Efficient Large-Scale Gaussian Process Bandits by Believing only Informative Actions. - Amrit Singh Bedi; Dheeraj Peddireddy; Vaneet Aggarwal; Alec Koppel (L4DC, 2020)

Efficient Gaussian Process Bandits by Believing only Informative Actions. - Amrit Singh Bedi; Dheeraj Peddireddy; Vaneet Aggarwal; Alec Koppel (CoRR, 2020)

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)

Preemptive scheduling on unrelated machines with fractional precedence constraints. - Vaneet Aggarwal; Tian Lan 001; Dheeraj Peddireddy (J. Parallel Distributed Comput., 2021)

Tensor Ring Parametrized Variational Quantum Circuits for Large Scale Quantum Machine Learning. - Dheeraj Peddireddy; Vipul Bansal; Zubin Jacob; Vaneet Aggarwal (CoRR, 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)

Noisy Tensor Ring approximation for computing gradients of Variational Quantum Eigensolver for Combinatorial Optimization. - Dheeraj Peddireddy; Utkarsh Priyam; Vaneet Aggarwal (CoRR, 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., 2023)

Classical simulation of variational quantum classifiers using tensor rings. - Dheeraj Peddireddy; Vipul Bansal; Vaneet Aggarwal (Appl. Soft Comput., 2023)

Regret and Belief Complexity Tradeoff in Gaussian Process Bandits via Information Thresholding. - Amrit Singh Bedi; Dheeraj Peddireddy; Vaneet Aggarwal; Brian M. Sadler; Alec Koppel (IEEE Trans. Artif. Intell., 2025)

Tensor ring optimized quantum-enhanced tensor neural networks. - Debanjan Konar; Dheeraj Peddireddy; Bijaya K. Panigrahi; Vaneet Aggarwal (Quantum Mach. Intell., 2025)