Aaron Gilad Kusne

15 papers B 2Journal 12Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Quantum Kernel Machine Learning for Autonomous Materials Science.
CoRR
Felix Adams, Daiwei Zhu, David W. Steuerman, Aaron Gilad Kusne, Ichiro Takeuchi
2024 J jnl
Real-time experiment-theory closed-loop interaction for autonomous materials science.
CoRR
Haotong Liang, Chuangye Wang, Heshan Yu, Dylan Kirsch, Rohit Pant, Austin McDannald, Aaron Gilad Kusne, Ji-Cheng Zhao, Ichiro Takeuchi
2023 J jnl
Human-In-the-Loop for Bayesian Autonomous Materials Phase Mapping.
CoRR
Felix Adams, Austin McDannald, Ichiro Takeuchi, Aaron Gilad Kusne
2023 J jnl
Learning material synthesis-process-structure-property relationship by data fusion: Bayesian Coregionalization N-Dimensional Piecewise Function Learning.
CoRR
Aaron Gilad Kusne, Austin McDannald, Brian DeCost
2022 J jnl
A Low-Cost Robot Science Kit for Education with Symbolic Regression for Hypothesis Discovery and Validation.
CoRR
Logan Saar, Haotong Liang, Alex Wang, Austin McDannald, Efrain Rodriguez, Ichiro Takeuchi, Aaron Gilad Kusne
2022 B conf
Analyzing Data Privacy for Edge Systems.
SMARTCOMP
Olivera Kotevska, Jordan Johnson, Aaron Gilad Kusne
2022 J jnl
Benchmarking Active Learning Strategies for Materials Optimization and Discovery.
CoRR
Alex Wang, Haotong Liang, Austin McDannald, Ichiro Takeuchi, Aaron Gilad Kusne
2022 — conf
Privacy policy robustness to reverse engineering.
CIKM Workshops
Aaron Gilad Kusne, Olivera Kotevska
2022 J jnl
Scalable Multi-Agent Framework for Optimizing the Lab and Warehouse.
CoRR
Aaron Gilad Kusne, Austin McDannald
2021 J jnl
Physics in the Machine: Integrating Physical Knowledge in Autonomous Phase-Mapping.
CoRR
Aaron Gilad Kusne, Austin McDannald, Brian L. DeCost, Corey Oses, Cormac Toher, Stefano Curtarolo, Apurva Mehta, Ichiro Takeuchi
2020 J jnl
Scientific AI in materials science: a path to a sustainable and scalable paradigm.
Mach. Learn. Sci. Technol.
Brian DeCost, Jason Hattrick-Simpers, Zachary Trautt, Aaron Gilad Kusne, Eva Campo, Martin Green
2019 J jnl
Designing over uncertain outcomes with stochastic sampling Bayesian optimization.
CoRR
Peter D. Tonner, Daniel V. Samarov, Aaron Gilad Kusne
2019 B conf
Peak Area Detection Network for Directly Learning Phase Regions from Raw X-ray Diffraction Patterns.
IJCNN
Dipendra Jha, Aaron Gilad Kusne, Reda Al-Bahrani, Nam Nguyen, Wei-keng Liao, Alok N. Choudhary, Ankit Agrawal
2018 J jnl
Fast classification of small X-ray diffraction datasets using data augmentation and deep neural networks.
CoRR
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
2017 J jnl
Dynamic Network Model for Smart City Data-Loss Resilience Case Study: City-to-City Network for Crime Analytics.
IEEE Access
Olivera Kotevska, Aaron Gilad Kusne, Daniel V. Samarov, Ahmed Lbath, Abdella Battou