@unpublished{he2025feat,title={FEAT: Free energy Estimators with Adaptive Transport},author={He, Jiajun and Du, Yuanqi and Vargas, Francisco and Wang, Yuanqing and Gomes, Carla P and Hern{\'a}ndez-Lobato, Jos{\'e} Miguel and Vanden-Eijnden, Eric},year={2025},}
arXiv
Accelerated Parallel Tempering via Neural Transports Monte Carlo
Leo Zhang*, Peter Potaptchik*, Jiajun He*, and 5 more authors
@inproceedings{rissanen2025progressive,title={Progressive Tempering Sampler with Diffusion},author={Rissanen, Severi and OuYang, RuiKang and He, Jiajun and Chen, Wenlin and Heinonen, Markus and Solin, Arno and Hern{\'a}ndez-Lobato, Jos{\'e} Miguel},year={2025},booktitle={International Conference on Machine Learning},}
FPI @ ICLR
No Trick, No Treat: Pursuits and Challenges Towards Simulation-free Training of Neural Samplers Monte Carlo
Jiajun He*, Yuanqi Du*, Francisco Vargas, and 5 more authors
In Workshop on Frontiers in Probabilistic Inference: Sampling Meets Learning @ ICLR 2025
@inproceedings{he2025no,title={No Trick, No Treat: Pursuits and Challenges Towards Simulation-free Training of Neural Samplers},author={He, Jiajun and Du, Yuanqi and Vargas, Francisco and Zhang, Dinghuai and Padhy, Shreyas and OuYang, RuiKang and Gomes, Carla and Hern{\'a}ndez-Lobato, Jos{\'e} Miguel},year={2025},booktitle={Workshop on Frontiers in Probabilistic Inference: Sampling Meets Learning @ ICLR 2025},}
AISTATS
Training Neural Samplers with Reverse Diffusive KL Divergence Monte Carlo
Jiajun He*, Wenlin Chen*, Mingtian Zhang*, and 2 more authors
In International Conference on Artificial Intelligence and Statistics
@inproceedings{he2024training,title={Training Neural Samplers with Reverse Diffusive KL Divergence},author={He, Jiajun and Chen, Wenlin and Zhang, Mingtian and Barber, David and Hern{\'a}ndez-Lobato, Jos{\'e} Miguel},year={2025},booktitle={International Conference on Artificial Intelligence and Statistics},}
2024
NeurIPS
Accelerating Relative Entropy Coding with Space Partitioning coding
Jiajun He, Gergely Flamich, and José Miguel Hernández-Lobato
In Advances in Neural Information Processing Systems
@inproceedings{he2024accelerating,title={Accelerating Relative Entropy Coding with Space Partitioning},author={He, Jiajun and Flamich, Gergely and Hern{\'a}ndez-Lobato, Jos{\'e} Miguel},year={2024},booktitle={Advances in Neural Information Processing Systems},}
ICLR
RECOMBINER: Robust and Enhanced Compression with Bayesian Implicit Neural Representations coding
Jiajun He*, Gergely Flamich*, Zongyu Guo, and 1 more author
In International Conference on Learning Representations
@inproceedings{he2024recombiner,title={RECOMBINER: Robust and Enhanced Compression with Bayesian Implicit Neural Representations},author={He, Jiajun and Flamich, Gergely and Guo, Zongyu and Hern{\'a}ndez-Lobato, Jos{\'e} Miguel},booktitle={International Conference on Learning Representations},year={2024},}
2023
NeurIPS
Compression with bayesian implicit neural representations coding
Zongyu Guo*, Gergely Flamich*, Jiajun He, and 2 more authors
In Advances in Neural Information Processing Systems
@inproceedings{guo2023compression,title={Compression with bayesian implicit neural representations},author={Guo, Zongyu and Flamich, Gergely and He, Jiajun and Chen, Zhibo and Hern{\'a}ndez-Lobato, Jos{\'e} Miguel},booktitle={Advances in Neural Information Processing Systems},year={2023},}
Mphil Thesis
Data Compression with Variational Implicit Neural Representations coding