External Links

    Journal: Nat. Mach. Intell.

    Volume 2, Issue 9

    487 -- 0. Algorithms to live by
    488 -- 490Stuart McLennan, Amelia Fiske, Leo Anthony Celi, Ruth Müller, Jan Harder, Konstantin Ritt, Sami Haddadin, Alena Buyx. An embedded ethics approach for AI development
    491 -- 0Shakir Mohamed. Domesticating the techno-racial project
    492 -- 493Hugo Merchant, Oswaldo Pérez. Estimating time with neural networks
    494 -- 499Mauro Birattari, Antoine Ligot, Ken Hasselmann. Disentangling automatic and semi-automatic approaches to the optimization-based design of control software for robot swarms
    500 -- 508Yue Cao, Thomas Andrew Geddes, Jean Yee Hwa Yang, Pengyi Yang. Ensemble deep learning in bioinformatics
    509 -- 517Kyle Mills, Pooya Ronagh, Isaac Tamblyn. Finding the ground state of spin Hamiltonians with reinforcement learning
    518 -- 528Christian Pek, Stefanie Manzinger, Markus Koschi, Matthias Althoff. Using online verification to prevent autonomous vehicles from causing accidents
    529 -- 539Erwan Le Merrer, Gilles Trédan. Remote explainability faces the bouncer problem
    540 -- 550Cen Wan, David T. Jones. Protein function prediction is improved by creating synthetic feature samples with generative adversarial networks
    551 -- 0Shuangjia Zheng, Yongjian Li, Sheng Chen, Jun Xu 0017, Yuedong Yang. Publisher Correction: Predicting drug-protein interaction using quasi-visual question answering system

    Volume 2, Issue 8

    419 -- 0. Next chapter in artificial writing
    420 -- 422Edmund R. Hunt, Sabine Hauert. A checklist for safe robot swarms
    423 -- 425Payal Dhar. The carbon impact of artificial intelligence
    426 -- 427Yunan Luo, Jian Peng 0001, Jianzhu Ma. When causal inference meets deep learning
    428 -- 436Sebastian Risi, Julian Togelius. Increasing generality in machine learning through procedural content generation
    437 -- 446Hiroyuki Suzuki, Robert J. Wood. Origami-inspired miniature manipulator for teleoperated microsurgery
    447 -- 456Qin Cao, Zhenghao Zhang, Alexander Xi Fu, Qiong Wu, Tin-Lap Lee, Eric Lo, Alfred S. L. Cheng, Chao Cheng, Danny Leung, Kevin Y. Yip. A unified framework for integrative study of heterogeneous gene regulatory mechanisms
    457 -- 465Wiktor Beker, Agnieszka Wolos, Sara Szymkuc, Bartosz Grzybowski. Minimal-uncertainty prediction of general drug-likeness based on Bayesian neural networks
    466 -- 475Fei Tan, Tian Tian, Xiurui Hou, Xiang Yu, Lei Gu, Fernanda Mafra, Brian D. Gregory, Zhi Wei, Hakon Hakonarson. Elucidation of DNA methylation on N6-adenine with deep learning
    476 -- 486Patrick Schramowski, Wolfgang Stammer, Stefano Teso, Anna Brugger, Franziska Herbert, Xiaoting Shao, Hans-Georg Luigs, Anne-Katrin Mahlein, Kristian Kersting. Making deep neural networks right for the right scientific reasons by interacting with their explanations

    Volume 2, Issue 7

    363 -- 0. Technology can't fix this
    364 -- 0Laura Aymerich-Franch. Why it is time to stop ostracizing social robots
    365 -- 366Asaf Tzachor, Jess Whittlestone, Lalitha Sundaram, Seán Ó hÉigeartaigh. Artificial intelligence in a crisis needs ethics with urgency
    367 -- 368Jan Hoinka, Teresa M. Przytycka. Embedding gene sets in low-dimensional space
    369 -- 375Mattia C. F. Prosperi, Yi Guo 0005, Matthew Sperrin, James S. Koopman, Jae S. Min, Xing He 0003, Shannan N. Rich, Mo Wang, Iain E. Buchan, Jiang Bian 0001. Causal inference and counterfactual prediction in machine learning for actionable healthcare
    376 -- 386Shinya Tasaki, Chris Gaiteri, Sara Mostafavi, Yanling Wang. Deep learning decodes the principles of differential gene expression
    387 -- 395Sheng Wang, Emily R. Flynn, Russ B. Altman. Gaussian embedding for large-scale gene set analysis
    396 -- 402Dries Sels, Hesam Dashti, Samia Mora, Olga Demler, Eugene Demler. Quantum approximate Bayesian computation for NMR model inference
    403 -- 410Babak Rahmani, Damien Loterie, Eirini Kakkava, Navid Borhani, Ugur Tegin, Demetri Psaltis, Christophe Moser. Actor neural networks for the robust control of partially measured nonlinear systems showcased for image propagation through diffuse media
    411 -- 418Yuri Tolkach, Tilmann Dohmgörgen, Marieta Toma, Glen Kristiansen. High-accuracy prostate cancer pathology using deep learning

    Volume 2, Issue 6

    291 -- 0. Finding a role for AI in the pandemic
    292 -- 0José Anchieta C. C. Nunes, Igor C. S. Cruz, André Nunes, Hudson Pinheiro. Speeding up coral reef conservation with AI-aided automated image analysis
    293 -- 294Nathan Peiffer-Smadja, Redwan Maatoug, François-Xavier Lescure, Eric D'ortenzio, Joelle Pineau, Jean-Rémi King. Machine Learning for COVID-19 needs global collaboration and data-sharing
    295 -- 297Miguel A. Luengo-Oroz, Katherine Hoffmann Pham, Joseph Bullock, Robert Kirkpatrick, Alexandra Luccioni, Sasha Rubel, Cedric Wachholz, Moez Chakchouk, Phillippa Biggs, Tim Nguyen, Tina Purnat, Bernardo Mariano. Artificial intelligence cooperation to support the global response to COVID-19
    301 -- 304Yann Sweeney. Tracking the debate on COVID-19 surveillance tools
    305 -- 311Georgios Kaissis, Marcus R. Makowski, Daniel Rueckert, Rickmer Braren. Secure, privacy-preserving and federated machine learning in medical imaging
    312 -- 316Fei Wu, Cewu Lu, Mingjie Zhu, Hao Chen 0011, Jun Zhu, Kai Yu 0004, Lei Li, Ming Li, Qianfeng Chen, Xi Li, Xudong Cao, Zhongyuan Wang, Zhengjun Zha, Yueting Zhuang, Yunhe Pan. Towards a new generation of artificial intelligence in China
    317 -- 324Changjun Fan, Li Zeng, Yizhou Sun, Yang-Yu Liu. Finding key players in complex networks through deep reinforcement learning
    325 -- 336Stanislaw Wozniak, Angeliki Pantazi, Thomas Bohnstingl, Evangelos Eleftheriou. Deep learning incorporating biologically inspired neural dynamics and in-memory computing
    337 -- 346Yong Wang, Mengqi Ji, Shengwei Jiang, Xukang Wang, Jiamin Wu, Feng Duan, Jingtao Fan, Laiqiang Huang, Shaohua Ma, Lu Fang, Qionghai Dai. Augmenting vascular disease diagnosis by vasculature-aware unsupervised learning
    347 -- 355Lixiang Hong, Jinjian Lin, Shuya Li, Fangping Wan, Hui Yang, Tao Jiang 0001, Dan Zhao, Jianyang Zeng. A novel machine learning framework for automated biomedical relation extraction from large-scale literature repositories
    356 -- 362Mika Sarkin Jain, Tarik F. Massoud. Predicting tumour mutational burden from histopathological images using multiscale deep learning

    Volume 2, Issue 5

    239 -- 0. A match for virtual conferences
    240 -- 241Andreagiovanni Reina. Robot teams stay safe with blockchains
    242 -- 244Edoardo Sinibaldi, Chris Gastmans, Miguel Yáñez, Richard M. Lerner, László Kovács, Carlo Casalone, Renzo Pegoraro, Vincenzo Paglia. Contributions from the Catholic Church to ethical reflections in the digital era
    245 -- 253Bo Pang, Kaiwen Zha, Hanwen Cao, Jiajun Tang, Minghui Yu, Cewu Lu. Complex sequential understanding through the awareness of spatial and temporal concepts
    254 -- 265Panagiotis-Christos Kotsias, Josep Arús-Pous, Hongming Chen, Ola Engkvist, Christian Tyrchan, Esben Jannik Bjerrum. Direct steering of de novo molecular generation with descriptor conditional recurrent neural networks
    266 -- 273Oleg S. Pianykh, Steven Guitron, Darren Parke, Chengzhao Zhang, Pari Pandharipande, James Brink, Daniel Rosenthal. Improving healthcare operations management with machine learning
    274 -- 282Pritam Mukherjee, Mu Zhou, Edward Lee, Anne Schicht, Yoganand Balagurunathan, Sandy Napel, Robert J. Gillies, Simon Wong, Alexander Thieme, Ann Leung, Olivier Gevaert. A shallow convolutional neural network predicts prognosis of lung cancer patients in multi-institutional computed tomography image datasets
    283 -- 288Li Yan, Hai-Tao Zhang, Jorge M. Gonçalves, Yang Xiao, Maolin Wang, Yuqi Guo, Chuan Sun, Xiuchuan Tang, Liang Jing, Mingyang Zhang, Xiang Huang, Ying Xiao, Haosen Cao, Yanyan Chen, Tongxin Ren, Fang Wang, Yaru Xiao, Sufang Huang, Xi Tan, Niannian Huang, Bo Jiao, Cheng Cheng, Yong Zhang, Ailin Luo, Laurent Mombaerts, Junyang Jin, Zhiguo Cao 0001, Shusheng Li, Hui Xu, Ye Yuan 0002. An interpretable mortality prediction model for COVID-19 patients
    289 -- 0. Publisher Correction: Pandemic data challenges

    Volume 2, Issue 4

    193 -- 0. Pandemic data challenges
    194 -- 196Aimun A. B. Jamjoom, Ammer M. A. Jamjoom, Hani J. Marcus. Exploring public opinion about liability and responsibility in surgical robotics
    197 -- 199Julia Stoyanovich, Jay J. Van Bavel, Tessa V. West. The imperative of interpretable machines
    200 -- 209Benjamin A. Rizkin, Albert S. Shkolnik, Neil J. Ferraro, Ryan L. Hartman. Combining automated microfluidic experimentation with machine learning for efficient polymerization design
    210 -- 219William Lotter, Gabriel Kreiman, David D. Cox. A neural network trained for prediction mimics diverse features of biological neurons and perception
    220 -- 227Ruibang Luo, Chak-Lim Wong, Yat-Sing Wong, Chi Ian Tang, Chi-Man Liu, Chi Ming Leung, Tak Wah Lam. Exploring the limit of using a deep neural network on pileup data for germline variant calling
    228 -- 235Valery Vishnevskiy, Jonas Walheim, Sebastian Kozerke. Deep variational network for rapid 4D flow MRI reconstruction
    236 -- 0Noorul Amin, Annette McGrath, Yi-Ping Phoebe Chen. Author Correction: Evaluation of deep learning in non-coding RNA classification
    237 -- 0Kevin Faust, Sudarshan Bala, Randy van Ommeren, Alessia Portante, Raniah Al Qawahmed, Ugljesa Djuric, Phedias Diamandis. Publisher Correction: Intelligent feature engineering and ontological mapping of brain tumour histomorphologies by deep learning

    Volume 2, Issue 3

    151 -- 0. Into the latent space
    152 -- 0Adam Poulsen, Eduard Fosch Villaronga, Roger Andre Søraa. Queering machines
    153 -- 154Trenton A. Jerde. The path of foundational research in robotics
    155 -- 156Luca Manneschi, Eleni Vasilaki. An alternative to backpropagation through time
    157 -- 160Jason Kamran Eshraghian. Human ownership of artificial creativity
    161 -- 170Man-Fai Ng, Jin Zhao, Qingyu Yan, Gareth John Conduit, Zhi Wei Seh. Predicting the state of charge and health of batteries using data-driven machine learning
    171 -- 180Michael Moret, Lukas Friedrich, Francesca Grisoni, Daniel Merk, Gisbert Schneider. Generative molecular design in low data regimes
    181 -- 191Nabil Imam, Thomas A. Cleland. Rapid online learning and robust recall in a neuromorphic olfactory circuit

    Volume 2, Issue 2

    83 -- 0. The only game in town
    84 -- 0Jeffrey L. Furman, Florenta Teodoridis. Machine learning could improve innovation policy
    85 -- 0Nicolas Spatola. The citizen at the centre of ethics
    86 -- 88Abubakar Abid, Ali Abdalla, Ali Abid, Dawood Khan, Abdulrahman Alfozan, James Zou 0001. An online platform for interactive feedback in biomedical machine learning
    89 -- 91Rafael A. Calvo, Dorian Peters, Stephen Cave. Advancing impact assessment for intelligent systems
    92 -- 93Jessica S. Horst, Chris M. Bird. Conceptual systems align to aid concept learning
    94 -- 103Frank Cichos, Kristian Gustavsson, Bernhard Mehlig, Giovanni Volpe. Machine learning for active matter
    104 -- 115Alvin I. Chen, Max L. Balter, Timothy J. Maguire, Martin L. Yarmush. Deep learning robotic guidance for autonomous vascular access
    116 -- 123Menglun Wang, Zixuan Cang, Guo-Wei Wei 0001. A topology-based network tree for the prediction of protein-protein binding affinity changes following mutation
    124 -- 133Leonie Zeune, Yoeri E. Boink, Guus van Dalum, Afroditi Nanou, Sanne de Wit, Kiki C. Andree, Joost F. Swennenhuis, Stephan A. van Gils, Leon W. M. M. Terstappen, Christoph Brune. Deep learning of circulating tumour cells
    134 -- 140Shuangjia Zheng, Yongjian Li, Sheng Chen, Jun Xu 0017, Yuedong Yang. Predicting drug-protein interaction using quasi-visual question answering system
    141 -- 150Qi Yan, Daniel E. Weeks, Hongyi Xin, Anand Swaroop, Emily Y. Chew, Heng Huang, Ying Ding 0003, Wei Chen 0074. Deep-learning-based prediction of late age-related macular degeneration progression

    Volume 2, Issue 12

    729 -- 0. Research, reuse, repeat
    730 -- 0Katarzyna Nowaczyk-Basinska, Stephen Cave. Let's talk about digital death
    731 -- 736Cameron Buckner. Understanding adversarial examples requires a theory of artefacts for deep learning
    737 -- 748Ge Wang 0001, Jong Chul Ye, Bruno De Man. Deep learning for tomographic image reconstruction
    749 -- 752Somesh Mohapatra, Tzuhsiung Yang, Rafael Gómez-Bombarelli. Reusability report: Designing organic photoelectronic molecules with descriptor conditional recurrent neural networks
    753 -- 763Daniel Tanneberg, Elmar Rueckert, Jan Peters 0001. Evolutionary training and abstraction yields algorithmic generalization of neural computers
    764 -- 771Ngoc Hieu Tran, Rui Qiao 0001, Lei Xin, Xin Chen, Baozhen Shan, Ming Li. Personalized deep learning of individual immunopeptidomes to identify neoantigens for cancer vaccines
    772 -- 782Zhi Chen, Yijie Bei, Cynthia Rudin. Concept whitening for interpretable image recognition
    783 -- 790David C. Schedl, Indrajit Kurmi, Oliver Bimber. Search and rescue with airborne optical sectioning
    791 -- 799Paul Bertens, Seong-Whan Lee. Network of evolvable neural units can learn synaptic learning rules and spiking dynamics
    800 -- 809Soeren Lukassen, Foo Wei Ten, Lukas Adam, Roland Eils, Christian Conrad. Gene set inference from single-cell sequencing data using a hybrid of matrix factorization and variational autoencoders
    810 -- 824Jiayun Dong, Cynthia Rudin. Exploring the cloud of variable importance for the set of all good models

    Volume 2, Issue 11

    653 -- 0. Materializing artificial intelligence
    654 -- 0Isabella Hermann. Beware of fictional AI narratives
    655 -- 657Jathan Sadowski, Mark Andrejevic. More than a few bad apps
    658 -- 660Aslan Miriyev, Mirko Kovac. Skills for physical artificial intelligence
    661 -- 662Michael Milford. C. Elegans inspires self-driving cars
    663 -- 664Dongdong Jin, Li Zhang 0010. Embodied intelligence weaves a better future
    665 -- 673Robert Geirhos, Jörn-Henrik Jacobsen, Claudio Michaelis, Richard S. Zemel, Wieland Brendel, Matthias Bethge, Felix A. Wichmann. Shortcut learning in deep neural networks
    674 -- 683Mikhail Genkin, Tatiana A. Engel. Moving beyond generalization to accurate interpretation of flexible models
    684 -- 692Jacob Levy Abitbol, Márton Karsai. Interpretable socioeconomic status inference from aerial imagery through urban patterns
    693 -- 703Lifei Wang, Rui Nie, Zeyang Yu, Ruyue Xin, Caihong Zheng, Zhang Zhang, Jiang Zhang, Jun Cai. An interpretable deep-learning architecture of capsule networks for identifying cell-type gene expression programs from single-cell RNA-sequencing data
    704 -- 710Rohit Batra, Carmen Chen, Tania G. Evans, Krista S. Walton, Rampi Ramprasad. Prediction of water stability of metal-organic frameworks using machine learning
    711 -- 718Lukas Dekanovsky, Bahareh Khezri, Zdenka Rottnerova, Filip Novotný, Jan Plutnar, Martin Pumera. Chemically programmable microrobots weaving a web from hormones
    719 -- 726Olle G. Holmberg, Niklas D. Köhler, Thiago Martins, Jakob Siedlecki, Tina Herold, Leonie Keidel, Ben Asani, Johannes Schiefelbein, Siegfried Priglinger, Karsten U. Kortuem, Fabian J. Theis. Self-supervised retinal thickness prediction enables deep learning from unlabelled data to boost classification of diabetic retinopathy
    727 -- 0Marcus Ludwig, Louis-Félix Nothias, Kai Dührkop, Irina Koester, Markus Fleischauer, Martin A. Hoffmann, Daniel Petras, Fernando Vargas, Mustafa Morsy, Lihini Aluwihare, Pieter C. Dorrestein, Sebastian Böcker. Publisher Correction: Database-independent molecular formula annotation using Gibbs sampling through ZODIAC

    Volume 2, Issue 10

    553 -- 0. Call to action for robotics
    554 -- 556Bilal A. Mateen, James Liley, Alastair K. Denniston, Chris C. Holmes, Sebastian J. Vollmer. Improving the quality of machine learning in health applications and clinical research
    557 -- 558Eliska Greplova. Solving optimization tasks in condensed matter
    559 -- 565Jaron Porciello, Maryia Ivanina, Maidul Islam, Stefan Einarson, Haym Hirsh. Accelerating evidence-informed decision-making for the Sustainable Development Goals using machine learning
    566 -- 572Ajmal Zemmar, Andres M. Lozano, Bradley J. Nelson. The rise of robots in surgical environments during COVID-19
    573 -- 584José Jiménez-Luna, Francesca Grisoni, Gisbert Schneider. Drug discovery with explainable artificial intelligence
    585 -- 594Samik Banerjee, Lucas Magee, DingKang Wang, Xu Li 0003, Bing-Xing Huo, Jaikishan Jayakumar, Katherine Matho, Meng-Kuan Lin, Keerthi Ram, Mohanasankar Sivaprakasam, Z. Josh Huang, Yusu Wang, Partha P. Mitra. Semantic segmentation of microscopic neuroanatomical data by combining topological priors with encoder-decoder deep networks
    595 -- 606James W. Martin, Bruno Scaglioni, Joseph C. Norton, Venkataraman Subramanian, Alberto Arezzo, Keith L. Obstein, Pietro Valdastri. Enabling the future of colonoscopy with intelligent and autonomous magnetic manipulation
    607 -- 618Jian Hu, Xiangjie Li, Gang Hu, Yafei Lyu, Katalin Susztak, Mingyao Li. Iterative transfer learning with neural network for clustering and cell type classification in single-cell RNA-seq analysis
    619 -- 628Anthony Culos, Amy Tsai, Natalie Stanley, Martin Becker, Mohammad Sajjad Ghaemi, David Mcilwain, Ramin Fallahzadeh, Athena Tanada, Huda Nassar, Camilo Espinosa, Maria Xenochristou, Edward Ganio, Laura Peterson, Xiaoyuan Han, Ina A. Stelzer, Kazuo Ando, Dyani Gaudilliere, Thanaphong Phongpreecha, Ivana Maric, Alan L. Chang, Gary M. Shaw, David K. Stevenson, Sean Bendall, Kara L. Davis, Wendy J. Fantl, Garry P. Nolan, Trevor Hastie, Robert Tibshirani, Martin S. Angst, Brice Gaudilliere, Nima Aghaeepour. Integration of mechanistic immunological knowledge into a machine learning pipeline improves predictions
    629 -- 641Marcus Ludwig, Louis-Félix Nothias, Kai Dührkop, Irina Koester, Markus Fleischauer, Martin A. Hoffmann, Daniel Petras, Fernando Vargas, Mustafa Morsy, Lihini Aluwihare, Pieter C. Dorrestein, Sebastian Böcker. Database-independent molecular formula annotation using Gibbs sampling through ZODIAC
    642 -- 652Mathias Lechner, Ramin M. Hasani, Alexander Amini, Thomas A. Henzinger, Daniela Rus, Radu Grosu. Neural circuit policies enabling auditable autonomy

    Volume 2, Issue 1

    1 -- 0. Let's go 2020
    2 -- 9Alexander S. Rich, Cynthia Rudin, David M. P. Jacoby, Robin Freeman, Oliver R. Wearn, Henry Shevlin, Kanta Dihal, Seán S. ÓhÉigeartaigh, James Butcher, Marco Lippi 0001, Przemyslaw Palka, Paolo Torroni, Shannon Wongvibulsin, Edmon Begoli, Gisbert Schneider, Stephen Cave, Mona Sloane, Emmanuel Moss, Iyad Rahwan, Ken Goldberg, David Howard, Luciano Floridi, Jack Stilgoe. AI reflections in 2019
    10 -- 12Andreas Theodorou, Virginia Dignum. Towards ethical and socio-legal governance in AI
    13 -- 15Jiuyong Li, Lin Liu 0003, Thuc Duy Le, Jixue Liu. Accurate data-driven prediction does not mean high reproducibility
    16 -- 17Wojciech Samek. Learning with explainable trees
    18 -- 24Maria Littmann, Katharina Selig, Liel Cohen-Lavi, Yotam Frank, Peter Hönigschmid, Evans Kataka, Anja Mösch, Kun Qian 0003, Avihai Ron, Sebastian Schmid, Adam Sorbie, Liran Szlak, Ayana Dagan-Wiener, Nir Ben-Tal, Masha Y. Niv, Daniel Razansky, Björn W. Schuller, Donna P. Ankerst, Tomer Hertz, Burkhard Rost. Validity of machine learning in biology and medicine increased through collaborations across fields of expertise
    25 -- 33Wenzhi Mao, Wenze Ding, Yaoguang Xing, Haipeng Gong. AmoebaContact and GDFold as a pipeline for rapid de novo protein structure prediction
    34 -- 42Dongwook Lee 0005, Won-Jin Moon, Jong Chul Ye. Assessing the importance of magnetic resonance contrasts using collaborative generative adversarial networks
    43 -- 55Indranil Chakraborty, Deboleena Roy, Isha Garg, Aayush Ankit, Kaushik Roy 0001. Constructing energy-efficient mixed-precision neural networks through principal component analysis for edge intelligence
    56 -- 67Scott M. Lundberg, Gabriel G. Erion, Hugh Chen, Alex J. DeGrave, Jordan M. Prutkin, Bala Nair, Ronit Katz, Jonathan Himmelfarb, Nisha Bansal, Su-In Lee. From local explanations to global understanding with explainable AI for trees
    68 -- 75Toby Howison, Josie Hughes, Fumiya Iida. Large-scale automated investigation of free-falling paper shapes via iterative physical experimentation
    76 -- 82Brett D. Roads, Bradley C. Love. Learning as the unsupervised alignment of conceptual systems
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