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Sergiy Matusevych
Sergiy Matusevych
Principal Data & Applied Scientist, Microsoft
在 microsoft.com 的电子邮件经过验证 - 首页
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引用次数
引用次数
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The Interspeech 2020 deep noise suppression challenge: Datasets, subjective testing framework, and challenge results
CKA Reddy, V Gopal, R Cutler, E Beyrami, R Cheng, H Dubey, ...
arXiv preprint arXiv:2005.13981, 2020
3502020
Learning To Solve Circuit-SAT: An Unsupervised Differentiable Approach
S Amizadeh, S Matusevych, M Weimer
ICLR 2018, 2018
1002018
Machine Learning at Microsoft with ML.NET
Z Ahmed, S Amizadeh, M Bilenko, R Carr, WS Chin, Y Dekel, X Dupre, ...
ACM SigKDD 2019, 2019
822019
Apache REEF: Retainable Evaluator Execution Framework
BG Chun, T Condie, Y Chen, B Cho, A Chung, C Curino, C Douglas, ...
ACM Transactions on Computer Systems (TOCS) 35 (2), 5, 2017
80*2017
PDP: A general neural framework for learning constraint satisfaction solvers
S Amizadeh, S Matusevych, M Weimer
arXiv preprint arXiv:1903.01969, 2019
292019
Hokusai: sketching streams in real time
S Matusevych, A Smola, A Ahmed
Conference on Uncertainty in Artificial Intelligence (UAI), 2012, 2012
262012
Distributed Latent Dirichlet Allocation via Tensor Factorization
F Huang, S Matusevych, A Anandkumar, N Karampatziakis, P Mineiro
7th NIPS Workshop on Optimization for Machine Learning, 2014, 2014
152014
Towards Building Autonomous Data Services on Azure
Y Zhu, Y Tian, J Cahoon, S Krishnan, A Agarwal, R Alotaibi, ...
Companion of the 2023 International Conference on Management of Data, 217-224, 2023
32023
MusicNet: Compact Convolutional Neural Network for Real-time Background Music Detection
CKA Reddy, V Gopal, H Dubey, S Matusevych, R Cutler, R Aichner
arXiv preprint arXiv:2110.04331, 2021
22021
ICASSP 2022 Deep Noise Suppression Challenge
H Dubey, V Gopal, R Cutler, A Aazami, S Matusevych, S Braun, ...
ICASSP, 2022
2022
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