Adithya Krishna

According to our database, Adithya Krishna authored at least 8 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2023

RAMAN: A Re-configurable and Sparse tinyML Accelerator for Inference on Edge.

Adithya Krishna, Srikanth Rohit Nudurupati, Chandana D. G, Pritesh Dwivedi, André van Schaik, Mahesh Mehendale, Chetan Singh Thakur

CoRR, 2023

A Sparsity-driven tinyML Accelerator for Decoding Hand Kinematics in Brain-Computer Interfaces.

Adithya Krishna, Vignesh Ramanathan, Satyapreet Singh Yadav, Sahil Shah, André van Schaik, Mahesh Mehendale, Chetan Singh Thakur

Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2023

Live Demonstration: Audio Inference using Neuromorphic Cochlea on RAMAN Accelerator.

Adithya Krishna, Hitesh Pavan Oleti, Anand Chauhan, H. Shankaranarayanan, André van Schaik, Mahesh Mehendale, Chetan Singh Thakur

Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2023

2021

Biomimetic FPGA-based spatial navigation model with grid cells and place cells.

Adithya Krishna, Divyansh Mittal, Siri Garudanagiri Virupaksha, Abhishek Ramdas Nair, Rishikesh Narayanan, Chetan Singh Thakur

Neural Networks, 2021

FPGA Implementation of Particle Filters for Robotic Source Localization.

Adithya Krishna, André van Schaik, Chetan Singh Thakur

IEEE Access, 2021

Bayesian Source Localization Using Stochastic Computation.

Adithya Krishna, Chetan Singh Thakur

Proceedings of the IEEE International Symposium on Circuits and Systems, 2021

2020

Implementation of fast independent component analysis on field-programmable gate array for resolving the slot collision issue in the space-based automatic identification system.

Adithya Krishna, Akshay Nimbal, Adarsh Makam A, V. Sambasiva Rao

Int. J. Satell. Commun. Netw., 2020

Source localization using particle filtering on FPGA for robotic navigation with imprecise binary measurement.

Adithya Krishna, André van Schaik, Chetan Singh Thakur

CoRR, 2020