Aditya Shukla

Orcid: 0009-0006-3072-5602

According to our database1, Aditya Shukla authored at least 16 papers between 2017 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Benchmarking LLM Summaries of Multimodal Clinical Time Series for Remote Monitoring.
CoRR, March, 2026

2025
Relaxation-based dynamical Ising machines for discrete tomography.
CoRR, December, 2025

Financial Instruction Following Evaluation (FIFE).
CoRR, December, 2025

Scalable almost-linear dynamical Ising machines.
Nat. Comput., June, 2025

Actor-critic driven deep reinforcement learning for optimising agri-food supply chain.
Int. J. Prod. Res., 2025

2024
Non-binary dynamical Ising machines for combinatorial optimization.
CoRR, 2024

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
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


  Loading...