| Recognizing emotions in video using multimodal DNN feature fusion J Williams, S Kleinegesse, R Comanescu, O Radu Proceedings of Grand Challenge and Workshop on Human Multimodal Language …, 2018 | 102 | 2018 |
| Bayesian experimental design for implicit models by mutual information neural estimation S Kleinegesse, MU Gutmann International conference on machine learning, 5316-5326, 2020 | 78 | 2020 |
| Efficient Bayesian experimental design for implicit models S Kleinegesse, MU Gutmann The 22nd International Conference on Artificial Intelligence and Statistics …, 2019 | 59 | 2019 |
| Implicit deep adaptive design: Policy-based experimental design without likelihoods DR Ivanova, A Foster, S Kleinegesse, MU Gutmann, T Rainforth Advances in neural information processing systems 34, 25785-25798, 2021 | 47 | 2021 |
| Pulse shape discrimination and exploration of scintillation signals using convolutional neural networks J Griffiths, S Kleinegesse, D Saunders, R Taylor, A Vacheret Machine Learning: Science and Technology 1 (4), 045022, 2020 | 43 | 2020 |
| Gradient-based Bayesian experimental design for implicit models using mutual information lower bounds S Kleinegesse, MU Gutmann arXiv preprint arXiv:2105.04379, 2021 | 28 | 2021 |
| Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics S Kleinegesse, MU Gutmann, K Chaudhuri, M Sugiyama PMLR, 2019 | 7 | 2019 |
| Statistical applications of contrastive learning MU Gutmann, S Kleinegesse, B Rhodes Behaviormetrika 49 (2), 277-301, 2022 | 6 | 2022 |
| Designing optimal behavioral experiments using machine learning S Valentin, S Kleinegesse, NR Bramley, P Seriès, MU Gutmann, ... Elife 13, e86224, 2024 | 5 | 2024 |
| Bayesian optimal experimental design for simulator models of cognition S Valentin, S Kleinegesse, NR Bramley, MU Gutmann, CG Lucas arXiv preprint arXiv:2110.15632, 2021 | 4 | 2021 |
| Bayesian experimental design for intractable models of cognition S Valentin, S Kleinegesse, NR Bramley, M Gutmann, C Lucas Proceedings of the annual meeting of the Cognitive Science Society 43 (43), 2021 | 2 | 2021 |
| Domain knowledge in a*-based causal discovery S Kleinegesse, AR Lawrence, H Chockler arXiv preprint arXiv:2208.08247, 2022 | 1 | 2022 |
| Apparatus and method of data processing H Chockler, D McNamee, A Lawrence, S Kleinegesse, M Sipos US Patent App. 18/170,618, 2023 | | 2023 |
| Bayesian experimental design for implicit models using mutual information S Kleinegesse The University of Edinburgh, 2022 | | 2022 |
| Efficient Automated Online Experimentation with Multi-Fidelity S Kleinegesse, Z Dai, A Damianou, K Ciosek, F Tomasi Fifth Workshop on Meta-Learning at the Conference on Neural Information …, 0 | | |
Michael U. GutmannUniversity of EdinburghVerified email at ed.ac.uk
