Monica Welfert

According to our database, Monica Welfert authored at least 7 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

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

Theoretical Guarantees of Data Augmented Last Layer Retraining Methods.

Monica Welfert, Nathan Stromberg, Lalitha Sankar

Proceedings of the IEEE International Symposium on Information Theory, 2024

2023

Towards Addressing GAN Training Instabilities: Dual-objective GANs with Tunable Parameters.

Monica Welfert, Kyle Otstot, Gowtham R. Kurri, Lalitha Sankar

CoRR, 2023

(αD, αG)-GANs: Addressing GAN Training Instabilities via Dual Objectives.

Monica Welfert, Kyle Otstot, Gowtham R. Kurri, Lalitha Sankar

Proceedings of the IEEE International Symposium on Information Theory, 2023

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

α-GAN: Convergence and Estimation Guarantees.

Gowtham R. Kurri, Monica Welfert, Tyler Sypherd, Lalitha Sankar

Proceedings of the IEEE International Symposium on Information Theory, 2022