2 citations · 3 across the 14 of their papers we have counts for
14 papers
Interpretable experiential learning based on state history and global feedback
Anton Kolonin
A new interpretable experiential learning model based on state history and global feedback is presented. It is capable of learning a behavioral model represented by a transition gr…
Time Series Augmented Generation for Financial Applications
Anton Kolonin, Alexey Glushchenko, Evgeny Bochkov +1
Evaluating the reasoning capabilities of Large Language Models (LLMs) for complex, quantitative financial tasks is a critical and unsolved challenge. Standard benchmarks often fail…
Computational Concept of the Psyche
Anton Kolonin, Vladimir Krykov
This article presents an overview of approaches to modeling the human psyche in the context of constructing an artificial one. Based on this overview, a concept of cognitive archit…
Human-aligned Quantification of Numerical Data
Anton Kolonin
Quantifying numerical data involves addressing two key challenges: first, determining whether the data can be naturally quantified, and second, identifying the numerical intervals…
Interpretable Recognition of Cognitive Distortions in Natural Language Texts
Anton Kolonin, Anna Arinicheva
We propose a new approach to multi-factor classification of natural language texts based on weighted structured patterns such as N-grams, taking into account the heterarchical rela…
Computational Concept of the Psyche (in Russian)
Anton Kolonin, Vladimir Kryukov
The article provides an overview of approaches to modeling the human psyche in the perspective of building an artificial one. Based on the review, a concept of cognitive architectu…
Application of Liquid Rank Reputation System for Twitter Trend Analysis on Bitcoin
Abhishek Saxena, Anton Kolonin
Analyzing social media trends can create a win-win situation for both creators and consumers. Creators can receive fair compensation, while consumers gain access to engaging, relev…
Evolution of Efficient Symbolic Communication Codes
Anton Kolonin
The paper explores how the human natural language structure can be seen as a product of evolution of inter-personal communication code, targeting maximisation of such culture-agnos…
Self-tuning hyper-parameters for unsupervised cross-lingual tokenization
Anton Kolonin
We explore the possibility of meta-learning for the language-independent unsupervised tokenization problem for English, Russian, and Chinese. We implement the meta-learning approac…
Adaptive Predictive Portfolio Management Agent
Anton Kolonin, Alexey Glushchenko, Arseniy Fokin +3
The paper presents an advanced version of an adaptive market-making agent capable of performing experiential learning, exploiting a "try and fail" approach relying on a swarm of su…
Unsupervised Tokenization Learning
Anton Kolonin, Vignav Ramesh
In the presented study, we discover that the so-called "transition freedom" metric appears superior for unsupervised tokenization purposes in comparison to statistical metrics such…
Adaptive Multi-Strategy Market-Making Agent For Volatile Markets
Ali Raheman, Anton Kolonin, Alexey Glushchenko +2
Crypto-currency market uncertainty drives the need to find adaptive solutions to maximise gain or at least to avoid loss throughout the periods of trading activity. Given the high…
Causal Analysis of Generic Time Series Data Applied for Market Prediction
Anton Kolonin, Ali Raheman, Mukul Vishwas +3
We explore the applicability of the causal analysis based on temporally shifted (lagged) Pearson correlation applied to diverse time series of different natures in context of the p…
High-performance automatic categorization and attribution of inventory catalogs
Anton Kolonin
Techniques of machine learning for automatic text categorization are applied and adapted for the problem of inventory catalog data attribution, with different approaches explored a…