Aditya Shukla

Orcid: 0000-0001-5268-3470

According to our database1, Aditya Shukla authored at least 11 papers between 2017 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Custom CMOS Ising Machine Based on Relaxed Burer-Monteiro-Zhang Heuristic.
IEEE Trans. Computers, October, 2023

Self-contained relaxation-based dynamical Ising machines.
CoRR, 2023

2022
Scalable almost-linear dynamical Ising machines.
CoRR, 2022

KnowPAML: A Knowledge Enhanced Framework for Adaptable Personalized Dialogue Generation Using Meta-Learning.
Proceedings of the 19th International Conference on Natural Language Processing, 2022

2020
Linear Delay-cell Design for Low-energy Delay Multiplication and Accumulation.
CoRR, 2020

ActiveThief: Model Extraction Using Active Learning and Unannotated Public Data.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
A framework for the extraction of Deep Neural Networks by leveraging public data.
CoRR, 2019

2018
An On-Chip Trainable and the Clock-Less Spiking Neural Network With 1R Memristive Synapses.
IEEE Trans. Biomed. Circuits Syst., 2018

A case for multiple and parallel RRAMs as synaptic model for training SNNs.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2017
A Real-time Trainable and Clock-less Spiking Neural Network with 1R Memristive Synapses.
CoRR, 2017

A software-equivalent SNN hardware using RRAM-array for asynchronous real-time learning.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017


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