Anji Liu

According to our database, Anji Liu authored at least 48 papers between 2018 and 2025.

Collaborative distances:

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

2025

Zero-Variance Gradients for Variational Autoencoders.

Zilei Shao, Anji Liu, Guy Van den Broeck

CoRR, August, 2025

Scalable Multi-Task Reinforcement Learning for Generalizable Spatial Intelligence in Visuomotor Agents.

Shaofei Cai, Zhancun Mu, Haiwen Xia, Bowei Zhang, Anji Liu, Yitao Liang

CoRR, July, 2025

Mitigating Reward Over-optimization in Direct Alignment Algorithms with Importance Sampling.

Phuc Minh Nguyen, Ngoc-Hieu Nguyen, Duy H. M. Nguyen, Anji Liu, An Mai, Binh T. Nguyen, Daniel Sonntag, Khoa D. Doan

CoRR, June, 2025

Rethinking Probabilistic Circuit Parameter Learning.

Anji Liu, Guy Van den Broeck

CoRR, May, 2025

Plug-and-Play Context Feature Reuse for Efficient Masked Generation.

Xuejie Liu, Anji Liu, Guy Van den Broeck, Yitao Liang

CoRR, May, 2025

JARVIS-1: Open-World Multi-Task Agents With Memory-Augmented Multimodal Language Models.

Zihao Wang, Shaofei Cai, Anji Liu, Yonggang Jin, Jinbing Hou, Bowei Zhang, Haowei Lin, Zhaofeng He, Zilong Zheng, Yaodong Yang, Xiaojian Ma, Yitao Liang

IEEE Trans. Pattern Anal. Mach. Intell., March, 2025

Open-World Skill Discovery from Unsegmented Demonstrations.

Jingwen Deng, Zihao Wang, Shaofei Cai, Anji Liu, Yitao Liang

CoRR, March, 2025

ROCKET-2: Steering Visuomotor Policy via Cross-View Goal Alignment.

Shaofei Cai, Zhancun Mu, Anji Liu, Yitao Liang

CoRR, March, 2025

Symmetry-Preserving Diffusion Models via Target Symmetrization.

Vinh Tong, Yun Ye, Trung-Dung Hoang, Anji Liu, Guy Van den Broeck, Mathias Niepert

CoRR, February, 2025

Tractable Transformers for Flexible Conditional Generation.

Anji Liu, Xuejie Liu, Dayuan Zhao, Mathias Niepert, Yitao Liang, Guy Van den Broeck

CoRR, February, 2025

Learning to Discretize Denoising Diffusion ODEs.

Vinh Tong, Dung-Trung Hoang, Anji Liu, Guy Van den Broeck, Mathias Niepert

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Discrete Copula Diffusion.

Anji Liu, Oliver Broadrick, Mathias Niepert, Guy Van den Broeck

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

GROOT-2: Weakly Supervised Multimodal Instruction Following Agents.

Shaofei Cai, Bowei Zhang, Zihao Wang, Haowei Lin, Xiaojian Ma, Anji Liu, Yitao Liang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Enhancing and Evaluating Probabilistic Circuits for High-Resolution Lossless Image Compression.

Daniel Severo, Jingtong Su, Anji Liu, Jeff Johnson, Brian Karrer, Guy Van den Broeck, Matthew J. Muckley, Karen Ullrich

Proceedings of the Data Compression Conference, 2025

ROCKET-1: Mastering Open-World Interaction with Visual-Temporal Context Prompting.

Shaofei Cai, Zihao Wang, Kewei Lian, Zhancun Mu, Xiaojian Ma, Anji Liu, Yitao Liang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

MineStudio: A Streamlined Package for Minecraft AI Agent Development.

Shaofei Cai, Zhancun Mu, Kaichen He, Bowei Zhang, Xinyue Zheng, Anji Liu, Yitao Liang

CoRR, 2024

GROOT-2: Weakly Supervised Multi-Modal Instruction Following Agents.

Shaofei Cai, Bowei Zhang, Zihao Wang, Haowei Lin, Xiaojian Ma, Anji Liu, Yitao Liang

CoRR, 2024

ROCKET-1: Master Open-World Interaction with Visual-Temporal Context Prompting.

Shaofei Cai, Zihao Wang, Kewei Lian, Zhancun Mu, Xiaojian Ma, Anji Liu, Yitao Liang

CoRR, 2024

Learning to Discretize Denoising Diffusion ODEs.

Vinh Tong, Anji Liu, Trung-Dung Hoang, Guy Van den Broeck, Mathias Niepert

CoRR, 2024

RAT: Retrieval Augmented Thoughts Elicit Context-Aware Reasoning in Long-Horizon Generation.

Zihao Wang, Anji Liu, Haowei Lin, Jiaqi Li, Xiaojian Ma, Yitao Liang

CoRR, 2024

OmniJARVIS: Unified Vision-Language-Action Tokenization Enables Open-World Instruction Following Agents.

Zihao Wang, Shaofei Cai, Zhancun Mu, Haowei Lin, Ceyao Zhang, Xuejie Liu, Qing Li, Anji Liu, Xiaojian (Shawn) Ma, Yitao Liang

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

A Tractable Inference Perspective of Offline RL.

Xuejie Liu, Anji Liu, Guy Van den Broeck, Yitao Liang

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

Scaling Tractable Probabilistic Circuits: A Systems Perspective.

Anji Liu, Kareem Ahmed, Guy Van den Broeck

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Efficient Adaptation in Mixed-Motive Environments via Hierarchical Opponent Modeling and Planning.

Yizhe Huang, Anji Liu, Fanqi Kong, Yaodong Yang, Song-Chun Zhu, Xue Feng

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Image Inpainting via Tractable Steering of Diffusion Models.

Anji Liu, Mathias Niepert, Guy Van den Broeck

Proceedings of the Twelfth International Conference on Learning Representations, 2024

GROOT: Learning to Follow Instructions by Watching Gameplay Videos.

Shaofei Cai, Bowei Zhang, Zihao Wang, Xiaojian Ma, Anji Liu, Yitao Liang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Smart Help: Strategic Opponent Modeling for Proactive and Adaptive Robot Assistance in Households.

Zhihao Cao, Zidong Wang, Siwen Xie, Anji Liu, Lifeng Fan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Combining Supervised Learning and Reinforcement Learning for Multi-Label Classification Tasks with Partial Labels.

Zixia Jia, Junpeng Li, Shichuan Zhang, Anji Liu, Zilong Zheng

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

ProAgent: Building Proactive Cooperative Agents with Large Language Models.

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

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Expressive Modeling Is Insufficient for Offline RL: A Tractable Inference Perspective.

Xuejie Liu, Anji Liu, Guy Van den Broeck, Yitao Liang

CoRR, 2023

ProAgent: Building Proactive Cooperative AI with Large Language Models.

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

CoRR, 2023

Describe, Explain, Plan and Select: Interactive Planning with Large Language Models Enables Open-World Multi-Task Agents.

Zihao Wang, Shaofei Cai, Anji Liu, Xiaojian Ma, Yitao Liang

CoRR, 2023

Describe, Explain, Plan and Select: Interactive Planning with LLMs Enables Open-World Multi-Task Agents.

Zihao Wang, Shaofei Cai, Guanzhou Chen, Anji Liu, Xiaojian Ma, Yitao Liang

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

Understanding the Distillation Process from Deep Generative Models to Tractable Probabilistic Circuits.

Xuejie Liu, Anji Liu, Guy Van den Broeck, Yitao Liang

Proceedings of the International Conference on Machine Learning, 2023

Scaling Up Probabilistic Circuits by Latent Variable Distillation.

Anji Liu, Honghua Zhang, Guy Van den Broeck

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Open-World Multi-Task Control Through Goal-Aware Representation Learning and Adaptive Horizon Prediction.

Shaofei Cai, Zihao Wang, Xiaojian Ma, Anji Liu, Yitao Liang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Out-of-Distribution Generalization by Neural-Symbolic Joint Training.

Anji Liu, Hongming Xu, Guy Van den Broeck, Yitao Liang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Tractable and Expressive Generative Models of Genetic Variation Data.

Meihua Dang, Anji Liu, Xinzhu Wei, Sriram Sankararaman, Guy Van den Broeck

Proceedings of the Research in Computational Molecular Biology, 2022

Efficient Meta Reinforcement Learning for Preference-based Fast Adaptation.

Zhizhou Ren, Anji Liu, Yitao Liang, Jian Peng, Jianzhu Ma

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Sparse Probabilistic Circuits via Pruning and Growing.

Meihua Dang, Anji Liu, Guy Van den Broeck

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Lossless Compression with Probabilistic Circuits.

Anji Liu, Stephan Mandt, Guy Van den Broeck

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

A Compositional Atlas of Tractable Circuit Operations: From Simple Transformations to Complex Information-Theoretic Queries.

Antonio Vergari, YooJung Choi, Anji Liu, Stefano Teso, Guy Van den Broeck

CoRR, 2021

A Compositional Atlas of Tractable Circuit Operations for Probabilistic Inference.

Antonio Vergari, YooJung Choi, Anji Liu, Stefano Teso, Guy Van den Broeck

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Tractable Regularization of Probabilistic Circuits.

Anji Liu, Guy Van den Broeck

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

On Effective Parallelization of Monte Carlo Tree Search.

Anji Liu, Yitao Liang, Ji Liu, Guy Van den Broeck, Jianshu Chen

CoRR, 2020

Watch the Unobserved: A Simple Approach to Parallelizing Monte Carlo Tree Search.

Anji Liu, Jianshu Chen, Mingze Yu, Yu Zhai, Xuewen Zhou, Ji Liu

Proceedings of the 8th International Conference on Learning Representations, 2020

Off-Policy Deep Reinforcement Learning with Analogous Disentangled Exploration.

Anji Liu, Yitao Liang, Guy Van den Broeck

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

2018

Balance gate controlled deep neural network.

Anji Liu, Yuanjun Laili

Neurocomputing, 2018