Jennifer She

Researcher, Google DeepMind

MS student, Stanford University

Joined

September 2018

Names

Jennifer She (Preferred)

Emails

****@gmail.com (Confirmed)

Personal Links

Google Scholar

DBLP

Career & Education History

Researcher

Google DeepMind (google.com)

2020 – Present

MS student

Stanford University (stanford.edu)

2018 – Present

Advisors, Relations & Conflicts

No relations added

Expertise

No areas of expertise listed

Publications

TF-GNN: Graph Neural Networks in TensorFlow
OLEKSANDR FERLUDIN, Arno Eigenwillig, Martin Blais, Dustin Zelle, Jan Pfeifer, Alvaro Sanchez-Gonzalez, Wai Lok Sibon Li, Sami Abu-El-Haija, Peter Battaglia, Neslihan Bulut, Jonathan Halcrow, Filipe Miguel Goncalves de Almeida, Pedro Gonnet, Liangze Jiang, Parth Kothari, Silvio Lattanzi, André Linhares, Brandon A. Mayer, Vahab Mirrokni, John Palowitch et al. (6 additional authors not shown)
- CoRR 2023
- Readers: Everyone
Analyzing and Improving Greedy 2-Coordinate Updates For Equality-Constrained Optimization via Steepest Descent in the 1-Norm
Amrutha Varshini Ramesh, Aaron Mishkin, Mark Schmidt, Yihan Zhou, Jonathan Wilder Lavington, Jennifer She
- Submitted to NeurIPS 2023
- Readers: Everyone
TF-GNN: Graph Neural Networks in TensorFlow
Oleksandr Ferludin, Arno Eigenwillig, Martin Blais, Dustin Zelle, Jan Pfeifer, Alvaro Sanchez-Gonzalez, Wai Lok Sibon Li, Sami Abu-El-Haija, Peter W. Battaglia, Neslihan Bulut, Jonathan Halcrow, Filipe Miguel Gonçalves de Almeida, Silvio Lattanzi, André Linhares, Brandon Mayer, Vahab S. Mirrokni, John Palowitch, Mihir Paradkar, Jennifer She, Anton Tsitsulin et al. (4 additional authors not shown)
- Published: 01 Jan 2022, Last Modified: 12 May 2023
- CoRR 2022
- Readers: Everyone
Agent-Time Attention for Sparse Rewards Multi-Agent Reinforcement Learning
Jennifer She, Jayesh K. Gupta, Mykel J. Kochenderfer
- Published: 01 Jan 2022, Last Modified: 17 May 2023
- AAMAS 2022
- Readers: Everyone
Agent-Time Attention for Sparse Rewards Multi-Agent Reinforcement Learning
Jennifer She, Jayesh K. Gupta, Mykel J. Kochenderfer
- Published: 01 Jan 2022, Last Modified: 17 May 2023
- CoRR 2022
- Readers: Everyone
ETA Prediction with Graph Neural Networks in Google Maps
Austin Derrow-Pinion, Jennifer She, David Wong, Oliver Lange, Todd Hester, Luis Perez, Marc Nunkesser, Seongjae Lee, Xueying Guo, Brett Wiltshire, Peter W. Battaglia, Vishal Gupta, Ang Li, Zhongwen Xu, Alvaro Sanchez-Gonzalez, Yujia Li, Petar Velickovic
- 2021 (modified: 23 Aug 2022)
- CIKM 2021
- Readers: Everyone
ETA Prediction with Graph Neural Networks in Google Maps
Austin Derrow-Pinion, Jennifer She, David Wong, Oliver Lange, Todd Hester, Luis Perez, Marc Nunkesser, Seongjae Lee, Xueying Guo, Brett Wiltshire, Peter W. Battaglia, Vishal Gupta, Ang Li, Zhongwen Xu, Alvaro Sanchez-Gonzalez, Yujia Li, Petar Velickovic
- Published: 01 Jan 2021, Last Modified: 17 May 2023
- CoRR 2021
- Readers: Everyone
Adversarial Computation of Optimal Transport Maps
Jacob Leygonie, Jennifer She, Amjad Almahairi, Sai Rajeswar, Aaron C. Courville
- Published: 01 Jan 2019, Last Modified: 17 May 2023
- CoRR 2019
- Readers: Everyone

Co-Authors

View all 55 co-authors