Bradley Gram-Hansen

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Frank WoodUniversity of British ColumbiaVerified email at cs.ubc.ca
Atılım Güneş BaydinUniversity of OxfordVerified email at robots.ox.ac.uk
Philip TorrProfessor, University of OxfordVerified email at eng.ox.ac.uk
Kyle CranmerNew York UniversityVerified email at nyu.edu
Lukas HeinrichCERNVerified email at cern.ch
Tom RainforthUniversity of OxfordVerified email at stats.ox.ac.uk
Tobias KohnResearch Associate, University of CambridgeVerified email at cl.cam.ac.uk
Hongseok YangProfessor, School of Computing, KAISTVerified email at kaist.ac.kr
Piotr BilinskiUniversity of OxfordVerified email at robots.ox.ac.uk
Veronika Kopackova-StrnadovaČeská geologická službaVerified email at geology.cz
Yuan ZhouDepartment of Computer Science, University of OxfordVerified email at cs.ox.ac.uk
Patrick HelberResearcher @NVIDIA AI Lab, German Research Center for Artificial Intelligence & Vision ImpulseVerified email at dfki.de
Indhu VaratharajanGerman Aersospace Center DLRVerified email at dlr.de
Alejandro Coca-CastroKing's College LondonVerified email at kcl.ac.uk
Christian Schroeder de WittUniversity of OxfordVerified email at robots.ox.ac.uk
Yee Whye TehProfessor of Statistical Machine Learning, Oxford, Research Scientist, DeepMindVerified email at stats.ox.ac.uk
Neil D. LawrenceUniversity of CambridgeVerified email at cl.cam.ac.uk

Bradley Gram-Hansen

Co-founder and CTO of Intelligent Networks

Verified email at intelligentnetworks.ai - Homepage

Machine Learning Probabilistic Programming Approximate Inference Artificial Intelligence Simulations


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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	22	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	19*	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	18*	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 33 (NeurIPS), 2019	17	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	3	2019
Amortized rejection sampling in universal probabilistic programming S Naderiparizi, A Ścibior, A Munk, M Ghadiri, AG Baydin, B Gram-Hansen, ... arXiv preprint arXiv:1910.09056, 2019	1	2019
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	1	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	1	2018
An Investigation into the Creation of Entanglement Mediated by Interaction B Gram-Hansen Dissertation, 2015	1	2015
Simulation-Based Inference for Global Health Decisions W CSd, B Gram-Hansen, N Nardelli, A Gambardella, R Zinkov, P Dokania, ...		2020
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		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		2019
An Insight Into: Quantum Random Walks B Gram-Hansen Thesis,, 2014		2014

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