Villar, V. Ashley, Cranmer, Miles, Berger, Edo, Contardo, Gabriella, Ho, Shirley, Hosseinzadeh, Griffin, and Lin, Joshua Yao-Yu. A Deep-learning Approach for Live Anomaly Detection of Extragalactic Transients. Retrieved from https://par.nsf.gov/biblio/10404262. The Astrophysical Journal Supplement Series 255.2 Web. doi:10.3847/1538-4365/ac0893.

Villar, V. Ashley, Cranmer, Miles, Berger, Edo, Contardo, Gabriella, Ho, Shirley, Hosseinzadeh, Griffin, & Lin, Joshua Yao-Yu. A Deep-learning Approach for Live Anomaly Detection of Extragalactic Transients. The Astrophysical Journal Supplement Series, 255 (2). Retrieved from https://par.nsf.gov/biblio/10404262. https://doi.org/10.3847/1538-4365/ac0893

Villar, V. Ashley, Cranmer, Miles, Berger, Edo, Contardo, Gabriella, Ho, Shirley, Hosseinzadeh, Griffin, and Lin, Joshua Yao-Yu. "A Deep-learning Approach for Live Anomaly Detection of Extragalactic Transients". The Astrophysical Journal Supplement Series 255 (2). Country unknown/Code not available. https://doi.org/10.3847/1538-4365/ac0893. https://par.nsf.gov/biblio/10404262.

@article{osti_10404262,
place = {Country unknown/Code not available}, title = {A Deep-learning Approach for Live Anomaly Detection of Extragalactic Transients}, url = {https://par.nsf.gov/biblio/10404262}, DOI = {10.3847/1538-4365/ac0893}, abstractNote = {}, journal = {The Astrophysical Journal Supplement Series}, volume = {255}, number = {2}, author = {Villar, V. Ashley and Cranmer, Miles and Berger, Edo and Contardo, Gabriella and Ho, Shirley and Hosseinzadeh, Griffin and Lin, Joshua Yao-Yu}, }