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#neuralprocess search results

yuqirose's profile picture. Machine Learning Prof @UCSanDiego, Scholar @amazon, Previously @google, @Northeastern, @Caltech, @USC, #Physics-Guided #AI, MIT TR-35 Innovator.
Rose Yu
@yuqirose
Jul 21, 2024

We introduce Multi-fidelity Residual Neural Process (MFRNP), a #NeuralProcess surrogate model that aggregates information from lower fidelities and explicitly models the residual between the aggregated prediction and the highest fidelity level. (2/3)

yuqirose's tweet image. We introduce Multi-fidelity Residual Neural Process (MFRNP), a #NeuralProcess surrogate model that aggregates information from lower fidelities and explicitly models the residual between the aggregated prediction and the highest fidelity level. (2/3)
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Epsilon_Lee's profile picture. PhD, MLer, CLer (NLPer), ML Engineer at https://t.co/gX6Lem59Co, have belief in interpretability research of AI/ML/NNs
Epsilon Guanlin Lee
 @Epsilon_Lee
Jun 21, 2019

#neuralprocess

wellingmax's profile picture.
Max Welling
 @wellingmax
Jun 21, 2019

Our paper on Functional Neural Processes is now online: arxiv.org/abs/1906.08324 (it's a NPB deep learning architecture without GPs)

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wiclone's profile picture.
WIClone
 @wiclone
Apr 8, 2016

#neuralprocess 󾀿Relax_and_enjoy_the_fun_of_leisurely_dating.󾀿 wiclone.com/offer/o-relax_…

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yuqirose's profile picture. Machine Learning Prof @UCSanDiego, Scholar @amazon, Previously @google, @Northeastern, @Caltech, @USC, #Physics-Guided #AI, MIT TR-35 Innovator.
Rose Yu
@yuqirose
Jul 21, 2024

We introduce Multi-fidelity Residual Neural Process (MFRNP), a #NeuralProcess surrogate model that aggregates information from lower fidelities and explicitly models the residual between the aggregated prediction and the highest fidelity level. (2/3)

yuqirose's tweet image. We introduce Multi-fidelity Residual Neural Process (MFRNP), a #NeuralProcess surrogate model that aggregates information from lower fidelities and explicitly models the residual between the aggregated prediction and the highest fidelity level. (2/3)
1
0
4
0
557
Epsilon_Lee's profile picture. PhD, MLer, CLer (NLPer), ML Engineer at https://t.co/gX6Lem59Co, have belief in interpretability research of AI/ML/NNs
Epsilon Guanlin Lee
 @Epsilon_Lee
Jun 21, 2019

#neuralprocess

wellingmax's profile picture.
Max Welling
 @wellingmax
Jun 21, 2019

Our paper on Functional Neural Processes is now online: arxiv.org/abs/1906.08324 (it's a NPB deep learning architecture without GPs)

2
62
330
44
0
0
0
0
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wiclone's profile picture.
WIClone
 @wiclone
Apr 8, 2016

#neuralprocess 󾀿Relax_and_enjoy_the_fun_of_leisurely_dating.󾀿 wiclone.com/offer/o-relax_…

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No results for "#neuralprocess"
yuqirose's profile picture. Machine Learning Prof @UCSanDiego, Scholar @amazon, Previously @google, @Northeastern, @Caltech, @USC, #Physics-Guided #AI, MIT TR-35 Innovator.
Rose Yu
@yuqirose
Jul 21, 2024

We introduce Multi-fidelity Residual Neural Process (MFRNP), a #NeuralProcess surrogate model that aggregates information from lower fidelities and explicitly models the residual between the aggregated prediction and the highest fidelity level. (2/3)

yuqirose's tweet image. We introduce Multi-fidelity Residual Neural Process (MFRNP), a #NeuralProcess surrogate model that aggregates information from lower fidelities and explicitly models the residual between the aggregated prediction and the highest fidelity level. (2/3)
1
0
4
0
557

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