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ORCIDSergey Serebryakov
Person information
- affiliation: Hewlett Packard Enterprise Labs, Palo Alto, CA, USA
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2020 – today
- 2024
[j3]Ann Mary Justine Koomthanam
, Aalap Tripathy, Sergey Serebryakov, Gyanaranjan Nayak, Martin Foltin, Suparna Bhattacharya:
Common Metadata Framework: Integrated Framework for Trustworthy Artificial Intelligence Pipelines. IEEE Internet Comput. 28(3): 37-44 (2024)- 2023
- [i3]Giacomo Pedretti, John Moon, Pedro Bruel, Sergey Serebryakov, Ron M. Roth, Luca Buonanno, Tobias Ziegler, Cong Xu, Martin Foltin, Paolo Faraboschi, Jim Ignowski, Catherine E. Graves:
X-TIME: An in-memory engine for accelerating machine learning on tabular data with CAMs. CoRR abs/2304.01285 (2023) - [i2]Lei Zhao, Luca Buonanno, Ron M. Roth, Sergey Serebryakov, Archit Gajjar, John Moon, Jim Ignowski, Giacomo Pedretti:
RACE-IT: A Reconfigurable Analog CAM-Crossbar Engine for In-Memory Transformer Acceleration. CoRR abs/2312.06532 (2023) - 2022
- [c17]Giacomo Pedretti, Sergey Serebryakov, John Paul Strachan, Catherine E. Graves:
A general tree-based machine learning accelerator with memristive analog CAM. ISCAS 2022: 220-224 - [c16]Annmary Justine, Sergey Serebryakov, Cong Xu, Aalap Tripathy, Suparna Bhattacharya, Paolo Faraboschi, Martin Foltin:
Self-learning Data Foundation for Scientific AI. SMC 2022: 20-37 - 2021
- [c15]Sitao Huang, Aayush Ankit, Plínio Silveira, Rodrigo Antunes, Sai Rahul Chalamalasetti, Izzat El Hajj, Dong Eun Kim, Glaucimar Aguiar, Pedro Bruel, Sergey Serebryakov, Cong Xu, Can Li, Paolo Faraboschi, John Paul Strachan, Deming Chen, Kaushik Roy, Wen-Mei W. Hwu, Dejan S. Milojicic:
Mixed Precision Quantization for ReRAM-based DNN Inference Accelerators. ASP-DAC 2021: 372-377 - [c14]Plínio Silveira, César Augusto Fonticielha De Rose, Avelino Francisco Zorzo, Miguel Gomes Xavier, Dejan S. Milojicic, Sai Rahul Chalamalasetti, Sergey Serebryakov:
Resource Sharing and Security Implications on Machine Learning Inference Accelerators. COMPSAC 2021: 59-67 - [c13]Sreenivas R. Sukumar, Jacob Balma, Cong Xu, Sergey Serebryakov:
Survival of the Fittest Amidst the Cambrian Explosion of Processor Architectures for Artificial Intelligence : Invited Paper. PEHC@SC 2021: 34-43 - [i1]Giacomo Pedretti, Catherine E. Graves, Can Li, Sergey Serebryakov, Xia Sheng, Martin Foltin, Ruibin Mao, John Paul Strachan:
Tree-based machine learning performed in-memory with memristive analog CAM. CoRR abs/2103.08986 (2021) - 2020
- [j2]Phil Laplante, Dejan S. Milojicic, Sergey Serebryakov, Daniel Bennett:
Artificial Intelligence and Critical Systems: From Hype to Reality. Computer 53(11): 45-52 (2020)
2010 – 2019
- 2019
- [c12]Xinyuan Huang, Geoffrey C. Fox, Sergey Serebryakov, Ankur Mohan, Pawel M. Morkisz, Debojyoti Dutta:
Benchmarking Deep Learning for Time Series: Challenges and Directions. IEEE BigData 2019: 5679-5682 - [c11]Sergey Serebryakov, Dejan S. Milojicic, Natalia Vassilieva, Stephen Fleischman, Robert D. Clark:
Deep Learning Cookbook: Recipes for your AI Infrastructure and Applications. ICRC 2019: 16-24 - [c10]Raymond G. Beausoleil, Thomas Van Vaerenbergh, Kirk Bresniker, Catherine Graves, Kimberly Keeton, Suhas Kumar, Can Li, Dejan S. Milojicic, Sergey Serebryakov, John Paul Strachan:
Future Computing Systems (FCS) to Support "Understanding" Capability. ICRC 2019: 88-97 - 2013
- [c9]Daria Dzendzik, Sergey Serebryakov:
Semi-Automatic Generation of Linear Event Extraction Patterns for Free Texts. SYRCoDIS 2013: 5-9 - 2012
- [c8]Vladimir Gorodetsky, Vladimir Samoylov, Sergey Serebryakov:
Context-driven data and information fusion. FUSION 2012: 1830-1837 - [c7]Vladimir Gorodetsky, Vladimir Samoylov, D. Trotsky, Sergey Serebryakov:
Knowledge-Based Behavior Specification. Web Intelligence/IAT Workshops 2012: 49-53 - 2010
- [c6]Vladimir Gorodetsky, Vladimir Samoilov, Sergey Serebryakov:
Ontology - Based Context - Dependent Personalization Technology. Web Intelligence/IAT Workshops 2010: 278-283
2000 – 2009
- 2009
- [j1]Vladimir Gorodetsky, Oleg Karsaev, Vladimir Samoilov, Sergey Serebryakov:
Agent-based distributed decision-making in dynamic operational environments. Intell. Decis. Technol. 3(1): 35-57 (2009) - 2008
- [c5]Vladimir Gorodetsky, Oleg Karsaev, Vladimir Samoilov, Sergey Serebryakov:
Interaction of Agents and Data Mining in Ubiquitous Environment. Web Intelligence/IAT Workshops 2008: 562-566 - 2007
- [c4]Vladimir Gorodetsky, Oleg Karsaev, Vladimir Samoilov, Sergey Serebryakov:
P2P Agent Platform: Implementation and Testing. AP2PC 2007: 41-54 - [c3]Vladimir Gorodetsky, Oleg Karsaev, Vladimir Samoilov, Sergey Serebryakov:
Automated P2P Learning in Agent-Based Classification Networks. Web Intelligence/IAT Workshops 2007: 503-507 - [c2]Vladimir Gorodetsky, Oleg Karsaev, Vladimir Samoilov, Sergey Serebryakov:
P2P Open Agent Networks for Decision Making. SYNASC 2007: 6 - 2005
- [c1]Lev Stankevich, Sergey Serebryakov, Anton Ivanov:
Data Mining Techniques for RoboCup Soccer Agents. AIS-ADM 2005: 289-301
Coauthor Index
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