AKOOL Research

Featured Publications
Latent Space Energy-Based Neural ODEs
Authors:
Sheng Cheng, Deqian Kong, Jianwen Xie, Kookjin Lee, Ying Nian Wu, Yezhou Yang
Conference:
Journal:
Transactions on Machine Learning Research (TMLR) 2025
Archive:
Molecule Design by Latent Prompt Transformer
Authors:
Deqian Kong, Yuhao Huang, Jianwen Xie, Edouardo Honig, Ming Xu, Shuanghong Xue, Pei Lin, Sanping Zhou, Sheng Zhong, Nanning Zheng, Ying Nian Wu
Conference:
The 38th Conference on Neural Information Processing Systems (NeurIPS 2024)
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Learning Energy-Based Models by Cooperative Diffusion Recovery Likelihood
Authors:
Yaxuan Zhu, Jianwen Xie, Ying Nian Wu, Ruiqi Gao
Conference:
The Twelfth International Conference on Learning Representations (ICLR), 2024
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Archive:
An Energy-Based Prior for Generative Saliency
Authors:
Jing Zhang, Jianwen Xie, Nick Barnes, Ping Li
Conference:
Journal:
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Archive:
Latent Energy-Based Odyssey: Black-Box Optimization via Expanded Exploration in the Energy-Based Latent Space
Authors:
Peiyu Yu, Dinghuai Zhang, Hengzhi He, Xiaojian Ma, Ruiyao Miao, Yifan Lu, Yasi Zhang, Deqian Kong, Ruiqi Gao, Jianwen Xie, Guang Cheng, Ying Nian Wu
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CoopHash: Cooperative Learning of Multipurpose Descriptor and Contrastive Pair Generator via Variational MCMC Teaching for Supervised Image Hashing
Authors:
Khoa Doan, Jianwen Xie, Yaxuan Zhu, Yang Zhao, Ping Li
Conference:
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Archive:
Latent Plan Transformer for Trajectory Abstraction: Planning as Latent Space Inference
Authors:
Deqian Kong, Dehong Xu, Minglu Zhao, Bo Pang, Jianwen Xie, Andrew Lizarraga, Yuhao Huang, Sirui Xie, Ying Nian Wu
Conference:
The 38th Conference on Neural Information Processing Systems (NeurIPS 2024)
Journal:
Archive:
Progressive Energy-Based Cooperative Learning for Multi-Domain Image-to-Image Translation
Authors:
Weinan Song, Yaxuan Zhu, Lei He, Ying Nian Wu, Jianwen Xie
Conference:
Journal:
Archive:
ArXiv, 2024