A software-equivalent SNN hardware using RRAM-array for asynchronous real-time learning. - Aditya Shukla; Vinay Kumar; Udayan Ganguly (IJCNN, 2017)

A Real-time Trainable and Clock-less Spiking Neural Network with 1R Memristive Synapses. - Aditya Shukla; Udayan Ganguly (CoRR, 2017)

A case for multiple and parallel RRAMs as synaptic model for training SNNs. - Aditya Shukla; Sidharth Prasad; Sandip Lashkare; Udayan Ganguly (IJCNN, 2018)

An On-Chip Trainable and the Clock-Less Spiking Neural Network With 1R Memristive Synapses. - Aditya Shukla; Udayan Ganguly (IEEE Trans. Biomed. Circuits Syst., 2018)

A framework for the extraction of Deep Neural Networks by leveraging public data. - Soham Pal; Yash Gupta; Aditya Shukla; Aditya Kanade 001; Shirish K. Shevade; Vinod Ganapathy (CoRR, 2019)

ActiveThief: Model Extraction Using Active Learning and Unannotated Public Data. - Soham Pal; Yash Gupta; Aditya Shukla; Aditya Kanade 001; Shirish K. Shevade; Vinod Ganapathy (AAAI, 2020)

Linear Delay-cell Design for Low-energy Delay Multiplication and Accumulation. - Aditya Shukla (CoRR, 2020)

KnowPAML: A Knowledge Enhanced Framework for Adaptable Personalized Dialogue Generation Using Meta-Learning. - Aditya Shukla; Zishan Ahmad; Asif Ekbal (ICON, 2022)

Self-contained relaxation-based dynamical Ising machines. - Mikhail Erementchouk; Aditya Shukla; Pinaki Mazumder (CoRR, 2023)

Custom CMOS Ising Machine Based on Relaxed Burer-Monteiro-Zhang Heuristic. - Aditya Shukla; Mikhail Erementchouk; Pinaki Mazumder (IEEE Trans. Computers, 2023)

Non-binary dynamical Ising machines for combinatorial optimization. - Aditya Shukla; Mikhail Erementchouk; Pinaki Mazumder (CoRR, 2024)

Scalable almost-linear dynamical Ising machines. - Aditya Shukla; Mikhail Erementchouk; Pinaki Mazumder (Nat. Comput., 2025)