no code implementations • 10 Jan 2023 • Santosh Ganji, Jaewon Kim, Romil Sonigra, P. R. Kumar
To avoid outage in transient pedestrian blockage of the LoS path, the mobile uses reflected or NLoS path available in indoor environments.
1 code implementation • 26 Sep 2022 • Desik Rengarajan, Sapana Chaudhary, Jaewon Kim, Dileep Kalathil, Srinivas Shakkottai
Meta reinforcement learning (Meta-RL) is an approach wherein the experience gained from solving a variety of tasks is distilled into a meta-policy.
1 code implementation • 25 Sep 2022 • Santosh Ganji, Jaewon Kim, P. R. Kumar
This allows the mobile to maintain time-synchronization with the base station, allowing it to revert to the LoS path when the temporary blockage disappears.
no code implementations • 1 Jun 2022 • Jaewon Kim, Jooyoung Chang, Sang Min Park
Based on recent remarkable achievements of contrastive learning in self-supervised representation learning, supervised contrastive learning (SupCon) has successfully extended the batch contrastive approaches to the supervised context and outperformed cross-entropy on various datasets on ResNet.
no code implementations • 18 Jul 2021 • Santosh Ganji, Tzu-Hsiang Lin, Jaewon Kim, P. R. Kumar
In mm-wave networks, cell sizes are small due to high path and penetration losses.
no code implementations • 20 Oct 2020 • Jaewon Kim, Ehud Altman, Xiangyu Cao
We introduce a family of Gross-Neveu-Yukawa models with a large number of fermion and boson flavors as higher dimensional generalizations of the Sachdev-Ye-Kitaev model.
Strongly Correlated Electrons High Energy Physics - Theory
no code implementations • CVPR 2017 • Jaewon Kim, Ilya Reshetouski, Abhijeet Ghosh
We propose a novel, practical solution for high quality reconstruction of axially-symmetric transparent objects.