Sewoong Oh

Turbo Autoencoder: Deep learning based channel codes for point-to-point communication channels

2019 · arXiv (Cornell University)

Designing codes that combat the noise in a communication medium has remained a significant area of research in information theory as well as wireless communications. Asymptotically optimal channel codes have been developed by mathematicians for …

Optimal transport mapping via input convex neural networks

2019 · arXiv (Cornell University)

In this paper, we present a novel and principled approach to learn the optimal transport between two distributions, from samples. Guided by the optimal transport theory, we learn the optimal Kantorovich potential which induces the …

Profit: Benchmarking Personalization and Robustness Trade-off in Federated Prompt Tuning

2023 · arXiv (Cornell University)

In many applications of federated learning (FL), clients desire models that are personalized using their local data, yet are also robust in the sense that they retain general global knowledge. However, the presence of data …