In the past, I've spent two wonderful summers with Abhirut Gupta at IBM Research India and Debdoot Mukherjee at ShareChat working on NLP and creative text generation. I've also worked on multimodal representation learning for my Masters thesis, advised by Dr. Pramod Singh and Atri Mandal at IBM Research India.
I graduated with a B.Tech and M.Tech in Information Technology from ABV-IIITM, Gwalior, India in 2020.
For more details, check out my CV or hit me up on my email.
Publications
Shaken, and Stirred: Long-Range Dependencies Enable Robust Outlier Detection with PixelCNN++
Barath Mohan U, , Pradeep Shenoy, Devarajan Sridharan
IJCAI 2023 |
The 32nd International Joint Conference on Artificial Intelligence
pdf
abstract
bibtex
Matching options to tasks using Option-Indexed Hierarchical
Reinforcement Learning
, Soumya Chatterjee, Akash Reddy, Aniruddha S, Pradeep Shenoy, Balaraman
Ravindran
AAMAS 2023 |
The 22nd International Conference on Autonomous Agents and Multiagent Systems
pdf
abstract
bibtex
Previouly appeared
at
NeurIPS 2021 Workshop on Ecological Theory of Reinforcement Learning
pdf
poster
Interactive Concept Bottleneck Models
, Rishabh Tiwari, Jan Freyberg, Pradeep Shenoy,
Krishnamurthy Dvijotham
AAAI
2023 |
The 37th AAAI Conference on Artificial Intelligence
pdf
abstract
code
bibtex
Previouly appeared
at NeurIPS 2022 Workshop on
Human in the Loop Learning
pdf
poster
Robust outlier detection by de-biasing VAE likelihoods
, Barath Mohan U, Pradeep Shenoy, Manish Gupta,
Devarajan Sridharan
CVPR 2022 |
The IEEE/CVF Conference on Computer Vision and Pattern Recognition
pdf
abstract
code
bibtex
Previouly appeared
at NeurIPS 2021 Workshop on
Bayesian Deep Learning
pdf
poster
Improving Segmentation for Technical Support Problems
, Abhirut Gupta
ACL 2020 | The 58th
Annual Meeting of the Association for
Computational Linguistics
pdf
abstract
video
data
bibtex
