Causal machine learning: A survey and open problems J Kaddour, A Lynch, Q Liu, MJ Kusner, R Silva arXiv preprint arXiv:2206.15475, 2022 | 112 | 2022 |
Towards automated circuit discovery for mechanistic interpretability A Conmy, A Mavor-Parker, A Lynch, S Heimersheim, A Garriga-Alonso Advances in Neural Information Processing Systems 36, 16318-16352, 2023 | 98 | 2023 |
Spawrious: A benchmark for fine control of spurious correlation biases A Lynch, GJS Dovonon, J Kaddour, R Silva arXiv preprint arXiv:2303.05470, 2023 | 16 | 2023 |
Eight methods to evaluate robust unlearning in llms A Lynch, P Guo, A Ewart, S Casper, D Hadfield-Menell arXiv preprint arXiv:2402.16835, 2024 | 12 | 2024 |
Causal machine learning: A survey and open problems. arXiv 2022 J Kaddour, A Lynch, Q Liu, MJ Kusner, R Silva arXiv preprint arXiv:2206.15475, 2022 | 6 | 2022 |
Evaluating the impact of geometric and statistical skews on out-of-distribution generalization performance A Lynch, J Kaddour, R Silva NeurIPS 2022 Workshop on Distribution Shifts: Connecting Methods and …, 2022 | 5 | 2022 |