Prabodh Katti

According to our database1, Prabodh Katti authored at least 9 papers between 2023 and 2024.

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

Timeline

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Links

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Bibliography

2024
Bayes2IMC: In-Memory Computing for Bayesian Binary Neural Networks.
CoRR, 2024

Sparsity-Aware Optimization of In-Memory Bayesian Binary Neural Network Accelerators.
CoRR, 2024

Xpikeformer: Hybrid Analog-Digital Hardware Acceleration for Spiking Transformers.
CoRR, 2024

Baseline Drift Tolerant Signal Encoding for ECG Classification with Deep Learning.
CoRR, 2024

Hardware-Software Co-optimised Fast and Accurate Deep Reconfigurable Spiking Inference Accelerator Architecture Design Methodology.
Proceedings of the 37th IEEE International System-on-Chip Conference, 2024

Bayesian Inference Accelerator for Spiking Neural Networks.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2024

Baseline Drift Tolerant Signal Encoding for ECG Classification with Deep Learning.
Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024

Stochastic Spiking Attention: Accelerating Attention with Stochastic Computing in Spiking Networks.
Proceedings of the 6th IEEE International Conference on AI Circuits and Systems, 2024

2023
Bayesian Inference on Binary Spiking Networks Leveraging Nanoscale Device Stochasticity.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2023


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