Maksim Podkorytov

Orcid: 0000-0003-3312-8038

According to our database1, Maksim Podkorytov authored at least 11 papers between 2017 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
Stream-K++: Adaptive GPU GEMM Kernel Selection and Scheduling for AI Using Bloom Filters.
Proceedings of the High Performance Computing, 2025

2024
Stream-K++: Adaptive GPU GEMM Kernel Scheduling and Selection using Bloom Filters.
CoRR, 2024

2021
Too Much in Common: Shifting of Embeddings in Transformer Language Models and its Implications.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

How Can the [MASK] Know? The Sources and Limitations of Knowledge in BERT.
Proceedings of the International Joint Conference on Neural Networks, 2021

2020
Effects of Architecture and Training on Embedding Geometry and Feature Discriminability in BERT.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019
Hybrid.Poly: A Consolidated Interactive Analytical Polystore System.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

2018
Hybrid.AI: A Learning Search Engine for Large-scale Structured Data.
Proceedings of the Companion Proceedings of the The Web Conference 2018, 2018

Hybrid.Poly: Performance Evaluation of Linear Algebra Analytical Extensions.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017
CognitiveDB: An Intelligent Navigator for Large-scale Dark Structured Data.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Hybrid.poly: An Interactive Large-Scale In-memory Analytical Polystore.
Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

Hybrid.JSON: High-velocity parallel in-memory polystore JSON ingest.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017


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