2 papers
cs.LG2026
TMAML: Temporal Model-Agnostic Meta-Learning for Cold-Start Time Series Forecasting
Wannes Janssens, Matthias Bogaert, Dirk Van den Poel
Cold-start forecasting, the task of forecasting a time series with little to no historical data, is a common challenge. Addressing it requires approaches that learn quickly from fe…
cs.CL2026
Digital Pantheon: Simulating and Auditing Coalition Formation with LLM Agents
Dylan Van Mulders, Matthias Bogaert, Dirk Van den Poel
The formation of political coalitions is a complex negotiation driven by both concrete policy objectives and deep-seated ideological convictions. While Large Language Models (LLMs)…