Lifted relational neural networks: Efficient learning of latent relational structures G Sourek, V Aschenbrenner, F Zelezny, S Schockaert, O Kuzelka Journal of Artificial Intelligence Research 62, 69-100, 2018 | 152 | 2018 |
Lifted relational neural networks G Šourek, V Aschenbrenner, F Zelezný, O Kuzelka Proceedings of the NIPS Workshop on Cognitive Computation: Integrating …, 2015 | 30 | 2015 |
Deep relational learning with predicate invention V Aschenbrenner English. MA thesis. Prague, CZ: Czech Technical University in Prague, 80, 2013 | 8 | 2013 |
Enabling high-performance and secure userspace nvm file systems with the trio architecture D Zhou, V Aschenbrenner, T Lyu, J Zhang, S Kannan, S Kashyap Proceedings of the 29th Symposium on Operating Systems Principles, 150-165, 2023 | 7 | 2023 |
Beating the I/O bottleneck: a case for log-structured virtual disks MH Hajkazemi*, V Aschenbrenner*, M Abdi, EU Kaynar, ... Proceedings of the Seventeenth European Conference on Computer Systems, 628-643, 2022 | 5 | 2022 |
Filip ˇZelezný, Steven Schockaert, and Ondrej Kuzelka. Lifted relational neural networks: Efficient learning of latent relational structures G Šourek, V Aschenbrenner Journal of Artificial Intelligence Research, to appear, 2018 | 2 | 2018 |
BUSE: Block Device in Userspace V Aschenbrenner Univerzita Karlova, Matematicko-fyzikální fakulta, 2023 | | 2023 |
LSDN - Manage complex (virtual) networks in cloud environment with Linux kernel facilities V Aschenbrenner, R Kapl, J Matejek, A Vyskovsky Netdev 0x12, Montreal, Canada, July 11th - 13th, 2018, 2018 | | 2018 |
Horn-clause neural networks V Aschenbrenner, O Kuzelka Spring workshop on Mining and Learning (SML), Date: 2014/03/10-2014/03/12, 2014 | | 2014 |
Relační strojové učení s postranní indukcí pomocných konceptů V Aschenbrenner České vysoké učení technické v Praze. Vypočetní a informační centrum., 2013 | | 2013 |
Deep Relational Learning V Aschenbrenner language, 80, 2013 | | 2013 |