I am currently working as a Research Engineer at Google DeepMind. Before this, I was at Google Research working with Dr. Aravindan Raghuveer and Dr. Pradeep Shenoy on deep learning privacy, robustness and interpretablity.

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

Generalization and Learnability in Multiple Instance Regression
Kushal Chauhan, Rishi Saket, Lorne Applebaum, Ashwinkumar Badanidiyuru, Chandan Giri, Aravindan Raghuveer
UAI 2024 | The 40th Conference on Uncertainty in Artificial Intelligence
pdf | abstract | code | bibtex

Shaken, and Stirred: Long-Range Dependencies Enable Robust Outlier Detection with PixelCNN++
Barath Mohan U, Kushal Chauhan, 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
Kushal Chauhan, 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
Kushal Chauhan, 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
Kushal Chauhan, 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
Kushal Chauhan, Abhirut Gupta
ACL 2020 | The 58th Annual Meeting of the Association for Computational Linguistics
pdf | abstract | video | data | bibtex

Google DeepMind
May 2024 - Present
Google Research
Aug 2020 - May 2024
Sharechat
Jan 2020 - Aug 2020
IBM Research
May 2019 - Dec 2019
ABV-IIITM, Gwalior
June 2015 - June 2020