Advancing mathematics by guiding human intuition with AI von Davies, Alex, Veličković, Petar, Buesing, Lars, Blackwell, Sam, Zheng, Daniel, Tomašev, Nenad, Tanburn, Richard, Battaglia, Peter, Blundell, Charles, Juhász, András, Lackenby, Marc, Williamson, Geordie, Hassabis, Demis, Kohli, Pushmeet

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Detecting shortcut learning for fair medical AI using shortcut testing von Brown, Alexander, Tomasev, Nenad, Freyberg, Jan, Liu, Yuan, Karthikesalingam, Alan, Schrouff, Jessica

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Acquisition of chess knowledge in AlphaZero von McGrath, Thomas, Kapishnikov, Andrei, Tomašev, Nenad, Pearce, Adam, Wattenberg, Martin, Hassabis, Demis, Kim, Been, Paquet, Ulrich, Kramnik, Vladimir

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Clinically applicable deep learning for diagnosis and referral in retinal disease von De Fauw, Jeffrey, Ledsam, Joseph R., Romera-Paredes, Bernardino, Nikolov, Stanislav, Tomasev, Nenad, Blackwell, Sam, Askham, Harry, Glorot, Xavier, O’Donoghue, Brendan, Visentin, Daniel, van den Driessche, George, Lakshminarayanan, Balaji, Meyer, Clemens, Mackinder, Faith, Bouton, Simon, Ayoub, Kareem, Chopra, Reena, King, Dominic, Karthikesalingam, Alan, Hughes, Cían O., Raine, Rosalind, Hughes, Julian, Sim, Dawn A., Egan, Catherine, Tufail, Adnan, Montgomery, Hugh, Hassabis, Demis, Rees, Geraint, Back, Trevor, Khaw, Peng T., Suleyman, Mustafa, Cornebise, Julien, Keane, Pearse A., Ronneberger, Olaf

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The Role of Hubness in Clustering High-Dimensional Data von Tomasev, Nenad, Radovanovic, Milos, Mladenic, Dunja, Ivanovic, Mirjana

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Hubness-aware kNN classification of high-dimensional data in presence of label noise von Tomašev, Nenad, Buza, Krisztian

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Extracting the patterns of truthfulness from political information systems in Serbia von Tomasev, Nenad

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Developing a reporting guideline for artificial intelligence-centred diagnostic test accuracy studies: the STARD-AI protocol von Sounderajah, Viknesh, Ashrafian, Hutan, Golub, Robert M, Shetty, Shravya, De Fauw, Jeffrey, Hooft, Lotty, Moons, Karel, Collins, Gary, Moher, David, Bossuyt, Patrick M, Darzi, Ara, Karthikesalingam, Alan, Denniston, Alastair K, Mateen, Bilal Akhter, Ting, Daniel, Treanor, Darren, King, Dominic, Greaves, Felix, Godwin, Jonathan, Pearson-Stuttard, Jonathan, Harling, Leanne, McInnes, Matthew, Rifai, Nader, Tomasev, Nenad, Normahani, Pasha, Whiting, Penny, Aggarwal, Ravi, Vollmer, Sebastian, Markar, Sheraz R, Panch, Trishan, Liu, Xiaoxuan

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Class imbalance and the curse of minority hubs von Tomasev, Nenad, Mladenic, Dunja

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Defining acceptable data collection and reuse standards for queer artificial intelligence research in mental health: protocol for the online PARQAIR-MH Delphi study von Joyce, Dan W, Kormilitzin, Andrey, Hamer-Hunt, Julia, McKee, Kevin R, Tomasev, Nenad

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The Role Of Hubness in High-dimensional Data Analysis von Tomasev, Nenad

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AI for social good: unlocking the opportunity for positive impact von Tomašev, Nenad, Cornebise, Julien, Hutter, Frank, Mohamed, Shakir, Picciariello, Angela, Connelly, Bec, Belgrave, Danielle C. M., Ezer, Daphne, Haert, Fanny Cachat van der, Mugisha, Frank, Abila, Gerald, Arai, Hiromi, Almiraat, Hisham, Proskurnia, Julia, Snyder, Kyle, Otake-Matsuura, Mihoko, Othman, Mustafa, Glasmachers, Tobias, Wever, Wilfried de, Teh, Yee Whye, Khan, Mohammad Emtiyaz, Winne, Ruben De, Schaul, Tom, Clopath, Claudia

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A clinically applicable approach to continuous prediction of future acute kidney injury von Tomašev, Nenad, Glorot, Xavier, Rae, Jack W., Zielinski, Michal, Askham, Harry, Saraiva, Andre, Mottram, Anne, Meyer, Clemens, Ravuri, Suman, Protsyuk, Ivan, Connell, Alistair, Hughes, Cían O., Karthikesalingam, Alan, Cornebise, Julien, Montgomery, Hugh, Rees, Geraint, Laing, Chris, Baker, Clifton R., Peterson, Kelly, Reeves, Ruth, Hassabis, Demis, King, Dominic, Suleyman, Mustafa, Back, Trevor, Nielson, Christopher, Ledsam, Joseph R., Mohamed, Shakir

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Hubness-aware shared neighbor distances for high-dimensional k-nearest neighbor classification von TOMASEV, Nenad, MLADENIC, Dunja

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Hubness-aware shared neighbor distances for high-dimensional -nearest neighbor classification von Tomasev, Nenad, Mladenic, Dunja

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Hubness-based fuzzy measures for high-dimensional k-nearest neighbor classification von Tomašev, Nenad, Radovanović, Miloš, Mladenić, Dunja, Ivanović, Mirjana

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Image hub explorer: evaluating representations and metrics for content-based image retrieval and object recognition von Tomasev, Nenad, Mladenic, Dunja

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Use of deep learning to develop continuous-risk models for adverse event prediction from electronic health records von Tomašev, Nenad, Harris, Natalie, Baur, Sebastien, Mottram, Anne, Glorot, Xavier, Rae, Jack W., Zielinski, Michal, Askham, Harry, Saraiva, Andre, Magliulo, Valerio, Meyer, Clemens, Ravuri, Suman, Protsyuk, Ivan, Connell, Alistair, Hughes, Cían O., Karthikesalingam, Alan, Cornebise, Julien, Montgomery, Hugh, Rees, Geraint, Laing, Chris, Baker, Clifton R., Osborne, Thomas F., Reeves, Ruth, Hassabis, Demis, King, Dominic, Suleyman, Mustafa, Back, Trevor, Nielson, Christopher, Seneviratne, Martin G., Ledsam, Joseph R., Mohamed, Shakir

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Automated analysis of retinal imaging using machine learning techniques for computer vision [version 1; peer review: 2 approved] von De Fauw, Jeffrey, Keane, Pearse, Tomasev, Nenad, Visentin, Daniel, van den Driessche, George, Johnson, Mike, Hughes, Cian O, Chu, Carlton, Ledsam, Joseph, Back, Trevor, Peto, Tunde, Rees, Geraint, Montgomery, Hugh, Raine, Rosalind, Ronneberger, Olaf, Cornebise, Julien

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TacticAI: an AI assistant for football tactics von Wang, Zhe, Veličković, Petar, Hennes, Daniel, Tomašev, Nenad, Prince, Laurel, Kaisers, Michael, Bachrach, Yoram, Elie, Romuald, Wenliang, Li Kevin, Piccinini, Federico, Spearman, William, Graham, Ian, Connor, Jerome, Yang, Yi, Recasens, Adrià, Khan, Mina, Beauguerlange, Nathalie, Sprechmann, Pablo, Moreno, Pol, Heess, Nicolas, Bowling, Michael, Hassabis, Demis, Tuyls, Karl

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