Andrew Gritsevskiy

2019202020212022202320241 2 5 34 29

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Mario KrennMax Planck Institute for the Science of LightVerified email at mpl.mpg.de
Rose YuAssistant Professor, University of California, San DiegoVerified email at ucsd.edu
Lorenzo BuffoniResearcher, Department of Physics and Astronomy, University of FlorenceVerified email at unifi.it
Sagi EppelUniversity of Toronto Vector instituteVerified email at vectorinstitute.ai
Jacob G. FosterProfessor of Informatics & Cognitive Science, Indiana; External Professor, Santa Fe InstituteVerified email at iu.edu
Harlin LeeSchool of Data Science and Society, University of North Carolina at Chapel HillVerified email at unc.edu
Yichao LuLayer 6 AIVerified email at cs.toronto.edu
João P. MoutinhoSoftware Developer, PASQALVerified email at pasqal.com
Rishi SonthaliaHedrick Assistant Adjunct Professor, UCLAVerified email at math.ucla.edu
Yangxinyu XieDepartment of Statistics and Data Science at the University of PennsylvaniaVerified email at wharton.upenn.edu
Aaron KirtlandBrown UniversityVerified email at brown.edu
Derik KauffmanCavendish LabsVerified email at cavendishlabs.org
Maksym KorablyovMITVerified email at mit.edu
Michael KoppAI researcher
Ethan PerezAnthropic; New York UniversityVerified email at anthropic.com
Alexander LyzhovNew York UniversityVerified email at nyu.edu
Alicia ParrishGoogleVerified email at nyu.edu
Samuel R. BowmanNYU and AnthropicVerified email at nyu.edu

Andrew Gritsevskiy

Cavendish Labs

Verified email at mit.edu - Homepage


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REBUS: A Robust Evaluation Benchmark of Understanding Symbols A Gritsevskiy, A Panickssery, A Kirtland, D Kauffman, H Gundlach, ... arXiv preprint arXiv:2401.05604, 2024		2024
Forecasting the future of artificial intelligence with machine learning-based link prediction in an exponentially growing knowledge network M Krenn, L Buffoni, B Coutinho, S Eppel, JG Foster, A Gritsevskiy, H Lee, ... Nature Machine Intelligence 5 (11), 1326-1335, 2023	18*	2023
Inverse Scaling: When Bigger Isn't Better IR McKenzie, A Lyzhov, M Pieler, A Parrish, A Mueller, A Prabhu, ... arXiv preprint arXiv:2306.09479, 2023	49*	2023
Finding Human Simulators by Varying Data Quality D Kauffman, A Gritsevskiy, J Cavanagh		2022
Efficient Subgoal Heuristic Reinforcement Learning A Gritsevskiy University of Toronto, 2022		2022
Capsule networks for low-data transfer learning A Gritsevskiy, M Korablyov arXiv preprint arXiv:1804.10172, 2018	5	2018
Towards Generative Drug Discovery: Metric Learning using Variational Autoencoders A Gritsevskiy MIT PRIMES, 2017		2017
Development and Biological Analysis of a Neural Network Based Genomic Compression System A Gritsevskiy, A Vellal		2016
Mobile Health Surveillance: The Development of Software Tools for Monitoring the Spread of Disease A Gerovitch, A Gritsevskiy, G Barboy		2015

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