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of 4
pro vyhledávání: '"Suter, Christopher"'
Autor:
Jewell, Chris P, Hale, Alison C, Rowlingson, Barry S, Suter, Christopher, Read, Jonathan M, Roberts, Gareth O
Stochastic epidemic models which incorporate interactions between space and human mobility are a key tool to inform prioritisation of outbreak control to appropriate locations. However, methods for fitting such models to national-level population dat
Externí odkaz:
http://arxiv.org/abs/2306.07987
Autor:
Hoffman, Matthew D., Le, Tuan Anh, Sountsov, Pavel, Suter, Christopher, Lee, Ben, Mansinghka, Vikash K., Saurous, Rif A.
The problem of inferring object shape from a single 2D image is underconstrained. Prior knowledge about what objects are plausible can help, but even given such prior knowledge there may still be uncertainty about the shapes of occluded parts of obje
Externí odkaz:
http://arxiv.org/abs/2210.17415
Autor:
Lao, Junpeng, Suter, Christopher, Langmore, Ian, Chimisov, Cyril, Saxena, Ashish, Sountsov, Pavel, Moore, Dave, Saurous, Rif A., Hoffman, Matthew D., Dillon, Joshua V.
Markov chain Monte Carlo (MCMC) is widely regarded as one of the most important algorithms of the 20th century. Its guarantees of asymptotic convergence, stability, and estimator-variance bounds using only unnormalized probability functions make it i
Externí odkaz:
http://arxiv.org/abs/2002.01184
Autor:
Tran, Dustin, Hoffman, Matthew, Moore, Dave, Suter, Christopher, Vasudevan, Srinivas, Radul, Alexey, Johnson, Matthew, Saurous, Rif A.
We describe a simple, low-level approach for embedding probabilistic programming in a deep learning ecosystem. In particular, we distill probabilistic programming down to a single abstraction---the random variable. Our lightweight implementation in T
Externí odkaz:
http://arxiv.org/abs/1811.02091