Povilas Daniusis

18 papers A 1C 1Journal 14
YearRankTypeTitle / Venue / Authors
2025 J jnl
Elastic Weight Consolidation for Full-Parameter Continual Pre-Training of Gemma2.
CoRR
Vytenis Sliogeris, Povilas Daniusis, Arturas Nakvosas
2025 J jnl
Measuring Statistical Dependence via Characteristic Function IPM.
Entropy
Povilas Daniusis, Shubham Juneja, Lukas Kuzma, Virginijus Marcinkevicius
2024 J jnl
DINO Pre-training for Vision-based End-to-end Autonomous Driving.
Balt. J. Mod. Comput.
Shubham Juneja, Povilas Daniusis, Virginijus Marcinkevicius
2024 J jnl
DINO Pre-training for Vision-based End-to-end Autonomous Driving.
CoRR
Shubham Juneja, Povilas Daniusis, Virginijus Marcinkevicius
2024 — ed.
Machine Learning and Knowledge Discovery in Databases. Research Track and Demo Track - European Conference, ECML PKDD 2024, Vilnius, Lithuania, September 9-13, 2024, Proceedings, Part VIII
ECML/PKDD (8)
Albert Bifet, Povilas Daniusis, Jesse Davis, Tomas Krilavicius, Meelis Kull, Eirini Ntoutsi, Kai Puolamäki, Indre Zliobaite
2024 J jnl
Open Llama2 Model for the Lithuanian Language.
CoRR
Arturas Nakvosas, Povilas Daniusis, Vytas Mulevicius
2023 J jnl
Testing multivariate normality by testing independence.
CoRR
Povilas Daniusis
2023 J jnl
Visual Place Recognition Pre-Training for End-to-End Trained Autonomous Driving Agent.
IEEE Access
Shubham Juneja, Povilas Daniusis, Virginijus Marcinkevicius
2022 J jnl
Measuring Statistical Dependencies via Maximum Norm and Characteristic Functions.
CoRR
Povilas Daniusis, Shubham Juneja, Lukas Kuzma, Virginijus Marcinkevicius
2021 J jnl
Topological navigation graph framework.
Auton. Robots
Povilas Daniusis, Shubham Juneja, Lukas Valatka, Linas Petkevicius
2020 J jnl
Research advances of indoor navigation for blind people: A brief review of technological instrumentation.
IEEE Instrum. Meas. Mag.
Darius Plikynas, Arunas Zvironas, Marius Gudauskis, Andrius Budrionis, Povilas Daniusis, Ieva Sliesoraityte
2019 J jnl
Topological Navigation Graph.
CoRR
Povilas Daniusis, Shubham Juneja, Lukas Valatka, Linas Petkevicius
2012 J jnl
Inferring deterministic causal relations
CoRR
Povilas Daniusis, Dominik Janzing, Joris M. Mooij, Jakob Zscheischler, Bastian Steudel, Kun Zhang, Bernhard Schölkopf
2012 J jnl
Information-geometric approach to inferring causal directions.
Artif. Intell.
Dominik Janzing, Joris M. Mooij, Kun Zhang, Jan Lemeire, Jakob Zscheischler, Povilas Daniusis, Bastian Steudel, Bernhard Schölkopf
2012 — —
Požymių išskyrimas optimizuojant priklausomumo struktūrą / ; Feature extraction via dependence structure optimization.
Povilas Daniusis
2010 A conf
Inferring deterministic causal relations.
UAI
Povilas Daniusis, Dominik Janzing, Joris M. Mooij, Jakob Zscheischler, Bastian Steudel, Kun Zhang, Bernhard Schölkopf
2009 C conf
Supervised Feature Extraction Using Hilbert-Schmidt Norms.
IDEAL
Povilas Daniusis, Pranas Vaitkus
2008 J jnl
Neural Network with Matrix Inputs.
Informatica
Povilas Daniusis, Pranas Vaitkus