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Bradley Gram-Hansen
Bradley Gram-Hansen
AI Research Scientist, Dataminr | DPhil, Oxford University
Zweryfikowany adres z dataminr.com - Strona główna
Tytuł
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Cytowane przez
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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
622019
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
59*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
462019
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
31*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
112019
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
72020
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
62019
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
62018
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
42022
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
42019
Extending probabilistic programming systems and applying them to real-world simulators
B Gram-Hansen
University of Oxford, 2021
22021
An Investigation into the Creation of Entanglement Mediated by Interaction
B Gram-Hansen
Dissertation, 2015
22015
Prabhat and F. Wood (2019). Etalumis: Bringing Probabilistic Programming to Scientific Simulators at Scale
AG Baydin, L Shao, W Bhimji, L Heinrich, LF Meadows, J Liu, A Munk, ...
Proceedings of the International Conference for High Performance Computing …, 0
2
An Insight Into: Quantum Random Walks
B Gram-Hansen
Thesis, 2014
12014
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
Effective Approximate Inference for Nested Simulators
BJ Gram-Hansen, A Golinski, CS de Witt, S Naderiparizi, A Scibior, ...
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Prace 1–18