2 papers
stat.ML2025
How Patterns Dictate Learnability in Sequential Data
Mario Morawski, Anais Despres, Rémi Rehm
Sequential data - ranging from financial time series to natural language - has driven the growing adoption of autoregressive models. However, these algorithms rely on the presence…
cs.LG2025
Winner-takes-all for Multivariate Probabilistic Time Series Forecasting
Adrien Cortés, Rémi Rehm, Victor Letzelter
We introduce TimeMCL, a method leveraging the Multiple Choice Learning (MCL) paradigm to forecast multiple plausible time series futures. Our approach employs a neural network with…