Ramashish Gaurav

12 papers B 1Misc 2Journal 6Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Benchmarking Deep Legendre-SNN for Time Series Classification - Analysis and Enhancements.
IEEE Trans. Emerg. Top. Comput. Intell.
Ramashish Gaurav, Shrestha Agarwal, Terrence C. Stewart, Yang Yi
2026 Misc conf
Temporal Learning for Edge AI: Hyperdimensional Computing with Legendre Delay Networks.
ICNC
Md. Rubel Sarkar, Ramashish Gaurav, Govind Sunil Kumar, Shirazush Salekin Chowdhury, Yang Yi
2025 J jnl
DALTON - Deep Local Learning in SNNs via Local Weights and Surrogate-Derivative Transfer.
IEEE Trans. Emerg. Top. Comput.
Ramashish Gaurav, Duy Anh Do, Thinh Thanh Doan, Yang Yi
2023 J jnl
Reservoir based spiking models for univariate Time Series Classification.
Frontiers Comput. Neurosci.
Ramashish Gaurav, Terrence C. Stewart, Yang Yi
2022 B conf
Spiking Approximations of the MaxPooling Operation in Deep SNNs.
IJCNN
Ramashish Gaurav, Bryan P. Tripp, Apurva Narayan
2022 J jnl
Spiking Approximations of the MaxPooling Operation in Deep SNNs.
CoRR
Ramashish Gaurav, Bryan P. Tripp, Apurva Narayan
2022 Misc conf
Spiking Reservoir Computing for Temporal Edge Intelligence on Loihi.
SEC
Ramashish Gaurav, Terrence C. Stewart, Yang Cindy Yi
2021 — conf
Driving Scene Understanding: How much temporal context and spatial resolution is necessary?
Canadian AI
Ramashish Gaurav, Bryan P. Tripp, Apurva Narayan
2018 J jnl
A Train Status Assistant for Indian Railways.
CoRR
Himadri Mishra, Ramashish Gaurav, Biplav Srivastava
2018 — conf
Estimating Train Delays in a Large Rail Network Using a Zero Shot Markov Model.
ITSC
Ramashish Gaurav, Biplav Srivastava
2018 J jnl
Estimating Train Delays in a Large Rail Network Using a Zero Shot Markov Model.
CoRR
Ramashish Gaurav, Biplav Srivastava
2016 — conf
Informed multimodal latent subspace learning via supervised matrix factorization.
ICVGIP
Ramashish Gaurav, Mridula Verma, Kaushal Kumar Shukla