Tonio Buonassisi

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 25

Top Topics

Bayesian Inference

Monte Carlo Sampling

Top Venues

IEEE Internet Things J.

Comput. Phys. Commun.

Publications

Sarah J. Zhang, Samuel Florin, Ariel N. Lee, Eamon Niknafs, Andrei Marginean, Annie Wang, Keith Tyser, Zad Chin, Yann Hicke, Nikhil Singh, Madeleine Udell, Yoon Kim, Tonio Buonassisi, Armando Solar-Lezama, Iddo Drori
Exploring the MIT Mathematics and EECS Curriculum Using Large Language Models. CoRR (2023)
Alexander E. Siemenn, Tonio Buonassisi
Decreasing the Computing Time of Bayesian Optimization using Generalizable Memory Pruning. CoRR (2023)
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)
Alexander E. Siemenn, Eunice Aissi, Fang Sheng, Armi Tiihonen, Hamide Kavak, Basita Das, Tonio Buonassisi
Vision-driven Autocharacterization of Perovskite Semiconductors. CoRR (2023)
Alexander E. Siemenn, Tonio Buonassisi
Decreasing the Computing Time of Bayesian Optimization Using Generalizable Memory Pruning. HPEC (2023)
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 (2022)
Sai Nithin Reddy Kantareddy, Rahul Bhattacharya, Sanjay E. Sarma, Ian Mathews, Janak Thapa, Liu Zhe, Shijing Sun, Ian Marius Peters, Tonio Buonassisi
Introducing flexible perovskites to the IoT world using photovoltaic-powered wireless tags. CoRR (2022)
Siyu Isaac Parker Tian, Zekun Ren, Selvaraj Venkataraj, Yuanhang Cheng, Daniil Bash, Felipe Oviedo, J. Senthilnath, Vijila Chellappan, Yee-Fun Lim, Armin G. Aberle, Benjamin P. MacLeod, Fraser G. L. Parlane, Curtis P. Berlinguette, Qianxiao Li, Tonio Buonassisi, Zhe Liu
Transfer Learning for Rapid Extraction of Thickness from Optical Spectra of Semiconductor Thin Films. CoRR (2022)
Alexander E. Siemenn, Zekun Ren, Qianxiao Li, Tonio Buonassisi
Fast Bayesian Optimization of Needle-in-a-Haystack Problems using Zooming Memory-Based Initialization. CoRR (2022)
Felipe Oviedo, Juan Lavista Ferres, Tonio Buonassisi, Keith Butler
Interpretable and Explainable Machine Learning for Materials Science and Chemistry. CoRR (2021)
Rishi E. Kumar, Armi Tiihonen, Shijing Sun, David P. Fenning, Zhe Liu, Tonio Buonassisi
Opportunities for Machine Learning to Accelerate Halide Perovskite Commercialization and Scale-Up. CoRR (2021)
Alexander E. Siemenn, Matthew Beveridge, Tonio Buonassisi, Iddo Drori
Online Preconditioning of Experimental Inkjet Hardware by Bayesian Optimization in Loop. CoRR (2021)
Zhe Liu, Nicholas Rolston, Austin C. Flick, Thomas Colburn, Zekun Ren, Reinhold H. Dauskardt, Tonio Buonassisi
Machine Learning with Knowledge Constraints for Process Optimization of Open-Air Perovskite Solar Cell Manufacturing. CoRR (2021)
Alexander E. Siemenn, Evyatar Shaulsky, Matthew Beveridge, Tonio Buonassisi, Sara M. Hashmi, Iddo Drori
Autonomous Optimization of Fluid Systems at Varying Length Scales. CoRR (2021)
Xiaoli Liu, Yang Xu, Jiali Li, Xuanwei Ong, Salwa Ali Ibrahim, Tonio Buonassisi, Xiaonan Wang
A robust low data solution: Dimension prediction of semiconductor nanorods. Comput. Chem. Eng. 150 (2021)
Qiaohao Liang, Aldair E. Gongora, Zekun Ren, Armi Tiihonen, Zhe Liu, Shijing Sun, James R. Deneault, Daniil Bash, Flore Mekki-Berrada, Saif A. Khan, Kedar Hippalgaonkar, Benji Maruyama, Keith A. Brown, John Fisher III, Tonio Buonassisi
Benchmarking the Performance of Bayesian Optimization across Multiple Experimental Materials Science Domains. CoRR (2021)
Zekun Ren, Juhwan Noh, Siyu I. P. Tian, Felipe Oviedo, Guangzong Xing, Qiaohao Liang, Armin Aberle, Yi Liu, Qianxiao Li, Senthilnath Jayavelu, Kedar Hippalgaonkar, Yousung Jung, Tonio Buonassisi
Inverse design of crystals using generalized invertible crystallographic representation. CoRR (2020)
Xiaoli Liu, Yang Xu, Jiali Li, Xuanwei Ong, Salwa Ali Ibrahim, Tonio Buonassisi, Xiaonan Wang
A robust low data solution: dimension prediction of semiconductor nanorods. CoRR (2020)
Sai Nithin R. Kantareddy, Ian Mathews, Rahul Bhattacharyya, Ian Marius Peters, Tonio Buonassisi, Sanjay E. Sarma
Long Range Battery-Less PV-Powered RFID Tag Sensors. IEEE Internet Things J. 6 (4) (2019)
Sai Nithin R. Kantareddy, Ian Mathews, Rahul Bhattacharyya, Ian Marius Peters, Tonio Buonassisi, Sanjay E. Sarma
Long range battery-less PV-powered RFID tag sensors. CoRR (2019)
Sai Nithin R. Kantareddy, Ian Mathews, Shijing Sun, Mariya Layurova, Janak Thapa, Juan Pablo Correa-Baena, Rahul Bhattacharyya, Tonio Buonassisi, Sanjay E. Sarma, Ian Marius Peters
Perovskite PV-powered RFID: enabling low-cost self-powered IoT sensors. CoRR (2019)
Rachel Kurchin, Giuseppe Romano, Tonio Buonassisi
Bayesim: A tool for adaptive grid model fitting with Bayesian inference. Comput. Phys. Commun. 239 (2019)
Jatin Nitin Kumar, Qianxiao Li, Karen Y. T. Tang, Tonio Buonassisi, Anibal L. Gonzalez-Oyarce, Jun Ye
Machine learning enables polymer cloud-point engineering via inverse design. CoRR (2018)
Juan Pablo Correa-Baena, Kedar Hippalgaonkar, Jeroen van Duren, Shaffiq Jaffer, Vijay Ramaseshan Chandrasekhar, Vladan Stevanovic, Cyrus Wadia, Supratik Guha, Tonio Buonassisi
Accelerating Materials Development via Automation, Machine Learning, and High-Performance Computing. CoRR (2018)
Felipe Oviedo, Zekun Ren, Shijing Sun, Charlie Settens, Zhe Liu, Noor Titan Putri Hartono, Ramasamy Savitha, Brian L. DeCost, Siyu I. P. Tian, Giuseppe Romano, Aaron Gilad Kusne, Tonio Buonassisi
Fast classification of small X-ray diffraction datasets using data augmentation and deep neural networks. CoRR (2018)