3 papers
cs.LG2026
When Does Retrieval Help Time-Series Forecasting?
Mert Onur Cakiroglu, Elham Buxton, Mehmet Dalkilic +1
Retrieval plug-ins supply a deep forecaster with information its lookback window cannot carry. Published evaluations report consistent gains, and each credits its own mechanism. We…
cs.CV2026
LGQ: Learnable Geometric Quantization for Image Tokenization
Idil Bilge Altun, Mert Onur Cakiroglu, Elham Buxton +2
Recent collapse-free quantizers such as FSQ achieve stable training by replacing the learnable codebook with an engineered geometry: a fixed scalar grid whose structure is dictated…
cs.LG2025
Multivariate de Bruijn Graphs: A Symbolic Graph Framework for Time Series Forecasting
Mert Onur Cakiroglu, Idil Bilge Altun, Mehmet Dalkilic +2
Time series forecasting remains a challenging task for foundation models due to temporal heterogeneity, high dimensionality, and the lack of inherent symbolic structure. In this wo…