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researcher

Nicolas Heess

2 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1
  • last author1

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.LG1
  • stat.ML1
ORCID 0000-0001-7876-9256

identity via Semantic Scholar / OpenAlex

most citedRecurrent Models of Visual Attention

999 citations · 999 across the 2 of their papers we have counts for

collaborators

2 papers

stat.ML2015

Passing Expectation Propagation Messages with Kernel Methods

Wittawat Jitkrittum, Arthur Gretton, Nicolas Heess

We propose to learn a kernel-based message operator which takes as input all expectation propagation (EP) incoming messages to a factor node and produces an outgoing message. In or…

cs.LG2014★ 999 cited

Recurrent Models of Visual Attention

Volodymyr Mnih, Nicolas Heess, Alex Graves +1

Applying convolutional neural networks to large images is computationally expensive because the amount of computation scales linearly with the number of image pixels. We present a…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.