Emily Jin

According to our database, Emily Jin authored at least 6 papers between 2022 and 2024.

Collaborative distances:

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

2024

Homomorphism Counts as Structural Encodings for Graph Learning.

Linus Bao, Emily Jin, Michael M. Bronstein, Ismail Ilkan Ceylan, Matthias Lanzinger

CoRR, 2024

MARPLE: A Benchmark for Long-Horizon Inference.

Emily Jin, Zhuoyi Huang, Jan-Philipp Fränken, Weiyu Liu, Hannah Cha, Erik Brockbank, Sarah Wu, Ruohan Zhang, Jiajun Wu, Tobias Gerstenberg

CoRR, 2024

Homomorphism Counts for Graph Neural Networks: All About That Basis.

Emily Jin, Michael M. Bronstein, Ismail Ilkan Ceylan, Matthias Lanzinger

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

2023

Mini-BEHAVIOR: A Procedurally Generated Benchmark for Long-horizon Decision-Making in Embodied AI.

Emily Jin, Jiaheng Hu, Zhuoyi Huang, Ruohan Zhang, Jiajun Wu, Li Fei-Fei, Roberto Martín-Martín

CoRR, 2023

Modeling Dynamic Environments with Scene Graph Memory.

Andrey Kurenkov, Michael Lingelbach, Tanmay Agarwal, Emily Jin, Chengshu Li, Ruohan Zhang, Li Fei-Fei, Jiajun Wu, Silvio Savarese, Roberto Martín-Martín

Proceedings of the International Conference on Machine Learning, 2023

2022

MOMA-LRG: Language-Refined Graphs for Multi-Object Multi-Actor Activity Parsing.

Zelun Luo, Zane Durante, Linden Li, Wanze Xie, Ruochen Liu, Emily Jin, Zhuoyi Huang, Lun Yu Li, Jiajun Wu, Juan Carlos Niebles, Ehsan Adeli, Fei-Fei Li

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