Avrajit Ghosh

According to our database, Avrajit Ghosh authored at least 14 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Understanding Untrained Deep Models for Inverse Problems [From the Guest Editors]: Algorithms and theory.

Ismail Alkhouri, Evan Bell, Avrajit Ghosh, Shijun Liang, Rongrong Wang, Saiprasad Ravishankar

IEEE Signal Process. Mag., March, 2026

Hard labels sampled from sparse targets mislead rotation invariant algorithms.

Avrajit Ghosh, Bin Yu, Manfred K. Warmuth, Peter L. Bartlett

CoRR, March, 2026

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, June, 2025

Learning Dynamics of Deep Linear Networks Beyond the Edge of Stability.

Avrajit Ghosh, Soo Min Kwon, Rongrong Wang, Saiprasad Ravishankar, Qing Qu

CoRR, February, 2025

Learning Dynamics of Deep Matrix Factorization Beyond the Edge of Stability.

Avrajit Ghosh, Soo Min Kwon, Rongrong Wang, Saiprasad Ravishankar, Qing Qu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Learning Sparsity-Promoting Regularizers Using Bilevel Optimization.

Avrajit Ghosh, Michael T. McCann, Madeline Mitchell, Saiprasad Ravishankar

SIAM J. Imaging Sci., March, 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

Optimal Eye Surgeon: Finding image priors through sparse generators at initialization.

Avrajit Ghosh, Xitong Zhang, Kenneth K. Sun, Qing Qu, Saiprasad Ravishankar, Rongrong Wang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Pruning Unrolled Networks (PUN) at Initialization for MRI Reconstruction Improves Generalization.

Shijun Liang, Evan Bell, Avrajit Ghosh, Saiprasad Ravishankar

Proceedings of the 58th Asilomar Conference on Signals, 2024

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

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Auto-tune: PAC-Bayes Optimization over Prior and Posterior for Neural Networks.

Xitong Zhang, Avrajit Ghosh, Guangliang Liu, Rongrong Wang

CoRR, 2023

Implicit regularization in Heavy-ball momentum accelerated stochastic gradient descent.

Avrajit Ghosh, He Lyu, Xitong Zhang, Rongrong Wang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Bilevel Learning of ℓ1 Regularizers with Closed-Form Gradients (BLORC).

Avrajit Ghosh, Michael T. McCann, Saiprasad Ravishankar

Proceedings of the IEEE International Conference on Acoustics, 2022

2020

Energy-Efficient IoT-Health Monitoring System using Approximate Computing.

Avrajit Ghosh, Arnab Raha, Amitava Mukherjee

Internet Things, 2020