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Simulation-Based Inference for Global Health Decisions

May 14, 2020
Christian Schroeder de Witt, Bradley Gram-Hansen, Nantas Nardelli, Andrew Gambardella, Rob Zinkov, Puneet Dokania, N. Siddharth, Ana Belen Espinosa-Gonzalez, Ara Darzi, Philip Torr, Atılım Güneş Baydin


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Amortized Rejection Sampling in Universal Probabilistic Programming

Nov 30, 2019
Saeid Naderiparizi, Adam Ścibior, Andreas Munk, Mehrdad Ghadiri, Atılım Güneş Baydin, Bradley Gram-Hansen, Christian Schroeder de Witt, Robert Zinkov, Philip H. S. Torr, Tom Rainforth, Yee Whye Teh, Frank Wood


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Etalumis: Bringing Probabilistic Programming to Scientific Simulators at Scale

Jul 08, 2019
Atılım Güneş Baydin, Lei Shao, Wahid Bhimji, Lukas Heinrich, Lawrence Meadows, Jialin Liu, Andreas Munk, Saeid Naderiparizi, Bradley Gram-Hansen, Gilles Louppe, Mingfei Ma, Xiaohui Zhao, Philip Torr, Victor Lee, Kyle Cranmer, Prabhat, Frank Wood

* 14 pages, 8 figures 

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Hijacking Malaria Simulators with Probabilistic Programming

May 29, 2019
Bradley Gram-Hansen, Christian Schröder de Witt, Tom Rainforth, Philip H. S. Torr, Yee Whye Teh, Atılım Güneş Baydin

* ICML Workshop on AI for Social Good, 2018 
* 6 pages, 3 figures, Accepted at the International Conference on Machine Learning AI for Social Good Workshop, Long Beach, United States, 2019 

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Mapping Informal Settlements in Developing Countries using Machine Learning and Low Resolution Multi-spectral Data

Jan 03, 2019
Bradley Gram-Hansen, Patrick Helber, Indhu Varatharajan, Faiza Azam, Alejandro Coca-Castro, Veronika Kopackova, Piotr Bilinski

* 10 pages, 6 figures, AAAI ACM Conference on AI, ethics and society. arXiv admin note: substantial text overlap with arXiv:1812.00812 

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Mapping Informal Settlements in Developing Countries with Multi-resolution, Multi-spectral Data

Nov 30, 2018
Patrick Helber, Bradley Gram-Hansen, Indhu Varatharajan, Faiza Azam, Alejandro Coca-Castro, Veronika Kopackova, Piotr Bilinski


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Generating Material Maps to Map Informal Settlements

Nov 30, 2018
Patrick Helber, Bradley Gram-Hansen, Indhu Varatharajan, Faiza Azam, Alejandro Coca-Castro, Veronika Kopackova, Piotr Bilinski

* Presented at NeurIPS 2018 Workshop on Machine Learning for the Developing World 

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Efficient Probabilistic Inference in the Quest for Physics Beyond the Standard Model

Sep 01, 2018
Atilim Gunes Baydin, Lukas Heinrich, Wahid Bhimji, Bradley Gram-Hansen, Gilles Louppe, Lei Shao, Prabhat, Kyle Cranmer, Frank Wood

* 18 pages, 5 figures 

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Discontinuous Hamiltonian Monte Carlo for Probabilistic Programs

Apr 07, 2018
Bradley Gram-Hansen, Yuan Zhou, Tobias Kohn, Hongseok Yang, Frank Wood

* 13 pages, 3 figures 

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