Krishna Sri Ipsit Mantri
Scholar

Krishna Sri Ipsit Mantri

Google Scholar ID: mcCbkLYAAAAJ
University of Bonn
Generative ModelingMachine LearningDeep LearningDiscrete Optimization
Citations & Impact
All-time
Citations
44
 
H-index
4
 
i10-index
0
 
Publications
14
 
Co-authors
3
list available
Resume (English only)
Academic Achievements
  • - Paper 'DiTASK: Multi-Task Fine-Tuning with Diffeomorphic Transformations' accepted to CVPR 2025
  • - Paper 'DiGRAF: Diffeomorphic Graph-Adaptive Activation Function' accepted to NeurIPS 2024
  • - Paper 'Rethinking Fine-tuning Through Geometric Perspective' accepted to NeurIPS 2024 UniReps Workshop
  • - Paper accepted to ICML 2023 Workshop on Generative AI and Law (Genlaw’23)
  • - Multiple papers accepted at CVPR 2023 Workshops
  • - Poster 'Gastrointestinal Disease Detection using Transformer-Based Image Segmentation' accepted for MIT-MGB AI Cures Conference 2023
  • - First publication at WSDM 2023
Research Experience
  • - Doctoral Researcher in Prof. Zorah Lähner's Geometry in ML group
  • - Research Intern at Ben-Gurion University of the Negev, Advisor: Prof. Chaim Baskin (June 2025)
  • - Research Intern at Sony AI, Tokyo (Summer 2024)
  • - Research Intern at Texas Instruments (July 2022)
  • - Worked on temporal graph learning at INSIGHT Lab
Education
  • - PhD: University of Bonn & Lamarr Institute, Advisor: Prof. Zorah Lähner (2025-present)
  • - MS: Purdue University, Department of Computer Science, Advisor: Prof. Bruno Ribeiro (2023-2025)
  • - BS: IIT Bombay, Electrical Engineering (2018-2022)
Background
  • Research interests include graph representation learning and analysis of latent spaces. Completed an MS degree from Purdue Computer Science, where he did his thesis with Prof. Bruno Ribeiro.
Miscellany
  • Enjoys hiking, hiked Mount Fuji in Japan.