| Origo: causal inference by compression K Budhathoki, J Vreeken Knowledge and Information Systems 56 (2), 285-307, 2018 | 79* | 2018 |
| Causal structure-based root cause analysis of outliers K Budhathoki, L Minorics, P Blöbaum, D Janzing International Conference on Machine Learning, 2357-2369, 2022 | 69* | 2022 |
| DoWhy-GCM: An extension of DoWhy for causal inference in graphical causal models P Blöbaum, P Götz, K Budhathoki, AA Mastakouri, D Janzing Journal of Machine Learning Research 25 (147), 1-7, 2024 | 56 | 2024 |
| MDL for causal inference on discrete data K Budhathoki, J Vreeken 2017 IEEE International Conference on Data Mining (ICDM), 751-756, 2017 | 53* | 2017 |
| Why did the distribution change? K Budhathoki, D Janzing, P Bloebaum, H Ng International Conference on Artificial Intelligence and Statistics, 1666-1674, 2021 | 50 | 2021 |
| The difference and the norm—characterising similarities and differences between databases K Budhathoki, J Vreeken Machine Learning and Knowledge Discovery in Databases: European Conference …, 2015 | 21 | 2015 |
| Causal inference on event sequences K Budhathoki, J Vreeken Proceedings of the 2018 SIAM International Conference on Data Mining, 55-63, 2018 | 20 | 2018 |
| Discovering reliable causal rules K Budhathoki, M Boley, J Vreeken Proceedings of the 2021 SIAM International Conference on Data Mining (SDM), 1-9, 2021 | 19* | 2021 |
| Quantifying intrinsic causal contributions via structure preserving interventions D Janzing, P Blöbaum, AA Mastakouri, PM Faller, L Minorics, ... International Conference on Artificial Intelligence and Statistics, 2188-2196, 2024 | 10 | 2024 |
| Ranking the teams in European football leagues with agony S Neumann, J Ritter, K Budhathoki Machine Learning and Data Mining for Sports Analytics: 5th International …, 2019 | 9 | 2019 |
| Evaluating the Fairness of Discriminative Foundation Models in Computer Vision J Ali, M Kleindessner, F Wenzel, K Budhathoki, V Cevher, C Russell Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 809-833, 2023 | 6 | 2023 |
| Meaningful causal aggregation and paradoxical confounding Y Zhu, K Budhathoki, JM Kübler, D Janzing Causal Learning and Reasoning, 1192-1217, 2024 | 4 | 2024 |
| Inference Optimization of Foundation Models on AI Accelerators Y Park, K Budhathoki, L Chen, JM Kübler, J Huang, M Kleindessner, ... Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | 2 | 2024 |
| Explaining the root causes of unit-level changes K Budhathoki, G Michailidis, D Janzing arXiv preprint arXiv:2206.12986, 2022 | 2 | 2022 |
| A Proximal Operator for Inducing 2: 4-Sparsity JM Kübler, YX Wang, S Sabach, N Ansari, M Kleindessner, K Budhathoki, ... arXiv preprint arXiv:2501.18015, 2025 | | 2025 |
| LLM-Rank: A Graph Theoretical Approach to Pruning Large Language Models D Hoffmann, K Budhathoki, M Kleindessner arXiv preprint arXiv:2410.13299, 2024 | | 2024 |