5 citations · 9 across the 7 of their papers we have counts for
4 papers · 1 filter
One-Dimensional Deep Image Prior for Curve Fitting of S-Parameters from Electromagnetic Solvers
Sriram Ravula, Varun Gorti, Bo Deng +7
A key problem when modeling signal integrity for passive filters and interconnects in IC packages is the need for multiple S-parameter measurements within a desired frequency band…
Optimizing Sampling Patterns for Compressed Sensing MRI with Diffusion Generative Models
Sriram Ravula, Brett Levac, Yamin Arefeen +3
Magnetic resonance imaging (MRI) is a powerful medical imaging modality, but long acquisition times limit throughput, patient comfort, and clinical accessibility. Diffusion-based g…
Inverse Problems Leveraging Pre-trained Contrastive Representations
Sriram Ravula, Georgios Smyrnis, Matt Jordan +1
We study a new family of inverse problems for recovering representations of corrupted data. We assume access to a pre-trained representation learning network R(x) that operates on…
One-dimensional Deep Image Prior for Time Series Inverse Problems
Sriram Ravula, Alexandros G. Dimakis
We extend the Deep Image Prior (DIP) framework to one-dimensional signals. DIP is using a randomly initialized convolutional neural network (CNN) to solve linear inverse problems b…