---
title: "Nature Machine Intelligence 2023 — all accepted papers, page 2"
description: "All 174 papers of Nature Machine Intelligence 2023 · page 2 of 2, the most cited first; those with our summary link to it."
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# Nature Machine Intelligence 2023: all accepted papers

174 papers · page 2 of 2 · the most cited first · [← Nature Machine Intelligence 2023](https://md.research.elamur.ai/free/en/venues/nature-machine-intelligence/2023/)

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101. **[Machine learning-enabled globally guaranteed evolutionary computation ↗](https://doi.org/10.1038/s42256-023-00642-4)**Bin Li, Ziping Wei, Jingjing Wu et al.*31 citations*
102. **[Neural-network solutions to stochastic reaction networks ↗](https://doi.org/10.1038/s42256-023-00632-6)**Ying Tang, Jiayu Weng, Pan Zhang*31 citations*
103. **[Federated machine learning in data-protection-compliant research ↗](https://doi.org/10.1038/s42256-022-00601-5)**Alissa Brauneck, Louisa Schmalhorst, Mohammad Mahdi Kazemi Majdabadi et al.*30 citations*
104. **[Updating the Checklist for Artificial Intelligence in Medical Imaging (CLAIM) for reporting AI research ↗](https://doi.org/10.1038/s42256-023-00717-2)**Ali Shah Tejani, Michail E. Klontzas, Anthony A. Gatti et al.*30 citations*
105. **[Evaluating protein binding interfaces with transformer networks ↗](https://doi.org/10.1038/s42256-023-00715-4)**Vitalii Stebliankin, Azam Shirali, Prabin Baral et al.*29 citations*
106. **[Predicting the prevalence of complex genetic diseases from individual genotype profiles using capsule networks ↗](https://doi.org/10.1038/s42256-022-00604-2)**Xiao Luo, Xiongbin Kang, Alexander Schönhuth*29 citations*
107. **[Translating intersectionality to fair machine learning in health sciences ↗](https://doi.org/10.1038/s42256-023-00651-3)**Elle Lett, William La Cava*28 citations*
108. **[Bridging the gap between chemical reaction pretraining and conditional molecule generation with a unified model ↗](https://doi.org/10.1038/s42256-023-00764-9)**Bo Qiang, Yiran Zhou, Yuheng Ding et al.*27 citations*
109. **[Enabling collaborative governance of medical AI ↗](https://doi.org/10.1038/s42256-023-00699-1)**W. Nicholson Price, Mark Sendak, Suresh Balu et al.*27 citations*
110. **[Prediction of mechanistic subtypes of Parkinson’s using patient-derived stem cell models ↗](https://doi.org/10.1038/s42256-023-00702-9)**Karishma D’Sa, James R. Evans, Gurvir S. Virdi et al.*27 citations*
111. **[Identifying important sensory feedback for learning locomotion skills ↗](https://doi.org/10.1038/s42256-023-00701-w)**Wanming Yu, Chuanyu Yang, Christopher McGreavy et al.*25 citations*
112. **[Reusability report: Learning the transcriptional grammar in single-cell RNA-sequencing data using transformers ↗](https://doi.org/10.1038/s42256-023-00757-8)**Sameer Ahmad Khan, Alberto Maillo, Vincenzo Lagani et al.*25 citations*
113. **[Testing the limits of natural language models for predicting human language judgements ↗](https://doi.org/10.1038/s42256-023-00718-1)**Tal Golan, Matthew Siegelman, Nikolaus Kriegeskorte et al.*25 citations*
114. **[A neural machine code and programming framework for the reservoir computer ↗](https://doi.org/10.1038/s42256-023-00668-8)**Jason Z. Kim, Dani S. Bassett*24 citations*
115. **[Active learning for optimal intervention design in causal models ↗](https://doi.org/10.1038/s42256-023-00719-0)**Jiaqi Zhang, Louis V. Cammarata, Chandler Squires et al.*24 citations*
116. **[Deep domain adversarial neural network for the deconvolution of cell type mixtures in tissue proteome profiling ↗](https://doi.org/10.1038/s42256-023-00737-y)**Fang Wang, Fan Yang, Long-Kai Huang et al.*24 citations*
117. **[Mode switching in organisms for solving explore-versus-exploit problems ↗](https://doi.org/10.1038/s42256-023-00745-y)**Debojyoti Biswas, Andrew Lamperski, Yu Jin Yang et al.*24 citations*
118. **[Hierarchical generative modelling for autonomous robots ↗](https://doi.org/10.1038/s42256-023-00752-z)**Kai Yuan, Noor Sajid, Karl John Friston et al.*23 citations*
119. **[Structure-inducing pre-training ↗](https://doi.org/10.1038/s42256-023-00647-z)**Matthew B. A. McDermott, Brendan Yap, Peter Szolovits B et al.*23 citations*
120. **[What’s the next word in large language models? ↗](https://doi.org/10.1038/s42256-023-00655-z)***23 citations*
121. **[Ethical hazards of health data governance in the metaverse ↗](https://doi.org/10.1038/s42256-023-00658-w)**Kristin M. Kostick, Vasiliki Nataly Rahimzadeh*22 citations*
122. **[Improving Wikipedia verifiability with AI ↗](https://doi.org/10.1038/s42256-023-00726-1)**Fabio Petroni, Samuel Broscheit, Aleksandra Piktus et al.*20 citations*
123. **[Why the European AI Act transparency obligation is insufficient ↗](https://doi.org/10.1038/s42256-023-00672-y)**Zihao Li*19 citations*
124. **[Activity–weight duality in feed-forward neural networks reveals two co-determinants for generalization ↗](https://doi.org/10.1038/s42256-023-00700-x)**Yu Feng, Wei Zhang, Yuhai Tu*18 citations*
125. **[Introducing contextual transparency for automated decision systems ↗](https://doi.org/10.1038/s42256-023-00623-7)**Mona Sloane, Ian René Solano-Kamaiko, Jun Yuan et al.*18 citations*
126. **[The TRIPOD-P reporting guideline for improving the integrity and transparency of predictive analytics in healthcare through study protocols ↗](https://doi.org/10.1038/s42256-023-00705-6)**Paula Dhiman, Rebecca Whittle, Ben VAN CALSTER et al.*18 citations*
127. **[Differentiable visual computing for inverse problems and machine learning ↗](https://doi.org/10.1038/s42256-023-00743-0)**Andrew Spielberg, Fangcheng Zhong, Konstantinos Rematas et al.*17 citations*
128. **[A typology for exploring the mitigation of shortcut behaviour ↗](https://doi.org/10.1038/s42256-023-00612-w)**Felix Friedrich, Wolfgang Stammer, Patrick Schramowski et al.*16 citations*
129. **[Estimating categorical counterfactuals via deep twin networks ↗](https://doi.org/10.1038/s42256-023-00611-x)**Athanasios Vlontzos, Bernhard Kainz, Ciarán M. Lee*16 citations*
130. **[Supervised learning of high-confidence phenotypic subpopulations from single-cell data ↗](https://doi.org/10.1038/s42256-023-00656-y)**Tao Ren, Canping Chen, Alexey Valeryevich Danilov et al.*16 citations*
131. **[Writing the rules in AI-assisted writing ↗](https://doi.org/10.1038/s42256-023-00678-6)***14 citations*
132. **[An extension to the FDA approval process is needed to achieve AI equity ↗](https://doi.org/10.1038/s42256-023-00614-8)**Alessandro Hammond, Bhav Jain, Leo Anthony Celi et al.*12 citations*
133. **[Foundation models and the privatization of public knowledge ↗](https://doi.org/10.1038/s42256-023-00695-5)**Fabian Ferrari, José van Dijck, Antal P. J. van den Bosch*12 citations*
134. **[Medical artificial intelligence is as much social as it is technological ↗](https://doi.org/10.1038/s42256-022-00603-3)**Annamaria Carusi, Peter Winter, Iain J. Armstrong et al.*12 citations*
135. **[Meta-learning for T cell receptor binding specificity and beyond ↗](https://doi.org/10.1038/s42256-023-00641-5)**Duolin Wang, Fei He, Yang Yu et al.*11 citations*
136. **[A ‘programming’ framework for recurrent neural networks ↗](https://doi.org/10.1038/s42256-023-00674-w)**Manuel Beirán, Camille A. Spencer-Salmon, Kanaka Rajan*10 citations*
137. **[Life-threatening ventricular arrhythmia detection challenge in implantable cardioverter–defibrillators ↗](https://doi.org/10.1038/s42256-023-00659-9)**Zhenge Jia, Dawei Li, Xiaowei Xu et al.*10 citations*
138. **[Navigating the development challenges in creating complex data systems ↗](https://doi.org/10.1038/s42256-023-00665-x)**Sören Dittmer, Michael T. Roberts, Julian Gilbey et al.*10 citations*
139. **[Reply to: The pitfalls of negative data bias for the T-cell epitope specificity challenge ↗](https://doi.org/10.1038/s42256-023-00725-2)**Yicheng Gao, Yuli Gao, Kejing Dong et al.*10 citations*
140. **[Adversarial competition and collusion in algorithmic markets ↗](https://doi.org/10.1038/s42256-023-00646-0)**Luc Rocher, Arnaud J. Tournier, Yves-Alexandre de Montjoye*9 citations*
141. **[Battling disinformation with cryptography ↗](https://doi.org/10.1038/s42256-023-00733-2)**Johannes Sedlmeir, Alexander Rieger, Tamara Roth et al.*9 citations*
142. **[How to break information cocoons ↗](https://doi.org/10.1038/s42256-023-00758-7)**Fernando Pereira dos Santos*9 citations*
143. **[Phy-Q as a measure for physical reasoning intelligence ↗](https://doi.org/10.1038/s42256-022-00583-4)**Cheng Qi Xue, Vimukthini Pinto, Chathura Gamage et al.*9 citations*
144. **[Seeking a quantum advantage for machine learning ↗](https://doi.org/10.1038/s42256-023-00710-9)***9 citations*
145. **[The incentive gap in data work in the era of large models ↗](https://doi.org/10.1038/s42256-023-00673-x)**Katy Ilonka Gero, Payel Das, Pierre Dognin et al.*9 citations*
146. **[Extrapolating heterogeneous time-series gene expression data using Sagittarius ↗](https://doi.org/10.1038/s42256-023-00679-5)**Addie Woicik, Mingxin Zhang, Janelle Chan et al.*8 citations*
147. **[Topological structure of complex predictions ↗](https://doi.org/10.1038/s42256-023-00749-8)**Meng Liu, Tamal K. Dey, David F. Gleich*8 citations*
148. **[A Global South perspective for ethical algorithms and the State ↗](https://doi.org/10.1038/s42256-023-00621-9)**Nandana Sengupta, Vidya Subramanian, Anwesh Mukhopadhyay et al.*7 citations*
149. **[Reusability report: Evaluating reproducibility and reusability of a fine-tuned model to predict drug response in cancer patient samples ↗](https://doi.org/10.1038/s42256-023-00688-4)**Emily So, Fengqing Yu, Bo Wang et al.*7 citations*
150. **[Taking ethics seriously in AV trajectory planning algorithms ↗](https://doi.org/10.1038/s42256-023-00706-5)**Lando Kirchmair, Norbert Paulo*7 citations*
151. **[DishBrain plays Pong and promises more ↗](https://doi.org/10.1038/s42256-023-00666-w)**Joshua Goldwag, Ge Wang*6 citations*
152. **[A touch of virtual reality ↗](https://doi.org/10.1038/s42256-023-00686-6)***5 citations*
153. **[Improving image labelling quality ↗](https://doi.org/10.1038/s42256-023-00645-1)**Thomas George Day, John M. Simpson, Reza Razavi et al.*5 citations*
154. **[Language models and linguistic theories beyond words ↗](https://doi.org/10.1038/s42256-023-00703-8)***5 citations*
155. **[Space missions out of this world with AI ↗](https://doi.org/10.1038/s42256-023-00643-3)***5 citations*
156. **[Geometric deep learning of particle motion by MAGIK ↗](https://doi.org/10.1038/s42256-023-00660-2)**Bahare Fatemi, Jonathan Halcrow, Khuloud Jaqaman*4 citations*
157. **[Judging the creative prowess of AI ↗](https://doi.org/10.1038/s42256-023-00664-y)**Tanmoy Chakraborty, Sarah Masud*4 citations*
158. **[Many-body control with reinforcement learning and tensor networks ↗](https://doi.org/10.1038/s42256-023-00732-3)**Ying Lü, Shi-Ju Ran*4 citations*
159. **[Spatially embedded neuromorphic networks ↗](https://doi.org/10.1038/s42256-023-00771-w)**Filip Milisav, Bratislav Mišić*3 citations*
160. **[A challenge for rounded evaluation of recommender systems ↗](https://doi.org/10.1038/s42256-022-00606-0)**Jacopo Tagliabue, Federico Bianchi, Tobias Schnabel et al.*2 citations*
161. **[A challenge for the law and artificial intelligence ↗](https://doi.org/10.1038/s42256-023-00768-5)**Thomas Burri*2 citations*
162. **[A year of racing ahead with AI and not breaking things ↗](http://dx.doi.org/10.1038/s42256-023-00782-7)***2 citations*
163. **[Matching algorithms for blood donation ↗](https://doi.org/10.1038/s42256-023-00722-5)**Duncan C. McElfresh, Christian Kroer, Sergey Pupyrev et al.*2 citations*
164. **[Translating single-cell genomics into cell types ↗](https://doi.org/10.1038/s42256-022-00600-6)**Jesper N. Tegner*2 citations*
165. **[A cautionary tale about the adoption of medical AI in Sweden ↗](https://doi.org/10.1038/s42256-022-00602-4)**Emilia Niemiec*1 citation*
166. **[Algorithmic recommendations, anyone? ↗](http://dx.doi.org/10.1038/s42256-023-00631-7)***1 citation*
167. **[Crowdsourcing to predict RNA degradation and secondary structure ↗](http://dx.doi.org/10.1038/s42256-023-00615-7)**David A. Hendrix*1 citation*
168. **[Deconstructing the generalization gap ↗](https://doi.org/10.1038/s42256-023-00766-7)**Andrey Gromov*1 citation*
169. **[Listening in to perceived speech with contrastive learning ↗](https://doi.org/10.1038/s42256-023-00742-1)**Sergey D. Stavisky, Maitreyee Wairagkar*1 citation*
170. **[A social network for AI ↗](http://dx.doi.org/10.1038/s42256-023-00769-4)**
171. **[AI reality check ↗](http://dx.doi.org/10.1038/s42256-023-00755-w)**
172. **[Catching up with missing particles ↗](https://doi.org/10.1038/s42256-023-00770-x)**Séverine Atis, Lionel M. Agostini
173. **[Deep learning of causal structures in high dimensions under data limitations ↗](https://doi.org/10.18154/rwth-2023-11206)**Kai Lagemann, Christian Lagemann, Bernd Taschler et al.
174. **[Unlocking biomolecular intelligence ↗](http://dx.doi.org/10.1038/s42256-023-00730-5)**

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