Dheeraj Peddireddy

According to our database, Dheeraj Peddireddy authored at least 10 papers between 2020 and 2023.

Collaborative distances:

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

2023

Classical simulation of variational quantum classifiers using tensor rings.

Dheeraj Peddireddy, Vipul Bansal, Vaneet Aggarwal

Appl. Soft Comput., July, 2023

An finite element analysis surrogate model with boundary oriented graph embedding approach for rapid design.

Xingyu Fu, Fengfeng Zhou, Dheeraj Peddireddy, Zhengyang Kang, Martin Byung-Guk Jun, Vaneet Aggarwal

J. Comput. Des. Eng., April, 2023

Tensor Ring Optimized Quantum-Enhanced Tensor Neural Networks.

Debanjan Konar, Dheeraj Peddireddy, Vaneet Aggarwal, Bijaya K. Panigrahi

CoRR, 2023

Noisy Tensor Ring approximation for computing gradients of Variational Quantum Eigensolver for Combinatorial Optimization.

Dheeraj Peddireddy, Utkarsh Priyam, Vaneet Aggarwal

CoRR, 2023

2022

Improved Dexel Representation: A 3-D CNN Geometry Descriptor for Manufacturing CAD.

Xingyu Fu, Dheeraj Peddireddy, Vaneet Aggarwal, Martin Byung-Guk Jun

IEEE Trans. Ind. Informatics, 2022

Tensor Ring Parametrized Variational Quantum Circuits for Large Scale Quantum Machine Learning.

Dheeraj Peddireddy, Vipul Bansal, Zubin Jacob, Vaneet Aggarwal

CoRR, 2022

2021

Preemptive scheduling on unrelated machines with fractional precedence constraints.

Vaneet Aggarwal, Tian Lan, Dheeraj Peddireddy

J. Parallel Distributed Comput., 2021

An FEA surrogate model with Boundary Oriented Graph Embedding approach.

Xingyu Fu, Fengfeng Zhou, Dheeraj Peddireddy, Zhengyang Kang, Martin Byung-Guk Jun, Vaneet Aggarwal

CoRR, 2021

2020

Efficient Gaussian Process Bandits by Believing only Informative Actions.

Amrit Singh Bedi, Dheeraj Peddireddy, Vaneet Aggarwal, Alec Koppel

CoRR, 2020

Efficient Large-Scale Gaussian Process Bandits by Believing only Informative Actions.

Amrit Singh Bedi, Dheeraj Peddireddy, Vaneet Aggarwal, Alec Koppel

Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020