Aditya Shukla - RankMe

19 papers A* 1B 2Journal 15Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Benchmarking LLM Summaries of Multimodal Clinical Time Series for Remote Monitoring. CoRR Aditya Shukla, Yining Yuan, J. Ben Tamo, Yifei Wang, Micky C. Nnamdi, Shaun Tan, Jieru Li, Benoit Marteau, Brad Willingham, May D. Wang
2025	J	`jnl`	Actor-critic driven deep reinforcement learning for optimising agri-food supply chain. Int. J. Prod. Res. Aditya Shukla, Shubham Tanaji Kakde, Rony Mitra, Jasashwi Mandal, Manoj Kumar Tiwari
2025	J	`jnl`	Financial Instruction Following Evaluation (FIFE). CoRR Glenn Matlin, Siddharth, Anirudh JM, Aditya Shukla, Yahya Hassan, Sudheer Chava
2025	J	`jnl`	Relaxation-based dynamical Ising machines for discrete tomography. CoRR Mikhail Erementchouk, Aditya Shukla, Pinaki Mazumder
2025	J	`jnl`	Scalable almost-linear dynamical Ising machines. Nat. Comput. Aditya Shukla, Mikhail Erementchouk, Pinaki Mazumder
2024	J	`jnl`	Non-binary dynamical Ising machines for combinatorial optimization. CoRR Aditya Shukla, Mikhail Erementchouk, Pinaki Mazumder
2023	J	`jnl`	Custom CMOS Ising Machine Based on Relaxed Burer-Monteiro-Zhang Heuristic. IEEE Trans. Computers Aditya Shukla, Mikhail Erementchouk, Pinaki Mazumder
2023	J	`jnl`	Self-contained relaxation-based dynamical Ising machines. CoRR Mikhail Erementchouk, Aditya Shukla, Pinaki Mazumder
2022	—	`conf`	KnowPAML: A Knowledge Enhanced Framework for Adaptable Personalized Dialogue Generation Using Meta-Learning. ICON Aditya Shukla, Zishan Ahmad, Asif Ekbal
2022	J	`jnl`	Scalable almost-linear dynamical Ising machines. CoRR Aditya Shukla, Mikhail Erementchouk, Pinaki Mazumder
2020	A*	`conf`	ActiveThief: Model Extraction Using Active Learning and Unannotated Public Data. AAAI Soham Pal, Yash Gupta, Aditya Shukla, Aditya Kanade, Shirish K. Shevade, Vinod Ganapathy
2020	J	`jnl`	Linear Delay-cell Design for Low-energy Delay Multiplication and Accumulation. CoRR Aditya Shukla
2019	J	`jnl`	A framework for the extraction of Deep Neural Networks by leveraging public data. CoRR Soham Pal, Yash Gupta, Aditya Shukla, Aditya Kanade, Shirish K. Shevade, Vinod Ganapathy
2018	B	`conf`	A case for multiple and parallel RRAMs as synaptic model for training SNNs. IJCNN Aditya Shukla, Sidharth Prasad, Sandip Lashkare, Udayan Ganguly
2018	J	`jnl`	A case for multiple and parallel RRAMs as synaptic model for training SNNs. CoRR Aditya Shukla, Sidharth Prasad, Sandip Lashkare, Udayan Ganguly
2018	J	`jnl`	An On-Chip Trainable and the Clock-Less Spiking Neural Network With 1R Memristive Synapses. IEEE Trans. Biomed. Circuits Syst. Aditya Shukla, Udayan Ganguly
2017	J	`jnl`	A Real-time Trainable and Clock-less Spiking Neural Network with 1R Memristive Synapses. CoRR Aditya Shukla, Udayan Ganguly
2017	J	`jnl`	A Software-equivalent SNN Hardware using RRAM-array for Asynchronous Real-time Learning. CoRR Aditya Shukla, Vinay Kumar, Udayan Ganguly
2017	B	`conf`	A software-equivalent SNN hardware using RRAM-array for asynchronous real-time learning. IJCNN Aditya Shukla, Vinay Kumar, Udayan Ganguly