Anji Liu

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 41

Top Topics

Diffusion Models

Avoid Overfitting

Top Venues

Publications

Yizhe Huang, Anji Liu, Fanqi Kong, Yaodong Yang, Song-Chun Zhu, Xue Feng
Efficient Adaptation in Mixed-Motive Environments via Hierarchical Opponent Modeling and Planning. CoRR (2024)
Zihao Wang, Anji Liu, Haowei Lin, Jiaqi Li, Xiaojian Ma, Yitao Liang
RAT: Retrieval Augmented Thoughts Elicit Context-Aware Reasoning in Long-Horizon Generation. CoRR (2024)
Zihao Wang, Shaofei Cai, Zhancun Mu, Haowei Lin, Ceyao Zhang, Xuejie Liu, Qing Li, Anji Liu, Xiaojian Ma, Yitao Liang
OmniJARVIS: Unified Vision-Language-Action Tokenization Enables Open-World Instruction Following Agents. CoRR (2024)
Zixia Jia, Junpeng Li, Shichuan Zhang, Anji Liu, Zilong Zheng
Combining Supervised Learning and Reinforcement Learning for Multi-Label Classification Tasks with Partial Labels. ACL (1) (2024)
Anji Liu, Mathias Niepert, Guy Van den Broeck
Image Inpainting via Tractable Steering of Diffusion Models. ICLR (2024)
Vinh Tong, Anji Liu, Trung-Dung Hoang, Guy Van den Broeck, Mathias Niepert
Learning to Discretize Denoising Diffusion ODEs. CoRR (2024)
Anji Liu, Mathias Niepert, Guy Van den Broeck
Image Inpainting via Tractable Steering of Diffusion Models. CoRR (2024)
Zixia Jia, Junpeng Li, Shichuan Zhang, Anji Liu, Zilong Zheng
Combining Supervised Learning and Reinforcement Learning for Multi-Label Classification Tasks with Partial Labels. CoRR (2024)
Zhihao Cao, Zidong Wang, Siwen Xie, Anji Liu, Lifeng Fan
Smart Help: Strategic Opponent Modeling for Proactive and Adaptive Robot Assistance in Households. CoRR (2024)
Ceyao Zhang, Kaijie Yang, Siyi Hu, Zihao Wang, Guanghe Li, Yihang Sun, Cheng Zhang, Zhaowei Zhang, Anji Liu, Song-Chun Zhu, Xiaojun Chang, Junge Zhang, Feng Yin, Yitao Liang, Yaodong Yang
ProAgent: Building Proactive Cooperative Agents with Large Language Models. AAAI (2024)
Shaofei Cai, Bowei Zhang, Zihao Wang, Xiaojian Ma, Anji Liu, Yitao Liang
GROOT: Learning to Follow Instructions by Watching Gameplay Videos. ICLR (2024)
Anji Liu, Kareem Ahmed, Guy Van den Broeck
Scaling Tractable Probabilistic Circuits: A Systems Perspective. CoRR (2024)
Shaofei Cai, Bowei Zhang, Zihao Wang, Xiaojian Ma, Anji Liu, Yitao Liang
GROOT: Learning to Follow Instructions by Watching Gameplay Videos. CoRR (2023)
Zihao Wang, Shaofei Cai, Anji Liu, Xiaojian Ma, Yitao Liang
Describe, Explain, Plan and Select: Interactive Planning with Large Language Models Enables Open-World Multi-Task Agents. CoRR (2023)
Xuejie Liu, Anji Liu, Guy Van den Broeck, Yitao Liang
Understanding the Distillation Process from Deep Generative Models to Tractable Probabilistic Circuits. ICML (2023)
Zihao Wang, Shaofei Cai, Guanzhou Chen, Anji Liu, Xiaojian Ma, Yitao Liang
Describe, Explain, Plan and Select: Interactive Planning with LLMs Enables Open-World Multi-Task Agents. NeurIPS (2023)
Xuejie Liu, Anji Liu, Guy Van den Broeck, Yitao Liang
Understanding the Distillation Process from Deep Generative Models to Tractable Probabilistic Circuits. CoRR (2023)
Xuejie Liu, Anji Liu, Guy Van den Broeck, Yitao Liang
Expressive Modeling Is Insufficient for Offline RL: A Tractable Inference Perspective. CoRR (2023)
Shaofei Cai, Zihao Wang, Xiaojian Ma, Anji Liu, Yitao Liang
Open-World Multi-Task Control Through Goal-Aware Representation Learning and Adaptive Horizon Prediction. CVPR (2023)
Shaofei Cai, Zihao Wang, Xiaojian Ma, Anji Liu, Yitao Liang
Open-World Multi-Task Control Through Goal-Aware Representation Learning and Adaptive Horizon Prediction. CoRR (2023)
Anji Liu, Hongming Xu, Guy Van den Broeck, Yitao Liang
Out-of-Distribution Generalization by Neural-Symbolic Joint Training. AAAI (2023)
Zihao Wang, Shaofei Cai, Anji Liu, Yonggang Jin, Jinbing Hou, Bowei Zhang, Haowei Lin, Zhaofeng He, Zilong Zheng, Yaodong Yang, Xiaojian Ma, Yitao Liang
JARVIS-1: Open-World Multi-task Agents with Memory-Augmented Multimodal Language Models. CoRR (2023)
Anji Liu, Honghua Zhang, Guy Van den Broeck
Scaling Up Probabilistic Circuits by Latent Variable Distillation. ICLR (2023)
Ceyao Zhang, Kaijie Yang, Siyi Hu, Zihao Wang, Guanghe Li, Yihang Sun, Cheng Zhang, Zhaowei Zhang, Anji Liu, Song-Chun Zhu, Xiaojun Chang, Junge Zhang, Feng Yin, Yitao Liang, Yaodong Yang
ProAgent: Building Proactive Cooperative AI with Large Language Models. CoRR (2023)
Zhizhou Ren, Anji Liu, Yitao Liang, Jian Peng, Jianzhu Ma
Efficient Meta Reinforcement Learning for Preference-based Fast Adaptation. NeurIPS (2022)
Meihua Dang, Anji Liu, Xinzhu Wei, Sriram Sankararaman, Guy Van den Broeck
Tractable and Expressive Generative Models of Genetic Variation Data. RECOMB (2022)
Anji Liu, Honghua Zhang, Guy Van den Broeck
Scaling Up Probabilistic Circuits by Latent Variable Distillation. CoRR (2022)
Anji Liu, Stephan Mandt, Guy Van den Broeck
Lossless Compression with Probabilistic Circuits. ICLR (2022)
Meihua Dang, Anji Liu, Guy Van den Broeck
Sparse Probabilistic Circuits via Pruning and Growing. CoRR (2022)
Meihua Dang, Anji Liu, Guy Van den Broeck
Sparse Probabilistic Circuits via Pruning and Growing. NeurIPS (2022)
Zhizhou Ren, Anji Liu, Yitao Liang, Jian Peng, Jianzhu Ma
Efficient Meta Reinforcement Learning for Preference-based Fast Adaptation. CoRR (2022)
Anji Liu, Stephan Mandt, Guy Van den Broeck
Lossless Compression with Probabilistic Circuits. CoRR (2021)
Antonio Vergari, YooJung Choi, Anji Liu, Stefano Teso, Guy Van den Broeck
A Compositional Atlas of Tractable Circuit Operations for Probabilistic Inference. NeurIPS (2021)
Antonio Vergari, YooJung Choi, Anji Liu, Stefano Teso, Guy Van den Broeck
A Compositional Atlas of Tractable Circuit Operations: From Simple Transformations to Complex Information-Theoretic Queries. CoRR (2021)
Anji Liu, Guy Van den Broeck
Tractable Regularization of Probabilistic Circuits. CoRR (2021)
Anji Liu, Guy Van den Broeck
Tractable Regularization of Probabilistic Circuits. NeurIPS (2021)
Anji Liu, Yitao Liang, Ji Liu, Guy Van den Broeck, Jianshu Chen
On Effective Parallelization of Monte Carlo Tree Search. CoRR (2020)
Anji Liu, Jianshu Chen, Mingze Yu, Yu Zhai, Xuewen Zhou, Ji Liu
Watch the Unobserved: A Simple Approach to Parallelizing Monte Carlo Tree Search. ICLR (2020)
Anji Liu, Yitao Liang, Guy Van den Broeck
Off-Policy Deep Reinforcement Learning with Analogous Disentangled Exploration. AAMAS (2020)
Anji Liu, Yitao Liang, Guy Van den Broeck
Off-Policy Deep Reinforcement Learning with Analogous Disentangled Exploration. CoRR (2020)
Anji Liu, Yuanjun Laili
Balance gate controlled deep neural network. Neurocomputing 320 (2018)