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Found 5 papers, 4 papers with code
Pixel to Elevation: Learning to Predict Elevation Maps at Long Range using Images for Autonomous Offroad Navigation
We experimentally validate the applicability of our proposed approach for autonomous offroad robotic navigation in complex and unstructured terrain using real-world offroad driving data.
InGram: Inductive Knowledge Graph Embedding via Relation Graphs
In this paper, we propose an INductive knowledge GRAph eMbedding method, InGram, that can generate embeddings of new relations as well as new entities at inference time.
Representation Learning on Hyper-Relational and Numeric Knowledge Graphs with Transformers
By learning compact representations of triplets and qualifiers and feeding them into the transformers, we reduce the computation cost of using transformers.
Learning Representations of Bi-level Knowledge Graphs for Reasoning beyond Link Prediction
We define a bi-level knowledge graph that consists of the base-level and the higher-level triplets.
Model Parameter Identification via a Hyperparameter Optimization Scheme for Autonomous Racing Systems
In this letter, we propose a model parameter identification method via a hyperparameter optimization scheme (MI-HPO).
