Sanmi Koyejo

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Russ PoldrackProfessor of Psychology, Stanford UniversityDirección de correo verificada de stanford.edu
Cong XieByteDance Inc.,University of Illinois at Urbana-ChampaignDirección de correo verificada de bytedance.com
Indranil GuptaProfessor, Computer Science, University of Illinois Urbana-ChampaignDirección de correo verificada de illinois.edu
Joydeep Ghosh(Chaired) Professor, ECE Dept., Univ. Texas at Austin; Faculty Dell Med, UT-Comp. Sc., McCombsDirección de correo verificada de utexas.edu
Rajiv KhannaAssistant Prof, PurdueCSDirección de correo verificada de purdue.edu
Krzysztof J. GorgolewskiAnthropicDirección de correo verificada de anthropic.com
James M ShineNeuroimaging Research Fellow, The University of SydneyDirección de correo verificada de sydney.edu.au
Been KimGoogle DeepMindDirección de correo verificada de csail.mit.edu
Craig Moodie, Ph.D.Department of Psychology, Stanford UniversityDirección de correo verificada de stanford.edu
Patrick BissettSenior Research Scientist, Stanford UniversityDirección de correo verificada de stanford.edu
Pradeep RavikumarProfessor, School of Computer Science, Carnegie Mellon UniversityDirección de correo verificada de cs.cmu.edu
Peter T BellUniversity of QueenslandDirección de correo verificada de uq.edu.au
Michael MilhamChild Mind Institute, Nathan Kline InstituteDirección de correo verificada de childmind.org
Joseph T. DevlinProfessor in Cognitive Neuroscience, UCLDirección de correo verificada de ucl.ac.uk
Jason MitchellHarvard UniversityDirección de correo verificada de harvard.edu
Richard SouvenirProfessor of Computer & Information Sciences, Temple UniversityDirección de correo verificada de temple.edu
Jonathan PillowProfessor of Neuroscience, Princeton UniversityDirección de correo verificada de princeton.edu

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Sanmi Koyejo

Assistant Professor, Stanford University

Dirección de correo verificada de stanford.edu - Página principal

Machine Learning Healthcare AI Neuroinformatics


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Advances and open problems in federated learning P Kairouz, HB McMahan, B Avent, A Bellet, M Bennis, AN Bhagoji, ... Foundations and trends® in machine learning 14 (1–2), 1-210, 2021	6498	2021
Examples are not enough, learn to criticize! criticism for interpretability B Kim, R Khanna, OO Koyejo Advances in Neural Information Processing Systems, 2280-2288, 2016	1161	2016
The dynamics of functional brain networks: integrated network states during cognitive task performance JM Shine, PG Bissett, PT Bell, O Koyejo, JH Balsters, KJ Gorgolewski, ... Neuron 92 (2), 544-554, 2016	804	2016
Asynchronous federated optimization C Xie, S Koyejo, I Gupta arXiv preprint arXiv:1903.03934, 2019	770	2019
Toward open sharing of task-based fMRI data: the OpenfMRI project RA Poldrack, DM Barch, JP Mitchell, TD Wager, AD Wagner, JT Devlin, ... Frontiers in neuroinformatics 7, 12, 2013	400	2013
A field guide to federated optimization J Wang, Z Charles, Z Xu, G Joshi, HB McMahan, M Al-Shedivat, G Andrew, ... arXiv preprint arXiv:2107.06917, 2021	381	2021
Are emergent abilities of large language models a mirage? R Schaeffer, B Miranda, S Koyejo Advances in Neural Information Processing Systems 36, 2024	377	2024
DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models. B Wang, W Chen, H Pei, C Xie, M Kang, C Zhang, C Xu, Z Xiong, R Dutta, ... NeurIPS, 2023	316	2023
Zeno: Distributed stochastic gradient descent with suspicion-based fault-tolerance C Xie, S Koyejo, I Gupta International Conference on Machine Learning, 6893-6901, 2019	300	2019
Generalized byzantine-tolerant sgd C Xie, O Koyejo, I Gupta arXiv preprint arXiv:1802.10116, 2018	287	2018
Fall of empires: Breaking byzantine-tolerant sgd by inner product manipulation C Xie, O Koyejo, I Gupta Uncertainty in Artificial Intelligence, 261-270, 2020	276	2020
Representation engineering: A top-down approach to ai transparency A Zou, L Phan, S Chen, J Campbell, P Guo, R Ren, A Pan, X Yin, ... arXiv preprint arXiv:2310.01405, 2023	231	2023
Max-sliced wasserstein distance and its use for gans I Deshpande, YT Hu, R Sun, A Pyrros, N Siddiqui, S Koyejo, Z Zhao, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019	221	2019
Consistent binary classification with generalized performance metrics OO Koyejo, N Natarajan, PK Ravikumar, IS Dhillon Advances in neural information processing systems 27, 2014	218	2014
Mariana Raykova, Dawn Song, Weikang Song, Sebastian U P Kairouz, HB McMahan, B Avent, A Bellet, M Bennis, AN Bhagoji, ... Stich, Ziteng Sun, Ananda Theertha Suresh, Florian Tramèr, Praneeth …, 2021	203	2021
Towards realistic individual recourse and actionable explanations in black-box decision making systems S Joshi, O Koyejo, W Vijitbenjaronk, B Kim, J Ghosh arXiv preprint arXiv:1907.09615, 2019	195	2019
Estimation of dynamic functional connectivity using Multiplication of Temporal Derivatives JM Shine, O Koyejo, PT Bell, KJ Gorgolewski, M Gilat, RA Poldrack NeuroImage 122, 399-407, 2015	172	2015
Zeno++: Robust fully asynchronous SGD C Xie, S Koyejo, I Gupta International Conference on Machine Learning, 10495-10503, 2020	128	2020
Interpreting black box predictions using fisher kernels R Khanna, B Kim, J Ghosh, S Koyejo The 22nd International Conference on Artificial Intelligence and Statistics …, 2019	115	2019
Fairness with overlapping groups; a probabilistic perspective F Yang, M Cisse, S Koyejo Advances in neural information processing systems 33, 4067-4078, 2020	84	2020

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