14 citations · 38 across the 10 of their papers we have counts for
10 papers
Dataset Distillation for Quantum Neural Networks
Koustubh Phalak, Junde Li, Swaroop Ghosh
Training Quantum Neural Networks (QNNs) on large amount of classical data can be both time consuming as well as expensive. Higher amount of training data would require higher numbe…
Random Relabeling for Efficient Machine Unlearning
Junde Li, Swaroop Ghosh
Learning algorithms and data are the driving forces for machine learning to bring about tremendous transformation of industrial intelligence. However, individuals' right to retract…
Energy-based Generative Models for Target-specific Drug Discovery
Junde Li, Collin Beaudoin, Swaroop Ghosh
Drug targets are the main focus of drug discovery due to their key role in disease pathogenesis. Computational approaches are widely applied to drug development because of the incr…
Approximate Quantum Random Access Memory Architectures
Koustubh Phalak, Junde Li, Swaroop Ghosh
Quantum supremacy in many applications using well-known quantum algorithms rely on availability of data in quantum format. Quantum Random Access Memory (QRAM), an equivalent of cla…
Analysis of Power-Oriented Fault Injection Attacks on Spiking Neural Networks
Karthikeyan Nagarajan, Junde Li, Sina Sayyah Ensan +3
Spiking Neural Networks (SNN) are quickly gaining traction as a viable alternative to Deep Neural Networks (DNN). In comparison to DNNs, SNNs are more computationally powerful and…
Scalable Variational Quantum Circuits for Autoencoder-based Drug Discovery
Junde Li, Swaroop Ghosh
The de novo design of drug molecules is recognized as a time-consuming and costly process, and computational approaches have been applied in each stage of the drug discovery pipeli…