| Etalumis: Bringing Probabilistic Programming to Scientific Simulators at Scale AG Baydin, L Shao, W Bhimji, L Heinrich, L Meadows, J Liu, A Munk, ... Proceedings of the International Conference for High Performance Computing …, 2019 | 60 | 2019 |
| Mapping informal settlements using machine learning and low resolution multi-spectral data BJ Gram-Hansen*, P Helber*, I Varatharajan, F Azam, A Coca-Castro, ... Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 361-368, 2019 | 53 | 2019 |
| Efficient Probabilistic Inference in the Quest for Physics Beyond the Standard Model AG Baydin, L Heinrich, W Bhimji, B Gram-Hansen, G Louppe, L Shao, ... Advances in Neural Information Processing Systems 32 (NeurIPS 2019), 2019 | 45 | 2019 |
| LF-PPL: A Low-Level First Order Probabilistic Programming Language for Non-Differentiable Models Y Zhou*, BJ Gram-Hansen*, T Kohn, T Rainforth, H Yang, F Wood The 22nd International Conference on Artificial Intelligence and Statistics …, 2019 | 29* | 2019 |
| Hijacking Malaria Simulators with Probabilistic Programming B Gram-Hansen*, CS de Witt*, T Rainforth, PHS Torr, YW Teh, AG Baydin ICML AI for Social Good workshop (AI4SG), 2019 | 10 | 2019 |
| Simulation-Based Inference for Global Health Decisions CS de Witt, B Gram-Hansen, N Nardelli, A Gambardella, R Zinkov, ... ICML workshop on ML for Global health (ML4GH), 2020 | 6 | 2020 |
| Usability of Probabilistic Programming Languages A Blackwell, T Kohn, M Erwig, AG Baydin, L Church, J Geddes, A Gordon, ... Psychology of Programming Interest Group 30th Annual Workshop, PPIG, 2019 | 6 | 2019 |
| Generating Material Maps to Map Informal Settlements P Helber*, B Gram-Hansen*, I Varatharajan, F Azam, A Coca-Castro, ... NeurlPS workshop on Machine Learning for the Developing World (ML4DW), 2018 | 6 | 2018 |
| Amortized rejection sampling in universal probabilistic programming S Naderiparizi, A Scibior, A Munk, M Ghadiri, AG Baydin, ... International Conference on Artificial Intelligence and Statistics, 8392-8412, 2022 | 5 | 2022 |
| Efficient Bayesian Inference for Nested Simulators B Gram-Hansen, CS de Witt, R Zinkov, S Naderiparizi, A Scibior, A Munk, ... Advances in Approximate Bayesian Inference, 2019 | 4 | 2019 |
| Extending probabilistic programming systems and applying them to real-world simulators B Gram-Hansen University of Oxford, 2021 | 2 | 2021 |
| An Investigation into the Creation of Entanglement Mediated by Interaction B Gram-Hansen Dissertation, 2015 | 2 | 2015 |
| Simulation-Based Inference for Global Health Decisions W CSd, B Gram-Hansen, N Nardelli, A Gambardella, R Zinkov, P Dokania, ... | | 2020 |
| Etalumis: Bringing Probabilistic Programming to Scientific Simulators at Scale BA Günes, L Shao, W Bhimji, L Heinrich, L Meadows, J Liu, A Munk, ... Proceedings of SC19, 2019 | | 2019 |
| Efficient Probabilistic Inference in the Quest for Physics Beyond the Standard Model A Güneş Baydin, L Heinrich, W Bhimji, L Shao, S Naderiparizi, A Munk, ... arXiv e-prints, arXiv: 1807.07706, 2018 | | 2018 |
| An Insight Into: Quantum Random Walks B Gram-Hansen Thesis, 2014 | | 2014 |
| Effective Approximate Inference for Nested Simulators BJ Gram-Hansen, A Golinski, CS de Witt, S Naderiparizi, A Scibior, ... | | |
Philip TorrProfessor, University of OxfordVerified email at eng.ox.ac.uk
