Sergey Serebryakov

30 papers A 1B 2C 3Misc 1Journal 9Unranked 14

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Forecast2Anomaly (F2A): Adapting Multivariate Time Series Foundation Models for Anomaly Prediction. CoRR Atif Hassan, Tarun Kumar, Ashish Mishra, Sergey Serebryakov, Satish Kumar Mopur, Phanidhar Koganti, Murthy Chelankuri, Ramanagopal V. Vogety, Suparna Bhattacharya, Martin Foltin
2025	—	`conf`	From Exploration to Explanation: ML-Driven Causal Discovery for Datacenter Reliability at Scale. SC Workshops Pavana Prakash, Rolando P. Hong Enriquez, Sergey Serebryakov, David Grant, Wesley Brewer, Dejan S. Milojicic
2025	J	`jnl`	NL-DPE: An Analog In-memory Non-Linear Dot Product Engine for Efficient CNN and LLM Inference. CoRR Lei Zhao, Luca Buonanno, Archit Gajjar, John Moon, Aishwarya Natarajan, Sergey Serebryakov, Ron M. Roth, Xia Sheng, Youtao Zhang, Paolo Faraboschi, Jim Ignowski, Giacomo Pedretti
2025	C	`conf`	RACE-IT: A Reconfigurable Analog Computing Engine for In-Memory Transformer Acceleration. ICCD Lei Zhao, Aishwarya Natarajan, Luca Buonanno, Archit Gajjar, Ron M. Roth, Sergey Serebryakov, John Moon, Omar Eldash, Jim Ignowski, Giacomo Pedretti
2024	—	`conf`	AIOps and Sustainability: Transforming Data Centers for a Greener Future. SC Workshops Subrahmanya Vinayak Joshi, Sergey Serebryakov, Deepak Nanjundaiah, Tejas Hegde
2024	A	`conf`	CAMSHAP: Accelerating Machine Learning Model Explainability with Analog CAM. ICCAD John Moon, Giacomo Pedretti, Pedro Bruel, Sergey Serebryakov, Omar Eldash, Luca Buonanno, Catherine E. Graves, Paolo Faraboschi, Jim Ignowski
2024	J	`jnl`	Common Metadata Framework: Integrated Framework for Trustworthy Artificial Intelligence Pipelines. IEEE Internet Comput. Ann Mary Justine Koomthanam, Aalap Tripathy, Sergey Serebryakov, Gyanaranjan Nayak, Martin Foltin, Suparna Bhattacharya
2024	J	`jnl`	Constructing a metadata knowledge graph as an atlas for demystifying AI pipeline optimization. Frontiers Big Data Revathy Venkataramanan, Aalap Tripathy, Tarun Kumar, Sergey Serebryakov, Annmary Justine, Arpit Shah, Suparna Bhattacharya, Martin Foltin, Paolo Faraboschi, Kaushik Roy, Amit P. Sheth
2023	J	`jnl`	RACE-IT: A Reconfigurable Analog CAM-Crossbar Engine for In-Memory Transformer Acceleration. CoRR Lei Zhao, Luca Buonanno, Ron M. Roth, Sergey Serebryakov, Archit Gajjar, John Moon, Jim Ignowski, Giacomo Pedretti
2023	J	`jnl`	X-TIME: An in-memory engine for accelerating machine learning on tabular data with CAMs. CoRR 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
2022	C	`conf`	A general tree-based machine learning accelerator with memristive analog CAM. ISCAS Giacomo Pedretti, Sergey Serebryakov, John Paul Strachan, Catherine E. Graves
2022	B	`conf`	Self-learning Data Foundation for Scientific AI. SMC Annmary Justine, Sergey Serebryakov, Cong Xu, Aalap Tripathy, Suparna Bhattacharya, Paolo Faraboschi, Martin Foltin
2021	—	`conf`	Mixed Precision Quantization for ReRAM-based DNN Inference Accelerators. ASP-DAC 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
2021	B	`conf`	Resource Sharing and Security Implications on Machine Learning Inference Accelerators. COMPSAC Plínio Silveira, César Augusto Fonticielha De Rose, Avelino Francisco Zorzo, Miguel Gomes Xavier, Dejan S. Milojicic, Sai Rahul Chalamalasetti, Sergey Serebryakov
2021	—	`conf`	Survival of the Fittest Amidst the Cambrian Explosion of Processor Architectures for Artificial Intelligence : Invited Paper. PEHC@SC Sreenivas R. Sukumar, Jacob Balma, Cong Xu, Sergey Serebryakov
2021	J	`jnl`	Tree-based machine learning performed in-memory with memristive analog CAM. CoRR Giacomo Pedretti, Catherine E. Graves, Can Li, Sergey Serebryakov, Xia Sheng, Martin Foltin, Ruibin Mao, John Paul Strachan
2020	J	`jnl`	Artificial Intelligence and Critical Systems: From Hype to Reality. Computer Phil Laplante, Dejan S. Milojicic, Sergey Serebryakov, Daniel Bennett
2019	—	`conf`	Benchmarking Deep Learning for Time Series: Challenges and Directions. IEEE BigData Xinyuan Huang, Geoffrey C. Fox, Sergey Serebryakov, Ankur Mohan, Pawel M. Morkisz, Debojyoti Dutta
2019	—	`conf`	Deep Learning Cookbook: Recipes for your AI Infrastructure and Applications. ICRC Sergey Serebryakov, Dejan S. Milojicic, Natalia Vassilieva, Stephen Fleischman, Robert D. Clark
2019	—	`conf`	Future Computing Systems (FCS) to Support "Understanding" Capability. ICRC Raymond G. Beausoleil, Thomas Van Vaerenbergh, Kirk Bresniker, Catherine Graves, Kimberly Keeton, Suhas Kumar, Can Li, Dejan S. Milojicic, Sergey Serebryakov, John Paul Strachan
2013	—	`conf`	Semi-Automatic Generation of Linear Event Extraction Patterns for Free Texts. SYRCoDIS Daria Dzendzik, Sergey Serebryakov
2012	C	`conf`	Context-driven data and information fusion. FUSION Vladimir Gorodetsky, Vladimir Samoylov, Sergey Serebryakov
2012	—	`conf`	Knowledge-Based Behavior Specification. Web Intelligence/IAT Workshops Vladimir Gorodetsky, Vladimir Samoylov, D. Trotsky, Sergey Serebryakov
2010	—	`conf`	Ontology - Based Context - Dependent Personalization Technology. Web Intelligence/IAT Workshops Vladimir Gorodetsky, Vladimir Samoilov, Sergey Serebryakov
2009	J	`jnl`	Agent-based distributed decision-making in dynamic operational environments. Intell. Decis. Technol. Vladimir Gorodetsky, Oleg Karsaev, Vladimir Samoilov, Sergey Serebryakov
2008	—	`conf`	Interaction of Agents and Data Mining in Ubiquitous Environment. Web Intelligence/IAT Workshops Vladimir Gorodetsky, Oleg Karsaev, Vladimir Samoilov, Sergey Serebryakov
2007	—	`conf`	Automated P2P Learning in Agent-Based Classification Networks. Web Intelligence/IAT Workshops Vladimir Gorodetsky, Oleg Karsaev, Vladimir Samoilov, Sergey Serebryakov
2007	—	`conf`	P2P Agent Platform: Implementation and Testing. AP2PC Vladimir Gorodetsky, Oleg Karsaev, Vladimir Samoilov, Sergey Serebryakov
2007	Misc	`conf`	P2P Open Agent Networks for Decision Making. SYNASC Vladimir Gorodetsky, Oleg Karsaev, Vladimir Samoilov, Sergey Serebryakov
2005	—	`conf`	Data Mining Techniques for RoboCup Soccer Agents. AIS-ADM Lev Stankevich, Sergey Serebryakov, Anton Ivanov