Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Daniušis, Povilas"'
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 translations of popular LLM benchmarks. We provide a brief review of op
Externí odkaz:
http://arxiv.org/abs/2408.12963
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-training, which we hypothesise to be holding back from extending capabili
Externí odkaz:
http://arxiv.org/abs/2407.10803
Autor:
Daniušis, Povilas
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 differences of data samples. We also perform its empirical investigati
Externí odkaz:
http://arxiv.org/abs/2311.11575
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 of the difference between joint and product-marginal characteristic fun
Externí odkaz:
http://arxiv.org/abs/2208.07934
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-learning-based framework for navigating through environments with inter
Externí odkaz:
http://arxiv.org/abs/1910.06658
Autor:
Daniušis, Povilas
Daugelis praktiškai reikšmingu sistemu mokymo uždaviniu reikalauja gebeti panaudoti didelio matavimo, strukturizuotus, netiesinius duomenis. Vaizdu, teksto, socialiniu bei verslo ryšiu analize, ivairus bioinformatikos uždaviniai galetu buti toki
Externí odkaz:
http://vddb.laba.lt/fedora/get/LT-eLABa-0001:E.02~2012~D_20121001_093636-64906/DS.005.0.01.ETD
Autor:
Daniušis, Povilas
In many important real world applications the initial representation of the data is inconvenient, or even prohibitive for further analysis. For example, in image analysis, text analysis and computational genetics high-dimensional, massive, structural
Externí odkaz:
http://vddb.laba.lt/fedora/get/LT-eLABa-0001:E.02~2012~D_20121001_093645-66010/DS.005.1.01.ETD
Autor:
Daniusis, Povilas, Janzing, Dominik, Mooij, Joris, Zscheischler, Jakob, Steudel, Bastian, Zhang, Kun, Schoelkopf, Bernhard
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 to determine which of the two variables is the cause, we presently sho
Externí odkaz:
http://arxiv.org/abs/1203.3475
Akademický článek
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Autor:
Janzing, Dominik, Mooij, Joris, Zhang, Kun, Lemeire, Jan, Zscheischler, Jakob, Daniušis, Povilas, Steudel, Bastian, Schölkopf, Bernhard
Publikováno v:
In Artificial Intelligence May 2012 182-183:1-31
