activity
20172024
most citedCognitive Architecture for Co-Evolutionary Hybrid Intelligence

10 citations · 15 across the 9 of their papers we have counts for

collaborators

10 papers

cs.CY2024★ 1 cited

"Flipped" University: LLM-Assisted Lifelong Learning Environment

Kirill Krinkin, Tatiana Berlenko

The rapid development of artificial intelligence technologies, particularly Large Language Models (LLMs), has revolutionized the landscape of lifelong learning. This paper introduc…

cs.AI2022★ 10 cited

Cognitive Architecture for Co-Evolutionary Hybrid Intelligence

Kirill Krinkin, Yulia Shichkina

This paper questions the feasibility of a strong (general) data-centric artificial intelligence (AI). The disadvantages of this type of intelligence are discussed. As an alternativ…

cs.AI2021

Co-evolutionary hybrid intelligence

Kirill Krinkin, Yulia Shichkina, Andrey Ignatyev

Artificial intelligence is one of the drivers of modern technological development. The current approach to the development of intelligent systems is data-centric. It has several li…

cs.RO2021

Correlation Filter of 2D Laser Scans For Indoor Environment

Kirill Krinkin, Anton Filatov

Modern laser SLAM (simultaneous localization and mapping) and structure from motion algorithms face the problem of processing redundant data. Even if a sensor does not move, it sti…

cs.NI2020

Media Content Delivery Protocols Performance and Reliability Evaluation in Cellular Mobile Networks

Kirill Krinkin, Igor Dronnikov

Currently, tens of millions of devices around the world communicate with/ each other via cellular networks. In this paper, we study the stability of network content delivery protoc…

cs.LG2020

Imitation Learning Approach for AI Driving Olympics Trained on Real-world and Simulation Data Simultaneously

Mikita Sazanovich, Konstantin Chaika, Kirill Krinkin +1

In this paper, we describe our winning approach to solving the Lane Following Challenge at the AI Driving Olympics Competition through imitation learning on a mixed set of simulati…

cs.LO2019★ 1 cited

A Stricter Heap Separating Points-To Logic

René Haberland, Kirill Krinkin

Dynamic memory issues are hard to locate and may cost much of a development project's efforts and was repeatedly reported similarly afterwards independently by different persons. V…

cs.LO2019★ 2 cited

Abstract Predicate Entailment over Points-To Heaplets is Syntax Recognition

René Haberland, Kirill Krinkin, Sergey Ivanovskiy

Abstract predicates are considered in this paper as abstraction technique for heap-separated configurations, and as genuine Prolog predicates which are translated straight into a c…

cs.LO2019★ 1 cited

A Non-repetitive Logic for Verification of Dynamic Memory with Explicit Heap Conjunction and Disjunction

René Haberland, Kirill Krinkin

In this paper, we review existing points-to Separation Logics for dynamic memory reasoning and we find that different usages of heap separation tend to be an obstacle. Hence, two t…

cs.RO2017

2D SLAM Quality Evaluation Methods

Anton Filatov, Artyom Filatov, Kirill Krinkin +2

SLAM (Simultaneous Localization and mapping) is one of the most challenging problems for mobile platforms and there is a huge amount of modern SLAM algorithms. The choice of the al…