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Matej Hoffmann

4 papers hereh-index 24 citations9 works total

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

author position
  • middle author2
  • last author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV1
  • cs.LG1
  • cs.RO1
  • q-bio.NC1
same name
  • Matej Hoffmann — 8 papers, h 3
  • Matej Hoffmann — 5 papers, h 1
  • Matej Hoffmann — 4 papers, h 3
  • Matej Hoffmann — 2 papers, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedA computational model of infant sensorimotor exploration in the mobile paradigm

1 citations · 1 across the 2 of their papers we have counts for

collaborators

4 papers

q-bio.NC2026★ 1 cited

A computational model of infant sensorimotor exploration in the mobile paradigm

Josua Spisak, Sergiu Tcaci Popescu, Stefan Wermter +2

We present a computational model of the mechanisms that may determine infant behavior in the "mobile paradigm". This paradigm has been used in developmental psychology to explore h…

cs.LG2026

Infant Spontaneous Movement Noise Improves Exploration in Deep RL

Francisco M. López, Markus R. Ernst, Francisco Cruz +2

Exploration in deep reinforcement learning (RL) is commonly implemented as temporally uncorrelated white noise. However, recent works show that temporally correlated colored noise…

cs.CV2026

BLANKET: Anonymizing Faces in Infant Video Recordings

Ditmar Hadera, Jan Cech, Miroslav Purkrabek +1

Ensuring the ethical use of video data involving human subjects, particularly infants, requires robust anonymization methods. We propose BLANKET (Baby-face Landmark-preserving ANon…

cs.RO2025

Unsupervised Discovery of Behavioral Primitives from Sensorimotor Dynamic Functional Connectivity

Fernando Diaz Ledezma, Valentin Marcel, Matej Hoffmann

The movements of both animals and robots give rise to streams of high-dimensional motor and sensory information. Imagine the brain of a newborn or the controller of a baby humanoid…

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