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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
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publications
Understanding Local Linearisation in Variational Gaussian Process State Space Models
Talay M Cheema, Time Series Workshop (TSW) at the 38th International Conference on Machine Learning (ICML), 2021
paper · poster · text citation ·
Real image editing with SDS
Boshi Li,haowanming, Workshop on Continuous Time Methods in Machine Learning (CTMML) at the 39th International Conference on Machine Learning (ICML), 2022
paper · text citation ·
Real image Inversion by learning classifier-free guidance in text-driven diffusion model
Boshi LI, Workshop on Continuous Time Methods in Machine Learning (CTMML) at the 39th International Conference on Machine Learning (ICML), 2022
paper · text citation ·
Kernel Learning for Explainable Climate Science
Vidhi Lalchand, Kenza Tazi, Talay M Cheema, Richard E Turner, Scott Hosking, 16th Workshop on Bayesian Modelling Applications (BMAW) at the 38th Conference on Uncertainty in Artificial Intelligence (UAI), 2022
paper · text citation ·
Faster Diffusion: Rethinking the Role of the Encoder for Diffusion Model Inference
Senmao Li, Taihang Hu, Joost van de Weijer, Fahad Shahbaz Khan, Tao Liu, Linxuan Li, Shiqi Yang, Yaxing Wang, Ming-Ming Cheng, jian Yang, 38th Conference on Neural Information Processing Systems (NeurIPS 2024), 2023
paper · text citation ·
3D-Aware Multi-Class Image-to-Image Translation with NeRFs
Senmao Li, Joost van de Weijer, Yaxing Wang, Fahad Shahbaz Khan, Meiqin Liu, jian Yang, Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR2023), 2023
paper · text citation ·
Token Merging for Training-Free Semantic Binding in Text-to-Image Synthesis
Taihang Hu, Linxuan Li, Joost van de Weijer, Hongcheng Gao, Fahad Shahbaz Khan, jian Yang, Ming-Ming Cheng, Kai Wang, Yaxing Wang, 38th Conference on Neural Information Processing Systems (NeurIPS 2024), 2024
paper · text citation ·
talks
Federated Learning (Cambridge machine learning reading group)
Published:
With Siddharth Swaroop. Slides.