E-LIB Suche - Ergebnisse für: Jain, Shubham Anand

1

Sequential community mode estimation:

Jain, Shubham Anand ; Goenka, Shreyas ; Bapna, Divyam..
Performance Evaluation. 152 (2021) - p. 102247 , 2021

Link: https://doi.org/10.1016/..

2

Generalized Fractional Matched Filtering and its Applicatio..:

, In: 2020 National Conference on Communications (NCC),

Sahay, Peeyush ; Anjarlekar, Ameya ; Jain, Shubham Anand.. - p. 1-6 , 2020

Link: https://doi.org/10.1109/..

3

Generalized Fractional Ambiguity Function and Its Applicati..:

Sahay, Peeyush ; Shaik Rasheed, Izaz Ahamed ; Kulkarni, Pranav...
Circuits, Systems, and Signal Processing. 39 (2020) 10 - p. 4980-5019 , 2020

Link: https://doi.org/10.1007/..

4

Sequential community mode estimation:

Anand Jain, Shubham ; Goenka, Shreyas ; Bapna, Divyam..
ACM SIGMETRICS Performance Evaluation Review. 49 (2022) 3 - p. 63-64 , 2022

Link: https://doi.org/10.1145/..

5

Sequential Community Mode Estimation:

Jain, Shubham Anand ; Goenka, Shreyas ; Bapna, Divyam..
http://arxiv.org/abs/2111.08535. , 2021

Link: http://arxiv.org/abs/211..

6

PAC Mode Estimation using PPR Martingale Confidence Sequenc..:

Jain, Shubham Anand ; Shah, Rohan ; Gupta, Sanit...
http://arxiv.org/abs/2109.05047. , 2021

Link: http://arxiv.org/abs/210..

7

Ax-BxP: Approximate Blocked Computation for Precision-recon..:

Elangovan, Reena ; Jain, Shubham ; Raghunathan, Anand
ACM Transactions on Design Automation of Electronic Systems. 27 (2022) 3 - p. 1-20 , 2022

Link: https://doi.org/10.1145/..

8

TxSim: Modeling Training of Deep Neural Networks on Resisti..:

Roy, Sourjya ; Sridharan, Shrihari ; Jain, Shubham.
IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 29 (2021) 4 - p. 730-738 , 2021

Link: https://doi.org/10.1109/..

9

Emerging neural workloads and their impact on hardware:

, In: Proceedings of the 23rd Conference on Design, Automation and Test in Europe,

Brooks, David ; Frank, Martin M. ; Gokmen, Tayfun... - p. 1462-1471 , 2020

Link: https://dl.acm.org/doi/1..

10

Ternary Compute-Enabled Memory using Ferroelectric Transist..:

, In: 2020 Design, Automation & Test in Europe Conference & Exhibition (DATE),

Thirumala, Sandeep Krishna ; Jain, Shubham ; Gupta, Sumeet Kumar. - p. 31-36 , 2020

Link: https://doi.org/10.23919..

11

Emerging Neural Workloads and Their Impact on Hardware:

, In: 2020 Design, Automation & Test in Europe Conference & Exhibition (DATE),

Brooks, David ; Frank, Martin M. ; Gokmen, Tayfun... - p. 1462-1471 , 2020

Link: https://doi.org/10.23919..

12

Ternary compute-enabled memory using ferroelectric transist..:

, In: Proceedings of the 23rd Conference on Design, Automation and Test in Europe,

Thirumala, Sandeep Krishna ; Jain, Shubham ; Gupta, Sumeet Kumar. - p. 31-36 , 2020

Link: https://dl.acm.org/doi/1..

13

TiM-DNN: Ternary In-Memory Accelerator for Deep Neural Netw..:

Jain, Shubham ; Gupta, Sumeet Kumar ; Raghunathan, Anand
IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 28 (2020) 7 - p. 1567-1577 , 2020

Link: https://doi.org/10.1109/..

14

Reactive changes with microfilaria in a suspected metastati..:

Anand, Anuja ; Tyagi, Aarti ; Jain, Shubham.
World Journal of Nuclear Medicine. 19 (2020) 2 - p. 171-173 , 2020

Link: https://doi.org/10.4103/..

15

CxDNN : Hardware-software Compensation Methods for Deep ..:

Jain, Shubham ; Raghunathan, Anand
ACM Transactions on Embedded Computing Systems (TECS). 18 (2019) 6 - p. 1-23 , 2019

Link: https://dl.acm.org/doi/1..