{"ID":2922006,"CreatedAt":"2026-06-02T02:42:49.606572591Z","UpdatedAt":"2026-06-02T07:21:46.982601397Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2606.00584","arxiv_id":"2606.00584","title":"Spectra-Guided Neural Tucker Factorization","abstract":"This paper proposes Spectra-Guided Neural Tucker Factorization (SG-NTF) for High-Dimensional and Incomplete (HDI) tensor completion. Circumventing discrete representational limits, SG-NTF maps scalar timestamps into a continuous spectral space to abstract temporal periodicities. Concurrently, a Spatio-Temporal Co-Gating (STCG) mechanism explicitly filters latent interactions via multiplicative modulation on spatiotemporal contexts. Evaluations on real-world HDI tensors verify that SG-NTF maintains competitive completion accuracy with parameter efficiency.","short_abstract":"This paper proposes Spectra-Guided Neural Tucker Factorization (SG-NTF) for High-Dimensional and Incomplete (HDI) tensor completion. Circumventing discrete representational limits, SG-NTF maps scalar timestamps into a continuous spectral space to abstract temporal periodicities. Concurrently, a Spatio-Temporal Co-Gatin...","url_abs":"https://arxiv.org/abs/2606.00584","url_pdf":"https://arxiv.org/pdf/2606.00584v1","authors":"[\"Fusheng Wang\",\"Yikai Hou\"]","published":"2026-05-30T07:24:54Z","proceeding":"stat.ML","tasks":"[\"stat.ML\",\"cs.LG\"]","methods":"[]","has_code":false}