activity
20192021
most citedLocalized convolutional neural networks for geospatial wind forecasting

17 citations · 20 across the 3 of their papers we have counts for

collaborators

6 papers

eess.IV20213 cited

Automated age-related macular degeneration area estimation -- first results

Rokas Pečiulis, Mantas Lukoševičius, Algimantas Kriščiukaitis +2

This work aims to research an automatic method for detecting Age-related Macular Degeneration (AMD) lesions in RGB eye fundus images. For this, we align invasively obtained eye fun…

cs.CL2021

Generating abstractive summaries of Lithuanian news articles using a transformer model

Lukas Stankevičius, Mantas Lukoševičius

In this work, we train the first monolingual Lithuanian transformer model on a relatively large corpus of Lithuanian news articles and compare various output decoding algorithms fo…

cs.LG2020

Efficient implementations of echo state network cross-validation

Mantas Lukoševičius, Arnas Uselis

Background/introduction: Cross-Validation (CV) is still uncommon in time series modeling. Echo State Networks (ESNs), as a prime example of Reservoir Computing (RC) models, are kno…

cs.LG202017 cited

Localized convolutional neural networks for geospatial wind forecasting

Arnas Uselis, Mantas Lukoševičius, Lukas Stasytis

Convolutional Neural Networks (CNN) possess many positive qualities when it comes to spatial raster data. Translation invariance enables CNNs to detect features regardless of their…

cs.IR2020

Testing pre-trained Transformer models for Lithuanian news clustering

Lukas Stankevičius, Mantas Lukoševičius

A recent introduction of Transformer deep learning architecture made breakthroughs in various natural language processing tasks. However, non-English languages could not leverage s…

cs.LG2019

Efficient Cross-Validation of Echo State Networks

Mantas Lukoševičius, Arnas Uselis

Echo State Networks (ESNs) are known for their fast and precise one-shot learning of time series. But they often need good hyper-parameter tuning for best performance. For this goo…