:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Schäfer, Patrick, Leser, Ulf
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2410.12293
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Motiflets -- Simple and Accurate Detection of Motifs in Time Series
by: Schäfer, Patrick, et al.
Published: (2022)

Raising the ClaSS of Streaming Time Series Segmentation
by: Ermshaus, Arik, et al.
Published: (2023)

CLaP -- State Detection from Time Series
by: Ermshaus, Arik, et al.
Published: (2025)

Bayesian Symbolic Regression via Posterior Sampling
by: Bomarito, Geoffrey F., et al.
Published: (2025)

Boundary Regression for Leitmotif Detection in Music Audio
by: Lee, Sihun, et al.
Published: (2025)

Matrix Profile for Anomaly Detection on Multidimensional Time Series
by: Yeh, Chin-Chia Michael, et al.
Published: (2024)

Discovering Mixtures of Structural Causal Models from Time Series Data
by: Varambally, Sumanth, et al.
Published: (2023)

Guaranteed Multidimensional Time Series Prediction via Deterministic Tensor Completion Theory
by: Shu, Hao, et al.
Published: (2025)

Transforming Multidimensional Time Series into Interpretable Event Sequences for Advanced Data Mining
by: Yan, Xu, et al.
Published: (2024)

Manifold-regularised Large-Margin $\ell_p$-SVDD for Multidimensional Time Series Anomaly Detection
by: Arashloo, Shervin Rahimzadeh
Published: (2025)

TIDMAD: Time Series Dataset for Discovering Dark Matter with AI Denoising
by: Fry, J. T., et al.
Published: (2024)

Explainable Load Forecasting with Covariate-Informed Time Series Foundation Models
by: Hertel, Matthias, et al.
Published: (2026)

Inferring the Most Similar Variable-length Subsequences between Multidimensional Time Series
by: Rattanakornphan, Thanadej, et al.
Published: (2025)

Fast and Exact Similarity Search in less than a Blink of an Eye
by: Schäfer, Patrick, et al.
Published: (2024)

Exact Recovery of Non-Random Missing Multidimensional Time Series via Temporal Isometric Delay-Embedding Transform
by: Shu, Hao, et al.
Published: (2025)

Discovering Entity-Conditioned Lag Heterogeneity: A Lag-Gated Neural Audit Framework for Panel Time Series
by: Xu, Andi
Published: (2026)

Learning to Discover at Test Time
by: Yuksekgonul, Mert, et al.
Published: (2026)

Deterministic Reservoir Computing for Chaotic Time Series Prediction
by: Viehweg, Johannes, et al.
Published: (2025)

Use of Prior Knowledge to Discover Causal Additive Models with Unobserved Variables and its Application to Time Series Data
by: Maeda, Takashi Nicholas, et al.
Published: (2024)

Bake off redux: a review and experimental evaluation of recent time series classification algorithms
by: Middlehurst, Matthew, et al.
Published: (2023)

HiMAE: Hierarchical Masked Autoencoders Discover Resolution-Specific Structure in Wearable Time Series
by: Lee, Simon A., et al.
Published: (2025)

TimeLDM: Latent Diffusion Model for Unconditional Time Series Generation
by: Qian, Jian, et al.
Published: (2024)

Discovering Sparse Recovery Algorithms Using Neural Architecture Search
by: Yubeaton, Patrick, et al.
Published: (2025)

Linear Transformers Implicitly Discover Unified Numerical Algorithms
by: Lutz, Patrick, et al.
Published: (2025)

CAARL: In-Context Learning for Interpretable Co-Evolving Time Series Forecasting
by: Tajeuna, Etienne, et al.
Published: (2026)

Protecting Federated Learning from Extreme Model Poisoning Attacks via Multidimensional Time Series Anomaly Detection
by: Gabrielli, Edoardo, et al.
Published: (2023)

Leitmotifs in Life Stories
by: Bullik, Ramona
Published: (2024)

Interpreting Outliers in Time Series Data through Decoding Autoencoder
by: Knab, Patrick, et al.
Published: (2024)

Kernel-U-Net: Multivariate Time Series Forecasting using Custom Kernels
by: You, Jiang, et al.
Published: (2024)

Robust Time Series Forecasting with Non-Heavy-Tailed Gaussian Loss-Weighted Sampler
by: You, Jiang, et al.
Published: (2024)

EvoMorph: Counterfactual Explanations for Continuous Time-Series Extrinsic Regression Applied to Photoplethysmography
by: Ceylan, Mesut, et al.
Published: (2026)

Time-Aware Knowledge Representations of Dynamic Objects with Multidimensional Persistence
by: Coskunuzer, Baris, et al.
Published: (2024)

BELHD: Improving Biomedical Entity Linking with Homonoym Disambiguation
by: Garda, Samuele, et al.
Published: (2024)

Knowledge-augmented Pre-trained Language Models for Biomedical Relation Extraction
by: Sänger, Mario, et al.
Published: (2025)

Strategies to Measure Energy Consumption Using RAPL During Workflow Execution on Commodity Clusters
by: Thamm, Philipp, et al.
Published: (2025)

OpenTSLM: Time-Series Language Models for Reasoning over Multivariate Medical Text- and Time-Series Data
by: Langer, Patrick, et al.
Published: (2025)

TOTEM: TOkenized Time Series EMbeddings for General Time Series Analysis
by: Talukder, Sabera, et al.
Published: (2024)

Evaluating Time Series Foundation Models on Noisy Periodic Time Series
by: Gupta, Syamantak Datta
Published: (2025)

Latent Generative Modeling of Random Fields from Limited Training Data
by: Warner, James E., et al.
Published: (2025)

GTM: A General Time-series Model for Enhanced Representation Learning of Time-Series Data
by: He, Cheng, et al.
Published: (2025)