ResNEsts and DenseNEsts: Block-based DNN Models with Improved Representation Guarantees

10 November 2021

Papers citing "ResNEsts and DenseNEsts: Block-based DNN Models with Improved Representation Guarantees"

5 / 5 papers shown

Title
A Comparative Study of Invariance-Aware Loss Functions for Deep Learning-based Gridless Direction-of-Arrival Estimation Kuan-Lin Chen Bhaskar D. Rao 62 1 0 16 Mar 2025
Subspace Representation Learning for Sparse Linear Arrays to Localize More Sources than Sensors: A Deep Learning Methodology Kuan-Lin Chen Bhaskar D. Rao 22 1 0 29 Aug 2024
A DNN based Normalized Time-frequency Weighted Criterion for Robust Wideband DoA Estimation Kuan-Lin Chen Ching-Hua Lee Bhaskar D. Rao H. Garudadri 10 4 0 20 Feb 2023
Improved Bounds on Neural Complexity for Representing Piecewise Linear Functions Kuan-Lin Chen H. Garudadri Bhaskar D. Rao 11 19 0 13 Oct 2022
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Zhuowen Tu Kaiming He 309 10,233 0 16 Nov 2016