21.02.2022
MCML at AAAI 2022
Two Accepted Papers
36th Conference on Artificial Intelligence, Virtual, Feb 22-Mar 01, 2022
We are happy to announce that MCML researchers have contributed a total of 2 papers to AAAI 2022. Congrats to our researchers!
Main Track (2 papers)
Y. Liu • Y. Ma • M. Hildebrandt • M. Joblin • V. Tresp
TLogic: Temporal logical rules for explainable link forecasting on temporal knowledge graphs.
AAAI 2022 - 36th Conference on Artificial Intelligence. Virtual, Feb 22-Mar 01, 2022. DOI
TLogic: Temporal logical rules for explainable link forecasting on temporal knowledge graphs.
AAAI 2022 - 36th Conference on Artificial Intelligence. Virtual, Feb 22-Mar 01, 2022. DOI
S. Sharifzadeh • S. M. Baharlou • M. Schmitt • H. Schütze • V. Tresp
Improving Scene Graph Classification by Exploiting Knowledge from Texts.
AAAI 2022 - 36th Conference on Artificial Intelligence. Virtual, Feb 22-Mar 01, 2022. DOI
Improving Scene Graph Classification by Exploiting Knowledge from Texts.
AAAI 2022 - 36th Conference on Artificial Intelligence. Virtual, Feb 22-Mar 01, 2022. DOI
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Vincent Fortuin Receives ERC Starting Grant for Reliable Small-Data AI
MCML PI Vincent Fortuin receives an ERC Starting Grant for AutoBayes, advancing reliable AI methods for learning from small datasets.
