Monica Welfert

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 9

Top Topics

Tunable Parameters

Avoid Overfitting

Top Venues

IEEE J. Sel. Areas Inf. Theory

IEEE Trans. Inf. Forensics Secur.

Publications

Monica Welfert, Nathan Stromberg, Lalitha Sankar
Theoretical Guarantees of Data Augmented Last Layer Retraining Methods. CoRR (2024)
Nathan Stromberg, Rohan Ayyagari, Monica Welfert, Sanmi Koyejo, Lalitha Sankar
Robustness to Subpopulation Shift with Domain Label Noise via Regularized Annotation of Domains. CoRR (2024)
Monica Welfert, Gowtham R. Kurri, Kyle Otstot, Lalitha Sankar
Addressing GAN Training Instabilities via Tunable Classification Losses. IEEE J. Sel. Areas Inf. Theory 5 (2024)
Monica Welfert, Kyle Otstot, Gowtham R. Kurri, Lalitha Sankar
Towards Addressing GAN Training Instabilities: Dual-objective GANs with Tunable Parameters. CoRR (2023)
Monica Welfert, Kyle Otstot, Gowtham R. Kurri, Lalitha Sankar
(αD, αG)-GANs: Addressing GAN Training Instabilities via Dual Objectives. ISIT (2023)
Monica Welfert, Gowtham R. Kurri, Kyle Otstot, Lalitha Sankar
Addressing GAN Training Instabilities via Tunable Classification Losses. CoRR (2023)
Gowtham R. Kurri, Monica Welfert, Tyler Sypherd, Lalitha Sankar
α-GAN: Convergence and Estimation Guarantees. CoRR (2022)
Gowtham R. Kurri, Monica Welfert, Tyler Sypherd, Lalitha Sankar
α-GAN: Convergence and Estimation Guarantees. ISIT (2022)
Peter Kairouz, Jiachun Liao, Chong Huang, Maunil Vyas, Monica Welfert, Lalitha Sankar
Generating Fair Universal Representations Using Adversarial Models. IEEE Trans. Inf. Forensics Secur. 17 (2022)