arXiv AI By Cassandra Yang, Yufan Tang

Geometry-Conditioned Fixed-Scaffold Encoders for Time-Warp Robust Sequence Retrieval

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The paper introduces GeoPatch, a fixed‑scaffold patch encoder that decouples token support from signal geometry for time‑warp robust sequence retrieval. By using geometry‑derived descriptors (slope, curvature, acceleration, affine‑residual, confidence) as continuous conditioning variables, GeoPatch prevents patch boundary drift while still allowing geometry to modulate embeddings. Experiments on ECG, speech, and multivariate time‑series data show that GeoPatch improves early‑rank retrieval under timing variation and highlights a trade‑off between local surface matching and strict non‑overlap retrieval.

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arXiv AI
Sep 24

TEMPS: Temporal Sentence Embeddings for Temporal Information Retrieval

The paper introduces TEMPS, a modular temporal branch that enhances semantic retrievers by adding a temporal scoring component. TEMPS resolves anchored temporal expressions into intervals, matches them to Gaussian distributions, and trains an anchor-date-conditioned encoder using grounding supervision without hand‑labeled data. On three temporal benchmarks, TEMPS improves MRR across all tested backbones and raises R@1 from 19.92 to 25.39 on the TS‑Retriever, surpassing prior temporal state‑of‑the‑art methods.

By Mourad Hassani, Julien Romero, Amel Bouzeghoub, Christian Jacquelinet