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Wolf De Wulf

3 papers hereh-index 237 citations3 works total

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

author position
  • first author1
  • middle author2

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.LG1
  • cs.LO1
  • q-bio.NC1

identity via Semantic Scholar / OpenAlex

activity
20202024
most citedRetrospective for the Dynamic Sensorium Competition for predicting large-scale mouse primary visual cortex activity from videos

2 citations · 5 across the 3 of their papers we have counts for

collaborators

3 papers

q-bio.NC2024★ 2 cited

Retrospective for the Dynamic Sensorium Competition for predicting large-scale mouse primary visual cortex activity from videos

Polina Turishcheva, Paul G. Fahey, Michaela Vystrčilová +22

Understanding how biological visual systems process information is challenging because of the nonlinear relationship between visual input and neuronal responses. Artificial neural…

cs.LG2023★ 2 cited

Knowledge Graph Embeddings in the Biomedical Domain: Are They Useful? A Look at Link Prediction, Rule Learning, and Downstream Polypharmacy Tasks

Aryo Pradipta Gema, Dominik Grabarczyk, Wolf De Wulf +5

Knowledge graphs are powerful tools for representing and organising complex biomedical data. Several knowledge graph embedding algorithms have been proposed to learn from and compl…

cs.LO2020★ 1 cited

LP2PB: Translating Answer Set Programs into Pseudo-Boolean Theories

Wolf De Wulf, Bart Bogaerts

Answer set programming (ASP) is a well-established knowledge representation formalism. Most ASP solvers are based on (extensions of) technology from Boolean satisfiability solving.…

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