Jiajun He

According to our database, Jiajun He authored at least 20 papers between 2023 and 2026.

Collaborative distances:

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

2026

Free energy Estimation on Any State Space.

Jiajun He, Zijing Ou, Francisco Vargas, Yingzhen Li, José Miguel Hernández-Lobato, Carles Domingo-Enrich, Yuanqi Du

CoRR, May, 2026

Rare Event Analysis via Stochastic Optimal Control.

Yuanqi Du, Jiajun He, Dinghuai Zhang, Eric Vanden-Eijnden, Carles Domingo-Enrich

CoRR, April, 2026

Compression as Adaptation: Implicit Visual Representation with Diffusion Foundation Models.

Jiajun He, Zongyu Guo, Zhaoyang Jia, Xiaoyi Zhang, Jiahao Li, Xiao Li, Bin Li, José Miguel Hernández-Lobato, Yan Lu

CoRR, March, 2026

VisionCreator: A Native Visual-Generation Agentic Model with Understanding, Thinking, Planning and Creation.

Jinxiang Lai, Zexin Lu, Jiajun He, Rongwei Quan, Wenzhe Zhao, Qinyu Yang, Qi Chen, Qin Lin, Chuyue Li, Tao Gao, Yuhao Shan, Shuai Shao, Song Guo, Qinglin Lu

CoRR, March, 2026

2025

Assessing generative modeling approaches for free energy estimates in condensed matter.

Maximilian Schebek, Jiajun He, Emil Hoffmann, Yuanqi Du, Frank Noé, Jutta Rogal

CoRR, December, 2025

Evaluating Large Language Models in Scientific Discovery.

Zhangde Song, Jieyu Lu, Yuanqi Du, Botao Yu, Thomas M. Pruyn, Yue Huang, Kehan Guo, Xiuzhe Luo, Yuanhao Qu, Yi Qu, Yinkai Wang, Haorui Wang, Jeff Guo, Jingru Gan, Parshin Shojaee, Di Luo, Andres M. Bran, Gen Li, Qiyuan Zhao, Shao-Xiong Lennon Luo, Yuxuan Zhang, Xiang Zou, Wanru Zhao, Yifan F. Zhang, Wucheng Zhang, Shunan Zheng, Saiyang Zhang, Sartaaj Takrim Khan, Mahyar Rajabi Kochi, Samantha Paradi-Maropakis, Tony Baltoiu, Fengyu Xie, Tianyang Chen, Kexin Huang, Weiliang Luo, Meijing Fang, Xin Yang, Lixue Cheng, Jiajun He, Soha Hassoun, Xiangliang Zhang, Wei Wang, Chandan K. Reddy, Chao Zhang, Zhiling Zheng, Mengdi Wang, Le Cong, Carla P. Gomes, Chang-Yu Hsieh, Aditya Nandy, Philippe Schwaller, Heather J. Kulik, Haojun Jia, Huan Sun, Seyed Mohamad Moosavi, Chenru Duan

CoRR, December, 2025

Vector Quantization using Gaussian Variational Autoencoder.

Tongda Xu, Wendi Zheng, Jiajun He, José Miguel Hernández-Lobato, Yan Wang, Ya-Qin Zhang, Jie Tang

CoRR, December, 2025

CREPE: Controlling Diffusion with Replica Exchange.

Jiajun He, Paul Jeha, Peter Potaptchik, Leo Zhang, José Miguel Hernández-Lobato, Yuanqi Du, Saifuddin Syed, Francisco Vargas

CoRR, September, 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

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

FEAT: Free energy Estimators with Adaptive Transport.

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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Progressive Tempering Sampler with Diffusion.

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

Proceedings of the Forty-second International Conference on Machine Learning, 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

Hunyuan-DiT: A Powerful Multi-Resolution Diffusion Transformer with Fine-Grained Chinese Understanding.

Zhimin Li, Jianwei Zhang, Qin Lin, Jiangfeng Xiong, Yanxin Long, Xinchi Deng, Yingfang Zhang, Xingchao Liu, Minbin Huang, Zedong Xiao, Dayou Chen, Jiajun He, Jiahao Li, Wenyue Li, Chen Zhang, Rongwei Quan, Jianxiang Lu, Jiabin Huang, Xiaoyan Yuan, Xiaoxiao Zheng, Yixuan Li, Jihong Zhang, Chao Zhang, Meng Chen, Jie Liu, Zheng Fang, Weiyan Wang, Jinbao Xue, Yangyu Tao, Jianchen Zhu, Kai Liu, Sihuan Lin, Yifu Sun, Yun Li, Dongdong Wang, Mingtao Chen, Zhichao Hu, Xiao Xiao, Yan Chen, Yuhong Liu, Wei Liu, Di Wang, Yong Yang, Jie Jiang, Qinglin Lu

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 37: 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