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What time are World Cup 2026 matches in my time zone?

What time are World Cup 2026 matches in my time zone? Find out the match time in your part of the world for the 104 fixtures of the FIFA World Cup 2026 in North America. The FIFA World Cup 2026 will take place across the United States, Canada and Mexico from June 11 to July 19, with 48 teams playing 104 matches in the largest tournament in history.

Al Jazeera 1d ago

Learning Hyperspherical Time-Frequency Representations for Time-Series Out-of-Distribution Detection

arXiv:2605.31155v1 Announce Type: new Abstract: Out-of-distribution (OOD) detection for time-series data remains comparatively underexplored compared to vision and language, with a limited principled understanding of how supervised time-series representations can be leveraged for reliable detection under distributional shifts. This work formulates time-series OOD detection as representation learning with hyperspherical embeddings, where class-conditional structure is induced by a von...

arXiv CS 9d ago

Real-time fish interaction enlarges young guppy brains, while screen time falls short

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Phys.org 6d ago

Complementary Time-Space Tradeoff for Self-Stabilizing Leader Election: Polynomial States Meet Sublinear Time

arXiv:2505.23649v3 Announce Type: replace Abstract: We study the self-stabilizing leader election (SS-LE) problem in the population protocol model, assuming exact knowledge of the population size $n$. Burman, Chen, Chen, Doty, Nowak, Severson, and Xu [BCC+21a] (PODC) showed that this problem can be solved in $O(n)$ expected time with $O(n)$ states. Recently, G\k{a}sieniec, Grodzicki, and Stachowiak [GGS25] (PODC) proved that $n+O(\log n)$ states suffice to achieve $O(n \log n)$ time both in...

arXiv CS 8d ago

HyFAD: Hybrid Time-Frequency Diffusion with Frequency-Aware Embedding for Time Series Imputation

arXiv:2606.05239v1 Announce Type: cross Abstract: Diffusion models have demonstrated strong performance in time series modeling due to their ability to progressively capture complex data distributions through iterative denoising. However, existing approaches struggle with frequency-sensitive denoising, high-frequency reconstruction and balancing global trends with local dynamics. To address these limitations, we propose \textbf{HyFAD}, a \textbf{Hy}brid time-frequency \textbf{D}iffusion...

arXiv CS 5d ago

Convergence Rates of Continuous-Time Random Walks to Time-Fractional Diffusions with Unbounded Coefficients

arXiv:2605.31471v1 Announce Type: cross Abstract: We investigate uniform weak convergence rates for probabilistic numerical methods applied to backward time-fractional diffusion equations whose dynamics are driven by diffusions with possibly unbounded coefficients, such as the Geometric Brownian Motion. The fractional structure is represented through a random time-change by the inverse of a stable subordinator. To approximate the underlying fractional dynamics, we combine discrete Markov...

arXiv CS 9d ago

Tempora: Characterising the Time-Contingent Utility of Online Test-Time Adaptation

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arXiv CS 8d ago

TS-ICL: A Flexible Time-Indexed Foundation Model for Time Series via In-Context Learning

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arXiv CS 5d ago

Young first-time buyers face toughest time since financial crisis, says UK housebuilder

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The Guardian Business 12d ago

Benchmarking Counterfactual Prediction in Epidemic Time Series with Time-Varying Interventions

arXiv:2606.05692v1 Announce Type: new Abstract: Deep learning has enabled significant advances in time-series causal inference, yet progress remains constrained by the lack of realistic benchmarks with observable counterfactual outcomes. Existing datasets either rely on real-world observations without ground-truth counterfactuals or on simplified simulations that fail to capture complex causal dynamics. To address this gap, we develop a large-scale benchmark for counterfactual prediction in...

arXiv CS 5d ago