10 citations · 11 across the 6 of their papers we have counts for
7 papers
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…
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…
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…
Categorical Equivariant Deep Learning: Category-Equivariant Neural Networks and Universal Approximation Theorems
Yoshihiro Maruyama
We develop a theory of category-equivariant neural networks (CENNs) that unifies group/groupoid-equivariant networks, poset/lattice-equivariant networks, graph and sheaf neural net…
Computing with Categories in Machine Learning
Eli Sennesh, Tom Xu, Yoshihiro Maruyama
Category theory has been successfully applied in various domains of science, shedding light on universal principles unifying diverse phenomena and thereby enabling knowledge transf…
Fibered Universal Algebra for First-Order Logics
Colin Bloomfield, Yoshihiro Maruyama
We extend Lawvere-Pitts prop-categories (aka. hyperdoctrines) to develop a general framework for providing "algebraic" semantics for nonclassical first-order logics. This framework…
The Artificial Scientist: Logicist, Emergentist, and Universalist Approaches to Artificial General Intelligence
Michael Timothy Bennett, Yoshihiro Maruyama
We attempt to define what is necessary to construct an Artificial Scientist, explore and evaluate several approaches to artificial general intelligence (AGI) which may facilitate t…