| DiBS: Differentiable Bayesian Structure Learning L Lorch, J Rothfuss, B Schölkopf, A Krause Advances in Neural Information Processing Systems 34, 2021 | 100 | 2021 |
| Quantifying the Effects of Contact Tracing, Testing, and Containment Measures in the Presence of Infection Hotspots L Lorch, H Kremer, W Trouleau, S Tsirtsis, A Szanto, B Schölkopf, ... ACM Transactions on Spatial Algorithms and Systems 8 (4), 1-28, 2022 | 94* | 2022 |
| Amortized Inference for Causal Structure Learning L Lorch, S Sussex, J Rothfuss, A Krause, B Schölkopf Advances in Neural Information Processing Systems 35, 2022 | 65 | 2022 |
| Active Bayesian Causal Inference C Toth, L Lorch, C Knoll, A Krause, F Pernkopf, R Peharz, J von Kügelgen Advances in Neural Information Processing Systems 35, 2022 | 37 | 2022 |
| BaCaDI: Bayesian Causal Discovery with Unknown Interventions A Hägele, J Rothfuss, L Lorch, VR Somnath, B Schölkopf, A Krause 26th International Conference on Artificial Intelligence and Statistics 206 …, 2023 | 23 | 2023 |
| Output-Constrained Bayesian Neural Networks W Yang*, L Lorch*, MA Graule*, S Srinivasan, A Suresh, J Yao, ... ICML 2019 Workshops on Uncertainty and Robustness in Deep Learning and on …, 2019 | 23 | 2019 |
| Incorporating Interpretable Output Constraints in Bayesian Neural Networks W Yang, L Lorch, MA Graule, H Lakkaraju, F Doshi-Velez Advances in Neural Information Processing Systems 33, 2020 | 20 | 2020 |
| Stochastic Optimal Control of Epidemic Processes in Networks L Lorch, A De, S Bhatt, W Trouleau, U Upadhyay, M Gomez-Rodriguez NeurIPS 2018 Workshop on Machine Learning for Health, 2018 | 18 | 2018 |
| Listening to Bluetooth beacons for epidemic risk mitigation G Barthe, R De Viti, P Druschel, D Garg, MG Rodriguez, P Ingo, H Kremer, ... Scientific reports 12 (1), 1-14, 2022 | 16 | 2022 |
| Causal Modeling with Stationary Diffusions L Lorch, A Krause, B Schölkopf 27th International Conference on Artificial Intelligence and Statistics 238 …, 2024 | 9 | 2024 |
| Standardizing Structural Causal Models W Ormaniec*, S Sussex*, L Lorch*, B Schölkopf, A Krause arXiv preprint arXiv:2406.11601, 2024 | 5 | 2024 |
| Pooled testing of traced contacts under superspreading dynamics S Tsirtsis, A De, L Lorch, M Gomez-Rodriguez PLOS Computational Biology 18 (3), e1010008, 2022 | 3 | 2022 |
| Generative Intervention Models for Causal Perturbation Modeling N Schneider, L Lorch, N Kilbertus, B Schölkopf, A Krause arXiv preprint arXiv:2411.14003, 2024 | | 2024 |
Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems & ELLIS Institute Tübingen; Professor at ETHOverená e-mailová adresa na: tuebingen.mpg.de