Search Results - "Qu, Helen"

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  1. 1

    Photo-zSNthesis: Converting Type Ia Supernova Lightcurves to Redshift Estimates via Deep Learning by Qu, Helen, Sako, Masao

    Published in The Astrophysical journal (01-09-2023)
    “…Abstract Upcoming photometric surveys will discover tens of thousands of Type Ia supernovae (SNe Ia), vastly outpacing the capacity of our spectroscopic…”
    Get full text
    Journal Article
  2. 2

    The Pantheon+ Analysis: SuperCal-fragilistic Cross Calibration, Retrained SALT2 Light-curve Model, and Calibration Systematic Uncertainty by Brout, Dillon, Taylor, Georgie, Scolnic, Dan, Wood, Charlotte M., Rose, Benjamin M., Vincenzi, Maria, Dwomoh, Arianna, Lidman, Christopher, Riess, Adam, Ali, Noor, Qu, Helen, Dai, Mi

    Published in The Astrophysical journal (01-10-2022)
    “…Abstract We present a recalibration of the photometric systems in the Pantheon+ sample of Type Ia supernovae (SNe Ia) including those in the SH0ES…”
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    Journal Article
  3. 3

    What’s the Difference? The Potential for Convolutional Neural Networks for Transient Detection without Template Subtraction by Acero-Cuellar, Tatiana, Bianco, Federica, Dobler, Gregory, Sako, Masao, Qu, Helen

    Published in The Astronomical journal (01-09-2023)
    “…Abstract We present a study of the potential for convolutional neural networks (CNNs) to enable separation of astrophysical transients from image artifacts, a…”
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    Journal Article
  4. 4

    Photometric Classification of Early-time Supernova Light Curves with SCONE by Qu, Helen, Sako, Masao

    Published in The Astronomical journal (01-02-2022)
    “…Abstract In this work, we present classification results on early supernova light curves from SCONE, a photometric classifier that uses convolutional neural…”
    Get full text
    Journal Article
  5. 5

    Photo-zSNthesis: Converting Type Ia Supernova Lightcurves to Redshift Estimates via Deep Learning by Qu, Helen, Sako, Masao

    Published in The Astrophysical journal (01-09-2023)
    “…Abstract Upcoming photometric surveys will discover tens of thousands of Type Ia supernovae (SNe Ia), vastly outpacing the capacity of our spectroscopic…”
    Get full text
    Journal Article
  6. 6

    Photometric Classification of Early-time Supernova Light Curves with SCONE by Qu, Helen, Sako, Masao

    Published in The Astronomical journal (11-01-2022)
    “…Abstract In this work, we present classification results on early supernova light curves from SCONE, a photometric classifier that uses convolutional neural…”
    Get full text
    Journal Article
  7. 7

    Towards Precision Photometric Type Ia Supernova Cosmology With Machine Learning by Qu, Helen

    Published 01-01-2024
    “…The revolutionary discovery of dark energy and accelerating cosmic expansion was made with just 42 type Ia supernovae (SNe Ia) in 1999. Since then, large…”
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    Dissertation
  8. 8

    What’s the Difference? The Potential for Convolutional Neural Networks for Transient Detection without Template Subtraction by Acero-Cuellar, Tatiana, Bianco, Federica, Dobler, Gregory, Sako, Masao, Qu, Helen

    Published in The Astronomical journal (18-08-2023)
    “…Abstract We present a study of the potential for convolutional neural networks (CNNs) to enable separation of astrophysical transients from image artifacts, a…”
    Get full text
    Journal Article
  9. 9

    Processing of Alu small RNAs by DICER/ADAR1 complexes and their RNAi targets by Shiromoto, Yusuke, Sakurai, Masayuki, Qu, Helen, Kossenkov, Andrew V, Nishikura, Kazuko

    Published in RNA (Cambridge) (01-12-2020)
    “…In addition to adenosine-to-inosine RNA editing activities, ADAR1 has been shown to have various RNA editing-independent activities including modulation of…”
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    Journal Article
  10. 10

    Towards Precision Photometric Type Ia Supernova Cosmology with Machine Learning by Qu, Helen

    Published 06-06-2024
    “…The revolutionary discovery of dark energy and accelerating cosmic expansion was made with just 42 type Ia supernovae (SNe Ia) in 1999. Since then, large…”
    Get full text
    Journal Article
  11. 11

    Photo-zSNthesis: Converting Type Ia Supernova Lightcurves to Redshift Estimates via Deep Learning by Qu, Helen, Sako, Masao

    Published 19-05-2023
    “…Upcoming photometric surveys will discover tens of thousands of Type Ia supernovae (SNe Ia), vastly outpacing the capacity of our spectroscopic resources. In…”
    Get full text
    Journal Article
  12. 12

    Connect Later: Improving Fine-tuning for Robustness with Targeted Augmentations by Qu, Helen, Xie, Sang Michael

    Published 08-01-2024
    “…Models trained on a labeled source domain (e.g., labeled images from wildlife camera traps) often generalize poorly when deployed on an out-of-distribution…”
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    Journal Article
  13. 13

    Photometric Classification of Early-Time Supernova Lightcurves with SCONE by Qu, Helen, Sako, Masao

    Published 10-11-2021
    “…In this work, we present classification results on early supernova lightcurves from SCONE, a photometric classifier that uses convolutional neural networks to…”
    Get full text
    Journal Article
  14. 14

    Transformers for scientific data: a pedagogical review for astronomers by Tanoglidis, Dimitrios, Jain, Bhuvnesh, Qu, Helen

    Published 18-10-2023
    “…The deep learning architecture associated with ChatGPT and related generative AI products is known as transformers. Initially applied to Natural Language…”
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    Journal Article
  15. 15

    Sum-of-Parts: Faithful Attributions for Groups of Features by You, Weiqiu, Qu, Helen, Gatti, Marco, Jain, Bhuvnesh, Wong, Eric

    Published 24-10-2023
    “…Feature attributions explain machine learning predictions by assigning importance scores to input features. While faithful attributions accurately reflect…”
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    Journal Article
  16. 16

    A Convolutional Neural Network Approach to Supernova Time-Series Classification by Qu, Helen, Sako, Masao, Moller, Anais, Doux, Cyrille

    Published 19-07-2022
    “…One of the brightest objects in the universe, supernovae (SNe) are powerful explosions marking the end of a star's lifetime. Supernova (SN) type is defined by…”
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    Journal Article
  17. 17

    SCONE: Supernova Classification with a Convolutional Neural Network by Qu, Helen, Sako, Masao, Möller, Anais, Doux, Cyrille

    Published 08-06-2021
    “…We present a novel method of classifying Type Ia supernovae using convolutional neural networks, a neural network framework typically used for image…”
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    Journal Article
  18. 18

    The FIX Benchmark: Extracting Features Interpretable to eXperts by Jin, Helen, Havaldar, Shreya, Kim, Chaehyeon, Xue, Anton, You, Weiqiu, Qu, Helen, Gatti, Marco, Hashimoto, Daniel A, Jain, Bhuvnesh, Madani, Amin, Sako, Masao, Ungar, Lyle, Wong, Eric

    Published 20-09-2024
    “…Feature-based methods are commonly used to explain model predictions, but these methods often implicitly assume that interpretable features are readily…”
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    Journal Article
  19. 19

    What's the Difference? The potential for Convolutional Neural Networks for transient detection without template subtraction by Acero-Cuellar, Tatiana, Bianco, Federica, Dobler, Gregory, Sako, Masao, Qu, Helen, Collaboration, The LSST Dark Energy Science

    Published 25-08-2023
    “…2023 AJ 166 115 We present a study of the potential for Convolutional Neural Networks (CNNs) to enable separation of astrophysical transients from image…”
    Get full text
    Journal Article
  20. 20

    The Pantheon+ Analysis: SuperCal-Fragilistic Cross Calibration, Retrained SALT2 Light Curve Model, and Calibration Systematic Uncertainty by Brout, Dillon, Taylor, Georgie, Scolnic, Dan, Wood, Charlotte M, Rose, Benjamin M, Vincenzi, Maria, Dwomoh, Arianna, Lidman, Christopher, Riess, Adam, Ali, Noor, Qu, Helen, Dai, Mi

    Published 14-11-2022
    “…ApJ 938 111 (2022) We present here a re-calibration of the photometric systems used in the Pantheon+ sample of Type Ia supernovae (SNe Ia) including those used…”
    Get full text
    Journal Article