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researcher

J. Huttunen

15 papers hereh-index 181.2k citations44 works total

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

author position
  • first author2
  • middle author8
  • last author5

Across the 15 of 15 papers where every author was matched, so the position is known.

fields
  • eess.SP8
  • physics.comp-ph2
  • cs.LG1
  • math.PR1
  • math.ST1
  • physics.geo-ph1

identity via Semantic Scholar / OpenAlex

activity
20162026
most citedDeep convolutional neural networks for estimating porous material parameters with ultrasound tomography

65 citations · 176 across the 12 of their papers we have counts for

collaborators
Showing 2020Show all

2 papers · 1 filter

eess.SP2020

DeepRx MIMO: Convolutional MIMO Detection with Learned Multiplicative Transformations

Dani Korpi, Mikko Honkala, Janne M. J. Huttunen +1

Recently, deep learning has been proposed as a potential technique for improving the physical layer performance of radio receivers. Despite the large amount of encouraging results,…

eess.SP2020

DeepRx: Fully Convolutional Deep Learning Receiver

Mikko Honkala, Dani Korpi, Janne M. J. Huttunen

Deep learning has solved many problems that are out of reach of heuristic algorithms. It has also been successfully applied in wireless communications, even though the current radi…

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