Ameya D. Patil

Orcid: 0000-0002-9743-4264

According to our database1, Ameya D. Patil authored at least 22 papers between 2014 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
DARai: Daily Activity Recordings for AI and ML aplications.
Dataset, June, 2024

MMP: Towards Robust Multi-Modal Learning with Masked Modality Projection.
CoRR, 2024

2023
Studying Early Decision Making with Progressive Bar Charts.
IEEE Trans. Vis. Comput. Graph., 2023

Visualizing Historical Whaling Voyages over Time.
Interactions, 2023

WhaleVis: Visualizing the History of Commercial Whaling.
Proceedings of the 2023 IEEE Visualization and Visual Analytics (VIS), 2023

2022
Fundamental Limits on the Computational Accuracy of Resistive Crossbar-based In-memory Architectures.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2022

2021
Robustifying 𝓁<sub>∞</sub> Adversarial Training to the Union of Perturbation Models.
CoRR, 2021

2020
Deep In-Memory Architectures for Machine Learning-Accuracy Versus Efficiency Trade-Offs.
IEEE Trans. Circuits Syst. I Fundam. Theory Appl., 2020

SWIPE: Enhancing Robustness of ReRAM Crossbars for In-memory Computing.
Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2020

2019
Shannon-Inspired Statistical Computing for the Nanoscale Era.
Proc. IEEE, 2019

Compressing GANs using Knowledge Distillation.
CoRR, 2019

An Energy-Efficient Classifier via Boosted Spin Channel Networks.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2019

An MRAM-Based Deep In-Memory Architecture for Deep Neural Networks.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2019

2018
A Multi-Functional In-Memory Inference Processor Using a Standard 6T SRAM Array.
IEEE J. Solid State Circuits, 2018

2017
Shannon-inspired Statistical Computing to Enable Spintronics.
CoRR, 2017

Minimum precision requirements for the SVM-SGD learning algorithm.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

A Systems Approach to Computing in Beyond CMOS Fabrics: Invited.
Proceedings of the 54th Annual Design Automation Conference, 2017

2016
Understanding the Energy and Precision Requirements for Online Learning.
CoRR, 2016

A 481pJ/decision 3.4M decision/s Multifunctional Deep In-memory Inference Processor using Standard 6T SRAM Array.
CoRR, 2016

Semi-automated quantification of retinal IS/OS damage in en-face OCT image.
Comput. Biol. Medicine, 2016

Analysis of error resiliency of belief propagation in computer vision.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2014
Automated detection of choroid boundary and vessels in optical coherence tomography images.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014


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