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ORCIDDheeraj Peddireddy
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2020 – today
- 2023
[j4]Dheeraj Peddireddy
, Vipul Bansal, Vaneet Aggarwal:
Classical simulation of variational quantum classifiers using tensor rings. Appl. Soft Comput. 141: 110308 (2023)- [j3]Xingyu Fu, Fengfeng Zhou, Dheeraj Peddireddy, Zhengyang Kang, Martin Byung-Guk Jun, Vaneet Aggarwal:
An finite element analysis surrogate model with boundary oriented graph embedding approach for rapid design. J. Comput. Des. Eng. 10(3): 1026-1046 (2023) - [i5]Dheeraj Peddireddy, Utkarsh Priyam, Vaneet Aggarwal:
Noisy Tensor Ring approximation for computing gradients of Variational Quantum Eigensolver for Combinatorial Optimization. CoRR abs/2307.03884 (2023) - [i4]Debanjan Konar, Dheeraj Peddireddy, Vaneet Aggarwal, Bijaya K. Panigrahi:
Tensor Ring Optimized Quantum-Enhanced Tensor Neural Networks. CoRR abs/2310.01515 (2023) - 2022
- [j2]Xingyu Fu, Dheeraj Peddireddy, Vaneet Aggarwal, Martin Byung-Guk Jun:
Improved Dexel Representation: A 3-D CNN Geometry Descriptor for Manufacturing CAD. IEEE Trans. Ind. Informatics 18(9): 5882-5892 (2022) - [i3]Dheeraj Peddireddy, Vipul Bansal, Zubin Jacob, Vaneet Aggarwal:
Tensor Ring Parametrized Variational Quantum Circuits for Large Scale Quantum Machine Learning. CoRR abs/2201.08878 (2022) - 2021
- [j1]Vaneet Aggarwal, Tian Lan, Dheeraj Peddireddy:
Preemptive scheduling on unrelated machines with fractional precedence constraints. J. Parallel Distributed Comput. 157: 280-286 (2021) - [i2]Xingyu Fu, Fengfeng Zhou, Dheeraj Peddireddy, Zhengyang Kang, Martin Byung-Guk Jun, Vaneet Aggarwal:
An FEA surrogate model with Boundary Oriented Graph Embedding approach. CoRR abs/2108.13509 (2021) - 2020
- [c1]Amrit Singh Bedi, Dheeraj Peddireddy, Vaneet Aggarwal, Alec Koppel:
Efficient Large-Scale Gaussian Process Bandits by Believing only Informative Actions. L4DC 2020: 924-934 - [i1]Amrit Singh Bedi, Dheeraj Peddireddy, Vaneet Aggarwal, Alec Koppel:
Efficient Gaussian Process Bandits by Believing only Informative Actions. CoRR abs/2003.10550 (2020)
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