List your company

Time Series Imputation on ETTm1

0.002MSEMSTN-Transformer
-0.000960.019020.0390.05898Feb 23, 2023Sep 15, 2023Apr 6, 2024Oct 27, 2024May 19, 2025Dec 9, 2025Jul 2, 2026

Evaluation results

MethodLinks
MSTN-TransformerMask R.=12.5%2025.110.0020.009—
MSTN-BiLSTMMask R.=12.5%2025.110.0030.011—
MSTN-TransformerMask R.=Avg2025.110.0050.026—
MSTN-BiLSTMMask R.=Avg2025.110.0070.027—
Bridge-TS-2Ratio=12.5%2025.120.0160.084—
Non-stationaryRatio=12.5%2025.120.0170.087—
TimesNetRatio=12.5%2025.120.0180.089—
UniTS-STtraining=single-task separately trained from scratch2024.020.0190.087—
Bridge-TS-2Ratio=25.0%2025.120.0190.092—
Non-stationaryRatio=25.0%2025.120.0190.093—
GTMAveraging=varying data missing ratios, Protocol=point-wise missing ratios2025.020.0210.096—
TimesNetRatio=25.0%2025.120.0220.097—
T1Point Missing Ratio=Avg2026.020.0220.091—
T1Scenario=Point missing, Missing Ratios=0.1, 0.3, 0.5, 0.7 (avg), Sequence Length=962026.020.0220.091—
Bridge-TS-2Ratio=37.5%2025.120.0240.101—
Non-stationaryRatio=37.5%2025.120.0240.101—
TSPulseMasking Strategy=Hybrid, Evaluation Protocol=Finetuned2025.050.024——
TimesNettraining=single-task separately trained from scratch2024.020.0270.107—
TimesNetMask Ratio=Avg2024.110.0270.107—
TimesNetRatio=37.5%2025.120.0270.108—
TimesNetSequence Length=96, Mask Ratios=12.5%, 25%, 37.5%, 50%2023.020.0270.107—
TimesNetAveraging=varying data missing ratios, Protocol=point-wise missing ratios2025.020.0270.107—
GPT4TSMask Ratio=Avg2024.110.0280.105—
GPT2(3)Number of Layers=3, Sequence Length=96, Mask Ratios=12.5%, 25%, 37.5%, 50%2023.020.0280.105—
GPT4TSAveraging=varying data missing ratios, Protocol=point-wise missing ratios2025.020.0280.105—
Bridge-TS-2Ratio=50.0%2025.120.0290.112—
Non-stationaryRatio=50.0%2025.120.0290.112—
Peri-midFormerMask Ratio=12.5%2024.110.030.108—
Peri-midFormerMask Ratio=25%2024.110.0310.112—
TimesNetRatio=50.0%2025.120.0330.118—
Peri-midFormerMask Ratio=37.5%2024.110.0340.117—
Peri-midFormerMask Ratio=Avg2024.110.0340.116—
FEDformerRatio=12.5%2025.120.0340.131—
CSDIPoint Missing Ratio=Avg2026.020.0340.114—
CSDIScenario=Point missing, Missing Ratios=0.1, 0.3, 0.5, 0.7 (avg), Sequence Length=962026.020.0340.114—
TSPulseMasking Strategy=Block, Evaluation Protocol=Finetuned2025.050.035——
Station.training=single-task separately trained from scratch2024.020.0360.126—
Non-stationary TransformerMask Ratio=Avg2024.110.0360.126—
StationarySequence Length=96, Mask Ratios=12.5%, 25%, 37.5%, 50%2023.020.0360.126—
StationaryMask R.=Avg2025.110.0360.126—
PatchTSTScenario=Point missing, Missing Ratios=0.1, 0.3, 0.5, 0.7 (avg), Sequence Length=962026.020.0380.119—
ZEUSProtocol=Zero-shot, Masking Strategy=Random2026.070.0380.116—
ModernTCNScenario=Point missing, Missing Ratios=0.1, 0.3, 0.5, 0.7 (avg), Sequence Length=962026.020.040.124—
HGTS-FormerSequence Length=1024, Masking Ratios=12.5%, 25%, 37.5%, 50% (Average)2025.080.040.126—
Peri-midFormerMask Ratio=50%2024.110.0410.125—
TimeMixer++Publication Year=2025, Sequence Length=1024, Masking Ratios=12.5%, 25%, 37.5%, 50% (Average)2025.080.0410.127—
TimesNetScenario=Point missing, Missing Ratios=0.1, 0.3, 0.5, 0.7 (avg), Sequence Length=962026.020.0450.13—
PatchTSTMask Ratio=Avg2024.110.0470.14—
PSW-IScenario=Point missing, Missing Ratios=0.1, 0.3, 0.5, 0.7 (avg), Sequence Length=962026.020.0470.131—
PatchTSTSequence Length=96, Mask Ratios=12.5%, 25%, 37.5%, 50%2023.020.0470.14—
PatchTSTAveraging=varying data missing ratios, Protocol=point-wise missing ratios2025.020.0470.14—
FEDformerPublication Year=2022b, Sequence Length=1024, Masking Ratios=12.5%, 25%, 37.5%, 50% (Average)2025.080.0480.152—
TimesNetPublication Year=2023, Sequence Length=1024, Masking Ratios=12.5%, 25%, 37.5%, 50% (Average)2025.080.0490.147—
LogTranstraining=single-task separately trained from scratch2024.020.050.154—
ReformerMasking Ratio=Average (12.5%, 25%, 37.5%, 50%), Publication Year=20202026.020.050.154—
Auto.training=single-task separately trained from scratch2024.020.0510.15—
AutoformerMask Ratio=Avg2024.110.0510.15—
SaitsPoint Missing Ratio=Avg2026.020.0510.127—
SAITSScenario=Point missing, Missing Ratios=0.1, 0.3, 0.5, 0.7 (avg), Sequence Length=962026.020.0510.127—
AutoformerSequence Length=96, Mask Ratios=12.5%, 25%, 37.5%, 50%2023.020.0510.15—
ModernTCNProtocol=Supervised, Masking Strategy=Random2026.070.0510.152—
FEDformerRatio=25.0%2025.120.0520.162—
TimeMixer++Scenario=Point missing, Missing Ratios=0.1, 0.3, 0.5, 0.7 (avg), Sequence Length=962026.020.0520.136—
Non-Stationary TransformerMasking Strategy=Hybrid, Evaluation Protocol=Supervised2025.050.053——
TimesNetProtocol=Supervised, Masking Strategy=Random2026.070.0530.152—
MAS4TSMasking Ratio=Average (12.5%, 25%, 37.5%, 50%), Publication Year=20242026.020.0540.147—
Re.training=single-task separately trained from scratch2024.020.0550.166—
ReformerMask Ratio=Avg2024.110.0550.166—
PatchTSTMissing ratios=0.5 and 0.72026.020.0550.153—
ReformerSequence Length=96, Mask Ratios=12.5%, 25%, 37.5%, 50%2023.020.0550.166—
PWS-IMissing ratios=0.5 and 0.72026.020.0570.146—
TSPulseMasking Strategy=Hybrid, Evaluation Protocol=Zero-shot2025.050.057——
DlinearRatio=12.5%2025.120.0580.164—
PatchTSTProtocol=Supervised, Masking Strategy=Random2026.070.0580.157—
MICNPublication Year=2023a, Sequence Length=1024, Masking Ratios=12.5%, 25%, 37.5%, 50% (Average)2025.080.0590.17—
TimesNetMasking Strategy=Hybrid, Evaluation Protocol=Supervised2025.050.059——
FreTSMissing ratios=0.5 and 0.72026.020.0610.168—
FED.training=single-task separately trained from scratch2024.020.0620.177—
FEDformerMask Ratio=Avg2024.110.0620.177—
FEDformerMasking Ratio=Average (12.5%, 25%, 37.5%, 50%), Publication Year=20222026.020.0620.177—
FEDformerSequence Length=96, Mask Ratios=12.5%, 25%, 37.5%, 50%2023.020.0620.177—
FedformerAveraging=varying data missing ratios, Protocol=point-wise missing ratios2025.020.0620.177—
iTransformerScenario=Point missing, Missing Ratios=0.1, 0.3, 0.5, 0.7 (avg), Sequence Length=962026.020.0630.159—
ZEUSProtocol=Zero-shot, Masking Strategy=Block2026.070.0640.142—
GPT4TSProtocol=Supervised, Masking Strategy=Random2026.070.0650.169—
HiSNOTMissing ratios=0.5 and 0.72026.020.0660.15—
iTransformerRatio=12.5%2025.120.0670.181—
iTransformerMissing ratios=0.5 and 0.72026.020.0680.173—
BRITSScenario=Point missing, Missing Ratios=0.1, 0.3, 0.5, 0.7 (avg), Sequence Length=962026.020.070.166—
Linear InterpolationMasking Strategy=Hybrid, Evaluation Protocol=Statistical2025.050.07——
In.training=single-task separately trained from scratch2024.020.0710.188—
InformerMask Ratio=Avg2024.110.0710.188—
InformerMasking Ratio=Average (12.5%, 25%, 37.5%, 50%), Publication Year=20212026.020.0710.188—
InformerSequence Length=96, Mask Ratios=12.5%, 25%, 37.5%, 50%2023.020.0710.188—
InformerAveraging=varying data missing ratios, Protocol=point-wise missing ratios2025.020.0710.188—
TimeMixerPublication Year=2024b, Sequence Length=1024, Masking Ratios=12.5%, 25%, 37.5%, 50% (Average)2025.080.0720.178—
ModernTCNProtocol=Supervised, Masking Strategy=Block2026.070.0740.181—
iTransformerPublication Year=2023, Sequence Length=1024, Masking Ratios=12.5%, 25%, 37.5%, 50% (Average)2025.080.0750.177—
DLinearPublication Year=2023, Sequence Length=1024, Masking Ratios=12.5%, 25%, 37.5%, 50% (Average)2025.080.0760.191—
Non-Stationary TransformerMasking Strategy=Block, Evaluation Protocol=Supervised2025.050.076——