activity
20122026
most citedTemporal Attention augmented Bilinear Network for Financial Time-Series Data Analysis

249 citations · 586 across the 43 of their papers we have counts for

collaborators
Showing 2025Show all

7 papers · 1 filter

cs.AI2025

LOBERT: Generative AI Foundation Model for Limit Order Book Messages

Eljas Linna, Kestutis Baltakys, Alexandros Iosifidis +1

Modeling the dynamics of financial Limit Order Books (LOB) at the message level is challenging due to irregular event timing, rapid regime shifts, and the reactions of high-frequen…

q-fin.CP2025

Prospects of Imitating Trading Agents in the Stock Market

Mateusz Wilinski, Juho Kanniainen

In this work we show how generative tools, which were successfully applied to limit order book data, can be utilized for the task of imitating trading agents. To this end, we propo…

q-fin.CP2025

Agent-based model of information diffusion in the limit order book trading

Mateusz Wilinski, Juho Kanniainen

There are multiple explanations for stylized facts in high-frequency trading, including adaptive and informed agents, many of which have been studied through agent-based models. Th…

cs.LG2025

Variational Graph Convolutional Neural Networks

Illia Oleksiienko, Juho Kanniainen, Alexandros Iosifidis

Estimation of model uncertainty can help improve the explainability of Graph Convolutional Networks and the accuracy of the models at the same time. Uncertainty can also be used in…

q-fin.CP2025

Classifying and Clustering Trading Agents

Mateusz Wilinski, Anubha Goel, Alexandros Iosifidis +1

The rapid development of sophisticated machine learning methods, together with the increased availability of financial data, has the potential to transform financial research, but…

q-fin.RM2025

Foundation Time-Series AI Model for Realized Volatility Forecasting

Anubha Goel, Puneet Pasricha, Martin Magris +1

Time series foundation models (FMs) have emerged as a popular paradigm for zero-shot multi-domain forecasting. These models are trained on numerous diverse datasets and claim to be…

cs.SI2025

Learning hidden cascades via classification

Derrick Gilchrist Edward Manoharan, Anubha Goel, Alexandros Iosifidis +2

The spreading dynamics in social networks are often studied under the assumption that individuals' statuses, whether informed or infected, are fully observable. However, in many re…