23 citations · 92 across the 32 of their papers we have counts for
5 papers · 1 filter
SIL: Symbiotic Interactive Learning for Language-Conditioned Human-Agent Co-Adaptation
Linus Nwankwo, Bjoern Ellensohn, Christian Rauch +1
Today's autonomous agents, largely driven by foundation models (FMs), can understand natural language instructions and solve long-horizon tasks with human-like reasoning. However,…
Rock Classification through Knowledge-Enhanced Deep Learning: A Hybrid Mineral-Based Approach
Iye Szin Ang, Martin Johannes Findl, Elisabeth Hauzinger +5
Automated rock classification from mineral composition presents a significant challenge in geological applications, with critical implications for material recycling, resource mana…
Privacy-Aware Lifelong Learning
Ozan Özdenizci, Elmar Rueckert, Robert Legenstein
Lifelong learning algorithms enable models to incrementally acquire new knowledge without forgetting previously learned information. Contrarily, the field of machine unlearning foc…
ReLI: Cross-Lingual Language-to-Action Grounding for Human-Robot Interaction
Linus Nwankwo, Bjoern Ellensohn, Ozan Özdenizci +1
Adapting autonomous agents for real-world industrial, domestic, and other daily tasks is currently gaining momentum. However, in global or cross-lingual application contexts, the a…
Amending CALPHAD databases using a neural network for predicting mixing enthalpy of liquids
Clement Vincely, Amin Reiners-Sakic, Vedant Dave +4
In order to establish the thermodynamic stability of a system, knowledge of its Gibbs free energy is essential. Most often, the Gibbs free energy is predicted within the CALPHAD fr…