12 citations · 29 across the 14 of their papers we have counts for
3 papers · 1 filter
Harnessing the Power of Gradient-Based Simulations for Multi-Objective Optimization in Particle Accelerators
Kishansingh Rajput, Malachi Schram, Auralee Edelen +6
Particle accelerator operation requires simultaneous optimization of multiple objectives. Multi-Objective Optimization (MOO) is particularly challenging due to trade-offs between t…
SAGIPS: A Scalable Asynchronous Generative Inverse Problem Solver
Daniel Lersch, Malachi Schram, Zhenyu Dai +4
Large scale, inverse problem solving deep learning algorithms have become an essential part of modern research and industrial applications. The complexity of the underlying inverse…
Evaluating DTW Measures via a Synthesis Framework for Time-Series Data
Kishansingh Rajput, Duong Binh Nguyen, Guoning Chen
Time-series data originate from various applications that describe specific observations or quantities of interest over time. Their analysis often involves the comparison across di…