← Search

Christopher Suter

2 accepted papers

2023

ProbNeRF: Uncertainty-Aware Inference of 3D Shapes from 2D Images

AISTATS 2023poster

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 objects. Recently, conditional neural radiance field (…

2018

Simple, Distributed, and Accelerated Probabilistic Programming

NeurIPS 2018poster

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 TensorFlow enables numerous applications: a model-par…