Online Preconditioning of Experimental Inkjet Hardware by Bayesian Optimization in Loop. - Alexander E. Siemenn; Matthew Beveridge; Tonio Buonassisi; Iddo Drori (CoRR, 2021)

Autonomous Optimization of Fluid Systems at Varying Length Scales. - Alexander E. Siemenn; Evyatar Shaulsky; Matthew Beveridge; Tonio Buonassisi; Sara M. Hashmi; Iddo Drori (CoRR, 2021)

Fast Bayesian Optimization of Needle-in-a-Haystack Problems using Zooming Memory-Based Initialization. - Alexander E. Siemenn; Zekun Ren; Qianxiao Li; Tonio Buonassisi (CoRR, 2022)

Human Evaluation of Text-to-Image Models on a Multi-Task Benchmark. - Vitali Petsiuk; Alexander E. Siemenn; Saisamrit Surbehera; Zad Chin; Keith Tyser; Gregory Hunter; Arvind Raghavan; Yann Hicke; Bryan A. Plummer; Ori Kerret; Tonio Buonassisi; Kate Saenko; et al. (CoRR, 2022)

A Dataset for Learning University STEM Courses at Scale and Generating Questions at a Human Level. - Iddo Drori; Sarah J. Zhang; Zad Chin; Reece Shuttleworth; Albert Lu; Linda Chen; Bereket Birbo; Michele He; Pedro Lantigua; Sunny Tran; Gregory Hunter; Bo Feng; et al. (AAAI, 2023)

Decreasing the Computing Time of Bayesian Optimization Using Generalizable Memory Pruning. - Alexander E. Siemenn; Tonio Buonassisi (HPEC, 2023)

Vision-driven Autocharacterization of Perovskite Semiconductors. - Alexander E. Siemenn; Eunice Aissi; Fang Sheng; Armi Tiihonen; Hamide Kavak; Basita Das; Tonio Buonassisi (CoRR, 2023)

Deep learning robotics using self-supervised spatial differentiation drive autonomous contact-based semiconductor characterization. - Alexander E. Siemenn; Basita Das; Kangyu Ji; Fang Sheng; Tonio Buonassisi (CoRR, 2024)