Karish Grover


I am a first year 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.

Prior to joining CMU, I graduated from IIIT Delhi (in June 2023), with a Bachelor’s in Computer Science and Artifical Intelligence. During my undergrad, I interned at Microsoft Research and LinkedIn. 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!


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.
Jul 1, 2023 Finished my (6 months long!) research internship at Microsoft Research.
Oct 28, 2022 Awarded the Microsoft Research Travel Grant for attending the NeurIPS 2022 conference at New Orleans, LA.
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selected publications

  1. Public Wisdom Matters! Discourse-Aware Hyperbolic Fourier Co-Attention for Social-Text Classification
    Karish GroverPhaneendra Angara, Md. Shad Akhtar, and Tanmoy Chakraborty
    Proceedings of the Thirty-Sixth Annual Conference on Neural Information Processing Systems Sep 2022
  2. Multi-Relational Graph Transformer for Automatic Short Answer Grading
    Rajat Agarwal, Varun Khurana, Karish GroverMukesh Mohania, and 1 more author
    Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies Jul 2022
  3. HAHA@ IberLEF2021: Humor Analysis using Ensembles of Simple Transformers.
    Karish Grover, and Tanishq Goel
    Iberian Languages Evaluation Forum Jul 2021