| Anomaly detection for time series using vae-lstm hybrid model S Lin, R Clark, R Birke, S Schönborn, N Trigoni, S Roberts ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 222 | 2020 |
| Balancing reconstruction quality and regularisation in elbo for vaes S Lin, S Roberts, N Trigoni, R Clark arXiv preprint arXiv:1909.03765, 2019 | 13 | 2019 |
| Learning 3D scene semantics and structure from a single depth image B Yang, Z Lai, X Lu, S Lin, H Wen, A Markham, N Trigoni Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 8 | 2018 |
| Ladder: Latent data distribution modelling with a generative prior S Lin, R Clark arXiv preprint arXiv:2009.00088, 2020 | 6 | 2020 |
| Learning semantically meaningful embeddings using linear constraints S Lin, B Yang, R Birke, R Clark IEEE Computer Society Conference on Computer Vision and Pattern Recognition …, 2019 | 5 | 2019 |
| Uncertainty estimation with a VAE-classifier hybrid model S Lin, R Clark, N Trigoni, S Roberts ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 3 | 2022 |
| Wise-ale: Wide sample estimator for aggregate latent embedding S Lin, R Clark, R Birke, N Trigoni, S Roberts 2019 Deep Generative Models for Highly Structured Data, DGS@ ICLR 2019 …, 2019 | 2 | 2019 |
| Towards Consistent Variational Auto-Encoding (Student Abstract) Y Liu, S Lin, R Clark Proceedings of the AAAI Conference on Artificial Intelligence 34 (10), 13869 …, 2020 | 1 | 2020 |
| Decoding User-Generated Images as a New Genre of eWOM: An Abstract S Lin Enlightened Marketing in Challenging Times: Proceedings of the 2019 AMS …, 2020 | | 2020 |
| Inference of spatial distribution from multi-sensor measurements along trajectories with inaccurate location information S Lin, N Trigoni, S Robert, S Reece | | 2017 |
Ronald ClarkImperial College London在 imperial.ac.uk 的电子邮件经过验证
