Author

Hugo Math

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#artificial intelligence Preprint Oct 2026

DES-JEPA: Learning a Shared Vocabulary for High-Dimensional Discrete Event Sequences

This work proposes two complementary modules, a joint-embedding predictive architecture that learns a shared discrete vocabulary from synthetic stochastic processes with unaligned event vocabularies and a discrete event sequence prior-fitted network that reuses the learned vocabulary for in-context next-event predictio...

Hugo Math, Maximilian Forstenhäusler, Christos Anagnostopoulos · 0 citations

#machine learning Preprint Sep 2026

seq2cause: One Autoregressive Backbone, Four Causal Discovery Tasks in Event Sequences

This work presents \textsc{Seq2Cause}, a unified framework that resolves all four regimes through a single shared primitive: a pretrained autoregressive model repurposed as an amortized conditional independence testing engine requiring no task-specific retraining.

Hugo Math · 0 citations