Foundations of Interpretable Deep Learning
- Pietro Barbiero
- Mateo Espinosa Zarlenga
- 2026
- AAAI 2026
Tutorial
Publications
324 results for Neuro-symbolic AI
Causally Reliable Concept Bottleneck Models
- Giovanni De Felice
- Arianna Casanova Flores
- et al.
- 2025
- NeurIPS 2025
Conference paperMeta-D2AG: Causal Graph Learning with Interventional Dynamic Data
- Tian Gao
- Songtao Lu
- et al.
- 2025
- NeurIPS 2025
Conference paperDeferring Concept Bottleneck Models: Learning to Defer Interventions to Inaccurate Experts
- Andrea Pugnana
- Riccardo Massidda
- et al.
- 2025
- NeurIPS 2025
Conference paperI-RAVEN-X: Benchmarking Generalization and Robustness of Analogical and Mathematical Reasoning in Large Language and Reasoning Models
- 2025
- NeurIPS 2025
Workshop paperSpecifying exact circuit algorithms in universal transformers
- Taku Ito
- Ruchir Puri
- et al.
- 2025
- NeurIPS 2025
Workshop paperScaling LLM Planning: NL2FLOW for Parametric Problem Generation and Rigorous Evaluation
- Jung koo Kang
- 2025
- NeurIPS 2025
Workshop paperHamiltonian Monte Carlo with asymmetrical momentum distributions
- Soumyadip Ghosh
- Yingdong Lu
- et al.
- 2025
- Physica D: Nonlinear Phenomena
PaperA Zero-Shot Neuro-Symbolic Approach for Complex Knowledge Graph Question Answering
- Prerna Agarwal
- Srikanta Bedathur
- 2025
- EMNLP 2025
PaperCan Large Reasoning Models do Analogical Reasoning under Perceptual Uncertainty?
- Giacomo Camposampiero
- Michael Hersche
- et al.
- 2025
- NeSy 2025
Conference paper