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Bernardo Cuenca Grau
10 papers at tracked venues · 5 at CORE A* · active 2024–2026
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Venues
KR
×4
ICLR
×3
AAAI
×2
ISWC
×1
Frequent coauthors
David J. Tena Cucala
×5
Matthew Morris
×3
Ian Horrocks
×3
Przemyslaw Andrzej Walega
×2
Ouns El Harzli
×2
Eva Feng
×1
Alexander Furmston
×1
Jieying Chen
×1
Guillermo Valle Pérez
×1
Ard A. Louis
×1
Xiaxia Wang
×1
Dingmin Wang
×1
Papers
The Correspondence Between Bounded Graph Neural Networks and Fragments of First-Order Logic
BibTeX ⧉
AAAI 2026
·
Bernardo Cuenca Grau
,
Eva Feng
,
Przemyslaw Andrzej Walega
Bayesian Treatment of the Spectrum of the Empirical Kernel in (Sub)Linear-Width Neural Networks
BibTeX ⧉
ICLR 2025
·
Ouns El Harzli
,
Bernardo Cuenca Grau
Logical Expressivity and Explanations for Monotonic GNNs with Scoring Functions
BibTeX ⧉
KR 2025
·
Matthew Morris
,
David J. Tena Cucala
,
Bernardo Cuenca Grau
Parallel Reasoning in Sequoia
BibTeX ⧉
ISWC 2025
·
Alexander Furmston
,
David J. Tena Cucala
,
Jieying Chen
,
Bernardo Cuenca Grau
Bridging Max Graph Neural Networks and Datalog with Negation
BibTeX ⧉
KR 2024
·
David J. Tena Cucala
,
Bernardo Cuenca Grau
Double-Descent Curves in Neural Networks: A New Perspective Using Gaussian Processes
BibTeX ⧉
AAAI 2024
·
Ouns El Harzli
,
Bernardo Cuenca Grau
,
Guillermo Valle Pérez
,
Ard A. Louis
Faithful Rule Extraction for Differentiable Rule Learning Models
BibTeX ⧉
ICLR 2024
·
Xiaxia Wang
,
David Jaime Tena Cucala
,
Bernardo Cuenca Grau
,
Ian Horrocks
MTLearn: Extracting Temporal Rules Using Datalog Rule Learners
BibTeX ⧉
KR 2024
·
Dingmin Wang
,
Przemyslaw Andrzej Walega
,
Bernardo Cuenca Grau
Orbit-Equivariant Graph Neural Networks
BibTeX ⧉
ICLR 2024
·
Matthew Morris
,
Bernardo Cuenca Grau
,
Ian Horrocks
Relational Graph Convolutional Networks Do Not Learn Sound Rules
BibTeX ⧉
KR 2024
·
Matthew Morris
,
David J. Tena Cucala
,
Bernardo Cuenca Grau
,
Ian Horrocks