8 citations · 8 across the 4 of their papers we have counts for
4 papers
Pushing the Limits of Block Rotations in Post-Training Quantization
Sai Sanjeet, Ian Colbert, Pablo Monteagudo-Lago +3
Recent post-training quantization (PTQ) methods have adopted block rotations to diffuse outliers prior to rounding. While this reduces the overhead of online full-vector rotations,…
Variable Resolution Pixel Quantization for Low Power Machine Vision Application on Edge
Senorita Deb, Sai Sanjeet, Prabir Kumar Biswas +1
This work describes an approach towards pixel quantization using variable resolution which is made feasible using image transformation in the analog domain. The main aim is to redu…
Breaking the Barriers of One-to-One Usage of Implicit Neural Representation in Image Compression: A Linear Combination Approach with Performance Guarantees
Sai Sanjeet, Seyyedali Hosseinalipour, Jinjun Xiong +2
In an era where the exponential growth of image data driven by the Internet of Things (IoT) is outpacing traditional storage solutions, this work explores and advances the potentia…
SpikePipe: Accelerated Training of Spiking Neural Networks via Inter-Layer Pipelining and Multiprocessor Scheduling
Sai Sanjeet, Bibhu Datta Sahoo, Keshab K. Parhi
Spiking Neural Networks (SNNs) have gained popularity due to their high energy efficiency. Prior works have proposed various methods for training SNNs, including backpropagation-ba…