Li, Michelle

5 publications

ICLRW 2025 Diagnostic Uncertainty: Teaching Language Models to Describe Open-Ended Uncertainty Brian Sui, Jessy Lin, Michelle Li, Anca Dragan, Dan Klein, Jacob Steinhardt

LoG 2023 The Second Learning on Graphs Conference: Preface Soledad Villar, Benjamin Chamberlain, Yuanqi Du, Hannes St"ark, Chaitanya K. Joshi, Andreea Deac, Iulia Duta, Joshua Robinson, Yanqiao Zhu, Kexin Huang, Michelle Li, Sofia Bourhim, Ilia Igashov, Alexandre Duval, Mathieu Alain, Dominique Beaini, Xinyu Yuan

NeurIPS 2023 The Waymo Open Sim Agents Challenge Nico Montali, John Lambert, Paul Mougin, Alex Kuefler, Nicholas Rhinehart, Michelle Li, Cole Gulino, Tristan Emrich, Zoey Yang, Shimon Whiteson, Brandyn White, Dragomir Anguelov

LoG 2022 The First Learning on Graphs Conference: Preface Bastian Rieck, Razvan Pascanu, Yuanqi Du, Hannes Stärk, Derek Lim, Chaitanya K. Joshi, Andreea Deac, Iulia Duta, Joshua Robinson, Gabriele Corso, Leonardo Cotta, Yanqiao Zhu, Kexin Huang, Michelle Li, Sofia Bourhim, Ilia Igashov

NeurIPS 2020 Subgraph Neural Networks Emily Alsentzer, Samuel Finlayson, Michelle Li, Marinka Zitnik