Zobrazeno 1 - 10
of 87
pro vyhledávání: '"Janardhan Rao Doppa"'
Publikováno v:
Frontiers in Robotics and AI, Vol 7 (2020)
We consider the problem of learning generalized first-order representations of concepts from a small number of examples. We augment an inductive logic programming learner with 2 novel contributions. First, we define a distance measure between candida
Externí odkaz:
https://doaj.org/article/070b0c03e55e450a9012d6c6fe52f594
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. 45:7353-7366
Despite the rapid progress on research in adversarial robustness of deep neural networks (DNNs), there is little principled work for the time-series domain. Since time-series data arises in diverse applications including mobile health, finance, and s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8d39172bd6d8f2ba07e8c58bfbfd28b8
https://doi.org/10.1109/tpami.2022.3224754
https://doi.org/10.1109/tpami.2022.3224754
Publikováno v:
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 41:4145-4156
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::192d95ad26af18ceb0121ada851f8281
https://doi.org/10.1109/tcad.2022.3197500
https://doi.org/10.1109/tcad.2022.3197500
Autor:
Chukwufumnanya Ogbogu, Aqeeb Iqbal Arka, Biresh Kumar Joardar, Janardhan Rao Doppa, Hai Li, Krishnendu Chakrabarty, Partha Pratim Pande
Publikováno v:
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 41:3626-3637
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cfa8b82e3f789d1b1c5d4e9e19269b74
https://doi.org/10.1109/tcad.2022.3197342
https://doi.org/10.1109/tcad.2022.3197342
Autor:
Janardhan Rao Doppa, Partha Pratim Pande, Krishnendu Chakrabarty, Biresh Kumar Joardar, Aryan Deshwal
Publikováno v:
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 41:1537-1549
Resistive random-access memory (ReRAM)-based architectures can be used to accelerate Convolutional Neural Network (CNN) training. However, existing architectures either do not support normalization at all or they support only a limited version of it.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dd4d2ce54475b43b169b41037b5763d6
https://doi.org/10.1109/tcad.2021.3083684
https://doi.org/10.1109/tcad.2021.3083684
Publikováno v:
IEEE Transactions on Transportation Electrification. 8:1467-1481
This paper presents an automated design and optimization framework for electric transportation power systems (ETPS), enabled by machine learning (ML). The use of physical models, simulations, and optimization methods can greatly aid the engineering d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d4ef08248c14965064fc1bcc3e57644d
https://doi.org/10.1109/tte.2021.3113958
https://doi.org/10.1109/tte.2021.3113958
Autor:
Biresh Kumar Joardar, Janardhan Rao Doppa, Hai Li, Krishnendu Chakrabarty, Partha Pratim Pande
Publikováno v:
IEEE Transactions on Emerging Topics in Computing. :1-14
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9e3f97713e533433292461b0f345dd04
https://doi.org/10.1109/tetc.2022.3223630
https://doi.org/10.1109/tetc.2022.3223630
Autor:
Partha Pratim Pande, Janardhan Rao Doppa, Krishnendu Chakrabarty, Biresh Kumar Joardar, Aqeeb Iqbal Arka
Publikováno v:
IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 29:1743-1756
Graph neural network (GNN) is a variant of deep neural networks (DNNs) operating on graphs. However, GNNs are more complex compared with DNNs as they simultaneously exhibit attributes of both DNN and graph computations. In this work, we propose a ReR
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::55dc43c562abe0085b4c14ab9bafc0ac
https://doi.org/10.1109/tvlsi.2021.3110721
https://doi.org/10.1109/tvlsi.2021.3110721
Publikováno v:
Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::31138a78446bb4497bb0dc0f66ee5603
https://doi.org/10.1145/3508352.3549430
https://doi.org/10.1145/3508352.3549430
Publikováno v:
Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dbb354c93ff360e08770b75a92d525c3
https://doi.org/10.1145/3508352.3561120
https://doi.org/10.1145/3508352.3561120