Sergiy Matusevych

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Markus WeimerPrincipal Scientist; MicrosoftEmail yang diverifikasi di microsoft.com
Ross CutlerMicrosoftEmail yang diverifikasi di microsoft.com
Chandan Karadagur Ananda ReddyGoogle (formerly Microsoft, University of Texas at Dallas)Email yang diverifikasi di utdallas.edu
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Carlo Aldo CurinoPartner Scientist Group Manager --- GSL MicrosoftEmail yang diverifikasi di microsoft.com
Tyson CondieMicrosoftEmail yang diverifikasi di microsoft.com
Raghu RamakrishnanMicrosoftEmail yang diverifikasi di microsoft.com
Byung-Gon ChunFriendliAI and Seoul National UniversityEmail yang diverifikasi di snu.ac.kr
Brandon D MyersSenior Software Engineer, MicrosoftEmail yang diverifikasi di acm.org
Shravan Matthur NarayanamurthySr Software Engineering Manager, Microsoft Corp, RedmondEmail yang diverifikasi di microsoft.com
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Chris DouglasUC BerkeleyEmail yang diverifikasi di berkeley.edu
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Amr AhmedSenior Staff Research Scientist, Google AIEmail yang diverifikasi di google.com
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Anima AnandkumarCalifornia Institute of Technology and NVIDIAEmail yang diverifikasi di caltech.edu
Nikos KarampatziakisMicrosoftEmail yang diverifikasi di microsoft.com
Paul MineiroMicrosoftEmail yang diverifikasi di mineiro.com
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Sergiy Matusevych

Principal Data & Applied Scientist, Microsoft

Email yang diverifikasi di microsoft.com - Beranda

Machine Learning Distributed Systems


Judul Urutkan menurut kutipan Urutkan menurut tahun Urutkan menurut judul	Dikutip oleh Dikutip oleh	Tahun
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, ... INTERSPEECH 2020, 2020	440	2020
Learning To Solve Circuit-SAT: An Unsupervised Differentiable Approach S Amizadeh, S Matusevych, M Weimer ICLR 2018, 2018	118	2018
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	90	2019
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	31	2019
Hokusai: sketching streams in real time S Matusevych, A Smola, A Ahmed Conference on Uncertainty in Artificial Intelligence (UAI), 2012, 2012	30	2012
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	16	2014
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	5	2023
ICASSP 2022 Deep Noise Suppression Challenge H Dubey, V Gopal, R Cutler, A Aazami, S Matusevych, S Braun, ... ICASSP 2022, 2022	3*	2022
MLOS in Action: Bridging the Gap Between Experimentation and Auto-Tuning in the Cloud B Kroth, S Matusevych, R Alotaibi, Y Zhu, A Gruenheid, Y Tian VLDB 2024 17 (12), 2024	2	2024
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	2	2021
Towards Query Optimizer as a Service (QOaaS) in a Unified LakeHouse Ecosystem: Can One QO Rule Them All? R Alotaibi, Y Tian, S Grafberger, J Camacho-Rodríguez, N Bruno, B Kroth, ... arXiv preprint arXiv:2411.13704, 2024		2024

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