| How do fair decisions fare in long-term qualification? X Zhang, R Tu, Y Liu, M Liu, H Kjellström, K Zhang, C Zhang Thirty-fourth Conference on Neural Information Processing Systems, 2020 | 94 | 2020 |
| Causal discovery in the presence of missing data R Tu, C Zhang, P Ackermann, K Mohan, C Glymour, H Kjellström, ... The 22nd International Conference on Artificial Intelligence and Statistics, 2019 | 79 | 2019 |
| Neuropathic Pain Diagnosis Simulator for Causal Discovery Algorithm Evaluation R Tu, K Zhang, BC Bertilson, H Kjellstöm, C Zhang Thirty-third Conference on Neural Information Processing Systems, 2019 | 38 | 2019 |
| Matcha-TTS: A fast TTS architecture with conditional flow matching S Mehta, R Tu, J Beskow, É Székely, GE Henter ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | 27 | 2024 |
| Causal-discovery performance of chatgpt in the context of neuropathic pain diagnosis R Tu, C Ma, C Zhang arXiv preprint arXiv:2301.13819, 2023 | 26 | 2023 |
| Understanding readers: Conducting sentiment analysis of Instagram captions M Zhan, R Tu, Q Yu Proceedings of the 2018 2nd International Conference on Computer Science and …, 2018 | 21 | 2018 |
| Optimal transport for causal discovery R Tu, K Zhang, H Kjellström, C Zhang The International Conference on Learning Representations (ICLR), 2022 | 18 | 2022 |
| Simultaneous measurement imputation and outcome prediction for achilles tendon rupture rehabilitation C Hamesse, R Tu, P Ackermann, H Kjellström, C Zhang Machine Learning for Health Care, 2019 | 8 | 2019 |
| Unified speech and gesture synthesis using flow matching S Mehta, R Tu, S Alexanderson, J Beskow, É Székely, GE Henter ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | 3 | 2024 |
| Controllable Motion Synthesis and Reconstruction with Autoregressive Diffusion Models W Yin, R Tu, H Yin, D Kragic, H Kjellström, M Björkman 2023 32nd IEEE International Conference on Robot and Human Interactive …, 2023 | 3 | 2023 |
| Causal discovery from conditionally stationary time-series CB Rodas, R Tu, H Kjellstrom arXiv preprint arXiv:2110.06257, 2021 | 3 | 2021 |
| 基于随机森林算法的小鼠 micro-CT 影像中骨骼关节特征点定位 屠睿博， 陈中华， 王洪凯 中国生物医学工程学报 36 (3), 257-266, 2017 | 2 | 2017 |
| Self-Supervised Learning of Time Series Representation via Diffusion Process and Imputation-Interpolation-Forecasting Mask Z Senane, L Cao, VL Buchner, Y Tashiro, L You, P Herman, M Nordahl, ... The 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024 | 1 | 2024 |
| Causality for Tabular Data Synthesis: A High-Order Structure Causal Benchmark Framework R Tu, Z Senane, L Cao, C Zhang, H Kjellström, GE Henter arXiv preprint arXiv:2406.08311, 2024 | | 2024 |
| A Further Step of Causal Discovery towards Real-World Impacts R Tu KTH Royal Institute of Technology, 2023 | | 2023 |
| Causal Discovery in the Presence of Missing Values for Neuropathic Pain Diagnosis R Tu, K Zhang, BC Bertilson, C Glymour, H Kjellström, C Zhang ICML Workshop on the Art of Learning with Missing Values (Artemiss), 0 | | |
Hedvig Kjellström (Sidenbladh)Professor at KTH Royal Institute of Technology, SwedenVerified email at kth.se
