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IJCLR 2021 Keynote Talk by Hector Geffner: "Target Languages for Learning to Act & Plan"
IJCLR 2021 Keynote Talk by Hector Geffner: "Target Languages for Learning to Act & Plan"
IJCLR 2021 Keynote Talk by Zhi-Hua Zhou: "From Pure Learning to Learning & Reasoning"
IJCLR 2021 Keynote Talk by Gary Marcus: "Towards a Proper Foundation for Artificial Intelligence"
IJCLR 2021 Keynote Talk by Josh Tenenbaum: "Reverse Engineering Human Cognitive Development"
KI2020 Keynote Hector Geffner
IJCLR 2021 - NeSy Continual Learning Tutorial - Hava Siegelmann: Lifelong Learning & Time-Aware AI
Where learning meets reasoning | Hector Geffner is a Humboldt Professor for AI
IJCAI-ECAI 2018 Hector Geffner Model-free, Model-based, and General Intelligence
IJCLR 2021: Beyond Graph Neural Networks with Lifted Relational Neural Networks
IJCLR 2021 - AAIP Inv. Talk by Armando Solar-Lezama: Neurosymbolic Reasoning for Better Learning
Hector Geffner at Judea Pearl Symposium