XCTFormer is a channel-dependent transformer that uses token-to-token cross-relational attention and an optional compression plugin to capture cross-channel and cross-time dependencies, reporting SOTA imputation results on three benchmarks.
TiRex: Zero-Shot Forecasting Across Long and Short Horizons with Enhanced In-Context Learning
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XCTFormer: Leveraging Cross-Channel and Cross-Time Dependencies for Enhanced Time-Series Analysis
XCTFormer is a channel-dependent transformer that uses token-to-token cross-relational attention and an optional compression plugin to capture cross-channel and cross-time dependencies, reporting SOTA imputation results on three benchmarks.