Raghu Sesha Iyengar

According to our database, Raghu Sesha Iyengar authored at least 11 papers between 2019 and 2024.

Collaborative distances:

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

2024

A platform to ease dApp development and adoption.

Naveen Sharma, Bijay Singh, Abhijeet Zilpelwar, Ankush Tiwari, Raghu Sesha Iyengar

Proceedings of the 6th Conference on Blockchain Research & Applications for Innovative Networks and Services , 2024

2022

In-silico neuro musculoskeletal model reproduces the movement types obtained by spinal micro stimulation.

Mallampalli Kapardi, Madhav Vinodh Pithapuram, Yashaswini Mandayam Rangayyan, Raghu Sesha Iyengar, Avinash Kumar Singh, Sirisha Sripada, Mohan Raghavan

Comput. Methods Programs Biomed., 2022

2021

Deep Knowledge Distillation using Trainable Dense Attention.

Bharat Bhusan Sau, Soumya Roy, Vinay P. Namboodiri, Raghu Sesha Iyengar

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

Tool for image annotation based on gaze.

Mallampalli Kapardi, Satya Patel, Raghu Sesha Iyengar, Kousik Sarathy Sridharan, Mohan Raghavan

Proceedings of the International Conference on Signal Processing and Communications, 2020

MPI Parallelization of NEUROiD Models Using Docker Swarm.

Raghu Sesha Iyengar, Mohan Raghavan

Proceedings of the 26th IEEE International Conference on Parallel and Distributed Systems, 2020

Neural Data Augmentation Techniques for Time Series Data and its Benefits.

Anindya Sarkar, Anirudh Sunder Raj, Raghu Sesha Iyengar

Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

Enforcing Linearity in DNN Succours Robustness and Adversarial Image Generation.

Anindya Sarkar, Raghu Sesha Iyengar

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020

2019

Curated Model Development Using NEUROiD: A Web-Based NEUROmotor Integration and Design Platform.

Raghu Sesha Iyengar, Madhav Vinodh Pithapuram, Avinash Kumar Singh, Mohan Raghavan

Frontiers Neuroinformatics, 2019

Enforcing Linearity in DNN succours Robustness and Adversarial Image Generation.

Anindya Sarkar, Nikhil Kumar Gupta, Raghu Sesha Iyengar

CoRR, 2019

MSG-GAN: Multi-Scale Gradient GAN for Stable Image Synthesis.

Animesh Karnewar, Oliver Wang, Raghu Sesha Iyengar

CoRR, 2019

Zero-Shot Multilingual Sentiment Analysis using Hierarchical Attentive Network and BERT.

Anindya Sarkar, Sujeeth Reddy, Raghu Sesha Iyengar

Proceedings of the NLPIR 2019: The 3rd International Conference on Natural Language Processing and Information Retrieval, Tokushima, Japan, June 28, 2019