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Jackpot (Jacobian Kernel Projection Optimization) is a PyTorch-compatible algorithm for approximating uncertainty regions in inverse problems. Given noisy observations and a forward mapping, Jackpot constructs a low-dimensional adversarial manifold that approximates the set of all possible inputs consistent with the output within a tolerance.
Jackpot is a Python package implementing the methods described in this paper.
Installation
pip install -e .
About
Jackpot (Jacobian Kernel Projection Optimization) is a PyTorch-compatible algorithm for approximating uncertainty regions in inverse problems. Given noisy observations and a forward mapping, Jackpot constructs a low-dimensional adversarial manifold that approximates the set of all possible inputs consistent with the output within a tolerance.