Follow
Dheeraj Peddireddy
Dheeraj Peddireddy
Verified email at purdue.edu - Homepage
Title
Cited by
Cited by
Year
Deep learning based approach for identifying conventional machining processes from CAD data
D Peddireddy, X Fu, H Wang, BG Joung, V Aggarwal, JW Sutherland, ...
Procedia Manufacturing 48, 915-925, 2020
252020
Identifying manufacturability and machining processes using deep 3D convolutional networks
D Peddireddy, X Fu, A Shankar, H Wang, BG Joung, V Aggarwal, ...
Journal of Manufacturing Processes 64, 1336-1348, 2021
222021
Improved dexel representation: A 3-d cnn geometry descriptor for manufacturing cad
X Fu, D Peddireddy, V Aggarwal, MBG Jun
IEEE Transactions on Industrial Informatics 18 (9), 5882-5892, 2021
132021
Classical simulation of variational quantum classifiers using tensor rings
D Peddireddy, V Bansal, V Aggarwal
Applied Soft Computing 141, 110308, 2023
82023
Efficient large-scale gaussian process bandits by believing only informative actions
AS Bedi, D Peddireddy, V Aggarwal, A Koppel
Learning for Dynamics and Control, 924-934, 2020
5*2020
An FEA surrogate model with boundary oriented graph embedding approach for rapid design
X Fu, F Zhou, D Peddireddy, Z Kang, MBG Jun, V Aggarwal
Journal of Computational Design and Engineering, qwad025, 2023
4*2023
Tensor ring parametrized variational quantum circuits for large scale quantum machine learning
D Peddireddy, V Bansal, Z Jacob, V Aggarwal
arXiv preprint arXiv:2201.08878, 2022
42022
Preemptive scheduling on unrelated machines with fractional precedence constraints
V Aggarwal, T Lan, D Peddireddy
Journal of Parallel and Distributed Computing 157, 280-286, 2021
12021
Noisy tensor-ring approximation for computing gradients of a variational quantum eigensolver for combinatorial optimization
D Peddireddy, U Priyam, V Aggarwal
Physical Review A 108 (4), 042429, 2023
2023
Tensor Ring Optimized Quantum-Enhanced Tensor Neural Networks
D Konar, D Peddireddy, V Aggarwal, BK Panigrahi
arXiv preprint arXiv:2310.01515, 2023
2023
Boundary representation compatible feature recognition for manufacturing CAD models
X Fu, D Peddireddy, F Zhou, Y Xi, V Aggarwal, X Li, MBG Jun
Manufacturing Letters 35, 895-903, 2023
2023
Regret and Belief Complexity Trade-off in Gaussian Process Bandits via Information Thresholding
A Singh Bedi, D Peddireddy, V Aggarwal, BM Sadler, A Koppel
arXiv e-prints, arXiv: 2003.10550, 2020
2020
The system can't perform the operation now. Try again later.
Articles 1–12