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Alexander E. Siemenn
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2020 – today
- 2023
- [c2]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, Newman Cheng, Roman Wang, Yann Hicke, Saisamrit Surbehera, Arvind Raghavan, Alexander E. Siemenn, Nikhil Singh, Jayson Lynch, Avi Shporer, Nakul Verma, Tonio Buonassisi, Armando Solar-Lezama:
A Dataset for Learning University STEM Courses at Scale and Generating Questions at a Human Level. AAAI 2023: 15921-15929 - [c1]Alexander E. Siemenn, Tonio Buonassisi:
Decreasing the Computing Time of Bayesian Optimization Using Generalizable Memory Pruning. HPEC 2023: 1-7 - [i6]Alexander E. Siemenn, Eunice Aissi, Fang Sheng, Armi Tiihonen, Hamide Kavak, Basita Das, Tonio Buonassisi:
Vision-driven Autocharacterization of Perovskite Semiconductors. CoRR abs/2304.14408 (2023) - [i5]Alexander E. Siemenn, Tonio Buonassisi:
Decreasing the Computing Time of Bayesian Optimization using Generalizable Memory Pruning. CoRR abs/2309.04510 (2023) - 2022
- [i4]Alexander E. Siemenn, Zekun Ren, Qianxiao Li, Tonio Buonassisi:
Fast Bayesian Optimization of Needle-in-a-Haystack Problems using Zooming Memory-Based Initialization. CoRR abs/2208.13771 (2022) - [i3]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, Armando Solar-Lezama
, Iddo Drori:
Human Evaluation of Text-to-Image Models on a Multi-Task Benchmark. CoRR abs/2211.12112 (2022) - 2021
- [i2]Alexander E. Siemenn, Matthew Beveridge, Tonio Buonassisi, Iddo Drori:
Online Preconditioning of Experimental Inkjet Hardware by Bayesian Optimization in Loop. CoRR abs/2105.02858 (2021) - [i1]Alexander E. Siemenn, Evyatar Shaulsky, Matthew Beveridge, Tonio Buonassisi, Sara M. Hashmi, Iddo Drori:
Autonomous Optimization of Fluid Systems at Varying Length Scales. CoRR abs/2105.13553 (2021)
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