activity
20202022
most citedDemystifying Batch Normalization in ReLU Networks: Equivalent Convex Optimization Models and Implicit Regularization

9 citations · 27 across the 8 of their papers we have counts for

collaborators
Showing 2021Show all

2 papers · 1 filter

cs.LG2021★ 3 cited

Hidden Convexity of Wasserstein GANs: Interpretable Generative Models with Closed-Form Solutions

Arda Sahiner, Tolga Ergen, Batu Ozturkler +4

Generative Adversarial Networks (GANs) are commonly used for modeling complex distributions of data. Both the generators and discriminators of GANs are often modeled by neural netw…

cs.LG2021★ 9 cited

Demystifying Batch Normalization in ReLU Networks: Equivalent Convex Optimization Models and Implicit Regularization

Tolga Ergen, Arda Sahiner, Batu Ozturkler +3

Batch Normalization (BN) is a commonly used technique to accelerate and stabilize training of deep neural networks. Despite its empirical success, a full theoretical understanding…