Md Mahmuddun Nabi Murad — accepted AI-conference papers

2026

Cluster-Aware Causal Mixer for Online Anomaly Detection in Multivariate Time Series

ICML 2026poster

Early and accurate detection of anomalies in time-series data is critical due to the substantial risks associated with false or missed detections. While MLP-based mixer models have shown promise in time-series analysis, they do not maintain temporal causality during data processing. Moreover, real-w…

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2025

WPMixer: Efficient Multi-Resolution Mixing for Long-Term Time Series Forecasting

Md Mahmuddun Nabi Murad, Mehmet Aktukmak, Yasin Yilmaz

AAAI 2025technical

Time series forecasting is crucial for various applications, such as weather forecasting, power load forecasting, and financial analysis. In recent studies, MLP-mixer models for time series forecasting have been shown as a promising alternative to transformer-based models. However, the performance o…

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