9 citations · 10 across the 4 of their papers we have counts for
4 papers
SuperF: Neural Implicit Fields for Multi-Image Super-Resolution
Sander Riisøen Jyhne, Christian Igel, Morten Goodwin +3
High-resolution imagery is often hindered by limitations in sensor technology, atmospheric conditions, and costs. Such challenges occur in satellite remote sensing, but also with h…
Knowledge-Informed Automatic Feature Extraction via Collaborative Large Language Model Agents
Henrik Bradland, Morten Goodwin, Vladimir I. Zadorozhny +1
The performance of machine learning models on tabular data is critically dependent on high-quality feature engineering. While Large Language Models (LLMs) have shown promise in aut…
A New HOPE: Domain-agnostic Automatic Evaluation of Text Chunking
Henrik Brådland, Morten Goodwin, Per-Arne Andersen +2
Document chunking fundamentally impacts Retrieval-Augmented Generation (RAG) by determining how source materials are segmented before indexing. Despite evidence that Large Language…
Exploring Effects of Hyperdimensional Vectors for Tsetlin Machines
Vojtech Halenka, Ahmed K. Kadhim, Paul F. A. Clarke +5
Tsetlin machines (TMs) have been successful in several application domains, operating with high efficiency on Boolean representations of the input data. However, Booleanizing compl…