Vision-based navigation using deep reinforcement learning J Kulhánek, E Derner, T De Bruin, R Babuška 2019 european conference on mobile robots (ECMR), 1-8, 2019 | 74 | 2019 |
AuGPT: Auxiliary Tasks and Data Augmentation for End-To-End Dialogue with Pre-Trained Language Models J Kulhánek, V Hudeček, T Nekvinda, O Dušek 3rd Workshop on Natural Language Processing for Conversational AI, 198-210, 2021 | 59* | 2021 |
Viewformer: Nerf-free neural rendering from few images using transformers J Kulhánek, E Derner, T Sattler, R Babuška European Conference on Computer Vision, 198-216, 2022 | 50 | 2022 |
Visual navigation in real-world indoor environments using end-to-end deep reinforcement learning J Kulhánek, E Derner, R Babuška IEEE Robotics and Automation Letters 6 (3), 4345-4352, 2021 | 39 | 2021 |
Symformer: End-to-end symbolic regression using transformer-based architecture M Vastl, J Kulhánek, J Kubalík, E Derner, R Babuška IEEE Access, 2024 | 27 | 2024 |
Tetra-nerf: Representing neural radiance fields using tetrahedra J Kulhanek, T Sattler Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 19 | 2023 |
Highly accurate discovery of terpene synthases powered by machine learning reveals functional terpene cyclization in Archaea R Samusevich, T Hebra, R Bushuiev, A Bushuiev, T Čalounová, ... bioRxiv, 2024.01. 29.577750, 2024 | | 2024 |
PREDICTION OF TERPENE SYNTHASE SUBSTRATES AND PRODUCTS DIRECTLY FROM ENZYME SEQUENCES USING SELF-SUPERVISED DEEP LEARNING R Samusevich, J Kulhánek, R Bushuiev, T Čalounová, R Chatpatanasiri, ... 4th International Conference on Natural Product Discovery and Development in …, 2023 | | 2023 |