Aaron Eberhart

In Press
P. Hitzler, Rayan, R., Zalewski, J., Norouzi, S. Saki, Eberhart, A., and Vasserman, E. Y., “Deep Deductive Reasoning is a Hard Deep Learning Problem”, Neurosymbolic Artificial Intelligence, In Press.PDF icon 2024_NAI_DDR.pdf (414.08 KB)
2023
P. Hitzler, Rayan, R., Zalewski, J., Norouzi, S. Saki, Eberhart, A., and Vasserman, E. Y., “Deep Deductive Reasoning is a Hard Deep Learning Problem”, 2023.PDF icon 2023_NAI_DDR.pdf (414.08 KB)
P. Hitzler, Janowicz, K., Shimizu, C., Dalal, A., Eberhart, A., Eells, A., and Norouzi, S. Saki, “Openness and Transparency in Academic Publishing: A Decade of Data from the Semantic Web Journal”, 2023.
A. Eberhart, Zalewski, J., and Hitzler, P., “Should I Stay or Should I Go: A New Reasoner for Description Logic”, in Knowledge Graphs and Semantic Web – 5th Iberoamerican Conference and 4th Indo-American Conference, 2023.PDF icon 2023-KGSWC-emi.pdf (841.04 KB)
2022
S. Chowdhury, Ebrahimi, M., Hitzler, P., and Eberhart, A., “Memory Networks for RDFS Reasoning: Experiments”, SemREC-SMART 2022, Joint Proceedings of SemREC 2022 and SMART 2022 co-located with 21st International SemanticWeb Conference (ISWC 2022). CEUR Workshop Proceedings 3337, CEUR-WS.org 2023, Hangzhou, China, pp. pp. 28-32, 2022.
P. Hitzler, Eberhart, A., Ebrahimi, M., Sarker, M. K., and Zhou, L., “Neuro-symbolic approaches in artificial intelligence”, National Science Review, vol. 9, no. 6, 2022.
M. K. Sarker, Zhou, L., Eberhart, A., and Hitzler, P., “Neuro-Symbolic Artificial Intelligence: Current Trends”, AI Communications, vol. 34, no. 3, 2022.PDF icon 2021_AIC_NeSy.pdf (149.19 KB)
2021
M. Ebrahimi, Eberhart, A., and Hitzler, P., “On the Capabilities of Pointer Networks for Deep Deductive Reasoning”, arXiv, arXiv:2106.09225 vol., 2021.PDF icon 2106.09225.pdf (410.48 KB)
A. Eberhart, Shimizu, C., Chowdhury, S., Sarker, M. K., and Hitzler, P., “Expressibility of OWL Axioms with Patterns”, in ESWC 2021, 2021.PDF icon Expressibility_of_OWL_ Axioms_with_Patterns.pdf (357.95 KB)
A. Eberhart, Shimizu, C. M., Chowdhury, S., Sarker, M. K., and Hitzler, P., “Expressibility of OWL Axioms with Patterns”, in The Semantic Web – 18th International Conference, ESWC 2021, 2021, pp. 230-245.PDF icon 2021-ESWC-Expressebility-of-owl-axioms-and-patterns.pdf (357.95 KB)
M. Ebrahimi, Sarker, M. K., Bianchi, F., Xie, N., Eberhart, A., Doran, D., Kim, H. S., and Hitzler, P., “Neuro-Symbolic Deductive Reasoning for Cross-Knowledge Graph Entailment”, in AAAI-MAKE 2021, 2021.PDF icon 2021-AAAI_MAKE.pdf (753.28 KB)
A. Eberhart, Carral, D., Hitzler, P., Lapp, H., and Rudolph, S., “Seed Patterns for Modeling Trees”, in Advances in Pattern-Based Ontology Engineering, IOS Press, 2021, pp. 48-67.PDF icon Seed_Patterns_for_Modeling_Trees.pdf (568.59 KB)
C. Kupitz, Eberhart, A., Schmidt, D., Stevens, C., Shimizu, C., Hitzler, P., Salvucci, D., Maruyama, B., and Myers, C., “Toward Undifferentiated Cognitive Models”, International Conference on Cognitive Modeling. 2021.PDF icon Kupitz-ICCM21.pdf (281.73 KB)
C. Shimizu, McGranaghan, R., Eberhart, A., and Kellerman, A. C., “Towards a Modular Ontology for Space Weather Research”, in Advances in Ontology Design Patterns, IOS Press, 2021.PDF icon Towards a Modular Ontology for Space Weather Research.pdf (596.89 KB)
M. Ebrahimi, Eberhart, A., Bianchi, F., and Hitzler, P., “Towards Bridging the Neuro-Symbolic Gap: Deep Deductive Reasoners”, Applied Intelligence, 2021.PDF icon APIN2021.pdf (865.93 KB)

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