Lisa Lee

Please see my Google Scholar page for an up-to-date list of publications.

Machine Learning Research

• Multi-Game Decision Transformers [arXiv] [Blog]
  Kuang-Huei Lee, Ofir Nachum, Mengjiao Yang, Lisa Lee, Daniel Freeman, Winnie Xu, Sergio Guadarrama, Ian Fischer, Eric Jang, Henryk Michalewski, Igor Mordatch
  NeurIPS 2022, Oral
• Instruction-Following Agents with Jointly Pre-Trained Vision-Language Models [arXiv]
  Hao Liu, Lisa Lee, Kimin Lee, Pieter Abbeel
  Preprint, 2022
• FCM: Forgetful Causal Masking Makes Causal Language Models Better Zero-Shot Learners [arXiv]
  Hao Liu, Xinyang Geng, Lisa Lee, Igor Mordatch, Sergey Levine, Sharan Narang, Pieter Abbeel
  Preprint, 2022
• Multimodal Masked Autoencoders Learn Transferable Representations [arXiv]
  Xinyang Geng, Hao Liu, Lisa Lee, Dale Schuurmans, Sergey Levine, Pieter Abbeel
  Preprint, 2022
• Learning Embodied Agents with Scalably-Supervised Reinforcement Learning [PDF]
  Lisa Lee's PhD Thesis 2021
  Thesis Committee: Ruslan Salakhutdinov (CMU), Eric Xing (CMU), Chelsea Finn (Stanford), Sergey Levine (UC Berkeley)
• Weakly-Supervised Reinforcement Learning for Controllable Behavior [arXiv] [poster]
  Lisa Lee, Benjamin Eysenbach, Ruslan Salakhutdinov, Shane Gu, Chelsea Finn
  NeurIPS 2020
• f-IRL: Inverse Reinforcement Learning via State Marginal Matching [arXiv]
  Tianwei Ni, Harshit Sikchi, Yufei Wang, Tejus Gupta, Lisa Lee, Benjamin Eysenbach.
  CoRL 2020
• Efficient Exploration via State Marginal Matching [arXiv] [slides] [website]
  Lisa Lee*, Benjamin Eysenbach*, Emilio Parisotto, Ruslan Salakhutdinov, Sergey Levine
  Presented as two Contributed Talks at SPiRL and TARL workshops at ICLR 2019.
• Embodied Multimodal Multitask Learning [arXiv] [website]
  Devendra Chaplot, Lisa Lee, Ruslan Salakhutdinov, Devi Parikh, Dhruv Batra
  IJCAI 2020
• On the Complexity of Exploration in Goal-Driven Navigation [arXiv] [poster]
  Lisa Lee*, Maruan Al-Shedivat*, Ruslan Salakhutdinov, Eric Xing
  NIPS 2018 Workshop on Relational Representation Learning
• Gated Path Planning Networks [arXiv] [GitHub] [slides]
  Lisa Lee*, Emilio Parisotto*, Devendra Singh Chaplot, Eric Xing, Ruslan Salakhutdinov
  ICML 2018
• Dual Motion GAN for Future-Flow Embedded Video Prediction [arXiv]
  Xiaodan Liang, Lisa Lee, Wei Dai, Eric P. Xing
  ICCV 2017
• Deep Variation-structured Reinforcement Learning for Visual Relationship & Attribute Detection [arXiv]
  Xiaodan Liang, Lisa Lee, Eric P. Xing
  CVPR 2017, Spotlight Paper
• Combining LSTM and Latent Topic Modeling for Mortality Prediction [arXiv]
  Yohan Jo*, Lisa Lee*, Shruti Palaskar
  
• On the Linear Algebraic Structure of Distributed Word Representations [arXiv]
  Lisa Lee
  Senior thesis at Princeton University, advised by Sanjeev Arora.
• Robotic Search & Rescue via Online Multi-Task Reinforcement Learning [arXiv] [GitHub]
  Lisa Lee
  National Science Foundation REU 2014 at UPenn GRASP Robotics Lab
  As a fun side project, I programmed the robot to follow my Pikachu around the lab.

Mathematics Research

• Recognizing signed-graphic matroids: Cylinder flips and the importance of column scaling [arXiv]
  Lisa Lee
  Junior-year thesis at Princeton University, advised by Stefan van Zwam.
• Coxeter matroids [PDF]
  Lisa Lee
  Exposition for junior seminar on Coxeter groups: algebra, combinatorics, and geometry (Fall 2013)
• Whitney numbers of the first kind and the f-vector [PDF]
  Lisa Lee, Mariya Sardarli
  Princeton Summer Math Research 2013, advised by Stefan van Zwam.