TU Wien Informatics

20 Years

Role

  • Adaptive large-neighbourhood search for optimisation in answer-set programming / Eiter, T., Geibinger, T., Higuera Ruiz, N. N., Musliu, N., Oetsch, J., Pfliegler, D., & Stepanova, D. (2024). Adaptive large-neighbourhood search for optimisation in answer-set programming. Artificial Intelligence, 337, Article 104230. https://doi.org/10.1016/j.artint.2024.104230
  • Neuro-Symbolic Visual Graph Question Answering with LLMs for Language Parsing / Bauer, J. J., Eiter, T., Higuera Ruiz, N. N., & Oetsch, J. (2023, November 21). Neuro-Symbolic Visual Graph Question Answering with LLMs for Language Parsing [Conference Presentation]. TAASP23: Workshop on Trends and Applications of Answer Set Programming, Potsdam, Germany. https://doi.org/10.34726/5462
    Download: PDF (835 KB)
  • A Logic-based Approach to Contrastive Explainability for Neurosymbolic Visual Question Answering / Eiter, T., Geibinger, T., Higuera, N., & Oetsch, J. (2023). A Logic-based Approach to Contrastive Explainability for Neurosymbolic Visual Question Answering. In E. Elkind (Ed.), Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence (pp. 3668–3676). International Joint Conferences on Artificial Intelligence. https://doi.org/10.24963/ijcai.2023/408
  • A modular neurosymbolic approach for visual graph question answering / Eiter, T., Higuera Ruiz, N. N., & Oetsch, J. (2023). A modular neurosymbolic approach for visual graph question answering. In A. S. d’Avila Garcez, T. R. Besold, M. Gori, & E. Jiménez-Ruiz (Eds.), Proceedings of the 17th International Workshop on Neural-Symbolic Learning and Reasoning (NeSy 2023) (pp. 139–149). CEUR-WS.org. https://doi.org/10.34726/5409
    Download: PDF (533 KB)
  • Elaboration for Neurosymbolic Compuation / Eiter, T., & Higuera Ruiz, N. N. (2022, November 29). Elaboration for Neurosymbolic Compuation [Conference Presentation]. TAASP - Workshop on Trends and Applications of Answer Set Programming, Wien, Austria.
  • ALASPO: An Adaptive Large-Neighbourhood ASP Optimiser (Extended Abstract) / Eiter, T., Geibinger, T., Higuera, N., Musliu, N., Oetsch, J., & Stepanova, D. (2022). ALASPO: An Adaptive Large-Neighbourhood ASP Optimiser (Extended Abstract). In Proceedings of the 5th Workshop on Trends and Applications of Answer Set Programming. 5th Workshop on Trends and Applications of Answer Set Programming, Vienna, Austria.
  • Large-Neighbourhood Search for Optimisation in Answer-Set Solving (Extended Abstract) / Eiter, T., Geibinger, T., Higuera Ruiz, N., Musliu, N., Oetsch, J., & Stepanova, D. (2022). Large-Neighbourhood Search for Optimisation in Answer-Set Solving (Extended Abstract). In Proceedings of the 38th International Conference on Logic Programming. 38th International Conference on Logic Programming, Haifa, Israel. Open Publishing Association. http://hdl.handle.net/20.500.12708/139851
  • Large-Neighbourhood Search for Optimisation in Answer-Set Solving / Eiter, T., Geibinger, T., Higuera Ruiz, N., Musliu, N., Oetsch, J., & Stepanova, D. (2022). Large-Neighbourhood Search for Optimisation in Answer-Set Solving. In Proceedings of the 36th AAAI Conference on Artificial Intelligence (pp. 5616–5625). AAAI Press. https://doi.org/10.1609/aaai.v36i5.20502
  • An Open Challenge for Exact Job Scheduling with Reticle Batching in Photolithography / Eiter, T., Geibinger, T., Gisbrecht, A., Higuera Ruiz, N. N., Musliu, N., Oetsch, J., & Stepanova, D. (2022). An Open Challenge for Exact Job Scheduling with Reticle Batching in Photolithography. In KEPS 2022 Workshop on Knowledge Engineering for Planning and Scheduling. Workshop on Knowledge Engineering for Planning and Scheduling, Singapore. http://hdl.handle.net/20.500.12708/139763
  • A Confidence-Based Interface for Neuro-Symbolic Visual Question Answering / Eiter, T., Oetsch, J., Pritz, M., & Higuera Ruiz, N. N. (2022, February 28). A Confidence-Based Interface for Neuro-Symbolic Visual Question Answering [Poster Presentation]. First International Workshop on Combining Learning and Reasoning: Programming Languages, Formalisms, and Representations (CLeaR 2022), Vancouver, Canada. http://hdl.handle.net/20.500.12708/146112
  • ALASPO: An Adaptive Large-Neighbourhood ASP Optimiser / Eiter, T., Geibinger, T., Higuera, N., Musliu, N., Oetsch, J., & Stepanova, D. (2022). ALASPO: An Adaptive Large-Neighbourhood ASP Optimiser. In G. Kern-Isberner, G. Lackemeyer, & T. Meyer (Eds.), Proceedings of the 19th International Conference on Principles of Knowledge Representation and Reasoning — Applications and Systems (pp. 565–569). IJCAI Organization. https://doi.org/10.24963/kr.2022/58
  • A Neuro-Symbolic ASP Pipeline for Visual Question Answering / Eiter, T., Higuera Ruiz, N. N., Oetsch, J., & Pritz, M. (2022). A Neuro-Symbolic ASP Pipeline for Visual Question Answering. Theory and Practice of Logic Programming, 22(5), 739–754. https://doi.org/10.1017/S1471068422000229