| Hanf: Hyperparameter and neural architecture search in federated learning J Seng, P Prasad, DS Dhami, K Kersting arXiv preprint, 2022 | 8 | 2022 |
| Tearing Apart NOTEARS: Controlling the Graph Prediction via Variance Manipulation J Seng, M Zečević, DS Dhami, K Kersting arXiv preprint arXiv:2206.07195, 2022 | 2 | 2022 |
| FEATHERS: Federated Architecture and Hyperparameter Search J Seng, P Prasad, M Mundt, DS Dhami, K Kersting arXiv preprint arXiv:2206.12342, 2022 | 1 | 2022 |
| Learning Large DAGs is Harder than you Think: Many Losses are Minimal for the Wrong DAG J Seng, M Zečević, DS Dhami, K Kersting The Twelfth International Conference on Learning Representations, 2023 | | 2023 |
| Causal Concept Identification in Open World Environments M Willig, M Zečević, J Seng, FP Busch AAAI Bridge Program on Continual Causality, 52-58, 2023 | | 2023 |
| Treatment Effect Estimation to Guide Model Optimization in Continual Learning J Seng, FP Busch, M Zečević, M Willig AAAI Bridge Program on Continual Causality, 38-44, 2023 | | 2023 |
| Continual Causal Abstractions M Zečević, M Willig, FP Busch, J Seng AAAI Bridge Program on Continual Causality, 45-51, 2023 | | 2023 |
| Continually Updating Neural Causal Models FP Busch, J Seng, M Willig, M Zečević AAAI Bridge Program on Continual Causality, 30-37, 2023 | | 2023 |
