Search Results - "Stewart, Adam J."

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    An Untargeted Search for Radio-emitting Tidal Disruption Events in the VAST Pilot Survey by Dykaar, Hannah, Drout, Maria R., Gaensler, B. M., Kaplan, David L., Murphy, Tara, Horesh, Assaf, Anumarlapudi, Akash, Dobie, Dougal, Driessen, Laura N., Lenc, Emil, Stewart, Adam J.

    Published in The Astrophysical journal (01-10-2024)
    “…Abstract We present a systematic search for tidal disruption events (TDEs) using radio data from the Variables and Slow Transients (VAST) Pilot Survey…”
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    A pilot ASKAP survey for radio transients towards the Galactic Centre by Wang, Ziteng, Murphy, Tara, Kaplan, David L, Bannister, Keith W, Lenc, Emil, Leung, James K, O’Brien, Andrew, Pintaldi, Sergio, Pritchard, Joshua, Stewart, Adam J, Zic, Andrew

    “…ABSTRACT We present the results of a radio transient and polarization survey towards the Galactic Centre, conducted as part of the Australian Square Kilometre…”
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    CHILES VERDES: Radio Variability at an Unprecedented Depth and Cadence in the COSMOS Field by Sarbadhicary, Sumit K., Tremou, Evangelia, Stewart, Adam J., Chomiuk, Laura, Peters, Charee, Hales, Chris, Strader, Jay, Momjian, Emmanuel, Fender, Rob, Wilcots, Eric M.

    Published in The Astrophysical journal (01-12-2021)
    “…Abstract Although it is well established that some extragalactic radio sources are time-variable, the properties of this radio variability, and its connection…”
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    Recent changes in glacier velocities and thinning at Novaya Zemlya by Melkonian, Andrew K., Willis, Michael J., Pritchard, Matthew E., Stewart, Adam J.

    Published in Remote sensing of environment (01-03-2016)
    “…Ice loss from the glaciers of Novaya Zemlya (NVZ) is the dominant contributor to sea level for the Russian Arctic. Here we present maps of glacier elevation…”
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    Hemispheric Dichotomy of Mantle Dynamics Revealed by Machine Learning by Stewart, Adam J, Li, Yanchong, Cao, Zebin, Liu, Lijun

    Published 25-06-2023
    “…Past efforts to interrogate the mantle's contribution to Earth's topography suffer from inadequate in-situ measurements of true bathymetry and the involvement…”
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    Lightning UQ Box: A Comprehensive Framework for Uncertainty Quantification in Deep Learning by Lehmann, Nils, Gawlikowski, Jakob, Stewart, Adam J, Jancauskas, Vytautas, Depeweg, Stefan, Nalisnick, Eric, Gottschling, Nina Maria

    Published 04-10-2024
    “…Uncertainty quantification (UQ) is an essential tool for applying deep neural networks (DNNs) to real world tasks, as it attaches a degree of confidence to DNN…”
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    On the Generalizability of Foundation Models for Crop Type Mapping by Chang, Yi-Chia, Stewart, Adam J, Bastani, Favyen, Wolters, Piper, Kannan, Shreya, Huber, George R, Wang, Jingtong, Banerjee, Arindam

    Published 14-09-2024
    “…Foundation models pre-trained using self-supervised and weakly-supervised learning have shown powerful transfer learning capabilities on various downstream…”
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    On the Foundations of Earth and Climate Foundation Models by Zhu, Xiao Xiang, Xiong, Zhitong, Wang, Yi, Stewart, Adam J, Heidler, Konrad, Wang, Yuanyuan, Yuan, Zhenghang, Dujardin, Thomas, Xu, Qingsong, Shi, Yilei

    Published 07-05-2024
    “…Foundation models have enormous potential in advancing Earth and climate sciences, however, current approaches may not be optimal as they focus on a few basic…”
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    Neural Plasticity-Inspired Multimodal Foundation Model for Earth Observation by Xiong, Zhitong, Wang, Yi, Zhang, Fahong, Stewart, Adam J, Hanna, Joëlle, Borth, Damian, Papoutsis, Ioannis, Saux, Bertrand Le, Camps-Valls, Gustau, Zhu, Xiao Xiang

    Published 22-03-2024
    “…The development of foundation models has revolutionized our ability to interpret the Earth's surface using satellite observational data. Traditional models…”
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    TorchGeo: Deep Learning With Geospatial Data by Stewart, Adam J, Robinson, Caleb, Corley, Isaac A, Ortiz, Anthony, Ferres, Juan M. Lavista, Banerjee, Arindam

    Published 16-11-2021
    “…Remotely sensed geospatial data are critical for applications including precision agriculture, urban planning, disaster monitoring and response, and climate…”
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    SSL4EO-L: Datasets and Foundation Models for Landsat Imagery by Stewart, Adam J, Lehmann, Nils, Corley, Isaac A, Wang, Yi, Chang, Yi-Chia, Braham, Nassim Ait Ali, Sehgal, Shradha, Robinson, Caleb, Banerjee, Arindam

    Published 15-06-2023
    “…The Landsat program is the longest-running Earth observation program in history, with 50+ years of data acquisition by 8 satellites. The multispectral imagery…”
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