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cs.AI2026
EDMA: Entropy-Driven Multimodal Answering
Emanuele Mezzi, Gertjan Burghouts, Fabio Massacci +1
Multimodal question answering (MMQA) is based on integrating heterogeneous data sources, selectively leveraging relevant modalities, and ignoring distractors. Existing approaches b…
cs.LG2026
Foundations of Equivariant Deep Learning: Unifying Graph and Sheaf Neural Networks
Yoshihiro Maruyama
Symmetry is everywhere in nature and society. Geometric deep learning builds architectures respecting group symmetries, whereas topological deep learning organizes computation thro…
q-bio.NC2026
Modeling the Disjunction Effect within Classical Probability: A New Decision Process Model and Comparison with Quantum-like Models
Ryo Nasu, Yoshihiro Maruyama
The disjunction effect in human decision making is often taken to show that the classical law of total probability is violated, motivating quantum-like models. We re-examine this c…