Piyush Rai
Scholar

Piyush Rai

Google Scholar ID: D50grEgAAAAJ
IIT Kanpur
machine learningprobabilistic machine learningartificial intelligence
Citations & Impact
All-time
Citations
5,195
 
H-index
32
 
i10-index
66
 
Publications
20
 
Co-authors
44
list available
Resume (English only)
Academic Achievements
  • Published papers at top venues including ICRA 2024, BMVC 2024, CVPR 2023, ECCV 2022, NeurIPS 2021, ICML 2021
  • Best Student Paper Award at ACII 2021 (led by student Gargi Singh)
  • Best Student Paper Award at CSSL@IJCAI 2021 (led by Ph.D. student Dhanajit Brahma)
  • Area Chair/Senior Area Chair for ICML, NeurIPS, ICLR, AAAI, IJCAI, ACML
  • Editorial board member for TMLR, IEEE-TPAMI, ACM-ToPML
  • Program Co-chair for Indian Workshop on Machine Learning (2018, 2016); Tutorial Co-chair for IKDD CODS-COMAD (2019)
Background
  • Professor in Computer Science & Engineering at Indian Institute of Technology, Kanpur
  • Research areas: machine learning and Bayesian statistics
  • Primary focus on probabilistic/generative modeling and understanding of massive and complex data
  • Designs probabilistic generative models and efficient inference algorithms to learn compact and interpretable latent structures
  • Works on machine learning models for resource-constrained settings (e.g., scarce data or limited compute/storage)