Extending probabilistic programming systems and applying them to real-world simulators by Gram-Hansen, B

Amortized rejection sampling in universal probabilistic programming by Naderiparizi, S, Scibior, A, Munk, A, Ghadiri, M, Güneş Baydin, A, Gram-Hansen, B, Schroeder de Witt, C, Zinkov, R, Torr, PHS, Rainforth, T, Teh, YW, Wood, F

Simulation-based inference for global health decisions by Schroeder de Witt, C, Gram-Hansen, B, Nardelli, N, Gambardella, A, Zinkov, R, Dokania, P, Siddharth, N, Espinosa-Gonzalez, AB, Darzi, A, Torr, PHS, Güneş Baydin, A

Efficient probabilistic inference in the quest for physics beyond the standard model by Baydin, AG, Heinrich, L, Bhimji, W, Shao, L, Naderiparizi, S, Munk, A, Liu, J, Gram-Hansen, B, Louppe, G, Meadows, L, Toor, P, Lee, V, Prabhat, Cranmer, K, Wood, F

Etalumis: bringing probabilistic programming to scientific simulators at scale by Baydin, AG, Shao, L, Bhimji, W, Heinrich, L, Meadows, L, Liu, J, Munk, A, Naderiparizi, S, Gram-Hansen, B, Louppe, G, Ma, M, Zhao, X, Torr, PHS, Lee, V, Cranmer, K, Prabhat, Wood, F