From the 1 of 37 linked papers with an AI index.
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MINT: Tensor Decomposition on Stacked Recurrence Matrices for Time Series Data Mining
Kaamil Kaka, Audrey Der, Evangelos E. Papalexakis +2
Recurrence plots are a time series data mining primitive applied to a variety of domains (e.g. star light curves, sound waveforms, CCT telemetry). This work proposes tensorized sel…
Tensor Methods: A Unified and Interpretable Approach for Material Design
Shaan Pakala, Aldair E. Gongora, Brian Giera +1
When designing new materials, it is often necessary to tailor the material design to have some desired properties. As the set of material design parameters grows, the search space…
Multi-modal Rail Crossing Safety Analysis
Paimon Goulart, Chansong Lim, NÃcolas Roque dos Santos +4
Given one or more images of a railway crossing, can we leverage visual cues that allow us to robustly estimate how safe it is? Can we improve our ability to do so by introducing st…
Discrete Stochastic Localization for Non-autoregressive Generation
Yunshu Wu, Jiayi Cheng, Longxuan Yu +4
Continuous diffusion is a natural framework for non-autoregressive generation but has generally lagged behind masked discrete diffusion models (MDMs) on discrete sequence generatio…
Discrete Stochastic Localization for Non-autoregressive Generation
Yunshu Wu, Jiayi Cheng, Longxuan Yu +4
Continuous diffusion is a natural framework for non-autoregressive generation but has generally lagged behind masked discrete diffusion models (MDMs) on discrete sequence generatio…
Are LLM Uncertainty and Correctness Encoded by the Same Features? A Functional Dissociation via Sparse Autoencoders
Het Patel, Tiejin Chen, Hua Wei +2
Large language models can be uncertain yet correct, or confident yet wrong, raising the question of whether their output-level uncertainty and their actual correctness are driven b…