Pareto-Optimal Quantized ResNet Is Mostly 4-Bit. - AmirAli Abdolrashidi; Lisa Wang; Shivani Agrawal; Jonathan Malmaud; Oleg Rybakov; Chas Leichner; Lukasz Lew (CVPR Workshops, 2021)

Data-Free Neural Architecture Search via Recursive Label Calibration. - Zechun Liu; Zhiqiang Shen; Yun Long; Eric P. Xing; Kwang-Ting Cheng; Chas Leichner (ECCV (24), 2022)

PikeLPN: Mitigating Overlooked Inefficiencies of Low-Precision Neural Networks. - Marina Neseem; Conor McCullough; Randy Hsin; Chas Leichner; Shan Li 001; In Suk Chong; Andrew G. Howard; Lukasz Lew; Sherief Reda; Ville-Mikko Rautio; Daniele Moro (CVPR, 2024)

MobileNetV4: Universal Models for the Mobile Ecosystem. - Danfeng Qin; Chas Leichner; Manolis Delakis; Marco Fornoni; Shixin Luo; Fan Yang; Weijun Wang; Colby R. Banbury; Chengxi Ye; Berkin Akin; Vaibhav Aggarwal; Tenghui Zhu; et al. (ECCV (40), 2024)

Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities. - Gheorghe Comanici; Eric Bieber; Mike Schaekermann; Ice Pasupat; Noveen Sachdeva; Inderjit S. Dhillon; Marcel Blistein; Ori Ram; Dan Zhang; Evan Rosen; Luke Marris; Sam Petulla; et al. (CoRR, 2025)