Karish Grover

8013, Gates Hillman Center
Carnegie Mellon University
Pittsburgh, PA, 15217
Ph.D. MLD @ CMU | karishg@cs.cmu.edu
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.
Previously, 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!
Research Interests
- Geometric Deep Learning
- Graph Machine Learning
- Non-Euclidean (Riemannian) ML
- Foundational Representation Learning
- Natural Language Processing
News
Feb 23, 2025 | Paper accepted at ICLR 2025 – Spectro-Riemannian Graph Neural Networks. Work done during internship at Amazon. |
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May 20, 2024 | Started my Applied Scientist internship at Amazon, Santa Clara, with Deep Graph Library team. |
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. |
Selected Publications
- NeurIPSPublic 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
- NAACLMulti-Relational Graph Transformer for Automatic Short Answer GradingConference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies Jul 2022