Scholar
Piyush Rai
Google Scholar ID: D50grEgAAAAJ
IIT Kanpur
machine learning
probabilistic machine learning
artificial intelligence
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Citations & Impact
All-time
Citations
5,195
H-index
32
i10-index
66
Publications
20
Co-authors
44
list available
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Publications
2 items
Shortcut Invariance: Targeted Jacobian Regularization in Disentangled Latent Space
2025
Cited
0
NOVO: Unlearning-Compliant Vision Transformers
2025
Cited
0
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)
Co-authors
44 total
Hal Daumé III
Associate Professor of Computer Science, University of Maryland
Vinay Kumar Verma
@Amazon, Prev: IIT-Kanpur, Duke University NC, HCU
Lawrence Carin
Duke University
Pravendra Singh
Assistant Professor, IIT Roorkee
Abhishek Kumar
Google Brain
Vinay P. Namboodiri
Department of Computer Science, University of Bath
Co-author 7
Suresh Venkatasubramanian
Brown University
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