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Bradley Gram-Hansen
Bradley Gram-Hansen
AI Research Scientist, Dataminr | DPhil, Oxford University
Verified email at dataminr.com - Homepage
Title
Cited by
Cited by
Year
An introduction to probabilistic programming
JW van de Meent, B Paige, H Yang, F Wood
arXiv preprint arXiv:1809.10756, 2018
2142018
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
69*2019
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
662019
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
502019
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
34*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
122019
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
102018
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
92019
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
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
52022
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
52019
Extending probabilistic programming systems and applying them to real-world simulators
B Gram-Hansen
University of Oxford, 2021
42021
Christian Schroeder de Witt de Witt, Robert Zinkov, Philip HS Torr, Tom Rainforth, Yee Whye Teh, and Frank Wood. Amortized rejection sampling in universal probabilistic programming
S Naderiparizi, A Scibior, A Munk, M Ghadiri, AG Baydin, B Gram-Hansen
arXiv preprint arXiv:1910.09056, 2019
22019
Prabhat, Kyle Cranmer, and Frank D
AG Baydin, L Heinrich, W Bhimji, B Gram-Hansen, G Louppe, L Shao
Wood. Efficient probabilistic inference in the quest for physics beyond the …, 2018
22018
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
Amortized Rejection Sampling in Universal Probabilistic Programming
AG Baydin
2022
Simulation-Based Inference for Global Health Decisions
W CSd, B Gram-Hansen, N Nardelli, A Gambardella, R Zinkov, P Dokania, ...
2020
Usability of Probabilistic Programming Languages
AG Baydin
2019
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