3 papers
cs.AI2026
Grounding Large Language Models in Reaction Knowledge Graphs for Synthesis Retrieval
Olga Bunkova, Lorenzo Di Fruscia, Sophia Rupprecht +3
Large Language Models (LLMs) can aid synthesis planning in chemistry, but standard prompting methods often yield hallucinated or outdated suggestions. We study LLM interactions wit…
cs.LG2024
PATE: Proximity-Aware Time series anomaly Evaluation
Ramin Ghorbani, Marcel J. T. Reinders, David M. J. Tax
Evaluating anomaly detection algorithms in time series data is critical as inaccuracies can lead to flawed decision-making in various domains where real-time analytics and data-dri…
cs.LG2024
RESTAD: REconstruction and Similarity based Transformer for time series Anomaly Detection
Ramin Ghorbani, Marcel J. T. Reinders, David M. J. Tax
Anomaly detection in time series data is crucial across various domains. The scarcity of labeled data for such tasks has increased the attention towards unsupervised learning metho…