Publications

preprint Narendra, T., Visonà, G., de Jesus Cardona, C., Abbott, J. and Schweikert, G., 2025. Towards Personalized Epigenomics: Learning Shared Chromatin Landscapes and Joint De-Noising of Histone Modification Assays. bioRxiv, pp.2025-03.

paper Balsells-Rodas, C., Sumba, X., Narendra, T., Tu, R., Schweikert, G., Kjellstrom, H. and Li, Y., 2021. Causal Discovery from Conditionally Stationary Time Series. International Conference on Machine Learning (ICML) 2025.

paper Hawkins-Hooker, A., Visonà, G., Narendra, T., Rojas-Carulla, M., Schölkopf, B. and Schweikert, G., 2023. Getting personal with epigenetics: towards individual-specific epigenomic imputation with machine learning. Nature Communications, 14(1), p.4750.

preprint Narendra, T., Visonà, G., Cardona, C. D. J., & Schweikert, G. (2022). Multi-histone ChIP-Seq Analysis with DecoDen. bioRxiv, 2022-10.

paper Narendra, T., Agarwal, P., Gupta, M., & Dechu, S. (2019, September). Counterfactual Reasoning for Process Optimization Using Structural Causal Models. In International Conference on Business Process Management (pp. 91-106). Springer, Cham.

preprint Narendra, T., Sankaran, A., Vijaykeerthy, D., & Mani, S. (2018). Explaining deep learning models using causal inference. arXiv preprint arXiv:1811.04376.

Patents

Narendra, T., Tater, T., Tamilselvam, S. G., & Mani, S. K. K. (2021). Online forum automated feedback generator, U.S. Patent No. 10,938,752. Washington, DC: U.S. Patent and Trademark Office.

In the News

This is an article I wrote in 2014 about the relationship between education and social awareness.