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Anji Liu
Publication Activity (10 Years)
Years Active: 2018-2024
Publications (10 Years): 30
Top Topics
Open World
Conditionally Independent
Generative Model
Diffusion Models
Top Venues
CoRR
NeurIPS
ICLR
AAMAS
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Publications
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Anji Liu
,
Mathias Niepert
,
Guy Van den Broeck
Image Inpainting via Tractable Steering of Diffusion Models.
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)