Praharsh Nanavati is a PhD student working on causality. He is a member of the Research Training Group on Neuro-Explicit Models.
Praharsh worked as a Predoctoral Researcher in Causal Fairness at the CSA Department at the Indian Institute of Science. Previously, he received a BS-MS degree in Data Science and Engineering from IISER Bhopal, India in 2024, where he worked on causal representation learning with minimal DAG knowledge as part of his Master's thesis.
2026 | |
Identifying Structural Biases from Causal Mechanism Shifts. In: Proceedings of Neural Information Processing Systems (NeurIPS), PMRL, 2026. (27.6% acceptance rate) |
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Identifying Structural Biases from Causal Mechanism Shifts. Technical Report 2606.18834, arXiv, 2026. |
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