Automated detection of choroid boundary and vessels in optical coherence tomography images. - Srinath Nizampatnam; Ameya Patil 001; Kiran Kumar Vupparaboina; Soumya Jana; Jay Chhablani; Ashutosh Richhariya (EMBC, 2014)

Analysis of error resiliency of belief propagation in computer vision. - Jungwook Choi; Ameya D. Patil; Rob A. Rutenbar; Naresh R. Shanbhag (ICASSP, 2016)

Semi-automated quantification of retinal IS/OS damage in en-face OCT image. - Vineet Sunil Gattani; Kiran Kumar Vupparaboina; Ameya Patil 001; Jay Chhablani; Ashutosh Richhariya; Soumya Jana (Comput. Biol. Medicine, 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 001; Naresh R. Shanbhag (CoRR, 2016)

Understanding the Energy and Precision Requirements for Online Learning. - Charbel Sakr; Ameya Patil 001; Sai Zhang; Naresh R. Shanbhag (CoRR, 2016)

A Systems Approach to Computing in Beyond CMOS Fabrics: Invited. - Ameya Patil 001; 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 (DAC, 2017)

Minimum precision requirements for the SVM-SGD learning algorithm. - Charbel Sakr; Ameya Patil 001; Sai Zhang; Yongjune Kim 001; Naresh R. Shanbhag (ICASSP, 2017)

Shannon-inspired Statistical Computing to Enable Spintronics. - Ameya D. Patil; Sasikanth Manipatruni; Dmitri E. Nikonov; Ian A. Young; Naresh R. Shanbhag (CoRR, 2017)

A Multi-Functional In-Memory Inference Processor Using a Standard 6T SRAM Array. - Mingu Kang; Sujan K. Gonugondla; Ameya Patil 001; Naresh R. Shanbhag (IEEE J. Solid State Circuits, 2018)

An MRAM-Based Deep In-Memory Architecture for Deep Neural Networks. - Ameya D. Patil; Haocheng Hua; Sujan K. Gonugondla; Mingu Kang; Naresh R. Shanbhag (ISCAS, 2019)

An Energy-Efficient Classifier via Boosted Spin Channel Networks. - Ameya D. Patil; Sasikanth Manipatruni; Dmitri E. Nikonov; Ian A. Young; Naresh R. Shanbhag (ISCAS, 2019)

Compressing GANs using Knowledge Distillation. - Angeline Aguinaldo; Ping-Yeh Chiang; Alexander Gain; Ameya Patil 001; Kolten Pearson; Soheil Feizi (CoRR, 2019)

Shannon-Inspired Statistical Computing for the Nanoscale Era. - Naresh R. Shanbhag; Naveen Verma; Yongjune Kim 001; Ameya D. Patil; Lav R. Varshney (Proc. IEEE, 2019)

SWIPE: Enhancing Robustness of ReRAM Crossbars for In-memory Computing. - Sujan K. Gonugondla; Ameya D. Patil; Naresh R. Shanbhag (ICCAD, 2020)

Deep In-Memory Architectures for Machine Learning-Accuracy Versus Efficiency Trade-Offs. - Mingu Kang; Yongjune Kim 001; Ameya D. Patil; Naresh R. Shanbhag (IEEE Trans. Circuits Syst. I Fundam. Theory Appl., 2020)

Robustifying 𝓁∞ Adversarial Training to the Union of Perturbation Models. - Ameya D. Patil; Michael Tuttle; Alexander G. Schwing; Naresh R. Shanbhag (CoRR, 2021)

Fundamental Limits on the Computational Accuracy of Resistive Crossbar-based In-memory Architectures. - Saion K. Roy; Ameya Patil 001; Naresh R. Shanbhag (ISCAS, 2022)

DARai: Daily Activity Recordings for AI and ML aplications. - Ghazal Kaviani; Yavuz Yarici; Mohit Prabhushankar; Ghassan AlRegib; Mashhour Solh; Ameya Patil 001 (IEEE DataPort, 2024)

Multimodal Learning with Proxy Tokens. - Md Kaykobad Reza; Ameya Patil 001; Mashhour Solh; M. Salman Asif (IEEECONF, 2025)

MMP: Towards Robust Multi-Modal Learning with Masked Modality Projection. - Niki Nezakati; Md Kaykobad Reza; Ameya Patil 001; Mashhour Solh; M. Salman Asif (IEEE Big Data, 2025)

Robust Multimodal Learning via Cross-Modal Proxy Tokens. - Md Kaykobad Reza; Ameya Patil 001; Mashhour Solh; M. Salman Asif (Trans. Mach. Learn. Res., 2025)

U2A: Unified Unimodal Adaptation for Robust and Efficient Multimodal Learning. - Md Kaykobad Reza; Niki Nezakati; Ameya Patil 001; Mashhour Solh; M. Salman Asif (CoRR, 2025)

Hierarchical and Multimodal Data for Daily Activity Understanding. - Ghazal Kaviani; Yavuz Yarici; Seulgi Kim; Mohit Prabhushankar; Ghassan AlRegib; Mashhour Solh; Ameya Patil 001 (J. Data-centric Mach. Learn. Res., 2026)

SSAM: Singular Subspace Alignment for Merging Multimodal Large Language Models. - Md Kaykobad Reza; Ameya Patil 001; Edward Ayrapetian; M. Salman Asif (CoRR, 2026)