![]() | Hermans, J., Delaunoy, A., Rozet, F., Wehenkel, A., & Louppe, G. (2022). A Crisis In Simulation-Based Inference? Beware, Your Posterior Approximations Can Be Unfaithful. Transactions on Machine Learning Research. Peer Reviewed verified by ORBi |
![]() | Falkiewicz, M., Takeishi, N., Shekhzadeh, I., Wehenkel, A., Delaunoy, A., Louppe, G., & Kalousis, A. (2023). Calibrating Neural Simulation-Based Inference with Differentiable Coverage Probability. Advances in Neural Information Processing Systems. doi:10.48550/arXiv.2310.13402 Peer Reviewed verified by ORBi |
![]() | Delaunoy, A.* , Hermans, J.* , Rozet, F., Wehenkel, A., & Louppe, G. (December 2022). Towards Reliable Simulation-Based Inference with Balanced Neural Ratio Estimation. Advances in Neural Information Processing Systems, 35. Peer Reviewed verified by ORBi* These authors have contributed equally to this work. |
![]() | Delaunoy, A., Kurt Miller, B., Forré, P., Weniger, C., & Louppe, G. (21 April 2023). Balancing Simulation-based Inference for Conservative Posteriors [Paper presentation]. 5th Symposium on Advances in Approximate Bayesian Inference, Honolulu, United States. Peer reviewed |
![]() | Delaunoy, A.* , de la Brassinne Bonardeaux, M.* , Mishra-Sharma, S., & Louppe, G. (2024). Low-Budget Simulation-Based Inference with Bayesian Neural Networks. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/323150. * These authors have contributed equally to this work. |