Matches in SemOpenAlex for { <https://semopenalex.org/work/W3186157855> ?p ?o ?g. }
- W3186157855 abstract "We present a spatio-temporal AI framework that concurrently exploits both the spatial and time-variable features of gravitationally lensed supernovae in optical images to ultimately aid in the discovery of such exotic transients in wide-field surveys. Our spatio-temporal engine is designed using recurrent convolutional layers, while drawing from recent advances in variational inference to quantify approximate Bayesian uncertainties via a confidence score. Using simulated Young Supernova Experiment (YSE) images as a showcase, we find that the use of time-series images yields a substantial gain of nearly 20 per cent in classification accuracy over single-epoch observations, with a preliminary application to mock observations from the Legacy Survey of Space and Time (LSST) yielding around 99 per cent accuracy. Our innovative deep learning machinery adds an extra dimension in the search for gravitationally lensed supernovae from current and future astrophysical transient surveys." @default.
- W3186157855 created "2021-08-02" @default.
- W3186157855 creator A5040655829 @default.
- W3186157855 creator A5067666505 @default.
- W3186157855 creator A5070919230 @default.
- W3186157855 date "2021-07-28" @default.
- W3186157855 modified "2023-09-27" @default.
- W3186157855 title "AI-driven spatio-temporal engine for finding gravitationally lensed supernovae" @default.
- W3186157855 cites W1508998076 @default.
- W3186157855 cites W1598796236 @default.
- W3186157855 cites W1665214252 @default.
- W3186157855 cites W1680809783 @default.
- W3186157855 cites W1836874354 @default.
- W3186157855 cites W1872312298 @default.
- W3186157855 cites W1965555277 @default.
- W3186157855 cites W1982727614 @default.
- W3186157855 cites W1984562644 @default.
- W3186157855 cites W1986781091 @default.
- W3186157855 cites W1990071130 @default.
- W3186157855 cites W2027101160 @default.
- W3186157855 cites W2039540993 @default.
- W3186157855 cites W2041791190 @default.
- W3186157855 cites W2060747038 @default.
- W3186157855 cites W2061159072 @default.
- W3186157855 cites W2095705004 @default.
- W3186157855 cites W2111051539 @default.
- W3186157855 cites W2156537003 @default.
- W3186157855 cites W2159528023 @default.
- W3186157855 cites W2170119465 @default.
- W3186157855 cites W2178336115 @default.
- W3186157855 cites W2271840356 @default.
- W3186157855 cites W2558201650 @default.
- W3186157855 cites W2604506260 @default.
- W3186157855 cites W2618245483 @default.
- W3186157855 cites W2750586355 @default.
- W3186157855 cites W2935981644 @default.
- W3186157855 cites W2944778514 @default.
- W3186157855 cites W2950517871 @default.
- W3186157855 cites W2951284630 @default.
- W3186157855 cites W2961457169 @default.
- W3186157855 cites W2964059111 @default.
- W3186157855 cites W2984244983 @default.
- W3186157855 cites W2994587867 @default.
- W3186157855 cites W3035731040 @default.
- W3186157855 cites W3047229168 @default.
- W3186157855 cites W3100958152 @default.
- W3186157855 cites W3100975459 @default.
- W3186157855 cites W3103807032 @default.
- W3186157855 cites W3104540689 @default.
- W3186157855 cites W3104685767 @default.
- W3186157855 cites W3105165937 @default.
- W3186157855 cites W3112934869 @default.
- W3186157855 cites W3113490655 @default.
- W3186157855 cites W3127500318 @default.
- W3186157855 cites W3131783066 @default.
- W3186157855 cites W3133075091 @default.
- W3186157855 cites W3134790372 @default.
- W3186157855 cites W3137829124 @default.
- W3186157855 cites W3137829801 @default.
- W3186157855 cites W3138962839 @default.
- W3186157855 cites W3159999012 @default.
- W3186157855 cites W3169862239 @default.
- W3186157855 cites W3176494402 @default.
- W3186157855 cites W601603264 @default.
- W3186157855 hasPublicationYear "2021" @default.
- W3186157855 type Work @default.
- W3186157855 sameAs 3186157855 @default.
- W3186157855 citedByCount "0" @default.
- W3186157855 crossrefType "posted-content" @default.
- W3186157855 hasAuthorship W3186157855A5040655829 @default.
- W3186157855 hasAuthorship W3186157855A5067666505 @default.
- W3186157855 hasAuthorship W3186157855A5070919230 @default.
- W3186157855 hasConcept C107673813 @default.
- W3186157855 hasConcept C121332964 @default.
- W3186157855 hasConcept C127592171 @default.
- W3186157855 hasConcept C1276947 @default.
- W3186157855 hasConcept C154945302 @default.
- W3186157855 hasConcept C160234255 @default.
- W3186157855 hasConcept C202444582 @default.
- W3186157855 hasConcept C2776214188 @default.
- W3186157855 hasConcept C2780317896 @default.
- W3186157855 hasConcept C33676613 @default.
- W3186157855 hasConcept C33923547 @default.
- W3186157855 hasConcept C41008148 @default.
- W3186157855 hasConcept C44870925 @default.
- W3186157855 hasConcept C98444146 @default.
- W3186157855 hasConceptScore W3186157855C107673813 @default.
- W3186157855 hasConceptScore W3186157855C121332964 @default.
- W3186157855 hasConceptScore W3186157855C127592171 @default.
- W3186157855 hasConceptScore W3186157855C1276947 @default.
- W3186157855 hasConceptScore W3186157855C154945302 @default.
- W3186157855 hasConceptScore W3186157855C160234255 @default.
- W3186157855 hasConceptScore W3186157855C202444582 @default.
- W3186157855 hasConceptScore W3186157855C2776214188 @default.
- W3186157855 hasConceptScore W3186157855C2780317896 @default.
- W3186157855 hasConceptScore W3186157855C33676613 @default.
- W3186157855 hasConceptScore W3186157855C33923547 @default.
- W3186157855 hasConceptScore W3186157855C41008148 @default.
- W3186157855 hasConceptScore W3186157855C44870925 @default.
- W3186157855 hasConceptScore W3186157855C98444146 @default.