198 citations · 482 across the 32 of their papers we have counts for
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cs.NI2021
A Roadmap for Enabling a Future-Proof In-Network Computing Data Plane Ecosystem
Daehyeok Kim, Nikita Lazarev, Tommy Tracy +7
As the vision of in-network computing becomes more mature, we see two parallel evolutionary trends. First, we see the evolution of richer, more demanding applications that require…
cs.LG2021★ 2 cited
Pareto GAN: Extending the Representational Power of GANs to Heavy-Tailed Distributions
Todd Huster, Jeremy E. J. Cohen, Zinan Lin +5
Generative adversarial networks (GANs) are often billed as "universal distribution learners", but precisely what distributions they can represent and learn is still an open questio…