Mikhail Isaev

According to our database, Mikhail Isaev authored at least 21 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Methodologies for co-designing supercomputer-scale systems and deep learning software.

Mikhail Isaev

PhD thesis, 2024

2023

Degree sequences of sufficiently dense random uniform hypergraphs.

Catherine S. Greenhill, Mikhail Isaev, Tamás Makai, Brendan D. McKay

Comb. Probab. Comput., March, 2023

On the Chromatic Number in the Stochastic Block Model.

Mikhail Isaev, Mihyun Kang

Electron. J. Comb., 2023

Calculon: a methodology and tool for high-level co-design of systems and large language models.

Mikhail Isaev, Nic McDonald, Larry Dennison, Richard W. Vuduc

Proceedings of the International Conference for High Performance Computing, 2023

2022

Distribution of tree parameters by martingale approach.

Mikhail Isaev, Angus Southwell, Maksim Zhukovskii

Comb. Probab. Comput., 2022

Spanning trees in random regular uniform hypergraphs.

Catherine S. Greenhill, Mikhail Isaev, Gary Liang

Comb. Probab. Comput., 2022

Numerical reconstruction from the Fourier transform on the ball using prolate spheroidal wave functions.

Mikhail Isaev, Roman G. Novikov, Grigory V. Sabinin

CoRR, 2022

ParaGraph: An application-simulator interface and toolkit for hardware-software co-design.

Mikhail Isaev, Nic McDonald, Jeffrey Young, Richard W. Vuduc

Proceedings of the 51st International Conference on Parallel Processing, 2022

2021

Subgraph counts for dense random graphs with specified degrees.

Catherine S. Greenhill, Mikhail Isaev, Brendan D. McKay

Comb. Probab. Comput., 2021

2020

A threshold result for loose Hamiltonicity in random regular uniform hypergraphs.

Daniel Altman, Catherine S. Greenhill, Mikhail Isaev, Reshma Ramadurai

J. Comb. Theory B, 2020

Using Multiple Decomposition Methods and Cluster Analysis to Find and Categorize Typical Patterns of EEG Activity in Motor Imagery Brain-Computer Interface Experiments.

Alexander A. Frolov, Pavel Bobrov, Elena Biryukova, Mikhail Isaev, Yaroslav Kerechanin, Dmitry Bobrov, Alexander Lekin

Frontiers Robotics AI, 2020

Integer Quantization for Deep Learning Inference: Principles and Empirical Evaluation.

Hao Wu, Patrick Judd, Xiaojie Zhang, Mikhail Isaev, Paulius Micikevicius

CoRR, 2020

Asymptotic Enumeration of Orientations of a Graph as a Function of the Out-Degree Sequence.

Mikhail Isaev, Tejas Iyer, Brendan D. McKay

Electron. J. Comb., 2020

Sandwiching random regular graphs between binomial random graphs.

Pu Gao, Mikhail Isaev, Brendan D. McKay

Proceedings of the 2020 ACM-SIAM Symposium on Discrete Algorithms, 2020

2019

Practical and efficient incremental adaptive routing for HyperX networks.

Nic McDonald, Mikhail Isaev, Adriana Flores, Al Davis, John Kim

Proceedings of the International Conference for High Performance Computing, 2019

2018

Complex martingales and asymptotic enumeration.

Mikhail Isaev, Brendan D. McKay

Random Struct. Algorithms, 2018

SuperSim: Extensible Flit-Level Simulation of Large-Scale Interconnection Networks.

Nic McDonald, Adriana Flores, Al Davis, Mikhail Isaev, John Kim, Doug Gibson

Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software, 2018

2017

The average number of spanning trees in sparse graphs with given degrees.

Catherine S. Greenhill, Mikhail Isaev, Matthew Kwan, Brendan D. McKay

Eur. J. Comb., 2017

2013

New Global Stability Estimates for Monochromatic Inverse Acoustic Scattering.

Mikhail Isaev, Roman G. Novikov

SIAM J. Math. Anal., 2013

2012

On the class of gamma-mixing graphs

Mikhail Isaev, K. V. Isaeva

CoRR, 2012

2011

Asymptotic Behaviour of the Number of Eulerian Circuits.

Mikhail Isaev

Electron. J. Comb., 2011