, J. Gruszko, R. Henning, E. L. Martin, John F. Wilkerson:
Machine learning-powered data cleaning for LEGEND: a semi-supervised approach using affinity propagation and support vector machines. 15064 - Yumin Dong, Huanxin Ding:
Bayesian optimization of hybrid quantum LSTM in a mixed model for precipitation forecasting. 15065 - Manpreet Kaur, Camilo E. Valderrama, Qian Liu:
Hybrid vision transformer framework for efficient and explainable SEM image-based nanomaterial classification. 15066 - Magnus Sesodia, Shinichi Sunami, En Chang, Erik Rydow, Christopher J. Foot, Abel Beregi:
CNN-Based vortex detection in atomic 2D Bose gases in the presence of a phononic background. 15067 - Samuel Tovey, Tobias Fellner, Christian Holm, Michael Spannowsky:
Generating quantum reservoir state representations with random matrices. 15068 - Sheng Liu, Zhenzhen Ren, Weihua Wang, Kai Zhong, Jinhong Yang, Hongwei Ning:
High-precision prediction of non-resonant high-order harmonics energetic particle modes via stacking ensemble strategies. 15069 - Thanh V. T. Tran, Nhat Khang Ngo, Viet Thanh Duy Nguyen, Truong Son Hy:
LatentDE: latent-based directed evolution for protein sequence design. 15070 - Mengnan Cui, Karsten Reuter, Johannes T. Margraf:
Multi-fidelity transfer learning for quantum chemical data using a robust density functional tight binding baseline. 15071 - Ana Martins, Melissa Lopez, Gregory Baltus, Quirijn Meijer, Marc van der Sluys, Chris Van Den Broeck, Sarah Caudill:
Improving early detection of gravitational waves from binary neutron stars using CNNs and FPGAs. 15072 - James Giroux, Cristiano Fanelli:
Uncertainty quantification with Bayesian higher order ReLU-KANs. 15073
Volume 6, Number 2, 2025
- Geemi P. Wellawatte, Huixuan Guo, Magdalena Lederbauer, Anna S. Borisova, Matthew Hart, Marta Brucka, Philippe Schwaller:
ChemLit-QA: a human evaluated dataset for chemistry RAG tasks. 20601 - Simone Lossano, Simone Capaccioli, Francesca Cella Zanacchi, Eleonora Da Pozzo, Francesca Del Debbio, Maria Evelina Fantacci, Francesca Lizzi, Raffaella Magrassi, Benedetta Noferi, Dario Pisignano, Camilla Scapicchio, Alessandra Retico:
Generative super-resolution AI accelerates nanoscale analysis of cells. 25001 - Kenji Harada, Tsuyoshi Okubo, Naoki Kawashima:
Tensor tree learns hidden relational structures in data to construct generative models. 25002 - Nour Makke, Sanjay Chawla:
Inferring interpretable models of fragmentation functions using symbolic regression. 25003 - Gert Aarts, Diaa E. Habibi, Lingxiao Wang, Kai Zhou:
On learning higher-order cumulants in diffusion models. 25004 - Hengrui Zhang, Ruishu Huang, Jie Chen, James M. Rondinelli, Wei Chen:
Graph representation of local environments for learning high-entropy alloy properties. 25005 - Abhinav Suresh, Henning Schlömer, Baran Hashemi, Annabelle Bohrdt:
Interpretable correlator Transformer for image-like quantum matter data. 25006 - Yunxiang Li, Hua-Chieh Shao, Xiaoxue Qian, You Zhang:
FDDM: unsupervised medical image translation with a frequency-decoupled diffusion model. 25007 - Hao Li, Jianping Li, Zixiang Wu, Mingyu Wang, Guangcan Liu, Ruipeng Sun, Ruize Li, Ning Wang, Houbin Song, Shixin Zhen:
Dynamics-based predictions of infinite-dimensional complex systems using dynamical system deep learning method. 25008 - Zixiang Wu, Jianping Li, Hao Li, Mingyu Wang, Ning Wang, Guangcan Liu:
Robust prediction of chaotic systems with random errors using dynamical system deep learning. 25009 - Zhengkang Zhang:
Neural scaling laws from large-N field theory: solvable model beyond the ridgeless limit. 25010 - Haoxin Guo, Yifan Wang, Xiaobo Guo:
Optical flow estimation based on global cross information and dynamic encoder-dynamic decoder. 25011 - Pedro Corral, Roberto Centeno, Víctor Fresno:
Logic replicant: a new machine learning algorithm for multiclass classification in small datasets. 25012 - Pol Febrer, Peter Bjørn Jørgensen, Miguel Pruneda, Alberto García, Pablo Ordejón, Arghya Bhowmik:
Graph2Mat: universal graph to matrix conversion for electron density prediction. 25013 - David Jacob Kedziora, Anna Musial, Wojciech Rudno-Rudzinski, Bogdan Gabrys:
Transfer learning and the early estimation of single-photon source quality using machine learning methods. 25014 - Zhe Bai, Xishuo Wei, William Tang, Leonid Oliker, Zhihong Lin, Samuel Williams:
Transfer learning nonlinear plasma dynamic transitions in low dimensional embeddings via deep neural networks. 25015 - Dan Nguyen, Anjali Balagopal, Ti Bai, Michael Dohopolski, Mu-Han Lin, Steve B. Jiang:
Prior guided deep difference meta-learner for fast adaptation to stylized segmentation. 25016 - Daniel Lersch, Malachi Schram, Zhenyu Dai, Kishansingh Rajput, Nobuo Sato, Xingfu Wu, J. Taylor Childers, Steven Goldenberg:
SAGIPS: a physics-inspired scalable asynchronous generative inverse-problem solver. 25017 - Kishansingh Rajput, Malachi Schram, Auralee Edelen, Jonathan Colen, Armen Kasparian, Ryan Roussel, Adam Carpenter, He Zhang, Jay Benesch:
Harnessing the power of gradient-based simulations for multi-objective optimization in particle accelerators. 25018 - Taesam Lee, Yejin Kong, Vijay P. Singh:
The more the better or the less the better: LASSO versus random forest in forecasting seasonal precipitation for drought management. 25019 - Emiel Koridon, Felix Frohnert, Eric Prehn, Evert P. L. van Nieuwenburg, Jordi Tura, Stefano Polla:
Learning density functionals from noisy quantum data. 25020 - Ze-Wei Ye, Hung-Wei Hsueh, Shu-Han Hsu:
Diversity-based two-phase pruning strategy for maximizing image segmentation generalization with applications in transmission electron microscopy. 25021 - Oliver Knitter, Dan Zhao, James Stokes, Martin Ganahl, Stefan Leichenauer, Shravan K. Veerapaneni:
Retentive neural quantum states: efficient ansätze for ab initio quantum chemistry. 25022 - Trushal Sardhara, Christian J. Cyron, Martin Ritter, Roland C. Aydin:
Generative adversarial networks for creating realistic training data for machine learning-based segmentation of FIB tomography data. 25023 - Farbod Faraji, Maryam Reza, J. Nathan Kutz:
Shallow recurrent decoder for reduced order modeling of E × B plasma dynamics. 25024
Volume 6, Number 3, 2025
- Oz Amram, Luca Anzalone, Joschka Birk, Darius A. Faroughy, Anna Hallin, Gregor Kasieczka, Michael Krämer, Ian Pang, Humberto Reyes-González, David Shih:
Aspen Open Jets: unlocking LHC data for foundation models in particle physics. 30601 - Péter Pósfay, Marcell T. Kurbucz, Péter Kovács, Antal Jakovác:
Lightweight ECG signal classification via linear law-based feature extraction. 35001 - Sergei Manzhos, Johann Lüder, Pavlo Golub, Manabu Ihara:
Machine learning-guided construction of an analytic kinetic energy functional for orbital free density functional theory. 35002
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