Sparsity-Aware Distributed Learning for Gaussian Processes with Linear Multiple KernelIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023 |
Scalable Random Feature Latent Variable ModelsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024 |
Preventing Model Collapse in Gaussian Process Latent Variable ModelsInternational Conference on Machine Learning (ICML), 2024 |
Regularization-Based Efficient Continual Learning in Deep State-Space
ModelsFusion (Fusion), 2024 |
Learning Sparse Codes with Entropy-Based ELBOsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023 |
Towards Efficient Modeling and Inference in Multi-Dimensional Gaussian
Process State-Space ModelsIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023 |
Output-Dependent Gaussian Process State-Space ModelIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022 |