Tight Lower Bounds on Worst-Case Guarantees for Zero-Shot Learning with Attributes. - Alessio Mazzetto; Cristina Menghini; Andrew Yuan; Eli Upfal; Stephen H. Bach (NeurIPS, 2022)

Assigning Agents to Increase Network-Based Neighborhood Diversity. - Zirou Qiu; Andrew Yuan; Chen Chen 022; Madhav V. Marathe; S. S. Ravi; Daniel J. Rosenkrantz; Richard Edwin Stearns; Anil Vullikanti (AAMAS, 2023)

Future Lens: Anticipating Subsequent Tokens from a Single Hidden State. - Koyena Pal; Jiuding Sun; Andrew Yuan; Byron C. Wallace; David Bau (CoNLL, 2023)

Dropout Attacks. - Andrew Yuan; Alina Oprea; Cheng Tan (SP, 2024)

CTRQNets & LQNets: Continuous Time Recurrent and Liquid Quantum Neural Networks. - Alejandro Mayorga; Alexander Yuan; Andrew Yuan; Tyler Wooldridge; Xiaodi Wang (CoRR, 2024)

FameBias: Embedding Manipulation Bias Attack in Text-to-Image Models. - Jaechul Roh; Andrew Yuan; Jinsong Mao (CoRR, 2024)