| Learning Robust Statistics for Simulation-based Inference under Model Misspecification D Huang, A Bharti, A Souza, L Acerbi, S Kaski Advances in neural information processing systems (NeurIPS), 2023 | 18 | 2023 |
| Sequential Convolution and Runge-Kutta Residual Architecture for Image Compressed Sensing R Zheng, Y Zhang, D Huang, Q Chen European Conference on Computer Vision (ECCV), 2020 | 7 | 2020 |
| SSELDnet: A Fully End-to-End Sample-Level Framework for Sound Event Localization and Detection D Huang, RF Perez Detection and Classification of Acoustic Scenes and Events (DCASE), 2021 | 6 | 2021 |
| Bayesian Optimization Augmented with Actively Elicited Expert Knowledge D Huang, L Filstroff, P Mikkola, R Zheng, S Kaski arXiv preprint arXiv: 2208.08742, 2022 | 5 | 2022 |
| Practical Equivariances via Relational Conditional Neural Processes D Huang, M Haussmann, U Remes, ST John, G Clarté, KS Luck, S Kaski, ... Advances in neural information processing systems (NeurIPS), 2023 | 4 | 2023 |
| Augmenting Bayesian Optimization with Preference-based Expert Feedback D Huang, L Filstroff, P Mikkola, R Zheng, M Todorovic, S Kaski ICML 2023 Workshop on The Many Facets of Preference-based Learning, 2023 | 2 | 2023 |
| Amortized probabilistic conditioning for optimization, simulation and inference PE Chang, N Loka, D Huang, U Remes, S Kaski, L Acerbi arXiv preprint arXiv:2410.15320, 2024 | 1 | 2024 |
| Amortized Bayesian Experimental Design for Decision-Making D Huang, Y Guo, L Acerbi, S Kaski Advances in neural information processing systems (NeurIPS), 2024 | | 2024 |
| Cost-aware simulation-based inference A Bharti, D Huang, S Kaski, FX Briol arXiv preprint arXiv:2410.07930, 2024 | | 2024 |
| Amortized Decision-Aware Bayesian Experimental Design D Huang, Y Guo, L Acerbi, S Kaski NeurIPS 2024 Workshop on Bayesian Decision-making and Uncertainty, 2024 | | 2024 |
Samuel KaskiProfessor, Aalto University and University of ManchesterVerified email at aalto.fi
