Publications

(2024). UNCERTAINTY ESTIMATION FOR NEURAL NETWORKS USING GRAPHICAL REPRESENTATION.
(2024). GFM4MPM: Towards Geospatial Foundation Models for Mineral Prospectivity Mapping. Proceedings of the 32nd ACM International Conference on Advances in Geographic Information Systems..
(2024). Enabling Scalable Mineral Exploration: Self-Supervision and Explainability. 2024 IEEE International Conference on Big Data (BigData).
(2023). Uncertainty Propagation through Trained Deep Neural Networks Using Factor Graphs. arXiv preprint arXiv:2312.05946.
(2023). Learning instance-level n-ary semantic knowledge at scale for robots operating in everyday environments. Autonomous Robots.
(2023). A survey of semantic reasoning frameworks for robotic systems. Robotics and Autonomous Systems.
(2022). Explainable knowledge graph embedding: Inference reconciliation for knowledge inferences supporting robot actions. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
(2021). Towards robust one-shot task execution using knowledge graph embeddings. 2021 IEEE International Conference on Robotics and Automation (ICRA).
(2021). Continual Learning of Knowledge Graph Embeddings. IEEE Robotics and Automation Letters.
(2020). Situated bayesian reasoning framework for robots operating in diverse everyday environments. Robotics Research: The 18th International Symposium ISRR.