Nenad Tomašev

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All published works
Action Title Year Authors
+ PDF Chat Mastering Board Games by External and Internal Planning with Language Models 2024 John Schultz
Jakub Adamek
Matej Jusup
Marc Lanctot
Michael Kaisers
Sarah Perrin
Daniel Hennes
Jeremy Shar
Chad Y. Lewis
Anian Ruoss
+ PDF Chat The unknotting number, hard unknot diagrams, and reinforcement learning 2024 Taylor Applebaum
Sam Blackwell
Alex Davies
Thomas Edlich
András Juhász
Marc Lackenby
Nenad Tomašev
Daniel Zheng
+ PDF Chat Contextual Evaluation of Large Language Models for Classifying Tropical and Infectious Diseases 2024 Mercy Asiedu
Nenad Tomašev
Chintan Ghate
Tiya Tiyasirichokchai
Awa Dieng
O. M. Akande
Geoffrey Siwo
Steve Adudans
Sylvanus Aitkins
Odianosen Ehiakhamen
+ PDF Chat The signature and cusp geometry of hyperbolic knots 2024 Alex Davies
András Juhász
Marc Lackenby
Nenad Tomašev
+ PDF Chat Capabilities of Gemini Models in Medicine 2024 Khaled Saab
Tao Tu
Wei‐Hung Weng
Ryutaro Tanno
David Stutz
Ellery Wulczyn
Fan Zhang
Tim Strother
Chunjong Park
Elahe Vedadi
+ PDF Chat The Ethics of Advanced AI Assistants 2024 Iason Gabriel
Arianna Manzini
Geoff Keeling
Lisa Anne Hendricks
Verena Rieser
Hasan Iqbal
Nenad Tomašev
Sofia Ira Ktena
Zachary Kenton
M. Balsa Rodríguez
+ PDF Chat A Toolbox for Surfacing Health Equity Harms and Biases in Large Language Models 2024 Stephen Pfohl
Heather Cole-Lewis
Rory Sayres
Darlene Neal
Mercy Asiedu
Awa Dieng
Nenad Tomašev
Qazi Mamunur Rashid
Shekoofeh Azizi
Negar Rostamzadeh
+ Towards Conversational Diagnostic AI 2024 Tao Tu
Anil Palepu
Mike Schaekermann
Khaled Saab
Jan Freyberg
Ryutaro Tanno
Amy Wang
Brenna Li
Mohamed Amin
Nenad Tomašev
+ PDF Chat Detecting shortcut learning for fair medical AI using shortcut testing 2023 Alexander Brown
Nenad Tomašev
Jan Freyberg
Yuan Liu
Alan Karthikesalingam
Jessica Schrouff
+ SemPPL: Predicting pseudo-labels for better contrastive representations 2023 Matko Bošnjak
Pierre H. Richemond
Nenad Tomašev
Florian Strub
Jacob C. Walker
Felix Hill
Lars Buesing
Razvan Pascanu
Charles Blundell
Jovana Mitrovic
+ Towards Expert-Level Medical Question Answering with Large Language Models 2023 Karan Singhal
Tao Tu
Juraj Gottweis
Rory Sayres
Ellery Wulczyn
Le Hou
Kevin Clark
Stephen Pfohl
Heather Cole-Lewis
Darlene Neal
+ Diversifying AI: Towards Creative Chess with AlphaZero 2023 Tom Zahavy
Vivek Veeriah
Shaobo Hou
Kevin Waugh
Matthew Lai
Edouard Leurent
Nenad Tomašev
Lisa Schut
Demis Hassabis
Satinder Singh
+ TacticAI: an AI assistant for football tactics 2023 Zhe Wang
Petar Veličković
Daniel Hennes
Nenad Tomašev
Laurel Prince
Michael Kaisers
Yoram Bachrach
Romuald Élie
Li Kevin Wenliang
Federico Piccinini
+ Bridging the Human-AI Knowledge Gap: Concept Discovery and Transfer in AlphaZero 2023 Lisa Schut
Nenad Tomašev
Tom McGrath
Demis Hassabis
Ulrich Paquet
Been Kim
+ Gemini: A Family of Highly Capable Multimodal Models 2023 Gemini Team
Rohan Anil
Sebastian Borgeaud
Jean-Baptiste Alayrac
Jiahui Yu
Radu Soricut
Johan Schalkwyk
Andrew M. Dai
Anja Hauth
Katie Millican
+ Acquisition of chess knowledge in AlphaZero 2022 Thomas McGrath
Andrei Kapishnikov
Nenad Tomašev
Adam Pearce
Martin Wattenberg
Demis Hassabis
Been Kim
Ulrich Paquet
Vladimir Kramnik
+ PDF Chat Authors’ Reply to the Discussion of ‘Efficient Bayesian Inference of Instantaneous Reproduction Numbers at Fine Spatial Scales, with an Application to Mapping and Nowcasting the Covid-19 Epidemic in British Local Authorities’ by Teh et al. in Session 2 of the Royal Statistical Society’s Special Topic Meeting on COVID-19 Transmission: 11 June 2021 2022 Yee Whye Teh
Bryn Elesedy
Bobby He
Michael Hutchinson
Sheheryar Zaidi
Avishkar Bhoopchand
Ulrich Paquet
Nenad Tomašev
Jonathan M. Read
Peter J. Diggle
+ PDF Chat Efficient Bayesian inference of Instantaneous Reproduction Numbers at Fine Spatial Scales, with an Application to Mapping and Nowcasting the Covid-19 Epidemic in British Local Authorities 2022 Yee Whye Teh
Bryn Elesedy
Bobby He
Michael Hutchinson
Sheheryar Zaidi
Avishkar Bhoopchand
Ulrich Paquet
Nenad Tomašev
Jonathan M. Read
Peter J. Diggle
+ Pushing the limits of self-supervised ResNets: Can we outperform supervised learning without labels on ImageNet? 2022 Nenad Tomašev
Ioana Bica
Brian McWilliams
Lars Buesing
Razvan Pascanu
Charles Blundell
Jovana Mitrovic
+ Disability prediction in multiple sclerosis using performance outcome measures and demographic data 2022 Subhrajit Roy
Diana Mincu
Lev Proleev
Negar Rostamzadeh
Chintan Ghate
Natalie Harris
Christina Chen
Jessica Schrouff
Nenad Tomašev
Fletcher Lee Hartsell
+ Detecting Shortcut Learning for Fair Medical AI using Shortcut Testing 2022 A. G. A. Brown
Nenad Tomašev
Jan Freyberg
Yuan Liu
Alan Karthikesalingam
Jessica Schrouff
+ Active Acquisition for Multimodal Temporal Data: A Challenging Decision-Making Task 2022 Jannik Kossen
Cătălina Cangea
Eszter Vértes
Andrew Jaegle
Viorica Pătrăucean
Sofia Ira Ktena
Nenad Tomašev
Danielle Belgrave
+ Manifestations of Xenophobia in AI Systems 2022 Nenad Tomašev
Jonathan Leader Maynard
Iason Gabriel
+ Large Language Models Encode Clinical Knowledge 2022 Karan Singhal
Shekoofeh Azizi
Tao Tu
S. Sara Mahdavi
Jason Lee
Hyung Won Chung
Nathan Scales
Ajay Kumar Tanwani
Heather Cole-Lewis
Stephen Pfohl
+ PDF Chat Advancing mathematics by guiding human intuition with AI 2021 Alex Davies
Petar Veličković
Lars Buesing
Sam Blackwell
Daniel Zheng
Nenad Tomašev
Richard Tanburn
Peter Battaglia
Charles Blundell
András Juhász
+ Fairness for Unobserved Characteristics: Insights from Technological Impacts on Queer Communities 2021 Nenad Tomašev
Kevin R. McKee
Jackie Kay
Shakir Mohamed
+ Concept-based model explanations for electronic health records 2021 Diana Mincu
Eric Loreaux
Shaobo Hou
Sebastien Baur
Ivan Protsyuk
Martin Seneviratne
Anne Mottram
Nenad Tomašev
Alan Karthikesalingam
Jessica Schrouff
+ The signature and cusp geometry of hyperbolic knots 2021 Alex Davies
András Juhász
Marc Lackenby
Nenad Tomašev
+ Acquisition of Chess Knowledge in AlphaZero 2021 Thomas McGrath
Andrei Kapishnikov
Nenad Tomašev
Adam Pearce
Demis Hassabis
Been Kim
Ulrich Paquet
Vladimir Kramnik
+ Assessing Game Balance with AlphaZero: Exploring Alternative Rule Sets in Chess 2020 Nenad Tomašev
Ulrich Paquet
Demis Hassabis
Vladimir Kramnik
+ PDF Chat AI for social good: unlocking the opportunity for positive impact 2020 Nenad Tomašev
Julien Cornebise
Frank Hutter
Shakir Mohamed
Angela Picciariello
Bec Connelly
Danielle Belgrave
Daphne Ezer
Fanny Cachat van der Haert
Frank Mugisha
+ Assessing Game Balance with AlphaZero: Exploring Alternative Rule Sets in Chess 2020 Nenad Tomašev
Ulrich Paquet
Demis Hassabis
Vladimir Kramnik
Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ Axiomatic Attribution for Deep Networks 2017 Mukund Sundararajan
Ankur Taly
Qiqi Yan
2
+ PDF Chat Estimating the effects of non-pharmaceutical interventions on COVID-19 in Europe 2020 Seth Flaxman
Swapnil Mishra
Axel Gandy
H. Juliette T. Unwin
Thomas A. Mellan
Helen Coupland
Charles Whittaker
Harrison Zhu
Tresnia Berah
Jeffrey W. Eaton
2
+ Interpretability Beyond Feature Attribution: Quantitative Testing with Concept Activation Vectors (TCAV) 2017 Been Kim
Martin Wattenberg
Justin Gilmer
Carrie J. Cai
James Wexler
Fernanda Viégas
Rory Sayres
2
+ PDF Chat Learning to Play the Chess Variant Crazyhouse Above World Champion Level With Deep Neural Networks and Human Data 2020 Johannes Czech
Moritz Willig
Alena Beyer
Kristian Kersting
Johannes Fürnkranz
2
+ Explaining Classifiers with Causal Concept Effect (CaCE) 2019 Yash Goyal
Amir Feder
Uri Shalit
Been Kim
2
+ PDF Chat Word hyperbolic Dehn surgery 2000 Marc Lackenby
1
+ PDF Chat Boundary slopes of immersed surfaces in 3-manifolds 1999 Joel Hass
J Rubinstein
Shicheng Wang
1
+ None 1997 Rinat Kashaev
1
+ Special matchings and Kazhdan–Lusztig polynomials 2005 Francesco Brenti
Fabrizio Caselli
Mario Marietti
1
+ PDF Chat Estimating Individual and Household Reproduction Numbers in an Emerging Epidemic 2007 Christophe Fraser
1
+ PDF Chat The maximal number of exceptional Dehn surgeries 2012 Marc Lackenby
Robert Meyerhoff
1
+ PDF Chat Thick triangulations of hyperbolic<i>n</i>-manifolds 2009 William Breslin
1
+ PDF Chat From moment graphs to intersection cohomology 2001 Robert MacPherson
Tom Braden
1
+ PDF Chat Three dimensional manifolds, Kleinian groups and hyperbolic geometry 1982 William P. Thurston
1
+ PDF Chat Dehn surgery and negatively curved 3-manifolds 1998 Daryl Cooper
Marc Lackenby
1
+ PDF Chat A New Framework and Software to Estimate Time-Varying Reproduction Numbers During Epidemics 2013 Anne Cori
Neil M. Ferguson
Christophe Fraser
Simon Cauchemez
1
+ The orientable cusped hyperbolic 3-manifolds of minimum volume 2001 Chun Cao
G. Robert Meyerhoff
1
+ PDF Chat Structure of certain induced representations of complex semisimple Lie algebras 1968 Daya-Nand Verma
1
+ PDF Chat Fairness through awareness 2012 Cynthia Dwork
Moritz Hardt
Toniann Pitassi
Omer Reingold
Richard S. Zemel
1
+ PDF Chat Different Epidemic Curves for Severe Acute Respiratory Syndrome Reveal Similar Impacts of Control Measures 2004 Jacco Wallinga
1
+ Kazhdan-Lusztig polynomials: History Problems, and Combinatorial Invariance 2003 Francesco Brenti
1
+ Cuts in Bayesian graphical models 2014 Martyn Plummer
1
+ PDF Chat Patterns in Knot Cohomology, I 2003 Mikhail Khovanov
1
+ Notes on elliptic curves. II. 1965 B. J. Birch
H. P. F. Swinnerton-Dyer
1
+ Learning to Diagnose with LSTM Recurrent Neural Networks 2015 Zachary C. Lipton
David C. Kale
Charles Elkan
Randall C. Wetzel
1
+ Equivalence Classes for the μ-Coefficient of Kazhdan–Lusztig Polynomials in<i>S<sub>n</sub></i> 2011 Gregory S. Warrington
1
+ Nouvelles applications des paramètres continus à la théorie des formes quadratiques. Premier mémoire. Sur quelques propriétés des formes quadratiques positives parfaites. 1908 Georges Voronoï
1
+ PDF Chat Deep Residual Learning for Image Recognition 2016 Kaiming He
Xiangyu Zhang
Shaoqing Ren
Jian Sun
1
+ PDF Chat A Reinforcement Learning System to Encourage Physical Activity in Diabetes Patients. 2016 Irit Hochberg
Guy Feraru
Mark Kozdoba
Shie Mannor
Moshe Tennenholtz
Elad Yom‐Tov
1
+ RETAIN: An Interpretable Predictive Model for Healthcare using Reverse Time Attention Mechanism 2016 Edward Choi
Mohammad Taha Bahadori
Joshua A. Kulas
Andy Schuetz
Walter F. Stewart
Jimeng Sun
1
+ Towards A Rigorous Science of Interpretable Machine Learning 2017 Finale Doshi‐Velez
Been Kim
1
+ PDF Chat Multi-level computational methods for interdisciplinary research in the HathiTrust Digital Library 2017 J. William Murdock
Colin Allen
Katy Börner
Robert P. Light
Simon McAlister
Andrew Ravenscroft
Robert J. Rose
Doori Rose
Jun Otsuka
David Bourget
1
+ Quasi-conformal mappings inn-space and the rigidity of hyperbolic space forms 1968 G. D. Mostow
1
+ PDF Chat <i>Stan</i>: A Probabilistic Programming Language 2017 Bob Carpenter
Andrew Gelman
Matthew D. Hoffman
Daniel C. Lee
Ben Goodrich
Michael Betancourt
Marcus A. Brubaker
Jiqiang Guo
Peter Li
Allen Riddell
1
+ Towards Deep Symbolic Reinforcement Learning 2016 Marta Garnelo
Kai Arulkumaran
Murray Shanahan
1
+ Network Dissection: Quantifying Interpretability of Deep Visual Representations 2017 David Bau
Bolei Zhou
Aditya Khosla
Aude Oliva
Antonio Torralba
1
+ Hybrid reward architecture for reinforcement learning 2017 Harm van Seijen
Mehdi Fatemi
Joshua Romoff
Romain Laroche
Tavian Barnes
Jeffrey Tsang
1
+ An Improved Multi-Output Gaussian Process RNN with Real-Time Validation for Early Sepsis Detection 2017 Joseph Futoma
Sanjay Hariharan
Mark Sendak
Nathan Brajer
Meredith E. Clement
Armando Bedoya
Cara O’Brien
Katherine Heller
1
+ PDF Chat Prediction of cardiovascular risk factors from retinal fundus photographs via deep learning 2018 Ryan Poplin
Avinash V. Varadarajan
Katy Blumer
Yun Liu
Michael V. McConnell
Greg S. Corrado
Lily Peng
Dale R. Webster
1
+ Counterfactual Fairness 2017 Matt J. Kusner
Joshua R. Loftus
Chris Russell
Ricardo Silva
1
+ The (Un)reliability of saliency methods 2017 Pieter-Jan Kindermans
Sara Hooker
Julius Adebayo
Maximilian Alber
Kristof T. Schütt
Sven Dähne
Dumitru Erhan
Been Kim
1
+ Attend and Diagnose: Clinical Time Series Analysis using Attention Models 2017 Huan Song
Deepta Rajan
Jayaraman J. Thiagarajan
Andreas Spanias
1
+ A unified view of gradient-based attribution methods for Deep Neural Networks 2017 Marco Ancona
Enea Ceolini
Cengiz Öztireli
Markus Groß
1
+ PDF Chat Deep neural networks are more accurate than humans at detecting sexual orientation from facial images. 2018 Yilun Wang
Michał Kosiński
1
+ Effective distance between nested Margulis tubes 2018 David Futer
Jessica S. Purcell
Saul Schleimer
1
+ PDF Chat Slopes and signatures of links 2022 Alex Degtyarev
Vincent Florens
Ana G. Lecuona
1
+ PDF Chat Cell Phones ≠ Self and Other Problems with Big Data Detection and Containment during Epidemics 2018 Susan L. Erikson
1
+ Fairness Through Computationally-Bounded Awareness 2018 Michael P. Kim
Omer Reingold
Guy N. Rothblum
1
+ Towards Symbolic Reinforcement Learning with Common Sense 2018 Artur S. d’Avila Garcez
Aimore Resende Riquetti Dutra
Eduardo Alonso
1
+ Positive matrix factorization: A non‐negative factor model with optimal utilization of error estimates of data values 1994 Pentti Paatero
Unto Tapper
1