Neural Network with Matrix Inputs. - Povilas Daniusis; Pranas Vaitkus (Informatica, 2008)

Supervised Feature Extraction Using Hilbert-Schmidt Norms. - Povilas Daniusis; Pranas Vaitkus (IDEAL, 2009)

Inferring deterministic causal relations. - Povilas Daniusis; Dominik Janzing; Joris M. Mooij; Jakob Zscheischler; Bastian Steudel; Kun Zhang 001; Bernhard Schölkopf (UAI, 2010)

Information-geometric approach to inferring causal directions. - Dominik Janzing; Joris M. Mooij; Kun Zhang 001; Jan Lemeire; Jakob Zscheischler; Povilas Daniusis; Bastian Steudel; Bernhard Schölkopf (Artif. Intell., 2012)

Topological Navigation Graph. - Povilas Daniusis; Shubham Juneja; Lukas Valatka; Linas Petkevicius (CoRR, 2019)

Research advances of indoor navigation for blind people: A brief review of technological instrumentation. - Darius Plikynas; Arunas Zvironas; Marius Gudauskis; Andrius Budrionis; Povilas Daniusis; Ieva Sliesoraityte (IEEE Instrum. Meas. Mag., 2020)

Topological navigation graph framework. - Povilas Daniusis; Shubham Juneja; Lukas Valatka; Linas Petkevicius (Auton. Robots, 2021)

Measuring Statistical Dependencies via Maximum Norm and Characteristic Functions. - Povilas Daniusis; Shubham Juneja; Lukas Kuzma; Virginijus Marcinkevicius (CoRR, 2022)

Visual Place Recognition Pre-Training for End-to-End Trained Autonomous Driving Agent. - Shubham Juneja; Povilas Daniusis; Virginijus Marcinkevicius (IEEE Access, 2023)

Testing multivariate normality by testing independence. - Povilas Daniusis (CoRR, 2023)

DINO Pre-training for Vision-based End-to-end Autonomous Driving. - Shubham Juneja; Povilas Daniusis; Virginijus Marcinkevicius (Balt. J. Mod. Comput., 2024)

Open Llama2 Model for the Lithuanian Language. - Arturas Nakvosas; Povilas Daniusis; Vytas Mulevicius (CoRR, 2024)

Elastic Weight Consolidation for Full-Parameter Continual Pre-Training of Gemma2. - Vytenis Sliogeris; Povilas Daniusis; Arturas Nakvosas (CoRR, 2025)