Ravindran, Balaraman

Towards Transparent and Explainable Attention Models

Mohankumar, A. K., Nema, P., Narasimhan, S., Khapra, M. M., Srinivasan, B. V., & Ravindran, B. (2020) · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics

Explainable Artificial Intelligence (XAI)Topic Modeling

Cited by 91

Efficient computation of the shapley value for centrality in networks

Aadithya, K. V., Ravindran, B., Michalak, T. P., & Jennings, N. R. (2010) · Lecture Notes in Computer Science

Game Theory and Voting SystemsComplex Network Analysis Techniques

Cited by 59

Multi-Variate Time Series Forecasting on Variable Subsets

Chauhan, J., Raghuveer, A., Saket, R., Nandy, J., & Ravindran, B. (2022) · Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

Time Series Analysis and ForecastingForecasting Techniques and Applications

Cited by 21

International AI Safety Report

Bengio, Y., Mindermann, S., Privitera, D., Besiroglu, T., Bommasani, R., Casper, S., Choi, Y., Fox, P., Garfinkel, B., Goldfarb, D., et al. (2025) · arXiv

Ethics and Social Impacts of AISafety Systems Engineering in Autonomy

Cited by 16

Lext: Towards evaluating trustworthiness of natural language explanations

Shailya, K., Rajpal, S., Krishnan, G. S., & Ravindran, B. (2025) · Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency

Explainable Artificial Intelligence (XAI)Topic Modeling

Cited by 5