Too much of product information : Don't worry, let's look for evidence! - Aryan Jain; Jitenkumar Rana; Chetan Aggarwal (EMNLP (Industry Track), 2023)

Analysis and Review of Image Super Resolution for Low Light Enhancement. - Bhuvan Sachdeva; Aryan Jain; Anil Singh Parihar (ICCCNT, 2023)

Train Offline, Test Online: A Real Robot Learning Benchmark. - Gaoyue Zhou; Victoria Dean; Mohan Kumar Srirama; Aravind Rajeswaran; Jyothish Pari; Kyle Hatch; Aryan Jain; Tianhe Yu; Pieter Abbeel; Lerrel Pinto; Chelsea Finn; Abhinav Gupta 001 (ICRA, 2023)

Where are we in the search for an Artificial Visual Cortex for Embodied Intelligence? - Arjun Majumdar; Karmesh Yadav; Sergio Arnaud; Yecheng Jason Ma; Claire Chen; Sneha Silwal; Aryan Jain; Vincent-Pierre Berges; Tingfan Wu; Jay Vakil; Pieter Abbeel; Jitendra Malik; et al. (NeurIPS, 2023)

Where are we in the search for an Artificial Visual Cortex for Embodied Intelligence? - Arjun Majumdar; Karmesh Yadav; Sergio Arnaud; Yecheng Jason Ma; Claire Chen; Sneha Silwal; Aryan Jain; Vincent-Pierre Berges; Pieter Abbeel; Jitendra Malik; Dhruv Batra; Yixin Lin; et al. (CoRR, 2023)

Exploring New Convolutional Neural Network Architectures for Satellite Image Categorization: A Comparative Study. - Aryan Jain; Debjani Ghosh; Prashant Kumar; Vimal Kumar 002 (ANTS, 2024)

Using Transfer Learning to Refine Object Detection Models for Blind and Low Vision Users. - Aradhita Bhandari; Gail S. Batutis; Aryan Jain; Mallory C. Sico; Giles Hamilton-Fletcher; Chen Feng 002; Todd E. Hudson; John-Ross Rizzo; Kevin C. Chan (EMBC, 2024)