Nature Machine Intelligence

Article	Citations
Learning nonlinear operators via DeepONet based on the universal approximation theorem of operators	884
Shortcut learning in deep neural networks	697
Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans	667
An open source machine learning framework for efficient and transparent systematic reviews	336
Machine learning pipeline for battery state-of-health estimation	301
Deep learning for tomographic image reconstruction	301
Molecular contrastive learning of representations via graph neural networks	294
AI for radiographic COVID-19 detection selects shortcuts over signal	271
Geometry-enhanced molecular representation learning for property prediction	212
Inverse design of nanoporous crystalline reticular materials with deep generative models	202
Expanding functional protein sequence spaces using generative adversarial networks	202
End-to-end privacy preserving deep learning on multi-institutional medical imaging	201
Development of metaverse for intelligent healthcare	185
Advances, challenges and opportunities in creating data for trustworthy AI	163
scBERT as a large-scale pretrained deep language model for cell type annotation of single-cell RNA-seq data	156
Improved protein structure prediction by deep learning irrespective of co-evolution information	154
Mapping the space of chemical reactions using attention-based neural networks	147
Geometric deep learning on molecular representations	144
Concept whitening for interpretable image recognition	143
Deep learning-based prediction of the T cell receptor–antigen binding specificity	141
Three types of incremental learning	140
Generating three-dimensional structures from a two-dimensional slice with generative adversarial network-based dimensionality expansion	132
Parameter-efficient fine-tuning of large-scale pre-trained language models	128
Dual use of artificial-intelligence-powered drug discovery	124
A deep learning framework for high-throughput mechanism-driven phenotype compound screening and its application to COVID-19 drug repurposing	118

AI-generated characters for supporting personalized learning and well-being	118
Machine learning and computation-enabled intelligent sensor design	116
Integration of multiomics data with graph convolutional networks to identify new cancer genes and their associated molecular mechanisms	114
A soft robot that adapts to environments through shape change	114
Code-free deep learning for multi-modality medical image classification	113
Estimation of continuous valence and arousal levels from faces in naturalistic conditions	113
Towards neural Earth system modelling by integrating artificial intelligence in Earth system science	113
Bioinspired acousto-magnetic microswarm robots with upstream motility	112
The transformational role of GPU computing and deep learning in drug discovery	112
Predicting ultrafast nonlinear dynamics in fibre optics with a recurrent neural network	109
Automatic heterogeneous quantization of deep neural networks for low-latency inference on the edge for particle detectors	109
Accurate and efficient time-domain classification with adaptive spiking recurrent neural networks	108
Prediction of water stability of metal–organic frameworks using machine learning	107
Automating turbulence modelling by multi-agent reinforcement learning	106
A soft thumb-sized vision-based sensor with accurate all-round force perception	105
Global field reconstruction from sparse sensors with Voronoi tessellation-assisted deep learning	104
Stable learning establishes some common ground between causal inference and machine learning	102
Machine learning and algorithmic fairness in public and population health	102
CHGNet as a pretrained universal neural network potential for charge-informed atomistic modelling	100
Learning functional properties of proteins with language models	100
Autonomous environment-adaptive microrobot swarm navigation enabled by deep learning-based real-time distribution planning	99
Controllable protein design with language models	98
Large pre-trained language models contain human-like biases of what is right and wrong to do	97
Large-scale chemical language representations capture molecular structure and properties	97
Human–AI collaboration enables more empathic conversations in text-based peer-to-peer mental health support	95
Biological underpinnings for lifelong learning machines	94
Multi-constraint molecular generation based on conditional transformer, knowledge distillation and reinforcement learning	94
A definition, benchmark and database of AI for social good initiatives	92
Encoding of tactile information in hand via skin-integrated wireless haptic interface	88
A versatile deep learning architecture for classification and label-free prediction of hyperspectral images	87
Functional mimicry of Ruffini receptors with fibre Bragg gratings and deep neural networks enables a bio-inspired large-area tactile-sensitive skin	87
A geometric deep learning approach to predict binding conformations of bioactive molecules	86
Out-of-the-box deep learning prediction of pharmaceutical properties by broadly learned knowledge-based molecular representations	84
Improving performance of deep learning models with axiomatic attribution priors and expected gradients	84
Morphological and molecular breast cancer profiling through explainable machine learning	83
Governing AI safety through independent audits	81
Combinatorial optimization with physics-inspired graph neural networks	81
Accurate prediction of molecular properties and drug targets using a self-supervised image representation learning framework	79
A transformer-based model to predict peptide–HLA class I binding and optimize mutated peptides for vaccine design	79
A case-based interpretable deep learning model for classification of mass lesions in digital mammography	77
Benchmarking saliency methods for chest X-ray interpretation	76
Predictive control of aerial swarms in cluttered environments	76
Teaching recurrent neural networks to infer global temporal structure from local examples	75
Molecular convolutional neural networks with DNA regulatory circuits	71
Deep neural networks identify sequence context features predictive of transcription factor binding	71
Optimized spiking neurons can classify images with high accuracy through temporal coding with two spikes	70
Simultaneous deep generative modelling and clustering of single-cell genomic data	68
Algorithms to estimate Shapley value feature attributions	67
Fast and energy-efficient neuromorphic deep learning with first-spike times	67
Multimodal data fusion for cancer biomarker discovery with deep learning	67

Extraction of protein dynamics information from cryo-EM maps using deep learning	63
Learning function from structure in neuromorphic networks	63
Interpretable bilinear attention network with domain adaptation improves drug–target prediction	63
Chemical language models enable navigation in sparsely populated chemical space	61
Interpretable deep-learning models to help achieve the Sustainable Development Goals	61
Self-supervised retinal thickness prediction enables deep learning from unlabelled data to boost classification of diabetic retinopathy	60
Large language models associate Muslims with violence	58
Experimental discovery of structure–property relationships in ferroelectric materials via active learning	58
A Long Short-Term Memory for AI Applications in Spike-based Neuromorphic Hardware	57
Chemically programmable microrobots weaving a web from hormones	57
Deep learning-inferred multiplex immunofluorescence for immunohistochemical image quantification	57
Multiscale simulations of complex systems by learning their effective dynamics	56
Deep recurrent optical flow learning for particle image velocimetry data	55
Mixed-modality speech recognition and interaction using a wearable artificial throat	53
Cell type annotation of single-cell chromatin accessibility data via supervised Bayesian embedding	53
Improving representations of genomic sequence motifs in convolutional networks with exponential activations	53
A biological perspective on evolutionary computation	53
A multi-modal pre-training transformer for universal transfer learning in metal–organic frameworks	53
Responsible artificial intelligence in agriculture requires systemic understanding of risks and externalities	51
Radiological tumour classification across imaging modality and histology	51
Deep-learning-based identification, tracking, pose estimation and behaviour classification of interacting primates and mice in complex environments	51
Deep learning-based robust positioning for all-weather autonomous driving	50
A deep learning framework for drug repurposing via emulating clinical trials on real-world patient data	50
Real-world embodied AI through a morphologically adaptive quadruped robot	50
Generalized radiograph representation learning via cross-supervision between images and free-text radiology reports	50
Visual speech recognition for multiple languages in the wild	49
Automatic strain sensor design via active learning and data augmentation for soft machines	48
Pan-Peptide Meta Learning for T-cell receptor–antigen binding recognition	48
Computationally instrument-resolution-independent de novo peptide sequencing for high-resolution devices	48
Predicting myocardial infarction through retinal scans and minimal personal information	47
A machine learning platform to estimate anti-SARS-CoV-2 activities	46
Large language models challenge the future of higher education	46
Institutionalizing ethics in AI through broader impact requirements	46
Accelerated rational PROTAC design via deep learning and molecular simulations	46
An interpretable deep-learning architecture of capsule networks for identifying cell-type gene expression programs from single-cell RNA-sequencing data	46
External validation demonstrates limited clinical utility of the interpretable mortality prediction model for patients with COVID-19	45
Recovery of continuous 3D refractive index maps from discrete intensity-only measurements using neural fields	45
AtomAI framework for deep learning analysis of image and spectroscopy data in electron and scanning probe microscopy	45
From attribution maps to human-understandable explanations through Concept Relevance Propagation	44
Cross-validation is safe to use	44
Bringing artificial intelligence to business management	44
Skills for physical artificial intelligence	44
The immuneML ecosystem for machine learning analysis of adaptive immune receptor repertoires	44
Empirical observation of negligible fairness–accuracy trade-offs in machine learning for public policy	43
The neural resource allocation problem when enhancing human bodies with extra robotic limbs	43
A multi-use deep learning method for CITE-seq and single-cell RNA-seq data integration with cell surface protein prediction and imputation	42
Autoregressive neural-network wavefunctions for ab initio quantum chemistry	42
Regression Transformer enables concurrent sequence regression and generation for molecular language modelling	41
Artificial intelligence-powered electronic skin	41
Stretchable e-skin and transformer enable high-resolution morphological reconstruction for soft robots	41
Reconstructing Kinetic Models for Dynamical Studies of Metabolism using Generative Adversarial Networks	41
Quantifying the spatial homogeneity of urban road networks via graph neural networks	40
A deep generative model enables automated structure elucidation of novel psychoactive substances	39
Advancing COVID-19 diagnosis with privacy-preserving collaboration in artificial intelligence	39
Enhancing optical-flow-based control by learning visual appearance cues for flying robots	39
Intelligent problem-solving as integrated hierarchical reinforcement learning	39
Multimodal learning with graphs	38
Decoding speech perception from non-invasive brain recordings	38
Neutralizing the impact of atmospheric turbulence on complex scene imaging via deep learning	38
Multi-objective goal-directed optimization of de novo stable organic radicals for aqueous redox flow batteries	37
Autoencoders on field-programmable gate arrays for real-time, unsupervised new physics detection at 40 MHz at the Large Hadron Collider	37
Closed-form continuous-time neural networks	37
An automated framework for efficiently designing deep convolutional neural networks in genomics	36
Deep transfer operator learning for partial differential equations under conditional shift	36
Knowledge graph-enhanced molecular contrastive learning with functional prompt	36
Variational neural annealing	36
Deep learning prediction of patient response time course from early data via neural-pharmacokinetic/pharmacodynamic modelling	36
Neurons learn by predicting future activity	36
Artificial microtubules for rapid and collective transport of magnetic microcargoes	35
An ethical trajectory planning algorithm for autonomous vehicles	35
Automating crystal-structure phase mapping by combining deep learning with constraint reasoning	34
Direct-to-consumer medical machine learning and artificial intelligence applications	34
A method for multiple-sequence-alignment-free protein structure prediction using a protein language model	33
A critical problem in benchmarking and analysis of evolutionary computation methods	33
Segmentation of neurons from fluorescence calcium recordings beyond real time	33
Leveraging large language models for predictive chemistry	33
Labelling instructions matter in biomedical image analysis	33
The AI writing on the wall	32
Deep learning STEM-EDX tomography of nanocrystals	32
Data-driven discovery of intrinsic dynamics	32

Adversarial interference and its mitigations in privacy-preserving collaborative machine learning	32
Designing clinically translatable artificial intelligence systems for high-dimensional medical imaging	32
Regulating AI in medicine in the United States and Europe	31
Transformer-based protein generation with regularized latent space optimization	31
A deep generative model for molecule optimization via one fragment modification	31
Echo state graph neural networks with analogue random resistive memory arrays	31
Predicting functional effect of missense variants using graph attention neural networks	31
Inverse design of nonlinear mechanical metamaterials via video denoising diffusion models	30
Global voxel transformer networks for augmented microscopy	30
Inferring transcription factor regulatory networks from single-cell ATAC-seq data based on graph neural networks	30
Understanding adversarial examples requires a theory of artefacts for deep learning	30