Adepu Ravi Sankar

According to our database, Adepu Ravi Sankar authored at least 16 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Development of an Electrochemical Dopamine Sensor Using Nitrogen-Rich Sulfur Dual-Doped Reduced Graphene Oxide.

J. Lavanya, M. Aakash, Adepu Ravi Sankar, N. Gomathi

IEEE Access, 2024

2021

A Deeper Look at the Hessian Eigenspectrum of Deep Neural Networks and its Applications to Regularization.

Adepu Ravi Sankar, Yash Khasbage, Rahul Vigneswaran, Vineeth N. Balasubramanian

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

DANTE: Deep alternations for training neural networks.

Vaibhav B. Sinha, Sneha Kudugunta, Adepu Ravi Sankar, Surya Teja Chavali, Vineeth N. Balasubramanian

Neural Networks, 2020

Computation-efficient image watermarking architecture with improved performance.

S. M. Sakthivel, Adepu Ravi Sankar

Comput. Electr. Eng., 2020

A Microcontroller-based Electrochemical Discharge Machining (ECDM) Equipment for Micro-drilling of Quartz Substrates.

S. Saranya, Adepu Ravi Sankar

Proceedings of the IEEE International Symposium on Smart Electronic Systems, 2020

2019

DANTE: Deep AlterNations for Training nEural networks.

Sneha Kudugunta, Vaibhav B. Sinha, Adepu Ravi Sankar, Surya Teja Chavali, Purushottam Kar, Vineeth N. Balasubramanian

CoRR, 2019

2018

An ASIC based invisible watermarking of grayscale images using pixel value search algorithm (PVSA).

S. M. Sakthivel, Adepu Ravi Sankar

Multim. Tools Appl., 2018

On the Analysis of Trajectories of Gradient Descent in the Optimization of Deep Neural Networks.

Adepu Ravi Sankar, Vishwak Srinivasan, Vineeth N. Balasubramanian

CoRR, 2018

<i>ADINE</i>: an adaptive momentum method for stochastic gradient descent.

Vishwak Srinivasan, Adepu Ravi Sankar, Vineeth N. Balasubramanian

Proceedings of the ACM India Joint International Conference on Data Science and Management of Data, 2018

Are saddles good enough for neural networks.

Adepu Ravi Sankar, Vineeth N. Balasubramanian

Proceedings of the ACM India Joint International Conference on Data Science and Management of Data, 2018

2017

ADINE: An Adaptive Momentum Method for Stochastic Gradient Descent.

Vishwak Srinivasan, Adepu Ravi Sankar, Vineeth N. Balasubramanian

CoRR, 2017

Are Saddles Good Enough for Deep Learning?

Adepu Ravi Sankar, Vineeth N. Balasubramanian

CoRR, 2017

2015

BatchRank: A Novel Batch Mode Active Learning Framework for Hierarchical Classification.

Shayok Chakraborty, Vineeth Nallure Balasubramanian, Adepu Ravi Sankar, Sethuraman Panchanathan, Jieping Ye

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Scaling Up the Training of Deep CNNs for Human Action Recognition.

M. Sai Rajeswar, Adepu Ravi Sankar, Vineeth N. Balasubramanian, C. D. Sudheer

Proceedings of the 2015 IEEE International Parallel and Distributed Processing Symposium Workshop, 2015

Similarity-based Contrastive Divergence Methods for Energy-based Deep Learning Models.

Adepu Ravi Sankar, Vineeth N. Balasubramanian

Proceedings of The 7th Asian Conference on Machine Learning, 2015

2006

CMOS compatible bulk micromachined silicon piezoresistive accelerometer with low off-axis sensitivity.

S. Kal, Soumen K. Das, D. K. Maurya, Kanishka Biswas, Adepu Ravi Sankar, S. K. Lahiri

Microelectron. J., 2006