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Adithya Krishna
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2020 – today
- 2024
- [j4]Adithya Krishna
, Srikanth Rohit Nudurupati
RAMAN: A Reconfigurable and Sparse tinyML Accelerator for Inference on Edge. IEEE Internet Things J. 11(14): 24831-24845 (2024) - [c4]Adithya Krishna, Ashwin Rajesh, Hitesh Pavan Oleti, Anand Chauhan, Shankaranarayanan H, André van Schaik, Mahesh Mehendale, Chetan Singh Thakur:
Live Demonstration: Real-time audio and visual inference on the RAMAN TinyML accelerator. ISCAS 2024: 1 - 2023
- [c3]Adithya Krishna, Hitesh Pavan Oleti, Anand Chauhan, H. Shankaranarayanan, André van Schaik, Mahesh Mehendale, Chetan Singh Thakur:
Live Demonstration: Audio Inference using Neuromorphic Cochlea on RAMAN Accelerator. BioCAS 2023: 1 - [c2]Adithya Krishna, Vignesh Ramanathan, Satyapreet Singh Yadav
A Sparsity-driven tinyML Accelerator for Decoding Hand Kinematics in Brain-Computer Interfaces. BioCAS 2023: 1-5 - [i2]Adithya Krishna, Srikanth Rohit Nudurupati, Chandana D. G, Pritesh Dwivedi, André van Schaik, Mahesh Mehendale, Chetan Singh Thakur:
RAMAN: A Re-configurable and Sparse tinyML Accelerator for Inference on Edge. CoRR abs/2306.06493 (2023) - 2021
- [j3]Adithya Krishna
FPGA Implementation of Particle Filters for Robotic Source Localization. IEEE Access 9: 98185-98203 (2021) - [j2]Adithya Krishna, Divyansh Mittal
Biomimetic FPGA-based spatial navigation model with grid cells and place cells. Neural Networks 139: 45-63 (2021) - [c1]Adithya Krishna, Chetan Singh Thakur:
Bayesian Source Localization Using Stochastic Computation. ISCAS 2021: 5 - 2020
- [j1]Adithya Krishna, Akshay Nimbal
Implementation of fast independent component analysis on field-programmable gate array for resolving the slot collision issue in the space-based automatic identification system. Int. J. Satell. Commun. Netw. 38(6): 480-498 (2020) - [i1]Adithya Krishna, André van Schaik, Chetan Singh Thakur:
Source localization using particle filtering on FPGA for robotic navigation with imprecise binary measurement. CoRR abs/2010.11911 (2020)
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