Ameya Patil

According to our database, Ameya Patil authored at least 24 papers between 2014 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

SSAM: Singular Subspace Alignment for Merging Multimodal Large Language Models.

Md Kaykobad Reza, Ameya Patil, Edward Ayrapetian, M. Salman Asif

CoRR, March, 2026

Hierarchical and Multimodal Data for Daily Activity Understanding.

Ghazal Kaviani, Yavuz Yarici, Seulgi Kim, Mohit Prabhushankar, Ghassan AlRegib, Mashhour Solh, Ameya Patil

J. Data-centric Mach. Learn. Res., 2026

2025

U2A: Unified Unimodal Adaptation for Robust and Efficient Multimodal Learning.

Md Kaykobad Reza, Niki Nezakati, Ameya Patil, Mashhour Solh, M. Salman Asif

CoRR, January, 2025

Robust Multimodal Learning via Cross-Modal Proxy Tokens.

Md Kaykobad Reza, Ameya Patil, Mashhour Solh, M. Salman Asif

Trans. Mach. Learn. Res., 2025

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

Niki Nezakati, Md Kaykobad Reza, Ameya Patil, Mashhour Solh, M. Salman Asif

Proceedings of the IEEE International Conference on Big Data, 2025

Multimodal Learning with Proxy Tokens.

Md Kaykobad Reza, Ameya Patil, Mashhour Solh, M. Salman Asif

Proceedings of the 59th Asilomar Conference on Signals, 2025

2024

DARai: Daily Activity Recordings for AI and ML aplications.

Ghazal Kaviani, Yavuz Yarici, Mohit Prabhushankar, Ghassan AlRegib, Mashhour Solh, Ameya Patil

Dataset, June, 2024

2022

Fundamental Limits on the Computational Accuracy of Resistive Crossbar-based In-memory Architectures.

Saion K. Roy, Ameya Patil, Naresh R. Shanbhag

Proceedings of the IEEE International Symposium on Circuits and Systems, 2022

2021

Robustifying 𝓁_∞ Adversarial Training to the Union of Perturbation Models.

Ameya D. Patil, Michael Tuttle, Alexander G. Schwing, Naresh R. Shanbhag

CoRR, 2021

2020

Deep In-Memory Architectures for Machine Learning-Accuracy Versus Efficiency Trade-Offs.

Mingu Kang, Yongjune Kim, Ameya D. Patil, Naresh R. Shanbhag

IEEE Trans. Circuits Syst. I Fundam. Theory Appl., 2020

SWIPE: Enhancing Robustness of ReRAM Crossbars for In-memory Computing.

Sujan K. Gonugondla, Ameya D. Patil, Naresh R. Shanbhag

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2020

2019

Shannon-Inspired Statistical Computing for the Nanoscale Era.

Naresh R. Shanbhag, Naveen Verma, Yongjune Kim, Ameya D. Patil, Lav R. Varshney

Proc. IEEE, 2019

Compressing GANs using Knowledge Distillation.

Angeline Aguinaldo, Ping-Yeh Chiang, Alexander Gain, Ameya Patil, Kolten Pearson, Soheil Feizi

CoRR, 2019

An Energy-Efficient Classifier via Boosted Spin Channel Networks.

Ameya D. Patil, Sasikanth Manipatruni, Dmitri E. Nikonov, Ian A. Young, Naresh R. Shanbhag

Proceedings of the IEEE International Symposium on Circuits and Systems, 2019

An MRAM-Based Deep In-Memory Architecture for Deep Neural Networks.

Ameya D. Patil, Haocheng Hua, Sujan K. Gonugondla, Mingu Kang, Naresh R. Shanbhag

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.

Mingu Kang, Sujan K. Gonugondla, Ameya Patil, Naresh R. Shanbhag

IEEE J. Solid State Circuits, 2018

2017

Shannon-inspired Statistical Computing to Enable Spintronics.

Ameya D. Patil, Sasikanth Manipatruni, Dmitri E. Nikonov, Ian A. Young, Naresh R. Shanbhag

CoRR, 2017

Minimum precision requirements for the SVM-SGD learning algorithm.

Charbel Sakr, Ameya Patil, Sai Zhang, Yongjune Kim, Naresh R. Shanbhag

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

A Systems Approach to Computing in Beyond CMOS Fabrics: Invited.

Ameya Patil, Naresh R. Shanbhag, Lav R. Varshney, Eric Pop, H.-S. Philip Wong, Subhasish Mitra, Jan M. Rabaey, Jeffrey A. Weldon, Larry T. Pileggi, Sasikanth Manipatruni, Dmitri E. Nikonov, Ian A. Young

Proceedings of the 54th Annual Design Automation Conference, 2017

2016

Understanding the Energy and Precision Requirements for Online Learning.

Charbel Sakr, Ameya Patil, Sai Zhang, Naresh R. Shanbhag

CoRR, 2016

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

Mingu Kang, Sujan K. Gonugondla, Ameya Patil, Naresh R. Shanbhag

CoRR, 2016

Semi-automated quantification of retinal IS/OS damage in en-face OCT image.

Vineet Sunil Gattani, Kiran Kumar Vupparaboina, Ameya Patil, Jay Chhablani, Ashutosh Richhariya, Soumya Jana

Comput. Biol. Medicine, 2016

Analysis of error resiliency of belief propagation in computer vision.

Jungwook Choi, Ameya D. Patil, Rob A. Rutenbar, Naresh R. Shanbhag

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2014

Automated detection of choroid boundary and vessels in optical coherence tomography images.

Srinath Nizampatnam, Ameya Patil, Kiran Kumar Vupparaboina, Soumya Jana, Jay Chhablani, Ashutosh Richhariya

Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014