Author

Manikandan Ravikiran

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#machine learning Preprint Oct 2026

NV-Tesseract-AD: Curriculum-Enhanced Conditional Diffusion for Multivariate Time-Series Anomaly Detection

We propose NV-Tesseract-AD, a curriculum learning-enhanced conditional diffusion framework for multivariate time-series anomaly detection. Our central hypothesis is that reconstruction difficulty can be explicitly structured along two complementary axes, masking severity and diffusion noise level, and that training fro...

Aditi Gautam, Manikandan Ravikiran, Saira Qureshi et al. · 0 citations

Preprint Aug 2026

NVExplain: Explaining Time Series Forecasting with Latent Trajectory Analysis and Structure-Preserving Surrogates

A model-agnostic explainability framework that explains forecasting predictions by attributing each forecast horizon to temporally relevant historical lags is proposed, and results show that the semantic-flow variant achieves competitive or superior faithfulness compared to standard post-hoc baselines, while being subs...

Muyang Li, Manikandan Ravikiran, Aditi Gautam · 0 citations