Ameya D. Patil

Publication Activity (10 Years)

Years Active: 2014-2021
Publications (10 Years): 9

Top Topics

Optical Coherence Tomography

Ultrasonic Images

Belief Propagation

Automated Detection

Top Venues

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

Publications

Ameya D. Patil, Michael Tuttle, Alexander G. Schwing, Naresh R. Shanbhag
Adversarial Training to the Union of Perturbation Models. CoRR (2021)
Sujan K. Gonugondla, Ameya D. Patil, Naresh R. Shanbhag
SWIPE: Enhancing Robustness of ReRAM Crossbars for In-memory Computing. ICCAD (2020)
Mingu Kang, Yongjune Kim, Ameya D. Patil, Naresh R. Shanbhag
Deep In-Memory Architectures for Machine Learning-Accuracy Versus Efficiency Trade-Offs. IEEE Trans. Circuits Syst. I Fundam. Theory Appl. (5) (2020)
Ameya D. Patil, Haocheng Hua, Sujan K. Gonugondla, Mingu Kang, Naresh R. Shanbhag
An MRAM-Based Deep In-Memory Architecture for Deep Neural Networks. ISCAS (2019)
Naresh R. Shanbhag, Naveen Verma, Yongjune Kim, Ameya D. Patil, Lav R. Varshney
Shannon-Inspired Statistical Computing for the Nanoscale Era. Proc. IEEE 107 (1) (2019)
Ameya D. Patil, Sasikanth Manipatruni, Dmitri E. Nikonov, Ian A. Young, Naresh R. Shanbhag
An Energy-Efficient Classifier via Boosted Spin Channel Networks. ISCAS (2019)
Ameya D. Patil, Sasikanth Manipatruni, Dmitri E. Nikonov, Ian A. Young, Naresh R. Shanbhag
Shannon-inspired Statistical Computing to Enable Spintronics. CoRR (2017)
Charbel Sakr, Ameya D. Patil, Sai Zhang, Yongjune Kim, Naresh R. Shanbhag
Minimum precision requirements for the SVM-SGD learning algorithm. ICASSP (2017)
Jungwook Choi, Ameya D. Patil, Rob A. Rutenbar, Naresh R. Shanbhag
Analysis of error resiliency of belief propagation in computer vision. ICASSP (2016)
Nizampatnam Srinath, Ameya D. Patil, Vupparaboina Kiran Kumar, Soumya Jana, Jay Chhablani, Ashutosh Richhariya
Automated detection of choroid boundary and vessels in optical coherence tomography images. EMBC (2014)