Scholar
Avinash Kori
Google Scholar ID: X6o3q0gAAAAJ
PhD Researcher, Imperial College London
Citations & Impact
Citations
5,479
H-index
14
i10-index
17
Publications
20
Co-authors
21
list available
Publications
Resume (English only)
Academic Achievements
- July 2022: Pushed three papers (Vector Quantization for Robust segmentation, GLANCE: Global to Local Architecture-Neutral Concept-based Explanations, and Hierarchical Symbolic Reasoning in Hyperbolic Space for Deep Discriminative Models) to arXiv.
- June 2022: Vector Quantization for Robust segmentation accepted at MICCAI2022.
- March 2022: Submitted a paper to MICCAI on model robustness and quantization.
- April 2021: Paper accepted in Scientific Reports.
- February 2021: Won the Overall Best Paper Award at an AAAI workshop.
Research Experience
- Former visiting student researcher at Stanford University and research intern at Siemens.
Education
- Completed undergraduate studies at Indian Institute of Technology, Madras, with a major in Biomedical Engineering Design and a minor in Machine Learning; currently a Ph.D. student at Imperial College London, supervised by Prof. Francesca Toni and Prof. Ben Glocker.
Background
- Ph.D. Student at Imperial College London, researching XAI and Causality. Currently working on explainability of CNN models from causal and logic perspectives.
Miscellany
- Writes blogs and paper reviews.
