Discontinuous Hamiltonian Monte Carlo for Probabilistic Programs. - Bradley Gram-Hansen; Yuan Zhou 013; Tobias Kohn; Hongseok Yang; Frank D. Wood (CoRR, 2018)

Efficient Probabilistic Inference in the Quest for Physics Beyond the Standard Model. - Atilim Gunes Baydin; Lukas Heinrich; Wahid Bhimji; Bradley Gram-Hansen; Gilles Louppe; Lei Shao; Prabhat; Kyle Cranmer; Frank D. Wood (CoRR, 2018)

Generating Material Maps to Map Informal Settlements. - Patrick Helber; Bradley Gram-Hansen; Indhu Varatharajan; Faiza Azam; Alejandro Coca-Castro; Veronika Kopacková; Piotr Bilinski (CoRR, 2018)

Mapping Informal Settlements in Developing Countries with Multi-resolution, Multi-spectral Data. - Patrick Helber; Bradley Gram-Hansen; Indhu Varatharajan; Faiza Azam; Alejandro Coca-Castro; Veronika Kopacková; Piotr Bilinski (CoRR, 2018)

Mapping Informal Settlements in Developing Countries using Machine Learning and Low Resolution Multi-spectral Data. - Bradley J. Gram-Hansen; Patrick Helber; Indhu Varatharajan; Faiza Azam; Alejandro Coca-Castro; Veronika Kopacková; Piotr Bilinski (AIES, 2019)

LF-PPL: A Low-Level First Order Probabilistic Programming Language for Non-Differentiable Models. - Yuan Zhou 013; Bradley J. Gram-Hansen; Tobias Kohn; Tom Rainforth; Hongseok Yang; Frank Wood (AISTATS, 2019)

Efficient Probabilistic Inference in the Quest for Physics Beyond the Standard Model. - Atilim Gunes Baydin; Lei Shao; Wahid Bhimji; Lukas Heinrich; Saeid Naderiparizi; Andreas Munk 001; Jialin Liu 002; Bradley Gram-Hansen; Gilles Louppe; Lawrence Meadows; Philip H. S. Torr; Victor W. Lee; et al. (NeurIPS, 2019)

Usability of Probabilistic Programming Languages. - Alan F. Blackwell; Luke Church; Martin Erwig; James Geddes; Andy Gordon 001; Maria I. Gorinova 001; Atilim Gunes Baydin; Bradley Gram-Hansen; Tobias Kohn; Neil D. Lawrence; Vikash Mansinghka 001; Brooks Paige; et al. (PPIG, 2019)

Etalumis: bringing probabilistic programming to scientific simulators at scale. - Atilim Günes Baydin; Lei Shao; Wahid Bhimji; Lukas Heinrich; Lawrence Meadows; Jialin Liu 002; Andreas Munk 001; Saeid Naderiparizi; Bradley Gram-Hansen; Gilles Louppe; Mingfei Ma; Xiaohui Zhao; et al. (SC, 2019)

Hijacking Malaria Simulators with Probabilistic Programming. - Bradley Gram-Hansen; Christian Schröder de Witt; Tom Rainforth; Philip H. S. Torr; Yee Whye Teh; Atilim Günes Baydin (CoRR, 2019)

Simulation-Based Inference for Global Health Decisions. - Christian Schröder de Witt; Bradley Gram-Hansen; Nantas Nardelli; Andrew Gambardella; Robert Zinkov; Puneet K. Dokania; N. Siddharth 001; Ana Belen Espinosa-Gonzalez; Ara Darzi; Philip H. S. Torr; Atilim Günes Baydin (CoRR, 2020)

Extending probabilistic programming systems and applying them to real-world simulators. - Bradley Gram-Hansen (2021)

Amortized Rejection Sampling in Universal Probabilistic Programming. - Saeid Naderiparizi; Adam Scibior; Andreas Munk 001; Mehrdad Ghadiri; Atilim Gunes Baydin; Bradley J. Gram-Hansen; Christian A. Schröder de Witt; Robert Zinkov; Philip H. S. Torr; Tom Rainforth; Yee Whye Teh; Frank Wood (AISTATS, 2022)