109 citations · 115 across the 6 of their papers we have counts for
7 papers
Graph Dirichlet Energy for Fitting-Free Bivariate Causal Inference
Povilas Daniušis
We propose the Graph Dirichlet Energy Causal Inference (GDECI) criterion for distinguishing cause from effect in bivariate settings. For a candidate direction , we construc…
Open Llama2 Model for the Lithuanian Language
Artūras Nakvosas, Povilas Daniušis, Vytas Mulevičius
In this paper, we propose and describe the first open Llama2 large language models (LLMs) for the Lithuanian language, including an accompanying question/answer (Q/A) dataset and t…
DINO Pre-training for Vision-based End-to-end Autonomous Driving
Shubham Juneja, Povilas Daniušis, Virginijus Marcinkevičius
In this article, we focus on the pre-training of visual autonomous driving agents in the context of imitation learning. Current methods often rely on a classification-based pre-tra…
Testing multivariate normality by testing independence
Povilas Daniušis
We propose a simple multivariate normality test based on Kac-Bernstein's characterization, which can be conducted by utilising existing statistical independence tests for sums and…
Measuring Statistical Dependencies via Maximum Norm and Characteristic Functions
Povilas Daniušis, Shubham Juneja, Lukas Kuzma +1
In this paper, we focus on the problem of statistical dependence estimation using characteristic functions. We propose a statistical dependence measure, based on the maximum-norm o…
Topological Navigation Graph Framework
Povilas Daniusis, Shubham Juneja, Lukas Valatka +1
We focus on the utilisation of reactive trajectory imitation controllers for goal-directed mobile robot navigation. We propose a topological navigation graph (TNG) - an imitation-l…
Inferring deterministic causal relations
Povilas Daniusis, Dominik Janzing, Joris Mooij +4
We consider two variables that are related to each other by an invertible function. While it has previously been shown that the dependence structure of the noise can provide hints…