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

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.

NeurIPS 2022 workshop on Machine Learning and the Physical Sciences

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

Sriram Ravula, Alexandros G. Dimakis.

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

(* denotes equal contribution)