Ashwin Bhat

Orcid: 0000-0002-6395-9345

According to our database1, Ashwin Bhat authored at least 12 papers between 2020 and 2024.

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

Timeline

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Bibliography

2024
A Heterogeneous RRAM In-Memory and SRAM Near-Memory SoC for Fused Frame and Event-Based Target Identification and Tracking.
IEEE J. Solid State Circuits, January, 2024

2023
A 73.53TOPS/W 14.74TOPS Heterogeneous RRAM In-Memory and SRAM Near-Memory SoC for Hybrid Frame and Event-Based Target Tracking.
Proceedings of the IEEE International Solid- State Circuits Conference, 2023

Non-Uniform Interpolation in Integrated Gradients for Low-Latency Explainable-AI.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2023

A Scalable Platform for Single-Snapshot Direction Of Arrival (DOA) Estimation in Massive MIMO Systems.
Proceedings of the Great Lakes Symposium on VLSI 2023, 2023

A 4.6nW Subthreshold Voltage Reference with 400× Current Variation Reduction and 64-Step 0.11% Output Voltage Programmability.
Proceedings of the 49th IEEE European Solid State Circuits Conference, 2023

M5: Multi-modal Multi-task Model Mapping on Multi-FPGA with Accelerator Configuration Search.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023

Explainable ECG Beat Classification On The Edge for Smart, Trustworthy and Low-Power Wearables.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2023

E-Track: Eye Tracking with Event Camera for Extended Reality (XR) Applications.
Proceedings of the 5th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2023

Reducing Overhead of Feature Importance Visualization via Static GradCAM Computation.
Proceedings of the 5th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2023

2022
Gradient Backpropagation based Feature Attribution to Enable Explainable-AI on the Edge.
Proceedings of the 30th IFIP/IEEE 30th International Conference on Very Large Scale Integration, 2022

Exploration into the Explainability of Neural Network Models for Power Side-Channel Analysis.
Proceedings of the GLSVLSI '22: Great Lakes Symposium on VLSI 2022, Irvine CA USA, June 6, 2022

2020
Temperature Dependence of Volatile Current shoot-up in PrMnO3 based Selector-less RRAM.
CoRR, 2020


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