43 citations · 229 across the 23 of their papers we have counts for
26 papers
LANTERN: Illuminating Hidden Mathematical Knowledge in Language Models
Pavel Tikhonov, Elena Tutubalina, Ivan Oseledets +2
Language models can now prove theorems, but people still decide which problems to pursue. We ask whether a model's internal representations can help identify promising mathematical…
On the Cryptomorphism between Davis' Subset Lattices, Atomic Lattices, and Closure Systems under T1 Separation Axiom
Dmitry I. Ignatov
In this paper we count set closure systems (also known as Moore families) for the case when all single element sets are closed. In particular, we give the numbers of such strict (e…
MTS Kion Implicit Contextualised Sequential Dataset for Movie Recommendation
Aleksandr Petrov, Ildar Safilo, Daria Tikhonovich +1
We present a new movie and TV show recommendation dataset collected from the real users of MTS Kion video-on-demand platform. In contrast to other popular movie recommendation data…
On Interpretability and Similarity in Concept-Based Machine Learning
Léonard Kwuida, Dmitry I. Ignatov
Machine Learning (ML) provides important techniques for classification and predictions. Most of these are black-box models for users and do not provide decision-makers with an expl…
Object-Attribute Biclustering for Elimination of Missing Genotypes in Ischemic Stroke Genome-Wide Data
Dmitry I. Ignatov, Gennady V. Khvorykh, Andrey V. Khrunin +6
Missing genotypes can affect the efficacy of machine learning approaches to identify the risk genetic variants of common diseases and traits. The problem occurs when genotypic data…
Triclustering in Big Data Setting
Dmitry Egurnov, Dmitry I. Ignatov, Dmitry Tochilkin
In this paper, we describe versions of triclustering algorithms adapted for efficient calculations in distributed environments with MapReduce model or parallelisation mechanism pro…