| Doubly stochastic variational inference for neural processes with hierarchical latent variables Q Wang, H Van Hoof International Conference on Machine Learning, 10018-10028, 2020 | 26 | 2020 |
| Model-based meta reinforcement learning using graph structured surrogate models and amortized policy search Q Wang, H Van Hoof International Conference on Machine Learning, 23055-23077, 2022 | 10 | 2022 |
| Learning expressive meta-representations with mixture of expert neural processes Q Wang, H van Hoof Advances in neural information processing systems 35, 26242-26255, 2022 | 7 | 2022 |
| Bridge the Inference Gaps of Neural Processes via Expectation Maximization Q Wang, M Federici, H van Hoof The Eleventh International Conference on Learning Representations, 2022 | 2 | 2022 |
| Large-scale generative simulation artificial intelligence: The next hotspot Q Wang, Y Feng, J Huang, Y Lv, Z Xie, X Gao The Innovation, 100516, 2023 | 1 | 2023 |
| Episodic Multi-Task Learning with Heterogeneous Neural Processes J Shen, X Zhen, Q Wang, M Worring Advances in neural information processing systems (NeurIPS2023), 2023 | | 2023 |
| A Simple Yet Effective Strategy to Robustify the Meta Learning Paradigm Q Wang, Y Lv, Y Feng, Z Xie, J Huang Advances in neural information processing systems (NeurIPS2023), 2023 | | 2023 |
| Functional representation learning for uncertainty quantification and fast skill transfer Q Wang | | 2022 |
