Adepu Ravi Sankar

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 13

Top Topics

Hierarchical Classification

Grayscale Images

Active Learning Framework

Top Venues

Comput. Electr. Eng.

Publications

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 (2024)
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)
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 (2020)
Vaibhav B. Sinha, Sneha Kudugunta, Adepu Ravi Sankar, Surya Teja Chavali, Vineeth N. Balasubramanian
DANTE: Deep alternations for training neural networks. Neural Networks 131 (2020)
S. M. Sakthivel, Adepu Ravi Sankar
Computation-efficient image watermarking architecture with improved performance. Comput. Electr. Eng. 84 (2020)
S. Saranya, Adepu Ravi Sankar
A Microcontroller-based Electrochemical Discharge Machining (ECDM) Equipment for Micro-drilling of Quartz Substrates. iSES (2020)
Sneha Kudugunta, Vaibhav B. Sinha, Adepu Ravi Sankar, Surya Teja Chavali, Purushottam Kar, Vineeth N. Balasubramanian
DANTE: Deep AlterNations for Training nEural networks. CoRR (2019)
Adepu Ravi Sankar, Vishwak Srinivasan, Vineeth N. Balasubramanian
On the Analysis of Trajectories of Gradient Descent in the Optimization of Deep Neural Networks. CoRR (2018)
Vishwak Srinivasan, Adepu Ravi Sankar, Vineeth N. Balasubramanian
: an adaptive momentum method for stochastic gradient descent. COMAD/CODS (2018)
Adepu Ravi Sankar, Vineeth N. Balasubramanian
Are saddles good enough for neural networks. COMAD/CODS (2018)
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) (2018)
Adepu Ravi Sankar, Vineeth N. Balasubramanian
Are Saddles Good Enough for Deep Learning? CoRR (2017)
Vishwak Srinivasan, Adepu Ravi Sankar, Vineeth N. Balasubramanian
ADINE: An Adaptive Momentum Method for Stochastic Gradient Descent. CoRR (2017)
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)
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)
Adepu Ravi Sankar, Vineeth N. Balasubramanian
Similarity-based Contrastive Divergence Methods for Energy-based Deep Learning Models. ACML (2015)
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) (2006)