◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Umut Güçlü

Radboud University

21 papers hereh-index 273.3k citations86 works total

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

author position
  • first author5
  • middle author13

Across the 18 of 21 papers where every author was matched, so the position is known.

fields
  • cs.CV6
  • stat.ML6
  • q-bio.NC5
  • cs.LG4
affiliations
  • Radboud University
  • Donders Institute for Brain, Cognition and Behaviour
Homepage

identity via Semantic Scholar / OpenAlex

activity
20142022
most citedDeep Neural Networks Reveal a Gradient in the Complexity of Neural Representations across the Brain's Ventral Visual Pathway

1.1k citations · 1.5k across the 21 of their papers we have counts for

collaborators
Showing 2019Show all

3 papers · 1 filter

cs.LG2019

Background Hardly Matters: Understanding Personality Attribution in Deep Residual Networks

Gabriëlle Ras, Ron Dotsch, Luca Ambrogioni +2

Perceived personality traits attributed to an individual do not have to correspond to their actual personality traits and may be determined in part by the context in which one enco…

cs.LG2019

Temporal Factorization of 3D Convolutional Kernels

Gabriëlle Ras, Luca Ambrogioni, Umut Güçlü +1

3D convolutional neural networks are difficult to train because they are parameter-expensive and data-hungry. To solve these problems we propose a simple technique for learning 3D…

stat.ML2019★ 3 cited

k-GANs: Ensemble of Generative Models with Semi-Discrete Optimal Transport

Luca Ambrogioni, Umut Güçlü, Marcel van Gerven

Generative adversarial networks (GANs) are the state of the art in generative modeling. Unfortunately, most GAN methods are susceptible to mode collapse, meaning that they tend to…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.