基本信息
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个人简介
Krzysztof Choromanski works on several aspects of machine learning and robotics. His current research interests include reinforcement learning and randomized methods such as nonlinear embeddings based on structured random feature maps and quasi-Monte-Carlo methods. He was also working on online nonparametric clustering for massive high-dimensional streams. Krzysztof is an author of several nonlinear embedding mechanisms based on structured matrices that can be used to speed up: neural network computations, kernel methods applying random feature maps, convex optimization solvers, quantization and soft clustering methods as well as several LSH-based algorithms. With his background in structural graph theory, he is also interested in applying graph theory and other combinatorial methods in machine learning.
研究兴趣
论文共 140 篇作者统计合作学者相似作者
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David B. D'Ambrosio, Saminda Abeyruwan,Laura Graesser,Atil Iscen,Heni Ben Amor, Alex Bewley, Barney J. Reed,Krista Reymann,Leila Takayama,Yuval Tassa,Krzysztof Choromanski,Erwin Coumans,
arxiv(2024)
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IEEE International Conference on Acoustics, Speech, and Signal Processingpp.12221-12225, (2024)
David B D'Ambrosio,Navdeep Jaitly,Vikas Sindhwani, Ken Oslund, Peng Xu,Nevena Lazic,Anish Shankar,Tianli Ding, Jonathan Abelian,Erwin Coumans, Gus Kouretas, Thinh Nguyen,
RSS 2023 (2023)
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作者统计
#Papers: 142
#Citation: 5123
H-Index: 30
G-Index: 71
Sociability: 6
Diversity: 2
Activity: 119
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