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

2 code implementations • 12 Jul 2024 • Polina Turishcheva, Paul G. Fahey, Michaela Vystrčilová, Laura Hansel, Rachel Froebe, Kayla Ponder, Yongrong Qiu, Konstantin F. Willeke, Mohammad Bashiri, Ruslan Baikulov, Yu Zhu, Lei Ma, Shan Yu, Tiejun Huang, Bryan M. Li, Wolf De Wulf, Nina Kudryashova, Matthias H. Hennig, Nathalie L. Rochefort, Arno Onken, Eric Wang, Zhiwei Ding, Andreas S. Tolias, Fabian H. Sinz, Alexander S Ecker

To address this gap, we established the Sensorium 2023 Benchmark Competition with dynamic input, featuring a new large-scale dataset from the primary visual cortex of ten mice.

Benchmarking Pupil Dilation

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

1 code implementation • 31 May 2023 • Aryo Pradipta Gema, Dominik Grabarczyk, Wolf De Wulf, Piyush Borole, Javier Antonio Alfaro, Pasquale Minervini, Antonio Vergari, Ajitha Rajan

We achieve a three-fold improvement in terms of performance based on the HITS@10 score over previous work on the same biomedical knowledge graph.

Knowledge Graph Embedding Knowledge Graph Embeddings +2

LP2PB: Translating Answer Set Programs into Pseudo-Boolean Theories

1 code implementation • 22 Sep 2020 • Wolf De Wulf, Bart Bogaerts

Answer set programming (ASP) is a well-established knowledge representation formalism.