Keerti Kappagantula

Publication Activity (10 Years)

Years Active: 2021-2023
Publications (10 Years): 6

Top Topics

Machine Learning

Experimental Designs

Brownian Motion

Desirable Properties

Top Venues

Publications

Scott Howland, Lara Kassab, Keerti Kappagantula, Henry Kvinge, Tegan Emerson
Parameters, Properties, and Process: Conditional Neural Generation of Realistic SEM Imagery Towards ML-assisted Advanced Manufacturing. CoRR (2023)
James Koch, Woongjo Choi, Ethan King, David Garcia, Hrishikesh Das, Tianhao Wang, Ken Ross, Keerti Kappagantula
Neural Lumped Parameter Differential Equations with Application in Friction-Stir Processing. CoRR (2023)
Elizabeth Coda, Nico Courts, Colby Wight, Loc Truong, Woongjo Choi, Charles Godfrey, Tegan Emerson, Keerti Kappagantula, Henry Kvinge
Fiber Bundle Morphisms as a Framework for Modeling Many-to-Many Maps. CoRR (2022)
Elizabeth Coda, Nico Courts, Colby Wight, Loc Truong, WoongJo Choi, Charles Godfrey, Tegan Emerson, Keerti Kappagantula, Henry Kvinge
Fiber Bundle Morphisms as a Framework for Modeling Many-to-Many Maps. TAG-ML (2022)
Loc Truong, Woongjo Choi, Colby Wight, Lizzy Coda, Tegan Emerson, Keerti Kappagantula, Henry Kvinge
Differential Property Prediction: A Machine Learning Approach to Experimental Design in Advanced Manufacturing. CoRR (2021)
Henry Kvinge, Colby Wight, Sarah Akers, Scott Howland, Woongjo Choi, Xiaolong Ma, Luke Gosink, Elizabeth Jurrus, Keerti Kappagantula, Tegan H. Emerson
A Topological-Framework to Improve Analysis of Machine Learning Model Performance. CoRR (2021)