Quasi-random Multi-Sample Inference for Large Language Models.
CoRR, 2024
Predictive variational inference: Learn the predictively optimal posterior distribution.
CoRR, 2024
Hamiltonian Monte Carlo Inference of Marginalized Linear Mixed-Effects Models.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Outdoor Scene Relighting with Diffusion Models.
Proceedings of the Pattern Recognition - 27th International Conference, 2024
Efficient Semi-Supervised Segmentation of Medical Images with RESA-Enhanced U-Net.
Proceedings of the 8th IEEE International Conference on Network Intelligence and Digital Content, 2023
Automatically marginalized MCMC in probabilistic programming.
Proceedings of the International Conference on Machine Learning, 2023
Variational Marginal Particle Filters.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022
Optimal Mixture Weights for Off-Policy Evaluation with Multiple Behavior Policies.
CoRR, 2020
Shallow VAEs with RealNVP Prior can Perform as Well as Deep Hierarchical VAEs.
Proceedings of the Neural Information Processing - 27th International Conference, 2020
On the Necessity and Effectiveness of Learning the Prior of Variational Auto-Encoder.
CoRR, 2019