Proposes Change Rules for sequential ordered-tuple changes and CR-Miner algorithm for their discovery, claiming 40-50% runtime gains over baselines.
Maximilian Seitzer, Arash Tavakoli, Dimitrije Antic, and Georg Martius
3 Pith papers cite this work. Polarity classification is still indexing.
3
Pith papers citing it
years
2026 3representative citing papers
Fixed quantum reservoir with quantized Elastic Net readout enables accurate short-term energy load forecasting under resource constraints and noise, preserving performance at 6-bit precision on Tetouan and Spain datasets.
Single-seed CRPS estimates in limited-data BDL show high variance and peaks for heteroscedastic methods, with local variance correlating above 0.96 to single-seed error.
citing papers explorer
-
Data Profiling for Change Rules
Proposes Change Rules for sequential ordered-tuple changes and CR-Miner algorithm for their discovery, claiming 40-50% runtime gains over baselines.
-
Quantum Reservoir Computing for Short-Term Power Load Forecasting in Resource-Constrained Energy Systems
Fixed quantum reservoir with quantized Elastic Net readout enables accurate short-term energy load forecasting under resource constraints and noise, preserving performance at 6-bit precision on Tetouan and Spain datasets.
-
A Tale of Two Variances: When Single-Seed Benchmarks Fail in Bayesian Deep Learning
Single-seed CRPS estimates in limited-data BDL show high variance and peaks for heteroscedastic methods, with local variance correlating above 0.96 to single-seed error.