Nature Machine Intelligence 2023: all accepted papers
- Parameter-efficient fine-tuning of large-scale pre-trained language modelsNing Ding, Yujia Qin, Guang Yang et al.1,167 citations · our summary
- CHGNet as a pretrained universal neural network potential for charge-informed atomistic modelling ↗Bowen Deng, Peichen Zhong, KyuJung Jun et al.916 citations
- Human–AI collaboration enables more empathic conversations in text-based peer-to-peer mental health support ↗Ashish Kumar Sharma, Inna Wanyin Lin, Adam S. Miner et al.492 citations
- Algorithms to estimate Shapley value feature attributions ↗Hugh Chen, Ian Covert, Scott Lundberg et al.472 citations
- Multimodal data fusion for cancer biomarker discovery with deep learning ↗Sandra Steyaert, Marija Pizurica, Divya Nagaraj et al.398 citations
- Interpretable bilinear attention network with domain adaptation improves drug–target prediction ↗Peizhen Bai, Filip N. Miljković, Bino John et al.362 citations
- Artificial intelligence-powered electronic skin ↗Changhao Xu, Samuel A. Solomon, Wei Feng Gao255 citations
- Inverse design of nonlinear mechanical metamaterials via video denoising diffusion models ↗Jan-Hendrik Bastek, Dennis M. Kochmann252 citations
- Knowledge graph-enhanced molecular contrastive learning with functional prompt ↗Fang Yin, Qiang Zhang, Ningyu Zhang et al.232 citations
- Decoding speech perception from non-invasive brain recordings ↗Alexandre Défossez, Charlotte Caucheteux, Jérémy Rapin et al.215 citations
- A multi-modal pre-training transformer for universal transfer learning in metal–organic frameworks ↗Yeonghun Kang, Hyunsoo Park, Berend Smit et al.208 citations
- Influencing human–AI interaction by priming beliefs about AI can increase perceived trustworthiness, empathy and effectiveness ↗Pat Pataranutaporn, Ruby Liu, Ed Finn et al.188 citations
- From attribution maps to human-understandable explanations through Concept Relevance Propagation ↗Reduan Achtibat, Maximilian Dreyer, Ilona Eisenbraun et al.179 citations
- Multi-modal molecule structure–text model for text-based retrieval and editing ↗Shengchao Liu, Weili Nie, Chengpeng Wang et al.179 citations
- Federated benchmarking of medical artificial intelligence with MedPerf ↗Alexandros Karargyris, Renato Umeton, Micah Sheller et al.174 citations
- Mixed-modality speech recognition and interaction using a wearable artificial throat ↗Qisheng Yang, Weiqiu Jin, Qihang Zhang et al.172 citations
- Large language models challenge the future of higher education ↗Silvia Milano, Joshua Aaron McGrane, Sabina Leonelli166 citations
- Interpretable weather forecasting for worldwide stations with a unified deep model ↗Haixu Wu, Hang Zhou, Mingsheng Long et al.162 citations
- Multimodal learning with graphs ↗Yasha Ektefaie, George Dasoulas, Ayush Noori et al.161 citations
- Encoding physics to learn reaction–diffusion processes ↗Chengping Rao, Pu Ren, Qi Wang et al.153 citations
- Pan-Peptide Meta Learning for T-cell receptor–antigen binding recognition ↗Yicheng Gao, Yuli Gao, Yuxiao Fan et al.153 citations
- Defending ChatGPT against jailbreak attack via self-reminders ↗Yueqi Xie, Jingwei Yi, Jiawei Shao et al.149 citations
- Regression Transformer enables concurrent sequence regression and generation for molecular language modelling ↗Jannis Born, Matteo Manica141 citations
- Algorithmic fairness and bias mitigation for clinical machine learning with deep reinforcement learning ↗Jenny Yang, Andrew A. S. Soltan, David W. Eyre et al.140 citations
- An ethical trajectory planning algorithm for autonomous vehicles ↗Maximilian Geisslinger, Franziska Poszler, Markus Lienkamp134 citations
- A method for multiple-sequence-alignment-free protein structure prediction using a protein language model ↗Xiaomin Fang, Fan Wang, Lihang Liu et al.131 citations
- Evaluation of post-hoc interpretability methods in time-series classification ↗Hugues Turbé, Mina Bjelogrlic, Christian Lovis et al.128 citations
- Neural scaling of deep chemical models ↗Nathan C. Frey, Ryan Soklaski, Simon Axelrod et al.123 citations
- Explaining machine learning models with interactive natural language conversations using TalkToModel ↗Dylan Slack, Satyapriya Krishna, Himabindu Lakkaraju et al.122 citations
- Stretchable e-skin and transformer enable high-resolution morphological reconstruction for soft robots ↗Delin Hu, Francesco Giorgio-Serchi, Shiming Zhang et al.122 citations
- Synthetic data accelerates the development of generalizable learning-based algorithms for X-ray image analysis ↗Cong Gao, Benjamin D. Killeen, Yicheng Hu et al.116 citations
- Self-supervised learning of hologram reconstruction using physics consistency ↗Luzhe Huang, Hanlong Chen, Tairan Liu et al.112 citations
- Uncertainty-guided dual-views for semi-supervised volumetric medical image segmentation ↗Himashi Peiris, Munawar Hayat, Zhaolin Chen et al.105 citations
- Deep neural networks predict class I major histocompatibility complex epitope presentation and transfer learn neoepitope immunogenicity ↗Benjamin Alexander Albert, Yunxiao Yang, Xiaoshan M. Shao et al.104 citations
- Reconstructing growth and dynamic trajectories from single-cell transcriptomics data ↗Yutong Sha, Yuchi Qiu, Peijie Zhou et al.101 citations
- Human–AI adaptive dynamics drives the emergence of information cocoons ↗Jinghua Piao, Jiazhen Liu, Fang Zhang et al.100 citations
- ResGen is a pocket-aware 3D molecular generation model based on parallel multiscale modelling ↗Odin Zhang, Jintu Zhang, Jieyu Jin et al.99 citations
- Development of the Senseiver for efficient field reconstruction from sparse observations ↗Javier E. Santos, Zachary Fox, Arvind T. Mohan et al.95 citations
- A soft-packaged and portable rehabilitation glove capable of closed-loop fine motor skills ↗Mengli Sui, Yiming Ouyang, Hu Jin et al.94 citations
- Deep learning supported discovery of biomarkers for clinical prognosis of liver cancer ↗Junhao Liang, Weisheng Zhang, Jianghui Yang et al.93 citations
- Active mechanical haptics with high-fidelity perceptions for immersive virtual reality ↗Zhuang Zhang, Zhenghao Xu, Luoqian Emu et al.91 citations
- Forecasting the future of artificial intelligence with machine learning-based link prediction in an exponentially growing knowledge network ↗Mario Krenn, Lorenzo Buffoni, Bruno Coelho Coutinho et al.91 citations
- Generative AI entails a credit–blame asymmetry ↗Sebastian Porsdam Mann, Brian David Earp, Sven Nyholm et al.91 citations
- Better models of human high-level visual cortex emerge from natural language supervision with a large and diverse dataset ↗Aria Y. Wang, Kendrick Kay, Thomas Naselaris et al.90 citations
- Incorporating neuro-inspired adaptability for continual learning in artificial intelligence ↗Liyuan Wang, Xingxing Zhang, Qian Li et al.90 citations
- Continuous improvement of self-driving cars using dynamic confidence-aware reinforcement learning ↗Zhong Liang Cao, Kun Jiang, Weitao Zhou et al.88 citations
- Labelling instructions matter in biomedical image analysis ↗Tim Rädsch, Annika Reinke, Vivienn Weru et al.88 citations
- Annotating metabolite mass spectra with domain-inspired chemical formula transformers ↗Samuel Goldman, Jeremy Wohlwend, Martin Stražar et al.87 citations
- The importance of resource awareness in artificial intelligence for healthcare ↗Zhenge Jia, Jianxu Chen, Xiaowei Xu et al.86 citations
- Characterizing the interaction conformation between T-cell receptors and epitopes with deep learning ↗Xingang Peng, Yipin Lei, Peiyuan Feng et al.85 citations
- Echo state graph neural networks with analogue random resistive memory arrays ↗Shaocong Wang, Yi Li, Dingchen Wang et al.84 citations
- Geometric deep learning reveals the spatiotemporal features of microscopic motion ↗Jesús D. Pineda, Benjamin Midtvedt, Harshith Bachimanchi et al.83 citations
- A neuro-vector-symbolic architecture for solving Raven’s progressive matrices ↗Michael Hersche, Mustafa Zeqiri, L. Benini et al.81 citations
- Learning from data with structured missingness ↗Robin Mitra, Sarah F. McGough, Tapabrata Chakraborti et al.80 citations
- Towards quantum enhanced adversarial robustness in machine learning ↗Maxwell T. West, Shu-Lok Tsang, Jia Shun Low et al.79 citations
- Construction of a 3D whole organism spatial atlas by joint modelling of multiple slices with deep neural networks ↗Gefei Wang, Jia Kui Zhao, Yan Yan et al.77 citations
- Joint variational autoencoders for multimodal imputation and embedding ↗Noah Cohen Kalafut, Xiang Lin Huang, Daifeng Wang76 citations
- Multitask joint strategies of self-supervised representation learning on biomedical networks for drug discovery ↗Xiaoqi Wang, Yingjie Cheng, Yaning Yang et al.72 citations
- A taxonomy and review of generalization research in NLP ↗Dieuwke Hupkes, Mario Giulianelli, Verna Dankers et al.70 citations
- Accurate online training of dynamical spiking neural networks through Forward Propagation Through Time ↗Bojian Yin, Federico Corradi, Sander M. Bohté68 citations
- Self-play reinforcement learning guides protein engineering ↗Yi Wang, Hui Tang, Lichao Huang et al.68 citations
- Spatially embedded recurrent neural networks reveal widespread links between structural and functional neuroscience findings ↗Jascha Achterberg, Danyal Akarca, Daniel Strouse et al.68 citations
- Learning characteristics of graph neural networks predicting protein–ligand affinities ↗Andrea Mastropietro, Giuseppe Pasculli, Jürgen Bajorath67 citations
- Deep learning of causal structures in high dimensions under data limitations ↗Kai Lagemann, Christian Lagemann, Bernd Taschler et al.66 citations
- Calibrated geometric deep learning improves kinase–drug binding predictions ↗Yunan Luo, Yang Liu, Jian Xun Peng65 citations
- Dual adaptive training of photonic neural networks ↗Ziyang Zheng, Zhengyang Duan, Hang Chen et al.64 citations
- How can LLMs transform the robotic design process? ↗Francesco Stella, Cosimo Della Santina, Josie Hughes63 citations
- Emergent behaviour and neural dynamics in artificial agents tracking odour plumes ↗Satpreet H. Singh, Floris van Breugel, Rajesh P. N. Rao et al.61 citations
- Biomonitoring and precision health in deep space supported by artificial intelligence ↗Ryan T. Scott, Lauren Sanders, Erik Antonsen et al.58 citations
- Uncertainty quantification via a memristor Bayesian deep neural network for risk-sensitive reinforcement learning ↗Yudeng Lin, Qingtian Zhang, Bin Gao et al.55 citations
- Linguistically inspired roadmap for building biologically reliable protein language models ↗Mai Ha Vu, Rahmad Akbar, Philippe Auguste Robert et al.54 citations
- Morphological flexibility in robotic systems through physical polygon meshing ↗Christoph H. Belke, Kevin Holdcroft, Alexander Sigrist et al.53 citations
- Predicting metabolomic profiles from microbial composition through neural ordinary differential equations ↗Tong Wang, Xu‐Wen Wang, Kathleen A. Lee‐Sarwar et al.52 citations
- Deep learning based on parameterized physical forward model for adaptive holographic imaging with unpaired data ↗Chanseok Lee, Gookho Song, Hyeonggeon Kim et al.51 citations
- Reporting electricity consumption is essential for sustainable AI ↗Charlotte Debus, Marie Piraud, Achim Streit et al.51 citations
- The pitfalls of negative data bias for the T-cell epitope specificity challenge ↗Ceder Dens, Kris Laukens, Wout Bittremieux et al.50 citations
- Biological research and self-driving labs in deep space supported by artificial intelligence ↗Lauren Sanders, Ryan T. Scott, Jason H. Yang et al.49 citations
- Physics-enhanced deep surrogates for partial differential equations ↗Raphaël Pestourie, Youssef Mroueh, Christopher Rackauckas et al.49 citations
- A super-resolution strategy for mass spectrometry imaging via transfer learning ↗Tiepeng Liao, Zihao Ren, Zhaoliang Chai et al.48 citations
- Multiple stakeholders drive diverse interpretability requirements for machine learning in healthcare ↗Fergus Imrie, Robert A. Davis, Mihaela van der Schaar47 citations
- Incorporating physics into data-driven computer vision ↗Achuta Kadambi, Celso de Melo, Cho‐Jui Hsieh et al.46 citations
- Self-correcting quantum many-body control using reinforcement learning with tensor networks ↗Friederike Metz, Marin Bukov46 citations
- Testing the limits of SMILES-based de novo molecular generation with curriculum and deep reinforcement learning ↗Maranga Mokaya, Fergus Imrie, Willem P. van Hoorn et al.46 citations
- The AI writing on the wall ↗46 citations
- Resolution enhancement with a task-assisted GAN to guide optical nanoscopy image analysis and acquisition ↗Catherine Bouchard, Theresa Wiesner, Andréanne Deschênes et al.45 citations
- Addressing the harms of AI-generated inauthentic content ↗Filippo Menczer, David Crandall, Yong‐Yeol Ahn et al.42 citations
- Hybrid hierarchical learning for solving complex sequential tasks using the robotic manipulation network ROMAN ↗Eleftherios Triantafyllidis, Fernando Acero, Zhaocheng Liu et al.42 citations
- A deep neural network for real-time optoacoustic image reconstruction with adjustable speed of sound ↗Christoph Dehner, Guillaume Zahnd, Vasilis Ntziachristos et al.41 citations
- A temporally resolved DNA framework state machine in living cells ↗Yan Zhao, Shuting Cao, Yue Wang et al.41 citations
- Mitigating the missing-fragmentation problem in de novo peptide sequencing with a two-stage graph-based deep learning model ↗Zeping Mao, Ruixue Zhang, Lei Xin et al.41 citations
- Design of prime-editing guide RNAs with deep transfer learning ↗Feng Liu, Shuhong Huang, Jiongsong Hu et al.36 citations
- A statistical mechanics framework for Bayesian deep neural networks beyond the infinite-width limit ↗R. Pacelli, Sebastiano Ariosto, Mauro Pastore et al.35 citations
- Estimating treatment effects for time-to-treatment antibiotic stewardship in sepsis ↗Ruoqi Liu, Katherine M. Hunold, Jeffrey M. Caterino et al.35 citations
- Recurrent graph optimal transport for learning 3D flow motion in particle tracking ↗Jiaming Liang, Chao Xu, Shengze Cai35 citations
- Self-supervised deep learning for tracking degradation of perovskite light-emitting diodes with multispectral imaging ↗Kangyu Ji, Weizhe Lin, Yuqi Sun et al.35 citations
- A social path to human-like artificial intelligence ↗Edgar A. Duéñez‐Guzmán, Suzanne Sadedin, Jane X. Wang et al.33 citations
- Hypergraph factorization for multi-tissue gene expression imputation ↗Ramón Viñas, Chaitanya K. Joshi, Dobrik Georgiev et al.33 citations
- Protein–protein contact prediction by geometric triangle-aware protein language models ↗Peicong Lin, Huanyu Tao, Hao Li et al.33 citations
- Don’t pause giant AI for the wrong reasons ↗Marcello Ienca32 citations
- Application of variational graph encoders as an effective generalist algorithm in computer-aided drug design ↗Hilbert Yuen In Lam, Robbe Pincket, Hao Han et al.31 citations
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