Kyle Otstot

According to our database, Kyle Otstot authored at least 4 papers between 2022 and 2023.

Collaborative distances:

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

2023

Addressing GAN Training Instabilities via Tunable Classification Losses.

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

CoRR, 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

AugLoss: A Learning Methodology for Real-World Dataset Corruption.

Kyle Otstot, John Kevin Cava, Tyler Sypherd, Lalitha Sankar

CoRR, 2022