Zero-Shot Multilingual Sentiment Analysis using Hierarchical Attentive Network and BERT. - Anindya Sarkar; Sujeeth Reddy; Raghu Sesha Iyengar (NLPIR, 2019)

MSG-GAN: Multi-Scale Gradient GAN for Stable Image Synthesis. - Animesh Karnewar; Oliver Wang; Raghu Sesha Iyengar (CoRR, 2019)

Enforcing Linearity in DNN succours Robustness and Adversarial Image Generation. - Anindya Sarkar; Nikhil Kumar Gupta; Raghu Sesha Iyengar (CoRR, 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; Raghu Sesha Iyengar (ICANN (1), 2020)

Neural Data Augmentation Techniques for Time Series Data and its Benefits. - Anindya Sarkar; Anirudh Sunder Raj; Raghu Sesha Iyengar (ICMLA, 2020)

MPI Parallelization of NEUROiD Models Using Docker Swarm. - Raghu Sesha Iyengar; Mohan Raghavan (ICPADS, 2020)

Tool for image annotation based on gaze. - Mallampalli Kapardi; Satya Patel; Raghu Sesha Iyengar; Kousik Sarathy Sridharan; Mohan Raghavan (SPCOM, 2020)

Deep Knowledge Distillation using Trainable Dense Attention. - Bharat Bhusan Sau; Soumya Roy; Vinay P. Namboodiri; Raghu Sesha Iyengar (BMVC, 2021)

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)

A platform to ease dApp development and adoption. - Naveen Sharma; Bijay Singh; Abhijeet Zilpelwar; Ankush Tiwari; Raghu Sesha Iyengar (BRAINS, 2024)