no code implementations • 4 Dec 2023 • Vinayak Sharma, Aviral Shrivastava
When compared to QMeL approaches, QPMeL achieves 3X better multi-class separation, while using only 1/2 the number of gates and depth.
1 code implementation • 23 May 2023 • Yi Hu, Chaoran Zhang, Edward Andert, Harshul Singh, Aviral Shrivastava, James Laudon, Yanqi Zhou, Bob Iannucci, Carlee Joe-Wong
Careful placement of a computational application within a target device cluster is critical for achieving low application completion time.
no code implementations • 18 Apr 2022 • Shail Dave, Alberto Marchisio, Muhammad Abdullah Hanif, Amira Guesmi, Aviral Shrivastava, Ihsen Alouani, Muhammad Shafique
The real-world use cases of Machine Learning (ML) have exploded over the past few years.
no code implementations • 2 Jul 2020 • Shail Dave, Riyadh Baghdadi, Tony Nowatzki, Sasikanth Avancha, Aviral Shrivastava, Baoxin Li
Machine learning (ML) models are widely used in many important domains.
no code implementations • 29 May 2019 • Bob Iannucci, Aviral Shrivastava, Mohammad Khayatian
Although timing and synchronization of a dynamically-changing set of elements and their related power considerations are essential to many cyber-physical systems (CPS), they are absent from today's programming languages, forcing programmers to handle these matters outside of the language and on a case-by-case basis.
Programming Languages Systems and Control
no code implementations • 21 Aug 2018 • Mahesh Balasubramanian, Trevor Ruiz, Brandon Cook, Sharmodeep Bhattacharyya, Prabhat, Aviral Shrivastava, Kristofer Bouchard
The analysis of scientific data of increasing size and complexity requires statistical machine learning methods that are both interpretable and predictive.