Sergey Serebryakov

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 13

Top Topics

Artificial Intelligence

Computing Systems

Top Venues

IEEE Internet Comput.

Publications

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) (2024)
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 (2023)
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 (2023)
Annmary Justine, Sergey Serebryakov, Cong Xu, Aalap Tripathy, Suparna Bhattacharya, Paolo Faraboschi, Martin Foltin
Self-learning Data Foundation for Scientific AI. SMC (2022)
Giacomo Pedretti, Sergey Serebryakov, John Paul Strachan, Catherine E. Graves
A general tree-based machine learning accelerator with memristive analog CAM. ISCAS (2022)
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)
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)
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)
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 (2021)
Phil Laplante, Dejan S. Milojicic, Sergey Serebryakov, Daniel Bennett
Artificial Intelligence and Critical Systems: From Hype to Reality. Computer 53 (11) (2020)
Sergey Serebryakov, Dejan S. Milojicic, Natalia Vassilieva, Stephen Fleischman, Robert D. Clark
Deep Learning Cookbook: Recipes for your AI Infrastructure and Applications. ICRC (2019)
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)
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)
Daria Dzendzik, Sergey Serebryakov
Semi-Automatic Generation of Linear Event Extraction Patterns for Free Texts. SYRCoDIS (2013)
Vladimir Gorodetsky, Vladimir Samoylov, Sergey Serebryakov
Context-driven data and information fusion. FUSION (2012)
Vladimir Gorodetsky, Vladimir Samoylov, D. Trotsky, Sergey Serebryakov
Knowledge-Based Behavior Specification. Web Intelligence/IAT Workshops (2012)
Vladimir Gorodetsky, Vladimir Samoilov, Sergey Serebryakov
Ontology - Based Context - Dependent Personalization Technology. Web Intelligence/IAT Workshops (2010)
Vladimir Gorodetsky, Oleg Karsaev, Vladimir Samoilov, Sergey Serebryakov
Agent-based distributed decision-making in dynamic operational environments. Intell. Decis. Technol. 3 (1) (2009)
Vladimir Gorodetsky, Oleg Karsaev, Vladimir Samoilov, Sergey Serebryakov
Interaction of Agents and Data Mining in Ubiquitous Environment. Web Intelligence/IAT Workshops (2008)
Vladimir Gorodetsky, Oleg Karsaev, Vladimir Samoilov, Sergey Serebryakov
P2P Agent Platform: Implementation and Testing. AP2PC (2007)
Vladimir Gorodetsky, Oleg Karsaev, Vladimir Samoilov, Sergey Serebryakov
P2P Open Agent Networks for Decision Making. SYNASC (2007)
Vladimir Gorodetsky, Oleg Karsaev, Vladimir Samoilov, Sergey Serebryakov
Automated P2P Learning in Agent-Based Classification Networks. Web Intelligence/IAT Workshops (2007)
Lev Stankevich, Sergey Serebryakov, Anton Ivanov
Data Mining Techniques for RoboCup Soccer Agents. AIS-ADM (2005)