Sotabase

Career

· Senior Applied Scientist, Amazon Lab1262024–
· Staff Digital Design Engineer, IQ-Analog Corporation2017–
· Hardware Engineering Intern, Signal Laboratories, Inc.2016–
· Grader, University of California, Irvine Division of Continuing Education2016–

Publications (20)

A Multi-Functional In-Memory Inference Processor Using a Standard 6T SRAM Array
IEEE Journal of Solid-State Circuits · 2018
181
cited
Compressing GANs using Knowledge Distillation
arXiv.org · 2019
86
cited
An MRAM-Based Deep In-Memory Architecture for Deep Neural Networks
International Symposium on Circuits and Systems · 2019
47
cited
Shannon-Inspired Statistical Computing for the Nanoscale Era
Proceedings of the IEEE · 2019
34
cited
A 481pJ/decision 3.4M decision/s Multifunctional Deep In-memory Inference Processor using Standard 6T SRAM Array
arXiv.org · 2016
28
cited
Minimum precision requirements for the SVM-SGD learning algorithm
IEEE International Conference on Acoustics, Speech, and Signal Processing · 2017
19
cited
Deep In-Memory Architectures for Machine Learning–Accuracy Versus Efficiency Trade-Offs
IEEE Transactions on Circuits and Systems Part 1: Regular Papers · 2020
17
cited
Shannon-inspired Statistical Computing to Enable Spintronics
arXiv.org · 2017
16
cited
SWIPE: Enhancing Robustness of ReRAM Crossbars for In-memory Computing
2020 IEEE/ACM International Conference On Computer Aided Design (ICCAD) · 2020
11
cited
Fundamental Limits on the Computational Accuracy of Resistive Crossbar-based In-memory Architectures
International Symposium on Circuits and Systems · 2022
10
cited
Understanding the Energy and Precision Requirements for Online Learning
arXiv.org · 2016
3
cited
Error-Resilient Spintronics via the Shannon- Inspired Model of Computation
IEEE Journal on Exploratory Solid-State Computational Devices and Circuits · 2019
2
cited
Analysis of error resiliency of belief propagation in computer vision
IEEE International Conference on Acoustics, Speech, and Signal Processing · 2016
1
cited
A systems approach to computing in beyond CMOS fabrics
Design Automation Conference · 2017
1
cited
Robustifying 𝓁∞ Adversarial Training to the Union of Perturbation Models
arXiv.org · 2021
1
cited
An Energy-Efficient Classifier via Boosted Spin Channel Networks
International Symposium on Circuits and Systems · 2019
ASL Network Spin Channel Network Input Final Decision Input ( a ) ( b ) " 1 Final Decision " 1
2019
Boosted Spin Channel Networks for Energy-Efficient Inference
IEEE Journal on Exploratory Solid-State Computational Devices and Circuits · 2019
Robustifying $\ell_\infty$ Adversarial Training to the Union of Perturbation Models
2021
Visualizing Historical Whaling Voyages over Time
Interactions · 2023
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Ameya Patil | Researcher Profile | Sotabase | Sotabase