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Postdoctoral Researcher
,
Simons Institute for the Theory of Computing and UC Berkeley EECS
2025–
Publications
(12)
Energy-Efficient IoT-Health Monitoring System using Approximate Computing
Internet of Things · 2020
61
cited
Implicit regularization in Heavy-ball momentum accelerated stochastic gradient descent
International Conference on Learning Representations · 2023
28
cited
Bilevel learning of l1-regularizers with closed-form gradients(BLORC)
arXiv.org · 2021
6
cited
Improving Generalization of Complex Models under Unbounded Loss Using PAC-Bayes Bounds
Trans. Mach. Learn. Res. · 2023
5
cited
Learning Sparsity-Promoting Regularizers using Bilevel Optimization
SIAM Journal of Imaging Sciences · 2022
5
cited
Hardware Implementation of Image Dehazing Mechanism using Verilog HDL and Parallel DCP
2020 IEEE Applied Signal Processing Conference (ASPCON) · 2020
3
cited
Bilevel Learning of ℓ1 Regularizers with Closed-Form Gradients (BLORC)
IEEE International Conference on Acoustics, Speech, and Signal Processing · 2022
2
cited
IOT based Portable Image Dehazing Machine
SPIN · 2021
2
cited
Snickometer Edge Detection by Feature Extraction in TF Plane and Wavelet Domain
2018 IEEE Applied Signal Processing Conference (ASPCON) · 2018
2
cited
A Smart Irrigation System
2018 IEEE Applied Signal Processing Conference (ASPCON) · 2018
1
cited
Efficient and Low Overhead Detection of Brain Diseases Using Deep Learning-Based Sparse MRI Image Classification
2021
Optimized Parallel Combination of Deep Networks and Sparsity Regularization for MR Image Reconstruction (OPCoNS)
ISMRM Annual Meeting
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