Jonás Kulhánek

Tetra-NeRF: Representing Neural Radiance Fields Using Tetrahedra

Torsten Sattler, Jonás Kulhánek, 2023, ArXiv.

SymFormer: End-to-end symbolic regression using transformer-based architecture

R. Babuška, Erik Derner, Jiří Kubalík, 2022, ArXiv.

AuGPT: Dialogue with Pre-trained Language Models and Data Augmentation pdf

Ondrej Dusek, Vojtech Hudecek, Tomás Nekvinda, 2021, ArXiv.

Vision-based Navigation Using Deep Reinforcement Learning

Erik Derner, Robert Babuska, Tim de Bruin, 2019, 2019 European Conference on Mobile Robots (ECMR).

Visual Navigation in Real-World Indoor Environments Using End-to-End Deep Reinforcement Learning pdf

Robert Babuska, Erik Derner, Jonás Kulhánek, 2020, IEEE Robotics and Automation Letters.

Tetra-NeRF: Representing Neural Radiance Fields Using Tetrahedra

Torsten Sattler, Jonás Kulhánek, 2023, 2023 IEEE/CVF International Conference on Computer Vision (ICCV).

Visual Navigation using Deep Reinforcement Learning

BACHELOR‘S Thesis Assignment, Jonás Kulhánek, 2019 .

ViewFormer: NeRF-free Neural Rendering from Few Images Using Transformers – Supplementary Material

Torsten Sattler, Erik Derner, Jonás Kulhánek, 2022 .