List your company

Multivariate Time Series Forecasting on ZafNoo Regular MTS

0.4101MAEPDF
0.397660.481630.56560.64957Jun 2, 2026

Evaluation results

MethodLinks
PDFType=Regular MTS2026.060.4101—
TiWeaverType=Regular MTS2026.060.4173—
TimeMosaicType=Regular MTS2026.060.4185—
PatchTSTType=Regular MTS2026.060.4188—
iTransformerType=Regular MTS2026.060.4245—
GraFITiType=Regular MTS2026.060.461—
tPatchGNNType=Regular MTS2026.060.4685—
mTANDType=Regular MTS2026.060.4952—
Hi-PatchType=Regular MTS2026.060.5083—
NeuralFlowsType=Regular MTS2026.060.5277—
TimesNetType=Regular MTS2026.060.5484—
APNType=Regular MTS2026.060.6373—
[30]Type=Regular MTS2026.060.6466—
FEDformerType=Regular MTS2026.060.6507—
PrimeNetType=Regular MTS2026.060.7211—
[30]2026.06—0.8605
APN2026.06—0.7312
FEDformer2026.06—0.791
GraFITi2026.06—0.4878
Hi-Patch2026.06—0.5549
iTransformer2026.06—0.4832
mTAND2026.06—0.5532
NeuralFlows2026.06—0.5715
PatchTST2026.06—0.4724
PDF2026.06—0.4616
PrimeNet2026.06—0.891
TimeMosaic2026.06—0.4674
TimesNet2026.06—0.6508
TiWeaver2026.06—0.4648
tPatchGNN2026.06—0.4946