Url: A representation learning benchmark for transferable uncertainty estimates M Kirchhof, B Mucsányi, SJ Oh, DE Kasneci Advances in Neural Information Processing Systems 36, 13956-13980, 2023 | 7 | 2023 |
Benchmarking uncertainty disentanglement: Specialized uncertainties for specialized tasks B Mucsányi, M Kirchhof, SJ Oh arXiv preprint arXiv:2402.19460, 2024 | 3 | 2024 |
Flexcoder: Practical Program Synthesis with Flexible Input Lengths and Expressive Lambda Functions. B Gyarmathy, B Mucsányi, A Czapp, D Szilágyi, B Pintér ICPRAM, 386-395, 2021 | 3 | 2021 |
Trustworthy machine learning B Mucsányi, M Kirchhof, E Nguyen, A Rubinstein, SJ Oh arXiv preprint arXiv:2310.08215, 2023 | 2 | 2023 |
Flexible Example-Based Program Synthesis on Tree-Structured Function Compositions B Mucsányi, B Gyarmathy, Á Czapp, B Pintér SN Computer Science 3 (3), 218, 2022 | | 2022 |
35. Országos Tudományos Diákköri Konferencia (OTDK) Informatikatudományi Szekció B Fügi, Á Kerek, M Tóth, EIKP és Szoftvertechnológiai Budapest, 2021 | | 2021 |