Karish Grover
I am a Ph.D. student in the Machine Learning Department at Carnegie Mellon University, advised by Prof. Christos Faloutsos and Prof. Geoffrey J. Gordon. My research interests lie in graph machine learning, representation learning, and explainable deep learning.
I have interned at Amazon Science (AWS), Microsoft Research and LinkedIn AI. Prior to joining CMU, I graduated from IIIT Delhi (in June 2023), with a Bachelor’s in Computer Science and Artifical Intelligence. At IIIT, I was a member of the Laboratory for Computational Social Systems (LCS2), where I worked on my undergraduate thesis, advised by Dr. Tanmoy Chakraborty. I am always looking forward to working on cool projects. Hit me up, if you wish to collaborate!
news
May 20, 2024 | Started my Applied Scientist internship at Amazon, Santa Clara, with Deep Graph Library team. |
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Feb 12, 2024 | Paper accepted at ACM TheWebConf (WWW) 2024 – Dependency Aware Incident Linking in Large Cloud Systems. |
Oct 27, 2023 | Conferred with the Best Undergrad Thesis Award (Gold Medal) at IIIT Delhi. |
Aug 15, 2023 | Started my Ph.D. at Carnegie Mellon University in the ML Department, advised by Prof. Christos Faloutsos and Prof. Geoffrey J. Gordon. |
selected publications
- Public Wisdom Matters! Discourse-Aware Hyperbolic Fourier Co-Attention for Social-Text ClassificationProceedings of the Thirty-Sixth Annual Conference on Neural Information Processing Systems Sep 2022
- Multi-Relational Graph Transformer for Automatic Short Answer GradingProceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies Jul 2022
- HAHA@ IberLEF2021: Humor Analysis using Ensembles of Simple Transformers.Iberian Languages Evaluation Forum Jul 2021