Anji Liu
27 papers · 2020–2026 · 7 conferences · across top CS/AI conferences
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Conferences
ICLR (8)
NIPS (7)
ICML (4)
AAAI (3)
CVPR (3)
ACL (1)
ICCV (1)
Top co-authors
Keywords
generative model
(4)
tractable inference
(3)
probabilistic circuit
(3)
variational inference
(2)
reinforcement learning
(2)
multi-task learning
(2)
spatial reasoning
(2)
zero-shot generalization
(2)
large language model
(2)
multi-agent system
(2)
tractable model
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multimodal learning
(1)
autoregressive transformer
(1)
supervised learning
(1)
knowledge distillation
(1)
self-supervised learning
(1)
offline reinforcement learning
(1)
probabilistic inference
(1)
out-of-distribution generalization
(1)
density estimation
(1)
Papers
Steering Visuomotor Policy in Open Worlds via Cross-View Goal Alignment
AAAI 2026
Open-World Skill Discovery from Unsegmented Demonstration Videos
ICCV 2025
ROCKET-1: Mastering Open-World Interaction with Visual-Temporal Context Prompting
CVPR 2025
Learning to Discretize Denoising Diffusion ODEs
ICLR 2025
Discrete Copula Diffusion
ICLR 2025
GROOT-2: Weakly Supervised Multimodal Instruction Following Agents
ICLR 2025
Tractable Transformers for Flexible Conditional Generation
ICML 2025
OmniJARVIS: Unified Vision-Language-Action Tokenization Enables Open-World Instruction Following Agents
NIPS 2024
ProAgent: Building Proactive Cooperative Agents with Large Language Models
AAAI 2024
Combining Supervised Learning and Reinforcement Learning for Multi-Label Classification Tasks with Partial Labels
ACL 2024
Smart Help: Strategic Opponent Modeling for Proactive and Adaptive Robot Assistance in Households
CVPR 2024
Image Inpainting via Tractable Steering of Diffusion Models
ICLR 2024
GROOT: Learning to Follow Instructions by Watching Gameplay Videos
ICLR 2024
Efficient Adaptation in Mixed-Motive Environments via Hierarchical Opponent Modeling and Planning
ICML 2024
Scaling Tractable Probabilistic Circuits: A Systems Perspective
ICML 2024
A Tractable Inference Perspective of Offline RL
NIPS 2024
Scaling Up Probabilistic Circuits by Latent Variable Distillation
ICLR 2023
Describe, Explain, Plan and Select: Interactive Planning with LLMs Enables Open-World Multi-Task Agents
NIPS 2023
Out-of-Distribution Generalization by Neural-Symbolic Joint Training
AAAI 2023
Open-World Multi-Task Control Through Goal-Aware Representation Learning and Adaptive Horizon Prediction
CVPR 2023
Understanding the Distillation Process from Deep Generative Models to Tractable Probabilistic Circuits
ICML 2023
Efficient Meta Reinforcement Learning for Preference-based Fast Adaptation
NIPS 2022
Sparse Probabilistic Circuits via Pruning and Growing
NIPS 2022
Lossless Compression with Probabilistic Circuits
ICLR 2022
A Compositional Atlas of Tractable Circuit Operations for Probabilistic Inference
NIPS 2021
Tractable Regularization of Probabilistic Circuits
NIPS 2021
Watch the Unobserved: A Simple Approach to Parallelizing Monte Carlo Tree Search
ICLR 2020