Temporal Learnability

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Period ending 2026-09-14

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A weekly snapshot of new work published in Temporal Learnability.

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  1. Continuous-Time Machine Learning: A Unified Mathematical Perspective

    Sep 15, 2026Waleed Razzaq, Yun-Sheng Zhao, Yun-Bo ZhaoMachine LearningEfficient Continual Learning

  2. CCMAN: Cognitive Instability-Aware Cross-Modal Attention Network for Interpretable Temporal Biomarkers of Verbal Fluency Speech

    Sep 13, 2026Madhurananda Pahar, Caitlin Illingworth, Dorota Braun +2Speaker IdentityTemporal Learnability

  3. A Later Test Set Is Not a New Domain: Pretraining Familiarity Survives a Contamination-Free Hold-Out

    Sep 9, 2026Mahdi Naser Moghadasi, Faezeh GhaderiTime Series Foundation ModelsModel Pretraining

  4. Distillation of Synthetic Data for Time Series Foundation Models

    Sep 9, 2026Niloy Biswas, Noureddine El KarouiTime Series Foundation ModelsSynthetic Data

  5. Learning Length-Extrapolatable Recurrent Models

    Sep 8, 2026Hanwen JiangRecurrent ModelEfficient Long-Context Inference

  6. Quantile-Led Feature Extraction for Multi-Horizon Predictive Maintenance in Industrial Manufacturing Systems

    Sep 7, 2026David J Poland, Daniele Ravi, Na HelianPredictive MaintenanceFeature Extraction

  7. Beyond Churn: Predicting Financial Fragmentation in Retail Banking with Temporal Machine Learning

    Aug 31, 2026Ananyaa Chopra, Brandon Xu, Brendan Yuen +2Churn PredictionBanking

  8. Foundation models for movement data: Are they ready for prime-time?

    Aug 13, 2026Alexander Bräuer, Benjamin Cauchi, Nils StrodthoffHuman Activity RecognitionFoundation Model

  9. REATS: LLM Reasoning-based Ensemble Learning for Adaptive Time Series Forecasting

    Aug 10, 2026Xu Zhang, Chang Xu, Hui Sun +5Time Series ForecastingEnsemble

  10. ChronoSSM: Training for Temporally Aware Representations in Autoregressive State Space Models

    Aug 10, 2026Adrien Schoen, Nachiketa Ratnakar Patil, Arjun Bhagoji +1Temporal LearnabilityAutoregressive Model

  11. ChronoState: Hidden Elapsed-Time Conditioning for Temporal-State Action Selection in Frozen-Backbone Language Models

    Aug 10, 2026Sam Siavoshian, Omar Ramadan, Amir K. Saeed +3ChronosTemporal Learnability

  12. Ground-Truth Neighborhood Regularization for Reinforcement Learning Post-Training of Time Series Foundation Models

    Aug 8, 2026Jianqi Zhang, Xingyu Zhang, Zeen Song +3Time Series Foundation ModelsReinforcement Learning Post-Training

  13. KReF: Training-Free Retrieval for Long-Term Time-Series Forecasting and Predictive Uncertainty

    Aug 7, 2026Yang Zhang, Rui SuPredictive UncertaintyTemporal Learnability

  14. Decoupling Perception from Description: Computation-Grounded Representation Alignment between Multivariate Time Series and Language

    Aug 5, 2026Xinran Feng, Yi Xie, Chao Zhang +4Time SeriesTemporal Learnability

  15. IMFACT: Counterfactual Explanations for Time Series via Intrinsic Mode Function Substitution

    Aug 5, 2026Udo Schlegel, Julian Rakuschek, Thomas Seidl +3Counterfactual ExplanationCounterfactual Reasoning

  16. TimeRLM: Recursive Language Models Enable Precise Anomaly Localization in Long-Context Time-Series

    Aug 4, 2026Nicolas Zumarraga, Lorenzo Steno, Ning Wang +9Time-Series Anomaly DetectionTime Series

  17. CastFSR: A Fast--Slow--Reflect Agentic Reasoning Framework for Context-Aware Time Series Forecasting

    Aug 4, 2026Xiaoyu Tao, Mingyue Cheng, Bokai Pan +6Contextual ReasoningTemporal Learnability

  18. The Label Defines the Timescale: Trait-State Limits of Temporal-Aggregate Learning

    Aug 3, 2026Xizhe ZhangTemporal LearnabilityFundamental Limits

  19. Sign Language Question Answering: A New Task, Benchmark, and Baseline for Sign Language Understanding

    Jul 30, 2026Shiwei Gan, Lichen Wang, Xiao Liu +4Sign Language TranslationTemporal Learnability

  20. Latent States in Neural Networks: Recovering the Temporal Structure of Drifting Data from Model Weights

    Jul 29, 2026Kevin GuanLatent StatesModel Weights

  21. Cross-Cohort Spectral-Temporal Dissociation in Frozen EEG Foundation-Model Representations

    Jul 23, 2026Marzieh ZareElectroencephalography Foundation ModelsTemporal Learnability

  22. MSBraM: A Multi-scale Self-supervised Brain Foundation Model for Hierarchical EEG Dynamics Learning

    Jul 23, 2026Tao Zhou, Jing Han, Lingyu Shu +1Electroencephalography Foundation ModelsElectroencephalogram

  23. Post-Training in Time Series Foundation Models: A Unifying Framework

    Jul 22, 2026Shifeng Xie, Ambroise Odonnat, Zehao Xiao +7Time Series Foundation ModelsWireless Foundation Models

  24. Zero-Observation User Reactivation with Gap-Driven Dimensional Gating

    Jul 22, 2026Jiandong Ding, Tianying Liu, Fuyuan Liu +2RetrainingTemporal Learnability

  25. Persistent Sparse Autoencoders: Learning Feature-Specific Timescales in Language Model Representations

    Jul 19, 2026Haoyan Luo, Mateo Espinosa Zarlenga, Mateja JamnikSparse AutoencodersImproving Sparse Autoencoders

  26. Event3R: Asynchronous-to-Global 3D Reconstruction from Event Camera via Spatial-Temporal Feature Aggregation

    Jul 17, 2026Jian Huang, Haotian Shen, Xinhao Lou +33D ReconstructionVoxel

  27. GoStop: Reinforcement Learning for Adaptive Temporal Aggregation in Event-Based Feature Tracking

    Jul 17, 2026Youngho Kim, Hoonhee Cho, Jae-Young Kang +1Multi-Object TrackingTemporal Learnability

  28. VLT: A Vision-Language-Time Series Multimodal Foundation Model for Industrial Intelligence

    Jul 16, 2026Haiteng Wang, Jingheng Yan, Xiaokang Wang +1Multimodal Foundation ModelTime Series Foundation Models

  29. Exploring Zero-Shot Foundation Models for Multivariate Time Series Anomaly Detection

    Jul 14, 2026Martin Uray, Saverio Messineo, Roland Kwitt +1Time-Series Anomaly DetectionTime Series Foundation Models

  30. DSSMs: State Space Models with Explicit Memory via Delay Differential Equations

    Jul 11, 2026Yixiao Qian, Song Chen, Jiaxu Liu +2State Space ModelsTemporal Learnability

  31. GRATE: Temporal Extensions for Inductive KG Foundation Models via Gated Rotary Attention

    Jul 11, 2026Jiaxin Pan, Osama Mohammed, Daniel Hernández +1Temporal Knowledge GraphsKnowledge Graph Embeddings

  32. Time Imprint: Learning Time-Aware Representations in Multi-Modal Knowledge Graphs

    Jul 8, 2026Pengyu Zhang, Klim Zaporojets, Congfeng Cao +2Knowledge Graph EmbeddingsTemporal Learnability

  33. RMISC: A Large-scale Real-world Multivariate Corpus for Time Series Foundation Models

    Jul 7, 2026Qian Sun, Yong-Ming Tian, Jia-Wei Huang +2Time Series Foundation ModelsTemporal Learnability

  34. Drift Happens: An Empirical Study of Neural Architecture Robustness to Temporal Distribution Shift

    Jul 7, 2026Robin Holzinger, Riccardo CollettiTemporal LearnabilityArchitectural Inductive Biases

  35. When Do Foundation Models Pay Off? A Break-Even Analysis of Pretrained Time Series Forecasters

    Jul 6, 2026Nicholas Tan Jerome, Frank SimonTime Series Foundation ModelsFoundation Model

  36. Towards transferable lightweight neuromorphic computing through a model-free temporal-switch framework

    Jul 1, 2026Zefeng Zhang, Chao Li, Siyao Chen +5Neuromorphic HardwareTemporal Learnability

  37. Rethinking the Role of Feature Engineering and Learning Strategies in Few-Shot Hidden Emotion Recognition

    Jun 30, 2026Xiaochuan Guo, Jihao Gu, Haixu Liu +6Emotion RecognitionTemporal Learnability

  38. Temporal Feature Extractors in EEG Foundation Models: A Controlled Comparison Including a Pretrained Time-Series Model

    Jun 29, 2026Ayşe Betül Yüce, Chris Joey Leffler, Sarun Varghese +2Electroencephalography Foundation ModelsTemporal Learnability

  39. Timesteps of Mamba Align with Human Reading Times

    Jun 29, 2026Yuji Yamamoto, Shinnosuke Isono, Yoshinobu Kawahara +1Mamba-Based ModelsMamba

  40. STEAM: Self-Supervised Temporal Ensemble Advantage Modeling for Real-World Robot Learning

    Jun 29, 2026Zhihao Liu, Qiuyi Gu, Yitao Wang +16Scalable Robot LearningRobots

  41. A Study of Temporal Fusion Strategies for Named Entity Recognition in Historical Texts

    Jun 26, 2026Emanuela BorosNamed-Entity RecognitionTemporal Learnability

  42. Learning Diachronic Representations of Ancient Greek Letterforms

    Jun 23, 2026John Pavlopoulos, Spyros Barbakos, Lavinia Ferretti +7Ancient GreekHandwriting

  43. Learning by Shifting: Temporal View Construction for Time Series Contrastive Learning

    Jun 20, 2026Abdul-Kazeem Shamba, Kerstin Bach, Gavin TaylorTime-Series ClassificationContrastive Learning

  44. B[FM]^2: Brain Foundation Model via Flow Matching with SplitUNet

    Jun 18, 2026Jaedong Hwang, Kathleen Zhang, Wei Dai +5Electroencephalography Foundation ModelsElectroencephalogram

  45. TimeLAVA: Learning-Agnostic Valuation for Time Series Data

    Jun 17, 2026Wenqin Liu, Weizhi Quan, Aoqi Zuo +5Time-Series Anomaly DetectionTime Series

  46. Autonomous End-to-End SOH Prediction Services for Battery Systems via Temporal-Contrastive Representation Learning

    Jun 15, 2026Junting Wen, Dan Li, Qihao Quan +8Lithium-Ion BatteriesPredictive Maintenance

  47. TimeVista: Exploring and Exploiting Vision-Language Models as Judges for Time Series Forecasting

    Jun 15, 2026Zhi Chen, Yuxuan Wang, Jialong Wu +5Time Series ForecastingTime Series

  48. Inference-Time Decision Calibration for Temporal Classification

    Jun 14, 2026Arthur Chagas, Arthur Buzelin, Yan Aquino +4Temporal LearnabilityInference-Time

  49. RECTOR: Masked Region-Channel-Temporal Modeling for Affective and Cognitive Representation Learning

    Jun 13, 2026Jinhan Liu, Mahsa ShoaranElectroencephalogramTemporal Learnability

  50. MamBOA: State-Space Architecture for Video Recognition

    Jun 13, 2026Mustafa Bora ÇelikTemporal LearnabilityState Space Models

  51. Towards a Unified Generative Model for Scarce Time Series with Domain Experts

    Jun 13, 2026Zihao Yao, Qi Zheng, Jiankai Zuo +1Synthetic Time SeriesGenerative Models

  52. A Stationarity-and-Coupling Criterion for Training-Free Time-Lagged Spectral Embeddings of Multivariate Time Series

    Jun 11, 2026Siddharth Pal, Viktoria RojkovaTime SeriesNon-Stationarity

  53. TEDD: Robust Detection of Unstable Temporal Features

    Jun 10, 2026Ricardo Ribeiro Pereira, Bruno Casal Laraña, Nádia Soares +1Temporal Learnability

  54. Action-Effect Memory Pretraining for Robot Manipulation

    Jun 10, 2026Yijing Zhou, Qiwei Liang, Sitong Zhuang +5Robot PerceptionTemporal Learnability

  55. Representing Time Series as Structured Programs for LLM Reasoning

    Jun 10, 2026Jaeho Kim, Changhun Oh, Seokhyun Lee +2Time SeriesTemporal Learnability

  56. Spatially Selective Self-Training for Unsupervised Building Change Detection

    Jun 9, 2026Wafaa I. M. Hussin, Zhi Lu, Anas M. I. Mohammed +3Change DetectionTemporal Learnability

  57. TRACE: A Temporal Conditional Estimation for Multimodal Time Series Foundation Models

    Jun 4, 2026Ziwen Kan, Yishuo Chen, Kecheng Li +7Time Series Foundation ModelsMissing Modalities

  58. AnchorMoE: Interpretable Time Series Classification via Anchor-Routed MoE

    Jun 2, 2026Tao Xie, Zexi Tan, Haoyi Xiao +5Time-Series ClassificationTime Series

  59. Combining Statistical Features and Deep Encodings for Rehearsal-Based Class-Incremental Time Series Classification

    Jun 2, 2026Pablo García-Santaclara, Bruno Fernández-Castro, Rebeca Pilar Díaz-RedondoTime-Series ClassificationClip-Based Class-Incremental Learning

  60. TimeBlocks: Foundational and Continual Time-Series Blockbase -- Extended Version

    Jun 1, 2026David Campos, Bin Yang, Tung Kieu +3Time SeriesTemporal Learnability