Author of the publication

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

A 130.7mm2 2-layer 32Gb ReRAM memory device in 24nm technology.

T. Liu, T. Yan, R. Scheuerlein, Y. Chen, J. Lee, G. Balakrishnan, G. Yee, H. Zhang, A. Yap, J. Ouyang, T. Sasaki, S. Addepalli, A. Al-Shamma, C. Chen, M. Gupta, G. Hilton, S. Joshi, A. Kathuria, V. Lai, D. Masiwal, M. Matsumoto, A. Nigam, A. Pai, J. Pakhale, C. Siau, X. Wu, R. Yin, L. Peng, J. Kang, S. Huynh, H. Wang, N. Nagel, Y. Tanaka, M. Higashitani, T. Minvielle, C. Gorla, T. Tsukamoto, T. Yamaguchi, M. Okajima, T. Okamura, S. Takase, T. Hara, H. Inoue, L. Fasoli, M. Mofidi, R. Shrivastava, and K. Quader. ISSCC, page 210-211. IEEE, (2013)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Sravanti Uppaluri

Other publications of authors with the same name

DAFT: Distilling Adversarially Fine-tuned Models for Better OOD Generalization.A. Nasery, S. Addepalli, P. Netrapalli, and P. Jain. CoRR, (2022)Towards Data-Free Model Stealing in a Hard Label Setting.S. Sanyal, S. Addepalli, and R. Babu. CVPR, page 15263-15272. IEEE, (2022)Boosting Adversarial Robustness Using Feature Level Stochastic Smoothing.S. Addepalli, S. Jain, G. Sriramanan, and R. Babu. CVPR Workshops, page 93-102. Computer Vision Foundation / IEEE, (2021)A 130.7mm2 2-layer 32Gb ReRAM memory device in 24nm technology.T. Liu, T. Yan, R. Scheuerlein, Y. Chen, J. Lee, G. Balakrishnan, G. Yee, H. Zhang, A. Yap, J. Ouyang and 37 other author(s). ISSCC, page 210-211. IEEE, (2013)Guided Adversarial Attack for Evaluating and Enhancing Adversarial Defenses.G. Sriramanan, S. Addepalli, A. Baburaj, and R. Babu. CoRR, (2020)Feature Reconstruction From Outputs Can Mitigate Simplicity Bias in Neural Networks.S. Addepalli, A. Nasery, V. Radhakrishnan, P. Netrapalli, and P. Jain. ICLR, OpenReview.net, (2023)Distilling from Vision-Language Models for Improved OOD Generalization in Vision Tasks.S. Addepalli, A. Asokan, L. Sharma, and R. Babu. CoRR, (2023)DART: Diversify-Aggregate-Repeat Training Improves Generalization of Neural Networks.S. Jain, S. Addepalli, P. Sahu, P. Dey, and R. Babu. CVPR, page 16048-16059. IEEE, (2023)Certified Adversarial Robustness Within Multiple Perturbation Bounds.S. Nandi, S. Addepalli, H. Rangwani, and R. Babu. CVPR Workshops, page 2298-2305. IEEE, (2023)Saliency-Driven Class Impressions For Feature Visualization Of Deep Neural Networks.S. Addepalli, D. Tamboli, R. Babu, and B. Banerjee. ICIP, page 1936-1940. IEEE, (2020)

BibSonomy

Disambiguation of "Addepalli, Sravanti"

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

A 130.7mm2 2-layer 32Gb ReRAM memory device in 24nm technology.

Please choose a person to relate this publication to

Sravanti Uppaluri

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Addepalli, Sravanti"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML A 130.7mm2 2-layer 32Gb ReRAM memory device in 24nm technology.

Please choose a person to relate this publication to

Sravanti Uppaluri

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

A 130.7mm2 2-layer 32Gb ReRAM memory device in 24nm technology.