Publications

Papers and Preprints

One-Dimensional Deep Image Prior for Curve Fitting of S-Parameters from Electromagnetic Solvers [paper]

Sriram Ravula, Varun Gorti, Bo Deng, Swagato Chakraborty, James Pingenot, Bhyrav Mutnury, Doug Wallace, Doug Winterberg, Adam Klivans, Alexandros G. Dimakis.

2023 International Conference on Computer-Aided Design (ICCAD 2023)

Optimizing Sampling Patterns for Compressed Sensing MRI with Diffusion Generative Models [paper]

Sriram Ravula, Brett Levac, Ajil Jalal, Jonathan I. Tamir, Alexandros G. Dimakis.

Arxiv Preprint

Score-based Seismic Inverse Problems [paper] [poster]

Sriram Ravula, Dimitri Voytan, Elad Liebman, Ram Tuvi, Yash Gandhi, Hamza Ghani, Alexandre Ardel, Mrinal Sen, Alexandros G. Dimakis.

2022 NeurIPS workshop on Machine Learning and the Physical Sciences

Random and Coherent Artifact Mitigation in Seismic Images with a Physics Constrained Deep Image Prior

Dimitri Voytan, Sriram Ravula, Elad Liebman, Alexandre Ardel, Mrinal Sen, Alexandros G. Dimakis.

(Submitted for review) IEEE Transactions on Geoscience and Remote Sensing

One-dimensional Deep Image Prior for Time Series Inverse Problems [paper] [slides] [poster]

Sriram Ravula, Alexandros G. Dimakis.

2022 Asilomar Conference on Signals, Systems, and Computers (ASILOMAR 2022)

Inverse Problems Leveraging Pre-trained Contrastive Representations [paper] [code] [project page] [slides] [poster]

Sriram Ravula*, Georgios Smyrnis*, Matt Jordan, Alexandros G. Dimakis.

Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS 2021)

Deep Autoencoder-based Massive MIMO CSI Feedback with Quantization and Entropy Coding [paper] [slides]

Sriram Ravula, Swayambhoo Jain.

2021 IEEE Global Communications Conference (GLOBECOM 2021)

A Comparison of Classical and Deep Learning-based Techniques for Compressing Signals in a Union of Subspaces [paper ] [slides]

Sriram Ravula, Swayambhoo Jain.

2021 Data Compression Conference (DCC 2021)

Patents

Reliability for machine-learning based image generation

Alexandru Ardel, Elad Liebman, Mrinal Sen, Georgios Alexandros Dimakis, Yash Gandhi, Sriram Ravula, Dimitri Voytan.

US20230109854A1 (pending)

Image artifact reduction using filter data based on deep image prior operations

Alexandru Ardel, Elad Liebman, Mrinal Sen, Georgios Alexandros Dimakis, Yash Gandhi, Sriram Ravula, Dimitri Voytan.

US20230111937A1 (pending)

Artifact reduction for solutions to inverse problems

Alexandru Ardel, Elad Liebman, Mrinal Sen, Georgios Alexandros Dimakis, Yash Gandhi, Sriram Ravula, Dimitri Voytan.

US20230113786A1 (pending)

Data selection for image generation

Alexandru Ardel, Elad Liebman, Mrinal Sen, Georgios Alexandros Dimakis, Yash Gandhi, Sriram Ravula, Dimitri Voytan.

US20230114194A1 (pending)

Publications

One-Dimensional Deep Image Prior for Curve Fitting of S-Parameters from Electromagnetic Solvers [paper]

Optimizing Sampling Patterns for Compressed Sensing MRI with Diffusion Generative Models [paper]

Score-based Seismic Inverse Problems [paper] [poster]

Random and Coherent Artifact Mitigation in Seismic Images with a Physics Constrained Deep Image Prior

One-dimensional Deep Image Prior for Time Series Inverse Problems [paper] [slides] [poster]

Inverse Problems Leveraging Pre-trained Contrastive Representations [paper] [code] [project page] [slides] [poster]

Deep Autoencoder-based Massive MIMO CSI Feedback with Quantization and Entropy Coding [paper] [slides]

A Comparison of Classical and Deep Learning-based Techniques for Compressing Signals in a Union of Subspaces [paper] [slides]

Reliability for machine-learning based image generation

Image artifact reduction using filter data based on deep image prior operations

Artifact reduction for solutions to inverse problems

Data selection for image generation

A Comparison of Classical and Deep Learning-based Techniques for Compressing Signals in a Union of Subspaces [paper ] [slides]