Accelerated Charged Particle Tracking with Graph Neural Networks on FPGAs. - Aneesh Heintz; Vesal Razavimaleki; Javier M. Duarte; Gage DeZoort; Isobel Ojalvo; Savannah Thais; Markus Atkinson; Mark S. Neubauer; Lindsey Gray; Sergo Jindariani; Nhan Tran; Philip C. Harris; et al. (CoRR, 2020)

Graph Neural Networks for Charged Particle Tracking on FPGAs. - Abdelrahman Elabd; Vesal Razavimaleki; Shi-Yu Huang; Javier M. Duarte; Markus Atkinson; Gage DeZoort; Peter Elmer; Jin-Xuan Hu; Shih-Chieh Hsu; Bo-Cheng Lai; Mark S. Neubauer; Isobel Ojalvo; et al. (CoRR, 2021)

Charged Particle Tracking via Edge-Classifying Interaction Networks. - Gage DeZoort; Savannah Thais; Javier M. Duarte; Vesal Razavimaleki; Markus Atkinson; Isobel Ojalvo; Mark S. Neubauer; Peter Elmer (Comput. Softw. Big Sci., 2021)

Graph Neural Networks for Charged Particle Tracking on FPGAs. - Abdelrahman Elabd; Vesal Razavimaleki; Shi-Yu Huang; Javier M. Duarte; Markus Atkinson; Gage DeZoort; Peter Elmer; Scott Hauck; Jin-Xuan Hu; Shih-Chieh Hsu; Bo-Cheng Lai; Mark S. Neubauer; et al. (Frontiers Big Data, 2022)

Knowledge Distillation for Anomaly Detection. - Adrian Alan Pol; Ekaterina Govorkova; Sonja Grönroos; Nadezda Chernyavskaya; Philip C. Harris; Maurizio Pierini; Isobel Ojalvo; Peter Elmer (ESANN, 2023)

Symbolic Regression on FPGAs for Fast Machine Learning Inference. - Ho Fung Tsoi; Adrian Alan Pol; Vladimir Loncar; Ekaterina Govorkova; Miles D. Cranmer; Sridhara Dasu; Peter Elmer; Philip C. Harris; Isobel Ojalvo; Maurizio Pierini (CoRR, 2023)