Research Publications: (* denotes equal contribution)
Deep Learning Theory
  Avrajit Ghosh*, Soo Min Kwon*, Rongrong Wang, Saiprasad Ravishankar, Qing Qu
  (ICLR-2025)
2) Improving Generalization of Complex Models with Unbounded Loss Using PAC-Bayes Bounds.
 Xitong Zhang, Avrajit Ghosh, Guangliang Wang, Rongrong Wang
 (TMLR-2024)
 3) Implicit regularization in Heavy-ball momentum accelerated stochastic gradient descent.Â
 Avrajit Ghosh*, He Lyu*, Xitong Zhang, Rongrong Wang
 (ICLR-2023, Spotlight, Top 6%)
Inverse problems/ Image reconstruction
1) Â Optimal Eye Surgeon: Finding Image Priors through Sparse Generators at Initialization.
  Avrajit Ghosh, Xitong Zhang, Kenneth Sun, Qing Qu, Saiprasad Ravishankar, Rongrong Wang
  (ICML-2024)
 2) Learning Sparsity Promoting Regularizers using Bilevel Optimization.
 Avrajit Ghosh, Michael Mccann, Madeline Mitchell, Saiprasad Ravishankar
 (SIAM Journal on Imaging Sciences - 2024)
 3) Bilevel Learning of L1 Regularizers with Closed-Form Gradients.Â
 Avrajit Ghosh, Michael Mccann, Saiprasad Ravishankar
 (ICASSP- 2022)
 4) Understanding Untrained Deep Models for Inverse Problems: Algorithms and Theory.Â
Ismail Alkhouri*, Evan Bell*, Avrajit Ghosh*, Shijun Liang, Rongrong Wang, Saiprasad Ravishankar
 (under submission)
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