Emily Jin

16 papers A* 6A 1B 1Journal 8
YearRankTypeTitle / Venue / Authors
2025 J jnl
From Programs to Poses: Factored Real-World Scene Generation via Learned Program Libraries.
CoRR
Joy Hsu, Emily Jin, Jiajun Wu, Niloy J. Mitra
2025 A* conf
Homomorphism Counts as Structural Encodings for Graph Learning.
ICLR
Linus Bao, Emily Jin, Michael M. Bronstein, Ismail Ilkan Ceylan, Matthias Lanzinger
2025 J jnl
OXtal: An All-Atom Diffusion Model for Organic Crystal Structure Prediction.
CoRR
Emily Jin, Andrei Cristian Nica, Mikhail Galkin, Jarrid Rector-Brooks, Kin Long Kelvin Lee, Santiago Miret, Frances H. Arnold, Michael M. Bronstein, Avishek Joey Bose, Alexander Tong, Cheng-Hao Liu
2025 A* conf
Predicate Hierarchies Improve Few-Shot State Classification.
ICLR
Emily Jin, Joy Hsu, Jiajun Wu
2025 J jnl
Predicate Hierarchies Improve Few-Shot State Classification.
CoRR
Emily Jin, Joy Hsu, Jiajun Wu
2024 J jnl
Homomorphism Counts as Structural Encodings for Graph Learning.
CoRR
Linus Bao, Emily Jin, Michael M. Bronstein, Ismail Ilkan Ceylan, Matthias Lanzinger
2024 A* conf
Homomorphism Counts for Graph Neural Networks: All About That Basis.
ICML
Emily Jin, Michael M. Bronstein, Ismail Ilkan Ceylan, Matthias Lanzinger
2024 J jnl
Homomorphism Counts for Graph Neural Networks: All About That Basis.
CoRR
Emily Jin, Michael M. Bronstein, Ismail Ilkan Ceylan, Matthias Lanzinger
2024 A* conf
MARPLE: A Benchmark for Long-Horizon Inference.
NeurIPS
Emily Jin, Zhuoyi Huang, Jan-Philipp Fränken, Weiyu Liu, Hannah Cha, Erik Brockbank, Sarah A. Wu, Ruohan Zhang, Jiajun Wu, Tobias Gerstenberg
2024 J jnl
MARPLE: A Benchmark for Long-Horizon Inference.
CoRR
Emily Jin, Zhuoyi Huang, Jan-Philipp Fränken, Weiyu Liu, Hannah Cha, Erik Brockbank, Sarah A. Wu, Ruohan Zhang, Jiajun Wu, Tobias Gerstenberg
2024 B conf
Whodunnit? Inferring what happened from multimodal evidence.
CogSci
Sarah A. Wu, Erik Brockbank, Hannah Cha, Jan-Philipp Fränken, Emily Jin, Zhuoyi Huang, Weiyu Liu, Ruohan Zhang, Jiajun Wu, Tobias Gerstenberg
2023 J jnl
Mini-BEHAVIOR: A Procedurally Generated Benchmark for Long-horizon Decision-Making in Embodied AI.
CoRR
Emily Jin, Jiaheng Hu, Zhuoyi Huang, Ruohan Zhang, Jiajun Wu, Li Fei-Fei, Roberto Martín-Martín
2023 A conf
Modeling Dynamic Environments with Scene Graph Memory.
AAMAS
Andrey Kurenkov, Michael Lingelbach, Tanmay Agarwal, Chengshu Li, Emily Jin, Ruohan Zhang, Li Fei-Fei, Jiajun Wu, Silvio Savarese, Roberto Martín-Martín
2023 A* conf
Modeling Dynamic Environments with Scene Graph Memory.
ICML
Andrey Kurenkov, Michael Lingelbach, Tanmay Agarwal, Emily Jin, Chengshu Li, Ruohan Zhang, Li Fei-Fei, Jiajun Wu, Silvio Savarese, Roberto Martín-Martín
2023 J jnl
Modeling Dynamic Environments with Scene Graph Memory.
CoRR
Andrey Kurenkov, Michael Lingelbach, Tanmay Agarwal, Chengshu Li, Emily Jin, Ruohan Zhang, Fei-Fei Li, Jiajun Wu, Silvio Savarese, Roberto Martín-Martín
2022 A* conf
MOMA-LRG: Language-Refined Graphs for Multi-Object Multi-Actor Activity Parsing.
NeurIPS
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