3 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.NI2023
Learnable Digital Twin for Efficient Wireless Network Evaluation
Boning Li, Timofey Efimov, Abhishek Kumar +4
Network digital twins (NDTs) facilitate the estimation of key performance indicators (KPIs) before physically implementing a network, thereby enabling efficient optimization of the…
cs.CV2023★ 1 cited
Rewarded meta-pruning: Meta Learning with Rewards for Channel Pruning
Athul Shibu, Abhishek Kumar, Heechul Jung +1
Convolutional Neural Networks (CNNs) have a large number of parameters and take significantly large hardware resources to compute, so edge devices struggle to run high-level networ…
cs.CV2021★ 3 cited
Solving Inverse Problems with NerfGANs
Giannis Daras, Wen-Sheng Chu, Abhishek Kumar +2
We introduce a novel framework for solving inverse problems using NeRF-style generative models. We are interested in the problem of 3-D scene reconstruction given a single 2-D imag…