most citedMamba4Cast: Efficient Zero-Shot Time Series Forecasting with State Space Models

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cs.LG2025

Does TabPFN Understand Causal Structures?

Omar Swelam, Lennart Purucker, Jake Robertson +3

Causal discovery is fundamental for multiple scientific domains, yet extracting causal information from real world data remains a significant challenge. Given the recent success on…

cs.LG2024★ 2 cited

Mamba4Cast: Efficient Zero-Shot Time Series Forecasting with State Space Models

Sathya Kamesh Bhethanabhotla, Omar Swelam, Julien Siems +2

This paper introduces Mamba4Cast, a zero-shot foundation model for time series forecasting. Based on the Mamba architecture and inspired by Prior-data Fitted Networks (PFNs), Mamba…