Angel Daruna
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    • UNCERTAINTY ESTIMATION FOR NEURAL NETWORKS USING GRAPHICAL REPRESENTATION
    • Enabling Scalable Mineral Exploration: Self-Supervision and Explainability
    • GFM4MPM: Towards Geospatial Foundation Models for Mineral Prospectivity Mapping
    • A survey of semantic reasoning frameworks for robotic systems
    • Learning instance-level n-ary semantic knowledge at scale for robots operating in everyday environments
    • Uncertainty Propagation through Trained Deep Neural Networks Using Factor Graphs
    • Explainable knowledge graph embedding: Inference reconciliation for knowledge inferences supporting robot actions
    • Continual Learning of Knowledge Graph Embeddings
    • Towards robust one-shot task execution using knowledge graph embeddings
    • Cage: Context-aware grasping engine
    • Path ranking with attention to type hierarchies
    • Situated bayesian reasoning framework for robots operating in diverse everyday environments
    • Robocse: Robot common sense embedding
    • Taking recoveries to task: Recovery-driven development for recipe-based robot tasks
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UNCERTAINTY ESTIMATION FOR NEURAL NETWORKS USING GRAPHICAL REPRESENTATION

Nov 1, 2024·
Han-Pang Chiu
,
Yi Yao
,
Angel Daruna
,
Yunye Gong
,
Abhinav Rajvanshi
,
Giedrius Burachas
· 0 min read
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Last updated on Nov 1, 2024
Enabling Scalable Mineral Exploration: Self-Supervision and Explainability Jan 1, 2024 →

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