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Showing Time series classification & imputation Show all papers

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PR-Smoother: Simulator-Preserving Non-Gaussian Smoothing for Data Assimilation

Yuta Tarumi

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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45%Niche pick
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Causal Discovery under Time-Varying Delays

Lénaïg Cornanguer, David Kaltenpoth, Jilles Vreeken

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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Robust Stream Classification using Time Neutralising Decision Trees

Brandon Gower-Winter, Georg Krempl

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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57%Worth a look
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SCDM: Scalable Causal Discovery in Nonlinear Temporal Systems with Meta-Learning

Jingbo Wang, Kegeng Tang, Zihao Wang, Shaogang Ren

Atlanta Poster Session 4, Thu, Dec 10, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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lenient 1/5
medium 0/10
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Time series analysis with Gumbel dynamics

Yiliu Wang, Timothy Kim, Eric Todd SheaBrown, Uygar Sümbül

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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57%Worth a look
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Time-Frequency Decoupled Cross-Scale Partial Optimal Transport for Time Series Domain Adaptation

Shubin Liu, Xinyang Chen, Xiucheng Li, Weili Guan and 1 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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57%Worth a look
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MissPath-FM: Flow Matching with Structured Priors for Partially Observed Time Series

Genpei Zhang

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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57%Worth a look
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ClinStab: Stability-Oriented Learning for Medical Time Series via Dual-Stream Alignment

Songning Lai, Haoxuan Xu, Yi Liu, Wenshuo Chen and 4 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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lenient 1/5
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Harnessing Accurate and Automatic Trend Detection in Data Streams via Tbps-Level Inference

Yuhan Wu, QianXun Xu, Lida Liao, Longlong Zhu and 6 more

Paris Poster Session 5, Fri, Dec 11, 11:30 AM–1:30 PM, Paris Poster Hall · Published 2026

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57%Worth a look
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RnR: a meta-solver for causal discovery in undersampled time series data

Mohammadsajad Abavisani, Kseniya Solovyeva, David Danks, Vince D. Calhoun and 1 more

Atlanta Poster Session 5, Fri, Dec 11, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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57%Worth a look
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Delay-Embedded Representations for Robust Saccade Classification in Noisy Oculographic Signals

Vladimir Antipov, Artem Badarin, Alexander Khramov

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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lenient 1/5
medium 0/10
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45%Niche pick
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TSB-SEG: A Systematic Time-Series Segmentation Benchmark

Félix Chavelli, Arik Ermshaus, Patrick Schäfer, Fan Yang and 2 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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78%Highly rated
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Closing the Approximation Gap in Simulation-free Latent SDEs

Simulation-free latent SDE inference restricts approximate posteriors and degrades learning, but Helmholtz-SDE closes the gap by optimizing over compatible path laws to match simulation-based accuracy at lower cost.

Henry Smith, Brian L Trippe, Scott Linderman

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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AI panel: 11 of 20 reviewers recommend it
lenient 4/5
medium 6/10
strict 1/5
72%Highly rated
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HyFAD: Hybrid Time-Frequency Diffusion with Frequency-Aware Embedding for Time Series Imputation

HyFAD couples time- and frequency-domain diffusion for time series imputation, using frequency-aware step embeddings to improve high-frequency reconstruction and achieve state-of-the-art results.

Hongfan Gao, Wangmeng Shen, Bin Yang, Jilin Hu

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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AI panel: 8 of 20 reviewers recommend it
lenient 4/5
medium 4/10
strict 0/5
86%Must read
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TSQAgent: Rating Time Series Data Quality via Dedicated Agentic Reasoning

TSQAgent uses collaborative agent roles and external analytical tools to automatically identify relevant time series quality dimensions and perform quantitative comparisons, substantially improving LLM assessment and downstream data selection.

Shunyu Wu, Dan Li, Haozheng Ye, Weibin Feng and 5 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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14/20 AI panelreviewers recommend it

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AI panel: 14 of 20 reviewers recommend it
lenient 5/5
medium 8/10
strict 1/5
74%Highly rated
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Topological Periodicity Test (TopPT) via Confidence Bound of Time-Delay Embeddings

Time-delay embeddings of periodic signals are homotopy equivalent to circles, enabling TopPT, a hypothesis test with asymptotic error control for detecting periodicity via confidence-bounded persistence diagrams.

Donghyun Park, Junhyun An, Taehyoung Kim, Jisu Kim

Paris Poster Session 1, Wed, Dec 9, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026

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AI panel: 9 of 20 reviewers recommend it
lenient 2/5
medium 7/10
strict 0/5
78%Highly rated
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ProCTI: Prototype-Refined Global Conditioning for Diffusion-Based Time Series Imputation

ProCTI retrieves global dataset prototypes to augment local conditioning in diffusion-based time series imputation, improving accuracy under sparse or noisy missingness with theoretical guarantees.

Fariza Rashid, Duc Van Le, Rahat Masood, Gustavo E Batista and 2 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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AI panel: 11 of 20 reviewers recommend it
lenient 4/5
medium 6/10
strict 1/5
86%Must read
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TIDES: Implicit Time-Awareness in Selective State Space Models

TIDES moves input dependence from step size to the state matrix in selective SSMs, preserving physical time steps and per-token expressivity for irregular series, achieving state-of-the-art time-series results.

Taylan Soydan, Miguel Bessa, Dirk Mohr, Rui Barreira

Paris Poster Session 5, Fri, Dec 11, 11:30 AM–1:30 PM, Paris Poster Hall · Published 2026

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AI panel: 14 of 20 reviewers recommend it
lenient 4/5
medium 10/10
strict 0/5
76%Highly rated
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Geometric Inductive Biases for Semi-Supervised Equalization: The Constellation-Aware Transformer

Constellation-Aware Transformer injects geometric inductive biases into semi-supervised equalization via constellation-aware attention and FIR-inspired filtering, outperforming baselines with fewer pilots.

Avi Caciularu

Paris Poster Session 3, Thu, Dec 10, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026

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AI panel: 10 of 20 reviewers recommend it
lenient 3/5
medium 7/10
strict 0/5
78%Highly rated
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Faithful Embeddings of Irregular and Asynchronous Data for Online Log-NCDEs

Online Log-NCDEs use a continuous, injective increment-based embedding to build log-signatures directly from irregular asynchronous observations without interpolation, achieving universal approximation with online efficiency and robustness.

Benjamin Walker, Alexandre Bloch, Lingyi Yang, Sam Morley and 1 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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AI panel: 11 of 20 reviewers recommend it
lenient 2/5
medium 7/10
strict 2/5
70%Highly rated
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High-dimensional Gaussian Graphical Model Testing for Long-Memory Time Series

A direct data-adaptive test for Gaussian graphical models in high-dimensional long-memory time series achieves asymptotic size and power consistency via block bootstrap.

Percy S. Zhai, Ping-Shou Zhong, Wei Biao Wu

Atlanta Poster Session 4, Thu, Dec 10, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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4/20 AI panelreviewers recommend it

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AI panel: 4 of 20 reviewers recommend it
lenient 2/5
medium 1/10
strict 1/5