VisionTS++: Cross-Modal Time Series Foundation Model with Continual Pre-trained Visual Backbones

Kavli Affiliate: Zhuo Li | First 5 Authors: Lefei Shen, Lefei Shen, , , | Summary: Recent studies have revealed that vision models pre-trained on images can perform well in time series forecasting by reformulating forecasting as an image reconstruction task, suggesting their potential as universal time series foundation models. However, effective cross-modal transfer from […]


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A second-generation star in a relic dwarf galaxy

Kavli Affiliate: Alexander P. Ji | First 5 Authors: Anirudh Chiti, Anirudh Chiti, , , | Summary: Stars that contain only trace amounts of elements heavier than helium, referred to as having low "metallicity", preserve the chemical fingerprints of the first generation of stars and supernovae. In the Milky Way, the lowest metallicity stars show […]


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Modeling hidden cognitive states reveals acute and chronic effects of fentanyl on decision-making

Kavli Affiliate: Patricia Janak | Authors: Zhenlong Zhang, Patricia H. Janak and Eric Garr | Summary: The cognitive mechanisms underlying behavior are often dynamic, shifting gradually or abruptly over time scales spanning years, to weeks, to minutes. Whether drug-induced changes in learning and decision-making follow similarly dynamic patterns remains unclear. To address this, we apply […]


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Sequence termination cues drive habits via dopamine-mediated credit assignment

Kavli Affiliate: Patricia Janak | Authors: Robin Magnard, Yifeng Cheng, Joanna Zhou, Haley Province, Nathalie Thiriet, Patricia H Janak and Youna Vandaele | Summary: Background Mesolimbic dopamine (DA) neurons are central to cue guided reward seeking and action sequence learning. Yet, the mechanisms by which cue-induced DA neural activity drives goal-directed or habitual sequence execution […]


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X-ray Polarimetry of Accreting White Dwarfs: A Case Study of EX Hydrae

Kavli Affiliate: David P. Huenemoerder | First 5 Authors: Sean J. Gunderson, Sean J. Gunderson, , , | Summary: We present the first first X-ray polarization measurements of a white dwarf, the intermediate polar EX Hya. We measured significant polarization only in the 2 — 3 keV energy band with a polarization degree of 8 […]


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Model Accuracy and Data Heterogeneity Shape Uncertainty Quantification in Machine Learning Interatomic Potentials

Kavli Affiliate: Wei Gao | First 5 Authors: Fei Shuang, Fei Shuang, , , | Summary: Machine learning interatomic potentials (MLIPs) enable accurate atomistic modelling, but reliable uncertainty quantification (UQ) remains elusive. In this study, we investigate two UQ strategies, ensemble learning and D-optimality, within the atomic cluster expansion framework. It is revealed that higher […]


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Squeezed Quasinormal Modes from Nonlinear Gravitational Effects

Kavli Affiliate: Frank Wilczek | First 5 Authors: Sreenath K. Manikandan, Sreenath K. Manikandan, , , | Summary: We demonstrate that long-lived black hole quasi-normal modes become quantum mechanically squeezed due to nonlinear gravitational effects. We estimate the degree of squeezing for the fundamental mode of a Schwarzschild black hole quantitatively. | Search Query: ArXiv […]


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Detector Correlations and Null Tests of the Coherent State Hypothesis

Kavli Affiliate: Frank Wilczek | First 5 Authors: Sreenath K. Manikandan, Sreenath K. Manikandan, , , | Summary: We discuss the statistics of correlations between two resonant detectors. We show that this allows simple null tests of the coherent state hypothesis, free of vacuum (quantum) noise. Complementary aspects of the radiation field, {it e.g.}, squeezing […]


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Robust Single-Stage Fully Sparse 3D Object Detection via Detachable Latent Diffusion

Kavli Affiliate: Jing Wang | First 5 Authors: Wentao Qu, Wentao Qu, , , | Summary: Denoising Diffusion Probabilistic Models (DDPMs) have shown success in robust 3D object detection tasks. Existing methods often rely on the score matching from 3D boxes or pre-trained diffusion priors. However, they typically require multi-step iterations in inference, which limits […]


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