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Adepu Ravi Sankar
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2020 – today
- 2024
- [j5]J. Lavanya
, M. Aakash, Adepu Ravi Sankar
, N. Gomathi:
Development of an Electrochemical Dopamine Sensor Using Nitrogen-Rich Sulfur Dual-Doped Reduced Graphene Oxide. IEEE Access 12: 66931-66940 (2024) - 2021
- [c7]Adepu Ravi Sankar, Yash Khasbage, Rahul Vigneswaran, Vineeth N. Balasubramanian:
A Deeper Look at the Hessian Eigenspectrum of Deep Neural Networks and its Applications to Regularization. AAAI 2021: 9481-9488 - 2020
- [j4]S. M. Sakthivel, Adepu Ravi Sankar:
Computation-efficient image watermarking architecture with improved performance. Comput. Electr. Eng. 84: 106649 (2020) - [j3]Vaibhav B. Sinha
, Sneha Kudugunta
, Adepu Ravi Sankar, Surya Teja Chavali, Vineeth N. Balasubramanian
:
DANTE: Deep alternations for training neural networks. Neural Networks 131: 127-143 (2020) - [c6]S. Saranya, Adepu Ravi Sankar
:
A Microcontroller-based Electrochemical Discharge Machining (ECDM) Equipment for Micro-drilling of Quartz Substrates. iSES 2020: 221-226 - [i5]Adepu Ravi Sankar, Yash Khasbage, Rahul Vigneswaran, Vineeth N. Balasubramanian:
A Deeper Look at the Hessian Eigenspectrum of Deep Neural Networks and its Applications to Regularization. CoRR abs/2012.03801 (2020)
2010 – 2019
- 2019
- [i4]Sneha Kudugunta, Vaibhav B. Sinha, Adepu Ravi Sankar, Surya Teja Chavali, Purushottam Kar, Vineeth N. Balasubramanian:
DANTE: Deep AlterNations for Training nEural networks. CoRR abs/1902.00491 (2019) - 2018
- [j2]S. M. Sakthivel, Adepu Ravi Sankar
:
An ASIC based invisible watermarking of grayscale images using pixel value search algorithm (PVSA). Multim. Tools Appl. 77(20): 26793-26819 (2018) - [c5]Adepu Ravi Sankar, Vineeth N. Balasubramanian
:
Are saddles good enough for neural networks. COMAD/CODS 2018: 37-45 - [c4]Vishwak Srinivasan, Adepu Ravi Sankar, Vineeth N. Balasubramanian
:
ADINE: an adaptive momentum method for stochastic gradient descent. COMAD/CODS 2018: 249-256 - [i3]Adepu Ravi Sankar, Vishwak Srinivasan, Vineeth N. Balasubramanian:
On the Analysis of Trajectories of Gradient Descent in the Optimization of Deep Neural Networks. CoRR abs/1807.08140 (2018) - 2017
- [i2]Adepu Ravi Sankar, Vineeth N. Balasubramanian:
Are Saddles Good Enough for Deep Learning? CoRR abs/1706.02052 (2017) - [i1]Vishwak Srinivasan, Adepu Ravi Sankar, Vineeth N. Balasubramanian:
ADINE: An Adaptive Momentum Method for Stochastic Gradient Descent. CoRR abs/1712.07424 (2017) - 2015
- [c3]Adepu Ravi Sankar, Vineeth N. Balasubramanian:
Similarity-based Contrastive Divergence Methods for Energy-based Deep Learning Models. ACML 2015: 391-406 - [c2]M. Sai Rajeswar, Adepu Ravi Sankar, Vineeth N. Balasubramanian
, C. D. Sudheer:
Scaling Up the Training of Deep CNNs for Human Action Recognition. IPDPS Workshops 2015: 1172-1177 - [c1]Shayok Chakraborty, Vineeth Nallure Balasubramanian
, Adepu Ravi Sankar, Sethuraman Panchanathan, Jieping Ye:
BatchRank: A Novel Batch Mode Active Learning Framework for Hierarchical Classification. KDD 2015: 99-108
2000 – 2009
- 2006
- [j1]S. Kal, Soumen K. Das
, D. K. Maurya, Kanishka Biswas, Adepu Ravi Sankar
, S. K. Lahiri:
CMOS compatible bulk micromachined silicon piezoresistive accelerometer with low off-axis sensitivity. Microelectron. J. 37(1): 22-30 (2006)
Coauthor Index
aka: Vineeth Nallure Balasubramanian
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last updated on 2024-06-03 00:59 CEST by the dblp team
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