Anji Liu
28 papers · 2020–2026 · 7 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
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Research topics
Artificial Intelligence
(21)
Machine Learning
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Core AI
(13)
Deep Learning
(12)
Models
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Core Methods
(8)
Bayesian & Probabilistic
(7)
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Optimization & Theory
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Computer Vision
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Keywords
probabilistic circuit
(7)
generative model
(5)
tractable inference
(4)
neural network
(3)
instruction following
(3)
reinforcement learning
(3)
diffusion model
(3)
tractable probabilistic model
(2)
spatial reasoning
(2)
tractable model
(2)
variational inference
(2)
deep generative model
(2)
multi-task learning
(2)
few-shot adaptation
(2)
zero-shot generalization
(2)
opponent modeling
(2)
monte carlo tree search
(2)
video understanding
(2)
autoregressive model
(2)
knowledge distillation
(2)
Papers
Steering Visuomotor Policy in Open Worlds via Cross-View Goal Alignment
AAAI 2026
Training One Model to Master Cross-Level Agentic Actions via Reinforcement Learning
CVPR 2026
Discrete Copula Diffusion
ICLR 2025
GROOT-2: Weakly Supervised Multimodal Instruction Following Agents
ICLR 2025
Learning to Discretize Denoising Diffusion ODEs
ICLR 2025
Open-World Skill Discovery from Unsegmented Demonstration Videos
ICCV 2025
ROCKET-1: Mastering Open-World Interaction with Visual-Temporal Context Prompting
CVPR 2025
Tractable Transformers for Flexible Conditional Generation
ICML 2025
A Tractable Inference Perspective of Offline RL
NeurIPS 2024
Combining Supervised Learning and Reinforcement Learning for Multi-Label Classification Tasks with Partial Labels
ACL 2024
Efficient Adaptation in Mixed-Motive Environments via Hierarchical Opponent Modeling and Planning
ICML 2024
GROOT: Learning to Follow Instructions by Watching Gameplay Videos
ICLR 2024
Image Inpainting via Tractable Steering of Diffusion Models
ICLR 2024
OmniJARVIS: Unified Vision-Language-Action Tokenization Enables Open-World Instruction Following Agents
NeurIPS 2024
ProAgent: Building Proactive Cooperative Agents with Large Language Models
AAAI 2024
Scaling Tractable Probabilistic Circuits: A Systems Perspective
ICML 2024
Smart Help: Strategic Opponent Modeling for Proactive and Adaptive Robot Assistance in Households
CVPR 2024
Describe, Explain, Plan and Select: Interactive Planning with LLMs Enables Open-World Multi-Task Agents
NeurIPS 2023
Open-World Multi-Task Control Through Goal-Aware Representation Learning and Adaptive Horizon Prediction
CVPR 2023
Out-of-Distribution Generalization by Neural-Symbolic Joint Training
AAAI 2023
Scaling Up Probabilistic Circuits by Latent Variable Distillation
ICLR 2023
Understanding the Distillation Process from Deep Generative Models to Tractable Probabilistic Circuits
ICML 2023
Efficient Meta Reinforcement Learning for Preference-based Fast Adaptation
NeurIPS 2022
Lossless Compression with Probabilistic Circuits
ICLR 2022
Sparse Probabilistic Circuits via Pruning and Growing
NeurIPS 2022
A Compositional Atlas of Tractable Circuit Operations for Probabilistic Inference
NeurIPS 2021
Tractable Regularization of Probabilistic Circuits
NeurIPS 2021
Watch the Unobserved: A Simple Approach to Parallelizing Monte Carlo Tree Search
ICLR 2020