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cs.LG2026
Stochastic Parroting in Temporal Attention -- Regulating the Diagonal Sink
Victoria Hankemeier, Malte Schilling
Spatio-temporal models analyze spatial structures and temporal dynamics, which makes them prone to information degeneration among space and time. Prior literature has demonstrated…
cs.LG2025
Tailored Architectures for Time Series Forecasting: Evaluating Deep Learning Models on Gaussian Process-Generated Data
Victoria Hankemeier, Malte Schilling
Developments in Deep Learning have significantly improved time series forecasting by enabling more accurate modeling of complex temporal dependencies inherent in sequential data. T…