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Konstantin Myasnikov

dblp:424/6162 · DBLP profile ↗
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2ranked-venue papers
0as first author
2since 2021 · last 2026
0009-0001-5849-8337ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Theory of computation · 2 · 2 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Theoretical computer science
2 papers
Computational complexity · 67% Algorithms and data structures · 33%

Topics — the 6 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Algorithms and data structures › data structure lower bounds
cell-probe lower bounds
1.012026
Sampling Permutations with Cell Probes Is Hard · STOC 2026
Computational complexity
circuit complexity
1.012026
Spiky Rank and Its Applications to Rigidity and Circuits · ICALP 2026
Computational complexity › circuit complexity
matrix rigidity
1.012026
Spiky Rank and Its Applications to Rigidity and Circuits · ICALP 2026
Computational complexity
query complexity
1.012026
Sampling Permutations with Cell Probes Is Hard · STOC 2026
Computational complexity › lower bounds
sampling lower bounds
1.012026
Sampling Permutations with Cell Probes Is Hard · STOC 2026
Algorithms and data structures › space-efficient algorithms
succinct data structures
1.012026
Sampling Permutations with Cell Probes Is Hard · STOC 2026

Methods — techniques the papers use, named apart from their topics

cell probe model · 1.0
YearPublicationVenuePosition
2026 Spiky Rank and Its Applications to Rigidity and Circuits
Lianna Hambardzumyan, Konstantin Myasnikov, Artur Riazanov, Morgan Shirley, Adi Shraibman
ICALP2
2026 Sampling Permutations with Cell Probes Is Hard
abstract
Suppose we are given an infinite sequence of input cells, each initialized with a uniform random symbol from [n]. How hard is it to output a sequence in [n]n that is close to a uniform random permutation? Viola (SICOMP 2020) conjectured that if each output cell is computed by making d probes to input cells, then d≥ω(1). Our main result shows that, in fact, d≥ (logn)Ω(1), which is tight up to the constant in the exponent. Our techniques also show that if the probes are nonadaptive, then d≥ nΩ(1), which is an exponential improvement over the previous nonadaptive lower bound due to Yu and Zhan (ITCS 2024). Our results also imply lower bounds against succinct data structures for storing permutations.
Yaroslav Alekseev, Mika Göös, Konstantin Myasnikov, Artur Riazanov, Dmitry Sokolov 0001
STOC3