output
20062025
most citedDynamical Variational Autoencoders: A Comprehensive Review

169 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing 2025 · cs.LGShow all

2 papers · 2 filters

cs.LG2025

How Foundational are Foundation Models for Time Series Forecasting?

Nouha Karaouli, Denis Coquenet, Elisa Fromont +2

Foundation Models are designed to serve as versatile embedding machines, with strong zero shot capabilities and superior generalization performance when fine-tuned on diverse downs…

cs.LG2025

Foundation vs. Specialized Models: Evaluating Catastrophic Forgetting in Continual Time Series Forecasting

Nouha Karaouli, Denis Coquenet, Elisa Fromont +2

While Time Series Foundation Models (TSFMs) excel in zero-shot tasks, their behavior under continual fine tuning is poorly understood. We present the first systematic study of cata…