7 citations · 8 across the 5 of their papers we have counts for
3 papers · 1 filter
Infrastructure-free, Deep Learned Urban Noise Monitoring at 100mW
Jihoon Yun, Sangeeta Srivastava, Dhrubojyoti Roy +6
The Sounds of New York City (SONYC) wireless sensor network (WSN) has been fielded in Manhattan and Brooklyn over the past five years, as part of a larger human-in-the-loop cyber-p…
A Study on Robustness to Perturbations for Representations of Environmental Sound
Sangeeta Srivastava, Ho-Hsiang Wu, Joao Rulff +5
Audio applications involving environmental sound analysis increasingly use general-purpose audio representations, also known as embeddings, for transfer learning. Recently, Holisti…
Physics-Guided Problem Decomposition for Scaling Deep Learning of High-dimensional Eigen-Solvers: The Case of Schrödinger's Equation
Sangeeta Srivastava, Samuel Olin, Viktor Podolskiy +3
Given their ability to effectively learn non-linear mappings and perform fast inference, deep neural networks (NNs) have been proposed as a viable alternative to traditional simula…