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Raghu Sesha Iyengar
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2020 – today
- 2022
- [j2]Mallampalli Kapardi
, Madhav Vinodh Pithapuram
, Yashaswini Mandayam Rangayyan
, Raghu Sesha Iyengar
, Avinash Kumar Singh
, Sirisha Sripada
, Mohan Raghavan
:
In-silico neuro musculoskeletal model reproduces the movement types obtained by spinal micro stimulation. Comput. Methods Programs Biomed. 220: 106804 (2022) - 2021
- [c6]Bharat Bhusan Sau, Soumya Roy, Vinay P. Namboodiri, Raghu Sesha Iyengar:
Deep Knowledge Distillation using Trainable Dense Attention. BMVC 2021: 72 - 2020
- [c5]Anindya Sarkar, Raghu Sesha Iyengar:
Enforcing Linearity in DNN Succours Robustness and Adversarial Image Generation. ICANN (1) 2020: 52-64 - [c4]Anindya Sarkar, Anirudh Sunder Raj, Raghu Sesha Iyengar:
Neural Data Augmentation Techniques for Time Series Data and its Benefits. ICMLA 2020: 107-114 - [c3]Raghu Sesha Iyengar, Mohan Raghavan:
MPI Parallelization of NEUROiD Models Using Docker Swarm. ICPADS 2020: 655-660 - [c2]Mallampalli Kapardi
, Satya Patel, Raghu Sesha Iyengar, Kousik Sarathy Sridharan
, Mohan Raghavan
:
Tool for image annotation based on gaze. SPCOM 2020: 1-5
2010 – 2019
- 2019
- [j1]Raghu Sesha Iyengar, Madhav Vinodh Pithapuram
, Avinash Kumar Singh
, Mohan Raghavan
:
Curated Model Development Using NEUROiD: A Web-Based NEUROmotor Integration and Design Platform. Frontiers Neuroinformatics 13: 56 (2019) - [c1]Anindya Sarkar, Sujeeth Reddy, Raghu Sesha Iyengar:
Zero-Shot Multilingual Sentiment Analysis using Hierarchical Attentive Network and BERT. NLPIR 2019: 49-56 - [i2]Animesh Karnewar, Oliver Wang, Raghu Sesha Iyengar:
MSG-GAN: Multi-Scale Gradient GAN for Stable Image Synthesis. CoRR abs/1903.06048 (2019) - [i1]Anindya Sarkar, Nikhil Kumar Gupta, Raghu Sesha Iyengar:
Enforcing Linearity in DNN succours Robustness and Adversarial Image Generation. CoRR abs/1910.08108 (2019)
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