Multimedia graphical grid based text password authentication: For advanced users. - Shivani Agrawal; Adil Zafar Ansari; M. Sarosh Umar (WOCN, 2016)

Queuing Analysis for Multiple-Antenna Cognitive Radio Wireless Networks With Beamforming. - Shivani Agrawal; Vishal Rana; Aditya K. Jagannatham (IEEE Signal Process. Lett., 2017)

Pareto-Optimal Quantized ResNet Is Mostly 4-Bit. - AmirAli Abdolrashidi; Lisa Wang; Shivani Agrawal; Jonathan Malmaud; Oleg Rybakov; Chas Leichner; Lukasz Lew (CVPR Workshops, 2021)

4-bit Conformer with Native Quantization Aware Training for Speech Recognition. - Shaojin Ding; Phoenix Meadowlark; Yanzhang He; Lukasz Lew; Shivani Agrawal; Oleg Rybakov (INTERSPEECH, 2022)

Training Recipe for N: M Structured Sparsity with Decaying Pruning Mask. - Sheng-Chun Kao; Amir Yazdanbakhsh; Suvinay Subramanian; Shivani Agrawal; Utku Evci; Tushar Krishna (CoRR, 2022)

Efficiently Scaling Transformer Inference. - Reiner Pope; Sholto Douglas; Aakanksha Chowdhery; Jacob Devlin; James Bradbury; Anselm Levskaya; Jonathan Heek; Kefan Xiao; Shivani Agrawal; Jeff Dean (CoRR, 2022)

Distributed Ledger Technology-based land transaction system with trusted nodes consensus mechanism. - Amrendra Singh Yadav; Shivani Agrawal; Dharmender Singh Kushwaha (J. King Saud Univ. Comput. Inf. Sci., 2022)

STEP: Learning N: M Structured Sparsity Masks from Scratch with Precondition. - Yucheng Lu; Shivani Agrawal; Suvinay Subramanian; Oleg Rybakov; Christopher De Sa; Amir Yazdanbakhsh (ICML, 2023)

Streaming Parrotron for on-device speech-to-speech conversion. - Oleg Rybakov; Fadi Biadsy; Xia Zhang; Liyang Jiang; Phoenix Meadowlark; Shivani Agrawal (INTERSPEECH, 2023)

Efficiently Scaling Transformer Inference. - Reiner Pope; Sholto Douglas; Aakanksha Chowdhery; Jacob Devlin; James Bradbury; Jonathan Heek; Kefan Xiao; Shivani Agrawal; Jeff Dean (MLSys, 2023)

PaLM: Scaling Language Modeling with Pathways. - Aakanksha Chowdhery; Sharan Narang; Jacob Devlin; Maarten Bosma; Gaurav Mishra; Adam Roberts; Paul Barham 001; Hyung Won Chung; Charles Sutton; Sebastian Gehrmann; Parker Schuh; Kensen Shi; et al. (J. Mach. Learn. Res., 2023)

Jaxpruner: A Concise Library for Sparsity Research. - Joo Hyung Lee; Wonpyo Park; Nicole Mitchell; Jonathan Pilault; Johan Samir Obando Ceron; Han-Byul Kim; Namhoon Lee; Elias Frantar; Yun Long; Amir Yazdanbakhsh; Woohyun Han; Shivani Agrawal; et al. (CPAL, 2024)

USM-Lite: Quantization and Sparsity Aware Fine-Tuning for Speech Recognition with Universal Speech Models. - Shaojin Ding; David Qiu; David Rim; Yanzhang He; Oleg Rybakov; Bo Li 028; Rohit Prabhavalkar; Weiran Wang; Tara N. Sainath; Zhonglin Han; Jian Li; Amir Yazdanbakhsh; et al. (ICASSP, 2024)

Progressive Gradient Flow for Robust N: M Sparsity Training in Transformers. - Abhimanyu Rajeshkumar Bambhaniya; Amir Yazdanbakhsh; Suvinay Subramanian; Sheng-Chun Kao; Shivani Agrawal; Utku Evci; Tushar Krishna (CoRR, 2024)

Progressive Gradient Flow for Robust N:M Sparsity Training in Transformers. - Abhimanyu Rajeshkumar Bambhaniya; Amir Yazdanbakhsh; Suvinay Subramanian; Sheng-Chun Kao; Shivani Agrawal; Utku Evci; Tushar Krishna (CPAL, 2025)