Publications

Conference publications:
  1. G. Jagatap, C. Hegde, “High dynamic range imaging using deep image priors”, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020. [Preprint / Paper / Talk]

  2. G. Jagatap, C. Hegde, “Algorithmic Guarantees for Inverse Imaging with Untrained Network Priors”, to appear, Advances in Neural Information Processing Systems (NeurIPS), 2019. (Acceptance rate: 21.18%) [ Preprint / Code / Slides / Poster]

  3. G. Jagatap, C. Hegde, “Phase Retrieval using Untrained Neural Network Priors”, NeurIPS Workshop on Solving Inverse Problems with Deep Neural Networks, 2019. [ Paper ]

  4. G. Jagatap, C. Hegde, “Linearly Convergent Algorithms for Learning Shallow Residual Networks. “, IEEE International Symposium on Information Theory (ISIT), 2019. [Preprint / Talk]

  5. G. Jagatap, Z. Chen, C. Hegde, N. Vaswani, “Model corrected low rank ptychography”, IEEE International Conference on Image Processing (ICIP), 2018. [Preprint / Paper / Poster]

  6. G. Jagatap, C. Hegde, “Towards sample-optimal methods for solving random quadratic equations with structure”, IEEE International Symposium on Information Theory (ISIT), 2018. [Preprint / Paper / Talk / Code ]

  7. G. Jagatap, Z. Chen, C. Hegde, N. Vaswani, “Sub-diffraction imaging using Fourier ptychography and structured sparsity”, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), (Oral Presentation) 2018. [ Preprint / Paper / Talk / Code ]

  8. Z. Chen, G. Jagatap, S. Nayer, C. Hegde, N. Vaswani, “Low rank Fourier ptychography”, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2018. [Preprint / Paper / Poster]

  9. G. Jagatap, C. Hegde, “Fast, sample efficient algorithms for structured phase retrieval”, Advances in Neural Information Processing Systems (NIPS), 2017. (Acceptance rate: 20.93%) [ Paper / Poster / Code ]

Journal articles:
  1. G. Jagatap, Z. Chen, C. Hegde, N. Vaswani, “Sample efficient Fourier ptychography on structured data”, to appear, IEEE Transactions on Computational Imaging, 2019. [ Preprint / Code ]

  2. G. Jagatap, C. Hegde, “Sample efficient algorithms for recovering structured signals from magnitude-only measurements”, IEEE Transactions on Information Theory, 2019. [arXiv Preprint/ Paper / Code]

You can also find my profile on Google Scholar and Publons.