Energy-Efficient IoT-Health Monitoring System using Approximate Computing. - Avrajit Ghosh; Arnab Raha; Amitava Mukherjee (Internet Things, 2020)

Bilevel Learning of ℓ1 Regularizers with Closed-Form Gradients (BLORC). - Avrajit Ghosh; Michael T. McCann; Saiprasad Ravishankar (ICASSP, 2022)

Implicit regularization in Heavy-ball momentum accelerated stochastic gradient descent. - Avrajit Ghosh; He Lyu; Xitong Zhang; Rongrong Wang (ICLR, 2023)

Auto-tune: PAC-Bayes Optimization over Prior and Posterior for Neural Networks. - Xitong Zhang; Avrajit Ghosh; Guangliang Liu; Rongrong Wang (CoRR, 2023)

Towards Understanding Task-agnostic Debiasing Through the Lenses of Intrinsic Bias and Forgetfulness. - Guangliang Liu; Milad Afshari; Xitong Zhang; Zhiyu Xue; Avrajit Ghosh; Bidhan Bashyal; Rongrong Wang; Kristen Marie Johnson (ACL (Findings), 2024)

Pruning Unrolled Networks (PUN) at Initialization for MRI Reconstruction Improves Generalization. - Shijun Liang; Evan Bell; Avrajit Ghosh; Saiprasad Ravishankar (IEEECONF, 2024)

Optimal Eye Surgeon: Finding image priors through sparse generators at initialization. - Avrajit Ghosh; Xitong Zhang; Kenneth K. Sun; Qing Qu 001; Saiprasad Ravishankar; Rongrong Wang (ICML, 2024)

Improving Generalization of Complex Models under Unbounded Loss Using PAC-Bayes Bounds. - Xitong Zhang; Avrajit Ghosh; Guangliang Liu; Rongrong Wang (Trans. Mach. Learn. Res., 2024)

Learning Sparsity-Promoting Regularizers Using Bilevel Optimization. - Avrajit Ghosh; Michael T. McCann; Madeline Mitchell; Saiprasad Ravishankar (SIAM J. Imaging Sci., 2024)

Learning Dynamics of Deep Matrix Factorization Beyond the Edge of Stability. - Avrajit Ghosh; Soo Min Kwon; Rongrong Wang; Saiprasad Ravishankar; Qing Qu 001 (ICLR, 2025)

Learning Dynamics of Deep Linear Networks Beyond the Edge of Stability. - Avrajit Ghosh; Soo Min Kwon; Rongrong Wang; Saiprasad Ravishankar; Qing Qu 001 (CoRR, 2025)

Variational Learning Finds Flatter Solutions at the Edge of Stability. - Avrajit Ghosh; Bai Cong; Rio Yokota; Saiprasad Ravishankar; Rongrong Wang; Molei Tao; Mohammad Emtiyaz Khan; Thomas Möllenhoff (CoRR, 2025)