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Published in 2024 at "Medical Physics"
DOI: 10.1002/mp.17287
Abstract: The reliable and efficient estimation of uncertainty in artificial intelligence (AI) models poses an ongoing challenge in many fields such as radiation therapy. AI models are intended to automate manual steps involved in the treatment…
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Keywords:
treatment;
dose prediction;
input reconstruction;
reconstruction used ... See more keywords
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Published in 2019 at "Circuits, Systems, and Signal Processing"
DOI: 10.1007/s00034-019-01145-7
Abstract: In this short note, we present a perspective on viewing tracking control problems as input reconstruction problems and thereby suggesting that input reconstruction methods are naturally suited for tracking problems. This perspective not only helps…
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Keywords:
reconstruction;
input reconstruction;
using input;
perspective using ... See more keywords
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Published in 2023 at "IEEE Transactions on Automatic Control"
DOI: 10.1109/tac.2022.3192799
Abstract: Left inversion of linear time-invariant systems aims at identifying the input acting on a system, for the zero initial state, from partial information on the input and the state. In the present contribution, we propose…
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Keywords:
inversion;
strong left;
input reconstruction;
left inversion ... See more keywords
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Published in 2025 at "Neural computation"
DOI: 10.48550/arxiv.2501.11409
Abstract: Echo state networks (ESNs) are a class of recurrent neural networks in which only the readout layer is trainable, while the recurrent and input layers are fixed. This architectural constraint enables computationally efficient processing of…
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Keywords:
echo state;
input reconstruction;
reconstruction;
state networks ... See more keywords