α-GAN: Convergence and Estimation Guarantees. - Gowtham R. Kurri; Monica Welfert; Tyler Sypherd; Lalitha Sankar (ISIT, 2022)

Generating Fair Universal Representations Using Adversarial Models. - Peter Kairouz; Jiachun Liao; Chong Huang; Maunil Vyas; Monica Welfert; Lalitha Sankar (IEEE Trans. Inf. Forensics Secur., 2022)

(αD, αG)-GANs: Addressing GAN Training Instabilities via Dual Objectives. - Monica Welfert; Kyle Otstot; Gowtham R. Kurri; Lalitha Sankar (ISIT, 2023)

Towards Addressing GAN Training Instabilities: Dual-objective GANs with Tunable Parameters. - Monica Welfert; Kyle Otstot; Gowtham R. Kurri; Lalitha Sankar (CoRR, 2023)

Theoretical Guarantees of Data Augmented Last Layer Retraining Methods. - Monica Welfert; Nathan Stromberg; Lalitha Sankar (ISIT, 2024)

Robustness to Subpopulation Shift with Domain Label Noise via Regularized Annotation of Domains. - Nathan Stromberg; Rohan Ayyagari; Monica Welfert; Sanmi Koyejo; Lalitha Sankar (CoRR, 2024)

Addressing GAN Training Instabilities via Tunable Classification Losses. - Monica Welfert; Gowtham R. Kurri; Kyle Otstot; Lalitha Sankar (IEEE J. Sel. Areas Inf. Theory, 2024)

For Robust Worst-Group Accuracy, Ignore Group Annotations. - Nathan Stromberg; Rohan Ayyagari; Monica Welfert; Sanmi Koyejo; Richard Nock; Lalitha Sankar (Trans. Mach. Learn. Res., 2024)

Lower Bounds on the MMSE of Adversarially Inferring Sensitive Features. - Monica Welfert; Nathan Stromberg; Mario Díaz; Lalitha Sankar (CoRR, 2025)

CORAL: Disentangling Latent Representations in Long-Tailed Diffusion. - Esther Rodriguez; Monica Welfert; Samuel McDowell; Nathan Stromberg; Julian Antolin Camarena; Lalitha Sankar (CoRR, 2025)