Alexander Ladd

Publication Activity (10 Years)

Years Active: 2021-2023
Publications (10 Years): 5

Top Topics

Evolutionary Algorithm

Mutation Operator

Top Venues

Frontiers Neuroinformatics

Publications

Fengxue Zhang, Jialin Song, James C. Bowden, Alexander Ladd, Yisong Yue, Thomas A. Desautels, Yuxin Chen
Learning Regions of Interest for Bayesian Optimization with Adaptive Level-Set Estimation. CoRR (2023)
Fengxue Zhang, Jialin Song, James C. Bowden, Alexander Ladd, Yisong Yue, Thomas Desautels, Yuxin Chen
Learning Regions of Interest for Bayesian Optimization with Adaptive Level-Set Estimation. ICML (2023)
Alexander Ladd, Indrasis Chakraborty
gridds: a data science toolkit for energy grid machine learning. e-Energy (2022)
Alexander Ladd, Kyung Geun Kim, Jan Balewski, Kristofer E. Bouchard, Roy Ben-Shalom
Scaling and Benchmarking an Evolutionary Algorithm for Constructing Biophysical Neuronal Models. Frontiers Neuroinformatics 16 (2022)
Alexander Ladd, Kwan Ho Ryan Chan, Sam Nguyen, Jose Cadena, Brenda Ng
End-to-End Framework for Imputation and State Discovery in Longitudinal Energy Data. e-Energy (2021)