| Predicting future dynamics from short-term time series using an Anticipated Learning Machine C Chen, R Li, L Shu, Z He, J Wang, C Zhang, H Ma, K Aihara, L Chen National science review 7 (6), 1079-1091, 2020 | 31 | 2020 |
| Digging into it: Community detection via hidden attributes analysis R Li, F Ye, S Xie, C Chen, Z Zheng Neurocomputing 331, 97-107, 2019 | 8 | 2019 |
| Deep learning for signal and background discrimination in liquid based neutrino experiment R Li, Y Zhengyun, Y Zhang Journal of Physics: Conference Series 1085 (4), 042037, 2018 | 6 | 2018 |
| Improving hyperparameter learning under approximate inference in Gaussian process models R Li, ST John, A Solin International Conference on Machine Learning, 2023 | 5 | 2023 |
| Streamlining Prediction in Bayesian Deep Learning R Li, M Klasson, A Solin, M Trapp arXiv preprint arXiv:2411.18425, 2024 | 2 | 2024 |
| The Robust Semantic Segmentation UNCV2023 Challenge Results X Yu, Y Zuo, Z Wang, X Zhang, J Zhao, Y Yang, L Jiao, R Peng, X Wang, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 2 | 2023 |
| A Look at Improving Robustness in Visual-inertial SLAM by Moment Matching A Solin, R Li, A Pilzer 2022 25th International Conference on Information Fusion (FUSION), 1-8, 2022 | 1 | 2022 |
| Post-hoc Probabilistic Vision-Language Models A Baumann, R Li, M Klasson, S Mentu, S Karthik, Z Akata, A Solin, ... arXiv preprint arXiv:2412.06014, 2024 | | 2024 |
| Differentially Private Continual Learning using Pre-Trained Models M Tobaben, M Klasson, R Li, A Solin, A Honkela arXiv preprint arXiv:2411.04680, 2024 | | 2024 |
| Flatness Improves Backbone Generalisation in Few-shot Classification R Li, M Trapp, M Klasson, A Solin arXiv preprint arXiv:2404.07696, 2024 | | 2024 |
| Towards Improved Learning in Gaussian Processes: The Best of Two Worlds R Li, ST John, A Solin NeurIPS Workshop onGaussian Processes, Spatiotemporal Modeling, and Decision …, 2022 | | 2022 |
| Probabilistic Active Few-Shot Learning in Vision-Language Models A Baumann, M Klasson, R Li, A Solin, M Trapp NeurIPS 2024 Workshop on Bayesian Decision-making and Uncertainty, 0 | | |
| Posterior Inferred, Now What? Streamlining Prediction in Bayesian Deep Learning R Li, M Klasson, A Solin, M Trapp NeurIPS 2024 Workshop on Bayesian Decision-making and Uncertainty, 0 | | |
Arno SolinAssistant Professor in Machine Learning, Aalto UniversityBestätigte E-Mail-Adresse bei aalto.fi