Kuan-Chieh Wang

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	All	Since 2016
Citations	575	571
h-index	10	10
i10-index	10	10

340

170

255

2016201720182019202020216 16 52 156 331 6

Co-authors

Richard ZemelProfessor of Computer Science, University of TorontoVerified email at cs.toronto.edu
Jörn-Henrik JacobsenApple AI/ML ResearchVerified email at vectorinstitute.ai
Will GrathwohlUniversity of TorontoVerified email at cs.toronto.edu
David DuvenaudAssistant Professor, University of TorontoVerified email at cs.toronto.edu
Thomas KipfResearch Scientist, Google BrainVerified email at google.com
Max WellingProfessor Machine Learning, University of AmsterdamVerified email at uva.nl
Ethan FetayaBar-Ilan UniversityVerified email at biu.ac.il
Jixuan WangPhD, University of TorontoVerified email at cs.toronto.edu
Roger GrosseAssistant Professor, University of TorontoVerified email at cs.toronto.edu
Kevin SwerskyGoogle BrainVerified email at cs.toronto.edu
Mohammad NorouziStaff Scientist, Google BrainVerified email at google.com
James LucasPhD Student, University of Toronto; Vector InstituteVerified email at cs.toronto.edu
Frank RudziczUniversity of Toronto, Department of Computer Science; Vector Institute for Artificial IntelligenceVerified email at cs.toronto.edu
Marc T. LawResearch Scientist at NVIDIAVerified email at nvidia.com
Yujia LiResearch Scientist, DeepMindVerified email at google.com
Alexander SchwingUniversity of Illinois at Urbana-ChampaignVerified email at illinois.edu
Li GuUniversity of TorontoVerified email at mail.utoronto.ca
Eleni TriantafillouUniversity of Toronto, Vector InstituteVerified email at cs.toronto.edu
Khai N. TruongUniversity of TorontoVerified email at cs.toronto.edu
Jens BehrmannApple AI/ML Research

Kuan-Chieh Wang

University of Toronto

Verified email at utoronto.ca - Homepage

Machine Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Neural relational inference for interacting systems T Kipf, E Fetaya, KC Wang, M Welling, R Zemel ICML, 2018	240	2018
Your Classifier is Secretly an Energy Based Model and You Should Treat it Like One W Grathwohl, KC Wang, JH Jacobsen, D Duvenaud, M Norouzi, ... ICLR, 2019	78	2019
Lingvo: a modular and scalable framework for sequence-to-sequence modeling J Shen, P Nguyen, Y Wu, Z Chen, MX Chen, Y Jia, A Kannan, T Sainath, ... Tech report, 2019	69	2019
Classifying NBA offensive plays using neural networks KC Wang, R Zemel Proceedings of MIT Sloan Sports Analytics Conference 4, 2016	52	2016
Centroid-based deep metric learning for speaker recognition J Wang, KC Wang, MT Law, F Rudzicz, M Brudno ICASSP, 3652-3656, 2019	48	2019
Adversarial distillation of bayesian neural network posteriors KC Wang, P Vicol, J Lucas, L Gu, R Grosse, R Zemel ICML, 2018	23	2018
A systematic review of ultrasound imaging as a tool for evaluating haemophilic arthropathy in children and adults CC Ligocki, A Abadeh, KC Wang, T Adams‐Webber, VS Blanchette, ... Haemophilia 23 (4), 598-612, 2017	20	2017
Dualing GANs Y Li, A Schwing, KC Wang, R Zemel NIPS, 5606-5616, 2017	14	2017
Evidence-based outcomes on diagnostic accuracy of quantitative ultrasound for assessment of pediatric osteoporosis—a systematic review KC Wang, KC Wang, A Amirabadi, E Cheung, E Uleryk, R Moineddin, ... Pediatric radiology 44 (12), 1573-1587, 2014	14	2014
Learning the stein discrepancy for training and evaluating energy-based models without sampling W Grathwohl, KC Wang, JH Jacobsen, D Duvenaud, R Zemel ICML 2020, 3732-3747, 2020	10*	2020
Understanding and mitigating exploding inverses in invertible neural networks J Behrmann, P Vicol, KC Wang, R Grosse, JH Jacobsen arXiv preprint arXiv:2006.09347, 2020	3*	2020
Longitudinal assessment of bone loss using quantitative ultrasound in a blood‐induced arthritis rabbit model KC Wang, A Amirabadi, KC Wang, R Moineddin, R Jong, C Tomlinson, ... Haemophilia 21 (5), e402-e410, 2015	3	2015
CUSTOMIZABLE FACIAL GESTURE RECOGNITION FOR IMPROVED ASSISTIVE TECHNOLOGY KC Wang, J Wang, K Truong, R Zemel AI4SG workshop at ICLR, 2019	1*	2019
Flexible Few-Shot Learning with Contextual Similarity M Ren, E Triantafillou, KC Wang, J Lucas, J Snell, X Pitkow, AS Tolias, ... arXiv preprint arXiv:2012.05895, 2020		2020
Towards Few-Shot Out-of-Distribution Detection KC Wang, CC Liu, P Vicol, R Zemel Safe Machine Learning workshop at ICLR, 2019		2019

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