3 papers
cs.LG2026
TradeFM: A Generative Foundation Model for Trade-flow and Market Microstructure
Maxime Kawawa-Beaudan, Srijan Sood, Kassiani Papasotiriou +2
Foundation models have transformed domains from language to genomics by learning general-purpose representations from large-scale, heterogeneous data. We introduce TradeFM, a 524M-…
cs.LG2024
Behavioral Sequence Modeling with Ensemble Learning
Maxime Kawawa-Beaudan, Srijan Sood, Soham Palande +3
We investigate the use of sequence analysis for behavior modeling, emphasizing that sequential context often outweighs the value of aggregate features in understanding human behavi…
cs.LG2024
Ensemble Methods for Sequence Classification with Hidden Markov Models
Maxime Kawawa-Beaudan, Srijan Sood, Soham Palande +3
We present a lightweight approach to sequence classification using Ensemble Methods for Hidden Markov Models (HMMs). HMMs offer significant advantages in scenarios with imbalanced…