Noise-aware ML pipeline for large-scale agricultural yield prediction using PySpark and LightGBM, with feature and label noise simulation, mitigation, and distributed training.
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Updated
Mar 13, 2026 - Python
Noise-aware ML pipeline for large-scale agricultural yield prediction using PySpark and LightGBM, with feature and label noise simulation, mitigation, and distributed training.
Runtime-aware QAOA benchmark for constrained J1-J2 Ising ground-state search on NISQ hardware.
Topological Noise Profiling for Superconducting Processors
Noise-aware QAOA benchmarks for Max-Cut with mitigation experiments
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