GPU-accelerated charge mapping. - Ahmed Sanaullah; Saiful A. Mojumder; Kathleen M. Lewis; Martin C. Herbordt (HPEC, 2016)

Fast Learning-based Registration of Sparse Clinical Images. - Kathleen M. Lewis; Guha Balakrishnan; Natalia S. Rost; John V. Guttag; Adrian V. Dalca (CoRR, 2018)

Fast learning-based registration of sparse 3D clinical images. - Kathleen M. Lewis; Natalia S. Rost; John V. Guttag; Adrian V. Dalca (CHIL, 2020)

Painting Many Pasts: Synthesizing Time Lapse Videos of Paintings. - Amy Zhao; Guha Balakrishnan; Kathleen M. Lewis; Frédo Durand; John V. Guttag; Adrian V. Dalca (CVPR, 2020)

VOGUE: Try-On by StyleGAN Interpolation Optimization. - Kathleen M. Lewis; Srivatsan Varadharajan; Ira Kemelmacher-Shlizerman (CoRR, 2021)

TryOnGAN: body-aware try-on via layered interpolation. - Kathleen M. Lewis; Srivatsan Varadharajan; Ira Kemelmacher-Shlizerman (ACM Trans. Graph., 2021)

Intuitively Assessing ML Model Reliability through Example-Based Explanations and Editing Model Inputs. - Harini Suresh; Kathleen M. Lewis; John V. Guttag; Arvind Satyanarayan (IUI, 2022)

SizeGAN: Improving Size Representation in Clothing Catalogs. - Kathleen M. Lewis; John V. Guttag (CoRR, 2022)

Generating Image-Specific Text Improves Fine-grained Image Classification. - Emily Mu; Kathleen M. Lewis; Adrian V. Dalca; John V. Guttag (CoRR, 2023)

GELDA: A generative language annotation framework to reveal visual biases in datasets. - Krish Kabra; Kathleen M. Lewis; Guha Balakrishnan (CoRR, 2023)

Developing Domain-Specific Generative Methods - Kathleen M. Lewis (2023)