Jiajun He

According to our database, Jiajun He authored at least 11 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

RNE: a plug-and-play framework for diffusion density estimation and inference-time control.

Jiajun He, José Miguel Hernández-Lobato, Yuanqi Du, Francisco Vargas

CoRR, June, 2025

Progressive Tempering Sampler with Diffusion.

Severi Rissanen, Ruikang Ouyang, Jiajun He, Wenlin Chen, Markus Heinonen, Arno Solin, José Miguel Hernández-Lobato

CoRR, June, 2025

FEAT: Free energy Estimators with Adaptive Transport.

Jiajun He, Yuanqi Du, Francisco Vargas, Yuanqing Wang, Carla P. Gomes, José Miguel Hernández-Lobato, Eric Vanden-Eijnden

CoRR, April, 2025

Towards Training One-Step Diffusion Models Without Distillation.

Mingtian Zhang, Jiajun He, Wenlin Chen, Zijing Ou, José Miguel Hernández-Lobato, Bernhard Schölkopf, David Barber

CoRR, February, 2025

No Trick, No Treat: Pursuits and Challenges Towards Simulation-free Training of Neural Samplers.

Jiajun He, Yuanqi Du, Francisco Vargas, Dinghuai Zhang, Shreyas Padhy, Ruikang Ouyang, Carla P. Gomes, José Miguel Hernández-Lobato

CoRR, February, 2025

Training Neural Samplers with Reverse Diffusive KL Divergence.

Jiajun He, Wenlin Chen, Mingtian Zhang, David Barber, José Miguel Hernández-Lobato

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024

Getting Free Bits Back from Rotational Symmetries in LLMs.

Jiajun He, Gergely Flamich, José Miguel Hernández-Lobato

CoRR, 2024

Efficient and Unbiased Sampling of Boltzmann Distributions via Consistency Models.

Fengzhe Zhang, Jiajun He, Laurence I. Midgley, Javier Antorán, José Miguel Hernández-Lobato

CoRR, 2024

Accelerating Relative Entropy Coding with Space Partitioning.

Jiajun He, Gergely Flamich, José Miguel Hernández-Lobato

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

RECOMBINER: Robust and Enhanced Compression with Bayesian Implicit Neural Representations.

Jiajun He, Gergely Flamich, Zongyu Guo, José Miguel Hernández-Lobato

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Compression with Bayesian Implicit Neural Representations.

Zongyu Guo, Gergely Flamich, Jiajun He, Zhibo Chen, José Miguel Hernández-Lobato

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023