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ORCIDNenad Tomasev
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- affiliation: DeepMind, UK
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2020 – today
- 2024
[i26]Tao Tu, Anil Palepu, Mike Schaekermann, Khaled Saab, Jan Freyberg, Ryutaro Tanno, Amy Wang, Brenna Li, Mohamed Amin, Nenad Tomasev, Shekoofeh Azizi, Karan Singhal, Yong Cheng, Le Hou, Albert Webson, Kavita Kulkarni, S. Sara Mahdavi, Christopher Semturs, Juraj Gottweis, Joelle K. Barral, Katherine Chou, Gregory S. Corrado, Yossi Matias, Alan Karthikesalingam, Vivek Natarajan:
Towards Conversational Diagnostic AI. CoRR abs/2401.05654 (2024)- [i25]Stephen R. Pfohl, Heather Cole-Lewis, Rory Sayres, Darlene Neal, Mercy Nyamewaa Asiedu, Awa Dieng, Nenad Tomasev, Qazi Mamunur Rashid, Shekoofeh Azizi, Negar Rostamzadeh, Liam G. McCoy, Leo Anthony Celi, Yun Liu, Mike Schaekermann, Alanna Walton, Alicia Parrish, Chirag Nagpal, Preeti Singh, Akeiylah Dewitt, Philip Andrew Mansfield, Sushant Prakash, Katherine A. Heller, Alan Karthikesalingam, Christopher Semturs, Joelle K. Barral, Greg Corrado, Yossi Matias, Jamila Smith-Loud, Ivor Horn, Karan Singhal:
A Toolbox for Surfacing Health Equity Harms and Biases in Large Language Models. CoRR abs/2403.12025 (2024) - [i24]Iason Gabriel, Arianna Manzini, Geoff Keeling, Lisa Anne Hendricks, Verena Rieser, Hasan Iqbal, Nenad Tomasev, Ira Ktena, Zachary Kenton, Mikel Rodriguez, Seliem El-Sayed, Sasha Brown, Canfer Akbulut, Andrew Trask, Edward Hughes, A. Stevie Bergman, Renee Shelby, Nahema Marchal, Conor Griffin, Juan Mateos-Garcia, Laura Weidinger, Winnie Street, Benjamin Lange, Alex Ingerman, Alison Lentz, Reed Enger, Andrew Barakat, Victoria Krakovna, John Oliver Siy, Zeb Kurth-Nelson, Amanda McCroskery, Vijay Bolina, Harry Law, Murray Shanahan, Lize Alberts, Borja Balle, Sarah de Haas, Yetunde Ibitoye, Allan Dafoe, Beth Goldberg, Sébastien Krier, Alexander Reese, Sims Witherspoon, Will Hawkins, Maribeth Rauh, Don Wallace, Matija Franklin, Josh A. Goldstein, Joel Lehman, Michael Klenk, Shannon Vallor, Courtney Biles, Meredith Ringel Morris, Helen King, Blaise Agüera y Arcas, William Isaac, James Manyika:
The Ethics of Advanced AI Assistants. CoRR abs/2404.16244 (2024) - [i23]Khaled Saab, Tao Tu, Wei-Hung Weng, Ryutaro Tanno, David Stutz, Ellery Wulczyn, Fan Zhang, Tim Strother, Chunjong Park, Elahe Vedadi, Juanma Zambrano Chaves, Szu-Yeu Hu, Mike Schaekermann, Aishwarya Kamath, Yong Cheng, David G. T. Barrett, Cathy Cheung, Basil Mustafa, Anil Palepu, Daniel McDuff, Le Hou, Tomer Golany, Luyang Liu, Jean-Baptiste Alayrac, Neil Houlsby, Nenad Tomasev, Jan Freyberg, Charles Lau, Jonas Kemp, Jeremy Lai, Shekoofeh Azizi, Kimberly Kanada, SiWai Man, Kavita Kulkarni, Ruoxi Sun, Siamak Shakeri, Luheng He, Benjamin Caine, Albert Webson, Natasha Latysheva, Melvin Johnson, Philip Andrew Mansfield, Jian Lu, Ehud Rivlin, Jesper Anderson, Bradley Green, Renee Wong, Jonathan Krause, Jonathon Shlens, Ewa Dominowska, S. M. Ali Eslami, Katherine Chou, Claire Cui, Oriol Vinyals, Koray Kavukcuoglu, James Manyika, Jeff Dean, Demis Hassabis, Yossi Matias, Dale R. Webster, Joelle K. Barral, Greg Corrado, Christopher Semturs, S. Sara Mahdavi, Juraj Gottweis, Alan Karthikesalingam, Vivek Natarajan:
Capabilities of Gemini Models in Medicine. CoRR abs/2404.18416 (2024) - [i22]Yasin Abbasi-Yadkori, Ilja Kuzborskij, David Stutz, András György, Adam Fisch, Arnaud Doucet, Iuliya Beloshapka, Wei-Hung Weng, Yao-Yuan Yang, Csaba Szepesvári, Ali Taylan Cemgil, Nenad Tomasev:
Mitigating LLM Hallucinations via Conformal Abstention. CoRR abs/2405.01563 (2024) - [i21]Jennifer Chien, A. Stevie Bergman, Kevin R. McKee, Nenad Tomasev, Vinodkumar Prabhakaran, Rida Qadri, Nahema Marchal, William Isaac:
(Unfair) Norms in Fairness Research: A Meta-Analysis. CoRR abs/2407.16895 (2024) - [i20]Taylor Applebaum, Sam Blackwell, Alex Davies, Thomas Edlich, András Juhász, Marc Lackenby, Nenad Tomasev, Daniel Zheng:
The unknotting number, hard unknot diagrams, and reinforcement learning. CoRR abs/2409.09032 (2024) - [i19]Mercy Nyamewaa Asiedu, Nenad Tomasev, Chintan Ghate, Tiya Tiyasirichokchai, Awa Dieng, Oluwatosin Akande, Geoffrey Siwo, Steve Adudans, Sylvanus Aitkins, Odianosen Ehiakhamen, Eric Ndombi, Katherine A. Heller:
Contextual Evaluation of Large Language Models for Classifying Tropical and Infectious Diseases. CoRR abs/2409.09201 (2024) - 2023
- [j15]Jannik Kossen, Catalina Cangea, Eszter Vértes, Andrew Jaegle, Viorica Patraucean, Ira Ktena, Nenad Tomasev, Danielle Belgrave:
Active Acquisition for Multimodal Temporal Data: A Challenging Decision-Making Task. Trans. Mach. Learn. Res. 2023 (2023) - [c21]Matko Bosnjak, Pierre Harvey Richemond, Nenad Tomasev, Florian Strub, Jacob C. Walker, Felix Hill, Lars Holger Buesing, Razvan Pascanu, Charles Blundell, Jovana Mitrovic:
SemPPL: Predicting Pseudo-Labels for Better Contrastive Representations. ICLR 2023 - [i18]Matko Bosnjak, Pierre H. Richemond, Nenad Tomasev, Florian Strub, Jacob C. Walker, Felix Hill, Lars Holger Buesing, Razvan Pascanu, Charles Blundell, Jovana Mitrovic:
SemPPL: Predicting pseudo-labels for better contrastive representations. CoRR abs/2301.05158 (2023) - [i17]Karan Singhal, Tao Tu, Juraj Gottweis, Rory Sayres, Ellery Wulczyn, Le Hou, Kevin Clark, Stephen Pfohl, Heather Cole-Lewis, Darlene Neal, Mike Schaekermann, Amy Wang, Mohamed Amin, Sami Lachgar, Philip Andrew Mansfield, Sushant Prakash, Bradley Green, Ewa Dominowska, Blaise Agüera y Arcas, Nenad Tomasev, Yun Liu
, Renee Wong, Christopher Semturs, S. Sara Mahdavi, Joelle K. Barral, Dale R. Webster, Gregory S. Corrado, Yossi Matias, Shekoofeh Azizi, Alan Karthikesalingam, Vivek Natarajan:
Towards Expert-Level Medical Question Answering with Large Language Models. CoRR abs/2305.09617 (2023) - [i16]Tom Zahavy, Vivek Veeriah, Shaobo Hou, Kevin Waugh, Matthew Lai, Edouard Leurent, Nenad Tomasev, Lisa Schut, Demis Hassabis, Satinder Singh:
Diversifying AI: Towards Creative Chess with AlphaZero. CoRR abs/2308.09175 (2023) - [i15]Zhe Wang, Petar Velickovic, Daniel Hennes, Nenad Tomasev, Laurel Prince, Michael Kaisers, Yoram Bachrach, Romuald Elie, Li Kevin Wenliang, Federico Piccinini, William Spearman, Ian Graham, Jerome T. Connor, Yi Yang, Adrià Recasens, Mina Khan, Nathalie Beauguerlange, Pablo Sprechmann, Pol Moreno, Nicolas Heess, Michael Bowling, Demis Hassabis, Karl Tuyls:
TacticAI: an AI assistant for football tactics. CoRR abs/2310.10553 (2023) - [i14]Lisa Schut, Nenad Tomasev, Tom McGrath, Demis Hassabis, Ulrich Paquet, Been Kim:
Bridging the Human-AI Knowledge Gap: Concept Discovery and Transfer in AlphaZero. CoRR abs/2310.16410 (2023) - 2022
- [j14]Nenad Tomasev, Ulrich Paquet, Demis Hassabis, Vladimir Kramnik:
Reimagining chess with AlphaZero. Commun. ACM 65(2): 60-66 (2022) - [c20]Subhrajit Roy, Diana Mincu, Lev Proleev, Negar Rostamzadeh, Chintan Ghate, Natalie Harris, Christina Chen, Jessica Schrouff, Nenad Tomasev, Fletcher Lee Hartsell, Katherine A. Heller:
Disability prediction in multiple sclerosis using performance outcome measures and demographic data. CHIL 2022: 375-396 - [i13]Nenad Tomasev, Ioana Bica, Brian McWilliams, Lars Buesing, Razvan Pascanu, Charles Blundell, Jovana Mitrovic:
Pushing the limits of self-supervised ResNets: Can we outperform supervised learning without labels on ImageNet? CoRR abs/2201.05119 (2022) - [i12]Subhrajit Roy, Diana Mincu, Lev Proleev, Negar Rostamzadeh, Chintan Ghate, Natalie Harris, Christina Chen, Jessica Schrouff, Nenad Tomasev, Fletcher Lee Hartsell, Katherine A. Heller:
Disability prediction in multiple sclerosis using performance outcome measures and demographic data. CoRR abs/2204.03969 (2022) - [i11]Alexander Brown, Nenad Tomasev, Jan Freyberg, Yuan Liu, Alan Karthikesalingam, Jessica Schrouff:
Detecting and Preventing Shortcut Learning for Fair Medical AI using Shortcut Testing (ShorT). CoRR abs/2207.10384 (2022) - [i10]Jannik Kossen, Catalina Cangea, Eszter Vértes, Andrew Jaegle, Viorica Patraucean, Ira Ktena, Nenad Tomasev, Danielle Belgrave:
Active Acquisition for Multimodal Temporal Data: A Challenging Decision-Making Task. CoRR abs/2211.05039 (2022) - [i9]Nenad Tomasev, Jonathan Leader Maynard, Iason Gabriel:
Manifestations of Xenophobia in AI Systems. CoRR abs/2212.07877 (2022) - [i8]Karan Singhal, Shekoofeh Azizi, Tao Tu, S. Sara Mahdavi, Jason Wei, Hyung Won Chung, Nathan Scales, Ajay Kumar Tanwani, Heather Cole-Lewis, Stephen Pfohl, Perry Payne, Martin Seneviratne, Paul Gamble, Chris Kelly, Nathaneal Schärli, Aakanksha Chowdhery, Philip Andrew Mansfield, Blaise Agüera y Arcas, Dale R. Webster, Gregory S. Corrado, Yossi Matias, Katherine Chou, Juraj Gottweis, Nenad Tomasev, Yun Liu, Alvin Rajkomar, Joelle K. Barral, Christopher Semturs, Alan Karthikesalingam, Vivek Natarajan:
Large Language Models Encode Clinical Knowledge. CoRR abs/2212.13138 (2022) - 2021
- [j13]Subhrajit Roy, Diana Mincu, Eric Loreaux, Anne Mottram, Ivan Protsyuk, Natalie Harris, Yuan Xue, Jessica Schrouff, Hugh Montgomery, Alistair Connell, Nenad Tomasev, Alan Karthikesalingam, Martin Seneviratne:
Multitask prediction of organ dysfunction in the intensive care unit using sequential subnetwork routing. J. Am. Medical Informatics Assoc. 28(9): 1936-1946 (2021) - [j12]Alex Davies, Petar Velickovic, Lars Buesing, Sam Blackwell, Daniel Zheng, Nenad Tomasev, Richard Tanburn, Peter W. Battaglia, Charles Blundell, András Juhász, Marc Lackenby, Geordie Williamson, Demis Hassabis, Pushmeet Kohli:
Advancing mathematics by guiding human intuition with AI. Nat. 600(7887): 70-74 (2021) - [c19]Nenad Tomasev, Kevin R. McKee, Jackie Kay, Shakir Mohamed:
Fairness for Unobserved Characteristics: Insights from Technological Impacts on Queer Communities. AIES 2021: 254-265 - [c18]Diana Mincu, Eric Loreaux, Shaobo Hou, Sebastien Baur, Ivan Protsyuk, Martin Seneviratne, Anne Mottram, Nenad Tomasev, Alan Karthikesalingam, Jessica Schrouff:
Concept-based model explanations for electronic health records. CHIL 2021: 36-46 - [i7]Nenad Tomasev, Kevin R. McKee, Jackie Kay, Shakir Mohamed:
Fairness for Unobserved Characteristics: Insights from Technological Impacts on Queer Communities. CoRR abs/2102.04257 (2021) - [i6]Thomas McGrath, Andrei Kapishnikov, Nenad Tomasev, Adam Pearce, Demis Hassabis, Been Kim, Ulrich Paquet, Vladimir Kramnik:
Acquisition of Chess Knowledge in AlphaZero. CoRR abs/2111.09259 (2021) - [i5]Alex Davies, András Juhász, Marc Lackenby, Nenad Tomasev:
The signature and cusp geometry of hyperbolic knots. CoRR abs/2111.15323 (2021) - 2020
- [i4]Nenad Tomasev, Ulrich Paquet, Demis Hassabis, Vladimir Kramnik:
Assessing Game Balance with AlphaZero: Exploring Alternative Rule Sets in Chess. CoRR abs/2009.04374 (2020) - [i3]Sebastien Baur, Shaobo Hou, Eric Loreaux, Diana Mincu, Anne Mottram, Ivan Protsyuk, Nenad Tomasev, Martin G. Seneviratne, Alan Karthikesalingam, Jessica Schrouff:
Concept-based model explanations for Electronic Health Records. CoRR abs/2012.02308 (2020)
2010 – 2019
- 2017
- [j11]Nenad Tomasev:
Extracting the patterns of truthfulness from political information systems in Serbia. Inf. Syst. Frontiers 19(1): 109-127 (2017) - 2016
- [j10]Nenad Tomasev, Krisztián Búza, Dunja Mladenic:
Correcting the hub occurrence prediction bias in many dimensions. Comput. Sci. Inf. Syst. 13(1): 1-21 (2016) - [i2]Jeffrey De Fauw, Pearse A. Keane, Nenad Tomasev, Daniel Visentin, George van den Driessche, Mike Johnson, Cían Hughes, Carlton Chu, Joseph R. Ledsam, Trevor Back, Tunde Peto, Geraint Rees, Hugh Montgomery, Rosalind Raine, Olaf Ronneberger, Julien Cornebise:
Automated analysis of retinal imaging using machine learning techniques for computer vision. F1000Research 5: 1573 (2016) - [i1]Carlton Chu, Jeffrey De Fauw, Nenad Tomasev, Bernardino Romera-Paredes, Cían Hughes, Joseph R. Ledsam, Trevor Back, Hugh Montgomery, Geraint Rees, Rosalind Raine, Kevin Sullivan, Syed Ali Moinuddin, Derek D'Souza, Olaf Ronneberger, Ruheena Mendes, Julien Cornebise:
Applying machine learning to automated segmentation of head and neck tumour volumes and organs at risk on radiotherapy planning CT and MRI scans. F1000Research 5: 2104 (2016) - 2015
- [j9]Nenad Tomasev, Krisztián Búza:
Hubness-aware kNN classification of high-dimensional data in presence of label noise. Neurocomputing 160: 157-172 (2015) - [j8]Nenad Tomasev, Dunja Mladenic:
Image hub explorer: evaluating representations and metrics for content-based image retrieval and object recognition. Multim. Tools Appl. 74(24): 11653-11682 (2015) - [c17]Nenad Tomasev:
Taming the Empirical Hubness Risk in Many Dimensions. SDM 2015: 891-899 - [p1]Nenad Tomasev, Krisztián Búza, Kristóf Marussy, Piroska B. Kis:
Hubness-Aware Classification, Instance Selection and Feature Construction: Survey and Extensions to Time-Series. Feature Selection for Data and Pattern Recognition 2015: 231-262 - 2014
- [j7]Nenad Tomasev:
The Role Of Hubness in High-dimensional Data Analysis. Informatica (Slovenia) 38(4) (2014) - [j6]Nenad Tomasev, Dunja Mladenic:
Hubness-aware shared neighbor distances for high-dimensional $$k$$ -nearest neighbor classification. Knowl. Inf. Syst. 39(1): 89-122 (2014) - [j5]Nenad Tomasev, Milos Radovanovic, Dunja Mladenic, Mirjana Ivanovic:
Hubness-based fuzzy measures for high-dimensional k-nearest neighbor classification. Int. J. Mach. Learn. Cybern. 5(3): 445-458 (2014) - [j4]Nenad Tomasev, Milos Radovanovic, Dunja Mladenic, Mirjana Ivanovic:
The Role of Hubness in Clustering High-Dimensional Data. IEEE Trans. Knowl. Data Eng. 26(3): 739-751 (2014) - [c16]Dominik Schnitzer, Arthur Flexer, Nenad Tomasev:
A Case for Hubness Removal in High-Dimensional Multimedia Retrieval. ECIR 2014: 687-692 - [c15]Nenad Tomasev:
Boosting for Vote Learning in High-Dimensional kNN Classification. ICDM Workshops 2014: 676-683 - 2013
- [j3]Nenad Tomasev, Dunja Mladenic:
Class imbalance and the curse of minority hubs. Knowl. Based Syst. 53: 157-172 (2013) - [c14]Nenad Tomasev, Gregor Leban, Dunja Mladenic:
Exploiting hubs for self-adaptive secondary re-ranking in bug report duplicate detection. ITI 2013: 131-136 - [c13]Nenad Tomasev, Jan Rupnik, Dunja Mladenic:
The Role of Hubs in Cross-Lingual Supervised Document Retrieval. PAKDD (2) 2013: 185-196 - [c12]Nenad Tomasev, Dunja Mladenic:
Image Hub Explorer: Evaluating Representations and Metrics for Content-Based Image Retrieval and Object Recognition. ECML/PKDD (3) 2013: 637-640 - [c11]Nenad Tomasev, Dunja Mladenic:
Hub Co-occurrence Modeling for Robust High-Dimensional kNN Classification. ECML/PKDD (2) 2013: 643-659 - 2012
- [j2]Nenad Tomasev, Dunja Mladenic:
Nearest neighbor voting in high dimensional data: Learning from past occurrences. Comput. Sci. Inf. Syst. 9(2): 691-712 (2012) - [c10]Nenad Tomasev, Dunja Mladenic:
Hubness-Aware Shared Neighbor Distances for High-Dimensional k-Nearest Neighbor Classification. HAIS (2) 2012: 116-127 - 2011
- [c9]Nenad Tomasev, Milos Radovanovic, Dunja Mladenic, Mirjana Ivanovic:
A probabilistic approach to nearest-neighbor classification: naive hubness bayesian kNN. CIKM 2011: 2173-2176 - [c8]Nenad Tomasev, Raluca Brehar, Dunja Mladenic, Sergiu Nedevschi:
The influence of hubness on nearest-neighbor methods in object recognition. ICCP 2011: 367-374 - [c7]Nenad Tomasev, Blaz Fortuna, Dunja Mladenic:
OntoGen extension for exploring image collections. ICCP 2011: 375-376 - [c6]Nenad Tomasev, Dunja Mladenic:
Nearest Neighbor Voting in High-Dimensional Data: Learning from Past Occurrences. ICDM Workshops 2011: 1215-1218 - [c5]Nenad Tomasev, Milos Radovanovic, Dunja Mladenic, Mirjana Ivanovic:
Hubness-Based Fuzzy Measures for High-Dimensional k-Nearest Neighbor Classification. MLDM 2011: 16-30 - [c4]Nenad Tomasev, Milos Radovanovic, Dunja Mladenic, Mirjana Ivanovic:
The Role of Hubness in Clustering High-Dimensional Data. PAKDD (1) 2011: 183-195 - 2010
- [j1]Nenad Tomasev, Dunja Mladenic:
Social Network Analysis of Ontology Edit Logs. J. Comput. Inf. Technol. 18(2) (2010)
2000 – 2009
- 2009
- [c3]Nenad Tomasev, Dunja Mladenic:
Semantic web wiki: Social network analysis of page editing. ITI 2009: 505-510 - 2007
- [c2]Doni Pracner, Nenad Tomasev, Milos Radovanovic, Mirjana Ivanovic:
Categorizing Evolved CoreWar Warriors Using EM and Attribute Evaluation. MLDM 2007: 681-693 - [c1]Nenad Tomasev, Doni Pracner, Milos Radovanovic, Mirjana Ivanovic:
Automatic Categorization of Human-Coded and Evolved CoreWar Warriors. PKDD 2007: 589-596
Coauthor Index
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