• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 843 matches

• 2024
• 
  Sarmad Ahmad Abbasi, Awais Ahmed, Seungmin Noh, Nader Latifi Gharamaleki, Seonhyoung Kim, A. M. Masum Bulbul Chowdhury, Jin-young Kim, Salvador Pané, Bradley J. Nelson, Hongsoo Choi:
  Autonomous 3D positional control of a magnetic microrobot using reinforcement learning. Nat. Mac. Intell. 6(1): 92-105 (2024)
• 
  Stephan Allenspach, Jan A. Hiss, Gisbert Schneider:
  Neural multi-task learning in drug design. Nat. Mac. Intell. 6(2): 124-137 (2024)
• 
  Séverine Atis, Lionel Agostini:
  Catching up with missing particles. Nat. Mac. Intell. 6(1): 13-14 (2024)
• 
  Marieke Ar Bak, Vince I. Madai, Leo Anthony Celi, Georgios Kaissis, Ronald Cornet, Menno Maris, Daniel Rueckert, Alena Buyx, Stuart McLennan:
  Federated learning is not a cure-all for data ethics. Nat. Mac. Intell. 6(4): 370-372 (2024)
• 
  Thomas A. Berrueta, Allison Pinosky, Todd D. Murphey:
  Maximum diffusion reinforcement learning. Nat. Mac. Intell. 6(5): 504-514 (2024)
• 
  Rodrigo Bonazzola, Enzo Ferrante, Nishant Ravikumar, Yan Xia, Bernard D. Keavney, Sven Plein, Tanveer F. Syeda-Mahmood, Alejandro F. Frangi:
  Unsupervised ensemble-based phenotyping enhances discoverability of genes related to left-ventricular morphology. Nat. Mac. Intell. 6(3): 291-306 (2024)
• 
  Andres M. Bran, Sam Cox, Oliver Schilter, Carlo Baldassari, Andrew D. White, Philippe Schwaller:
  Augmenting large language models with chemistry tools. Nat. Mac. Intell. 6(5): 525-535 (2024)
• 
  Duanhua Cao, Geng Chen, Jiaxin Jiang, Jie Yu, Runze Zhang, Mingan Chen, Wei Zhang, Lifan Chen, Feisheng Zhong, Yingying Zhang, Chenghao Lu, Xutong Li, Xiaomin Luo, Sulin Zhang, Mingyue Zheng:
  Generic protein-ligand interaction scoring by integrating physical prior knowledge and data augmentation modelling. Nat. Mac. Intell. 6(6): 688-700 (2024)
• 
  Yingying Cao, Tian-Gen Chang, Sahil Sahni, Eytan Ruppin:
  Reusability report: Leveraging supervised learning to uncover phenotype-relevant biology from single-cell RNA sequencing data. Nat. Mac. Intell. 6(3): 307-314 (2024)
• 
  Qianying Cao, Somdatta Goswami, George Em Karniadakis:
  Laplace neural operator for solving differential equations. Nat. Mac. Intell. 6(6): 631-640 (2024)
• 
  Xupeng Chen, Ran Wang, Amirhossein Khalilian-Gourtani, Leyao Yu, Patricia Dugan, Daniel Friedman, Werner K. Doyle, Orrin Devinsky, Yao Wang, Adeen Flinker:
  A neural speech decoding framework leveraging deep learning and speech synthesis. Nat. Mac. Intell. 6(4): 467-480 (2024)
• 
  Yanyi Chu, Dan Yu, Yupeng Li, Kaixuan Huang, Yue Shen, Le Cong, Jason Zhang, Mengdi Wang:
  A 5′ UTR language model for decoding untranslated regions of mRNA and function predictions. Nat. Mac. Intell. 6(4): 449-460 (2024)
• 
  Simone Ciceri, Lorenzo Cassani, Matteo Osella, Pietro Rotondo, Filippo Valle, Marco Gherardi:
  Inversion dynamics of class manifolds in deep learning reveals tradeoffs underlying generalization. Nat. Mac. Intell. 6(1): 40-47 (2024)
• 
  Harry Coppock, George Nicholson, Ivan Kiskin, Vasiliki Koutra, Kieran Baker, Jobie Budd, Richard Payne, Emma Karoune, David Hurley, Alexander Titcomb, Sabrina Egglestone, Ana Tendero Cañadas, Lorraine Butler, Radka Jersakova, Jonathon Mellor, Selina Patel, Tracey Thornley, Peter Diggle, Sylvia Richardson, Josef Packham, Björn W. Schuller, Davide Pigoli, Steven G. Gilmour, Stephen J. Roberts, Christopher C. Holmes:
  Audio-based AI classifiers show no evidence of improved COVID-19 screening over simple symptoms checkers. Nat. Mac. Intell. 6(2): 229-242 (2024)
• 
  Taoyong Cui, Chenyu Tang, Mao Su, Shufei Zhang, Yuqiang Li, Lei Bai, Yuhan Dong, Xingao Gong, Wanli Ouyang:
  Geometry-enhanced pretraining on interatomic potentials. Nat. Mac. Intell. 6(4): 428-436 (2024)
• 
  Abdourahmane Diaw, Michael M. McKerns, Irina Sagert, L. G. Stanton, Michael S. Murillo:
  Efficient learning of accurate surrogates for simulations of complex systems. Nat. Mac. Intell. 6(5): 568-577 (2024)
• 
  Yuanqi Du, Arian R. Jamasb, Jeff Guo, Tianfan Fu, Charles Harris, Yingheng Wang, Chenru Duan, Pietro Liò, Philippe Schwaller, Tom L. Blundell:
  Machine learning-aided generative molecular design. Nat. Mac. Intell. 6(6): 589-604 (2024)
• 
  Eva Erman, Markus Furendal:
  The democratization of global AI governance and the role of tech companies. Nat. Mac. Intell. 6(3): 246-248 (2024)
• 
  Wei Feng, Lvwei Wang, Zaiyun Lin, Yanhao Zhu, Han Wang, Jianqiang Dong, Rong Bai, Huting Wang, Jielong Zhou, Wei Peng, Bo Huang, Wenbiao Zhou:
  Generation of 3D molecules in pockets via a language model. Nat. Mac. Intell. 6(1): 62-73 (2024)
• 
  Noelia Ferruz, Marinka Zitnik, Pierre-Yves Oudeyer, Emmie Hine, Nandana Sengupta, Yiyu Shi, Diana Mincu, Sebastian Porsdam Mann, Payel Das, Francesco Stella:
  Anniversary AI reflections. Nat. Mac. Intell. 6(1): 6-12 (2024)
• 
  Florian Fürrutter, Gorka Muñoz-Gil, Hans J. Briegel:
  Quantum circuit synthesis with diffusion models. Nat. Mac. Intell. 6(5): 515-524 (2024)
• 
  Yaning Han, Ke Chen, Yunke Wang, Wenhao Liu, Zhouwei Wang, Xiaojing Wang, Chuanliang Han, Jiahui Liao, Kang Huang, Shengyuan Cai, Yiting Huang, Nan Wang, Jinxiu Li, Yangwangzi Song, Jing Li, Guo-Dong Wang, Liping Wang, Yaping Zhang, Pengfei Wei:
  Multi-animal 3D social pose estimation, identification and behaviour embedding with a few-shot learning framework. Nat. Mac. Intell. 6(1): 48-61 (2024)
• 
  Nasimeh Heydaribeni, Xinrui Zhan, Ruisi Zhang, Tina Eliassi-Rad, Farinaz Koushanfar:
  Distributed constrained combinatorial optimization leveraging hypergraph neural networks. Nat. Mac. Intell. 6(6): 664-672 (2024)
• 
  Glen M. Hocky:
  Connecting molecular properties with plain language. Nat. Mac. Intell. 6(3): 249-250 (2024)
• 
  Benjamin Q. Huynh, Elizabeth T. Chin, Allison Koenecke, Derek Ouyang, Daniel E. Ho, Mathew V. Kiang, David H. Rehkopf:
  Mitigating allocative tradeoffs and harms in an environmental justice data tool. Nat. Mac. Intell. 6(2): 187-194 (2024)
• 
  Ilia Igashov, Hannes Stärk, Clément Vignac, Arne Schneuing, Victor Garcia Satorras, Pascal Frossard, Max Welling, Michael M. Bronstein, Bruno E. Correia:
  Equivariant 3D-conditional diffusion model for molecular linker design. Nat. Mac. Intell. 6(4): 417-427 (2024)
• 
  Kevin Maik Jablonka, Philippe Schwaller, Andres Ortega-Guerrero, Berend Smit:
  Leveraging large language models for predictive chemistry. Nat. Mac. Intell. 6(2): 161-169 (2024)
• 
  Yuanyuan Jiang, Guo Zhang, Jing You, Hailin Zhang, Rui Yao, Huan-Zhang Xie, Liyun Zhang, Ziyi Xia, Mengzhe Dai, Yunjie Wu, Linli Li, Sheng-Yong Yang:
  PocketFlow is a data-and-knowledge-driven structure-based molecular generative model. Nat. Mac. Intell. 6(3): 326-337 (2024)
• 
  Iksung Kang, Qinrong Zhang, Stella X. Yu, Na Ji:
  Coordinate-based neural representations for computational adaptive optics in widefield microscopy. Nat. Mac. Intell. 6(6): 714-725 (2024)
• 
  Mayank Kejriwal, Eric J. Kildebeck, Robert J. Steininger, Abhinav Shrivastava:
  Challenges, evaluation and opportunities for open-world learning. Nat. Mac. Intell. 6(6): 580-588 (2024)

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