Alert button
Picture for Ashish Mahabal

Ashish Mahabal

Alert button

Center for Data Driven Discovery, California Institute of Technology, Pasadena, CA, USA

Light Curve Classification with DistClassiPy: a new distance-based classifier

Mar 18, 2024
Siddharth Chaini, Ashish Mahabal, Ajit Kembhavi, Federica B. Bianco

Viaarxiv icon

Beyond Low Earth Orbit: Biomonitoring, Artificial Intelligence, and Precision Space Health

Dec 22, 2021
Ryan T. Scott, Erik L. Antonsen, Lauren M. Sanders, Jaden J. A. Hastings, Seung-min Park, Graham Mackintosh, Robert J. Reynolds, Adrienne L. Hoarfrost, Aenor Sawyer, Casey S. Greene, Benjamin S. Glicksberg, Corey A. Theriot, Daniel C. Berrios, Jack Miller, Joel Babdor, Richard Barker, Sergio E. Baranzini, Afshin Beheshti, Stuart Chalk, Guillermo M. Delgado-Aparicio, Melissa Haendel, Arif A. Hamid, Philip Heller, Daniel Jamieson, Katelyn J. Jarvis, John Kalantari, Kia Khezeli, Svetlana V. Komarova, Matthieu Komorowski, Prachi Kothiyal, Ashish Mahabal, Uri Manor, Hector Garcia Martin, Christopher E. Mason, Mona Matar, George I. Mias, Jerry G. Myers, Jr., Charlotte Nelson, Jonathan Oribello, Patricia Parsons-Wingerter, R. K. Prabhu, Amina Ann Qutub, Jon Rask, Amanda Saravia-Butler, Suchi Saria, Nitin Kumar Singh, Frank Soboczenski, Michael Snyder, Karthik Soman, David Van Valen, Kasthuri Venkateswaran, Liz Warren, Liz Worthey, Jason H. Yang, Marinka Zitnik, Sylvain V. Costes

Figure 1 for Beyond Low Earth Orbit: Biomonitoring, Artificial Intelligence, and Precision Space Health
Figure 2 for Beyond Low Earth Orbit: Biomonitoring, Artificial Intelligence, and Precision Space Health
Figure 3 for Beyond Low Earth Orbit: Biomonitoring, Artificial Intelligence, and Precision Space Health
Figure 4 for Beyond Low Earth Orbit: Biomonitoring, Artificial Intelligence, and Precision Space Health
Viaarxiv icon

Beyond Low Earth Orbit: Biological Research, Artificial Intelligence, and Self-Driving Labs

Dec 22, 2021
Lauren M. Sanders, Jason H. Yang, Ryan T. Scott, Amina Ann Qutub, Hector Garcia Martin, Daniel C. Berrios, Jaden J. A. Hastings, Jon Rask, Graham Mackintosh, Adrienne L. Hoarfrost, Stuart Chalk, John Kalantari, Kia Khezeli, Erik L. Antonsen, Joel Babdor, Richard Barker, Sergio E. Baranzini, Afshin Beheshti, Guillermo M. Delgado-Aparicio, Benjamin S. Glicksberg, Casey S. Greene, Melissa Haendel, Arif A. Hamid, Philip Heller, Daniel Jamieson, Katelyn J. Jarvis, Svetlana V. Komarova, Matthieu Komorowski, Prachi Kothiyal, Ashish Mahabal, Uri Manor, Christopher E. Mason, Mona Matar, George I. Mias, Jack Miller, Jerry G. Myers Jr., Charlotte Nelson, Jonathan Oribello, Seung-min Park, Patricia Parsons-Wingerter, R. K. Prabhu, Robert J. Reynolds, Amanda Saravia-Butler, Suchi Saria, Aenor Sawyer, Nitin Kumar Singh, Frank Soboczenski, Michael Snyder, Karthik Soman, Corey A. Theriot, David Van Valen, Kasthuri Venkateswaran, Liz Warren, Liz Worthey, Marinka Zitnik, Sylvain V. Costes

Figure 1 for Beyond Low Earth Orbit: Biological Research, Artificial Intelligence, and Self-Driving Labs
Figure 2 for Beyond Low Earth Orbit: Biological Research, Artificial Intelligence, and Self-Driving Labs
Figure 3 for Beyond Low Earth Orbit: Biological Research, Artificial Intelligence, and Self-Driving Labs
Figure 4 for Beyond Low Earth Orbit: Biological Research, Artificial Intelligence, and Self-Driving Labs
Viaarxiv icon

Tails: Chasing Comets with the Zwicky Transient Facility and Deep Learning

Feb 26, 2021
Dmitry A. Duev, Bryce T. Bolin, Matthew J. Graham, Michael S. P. Kelley, Ashish Mahabal, Eric C. Bellm, Michael W. Coughlin, Richard Dekany, George Helou, Shrinivas R. Kulkarni, Frank J. Masci, Thomas A. Prince, Reed Riddle, Maayane T. Soumagnac, Stéfan J. van der Walt

Figure 1 for Tails: Chasing Comets with the Zwicky Transient Facility and Deep Learning
Figure 2 for Tails: Chasing Comets with the Zwicky Transient Facility and Deep Learning
Viaarxiv icon

Nigraha: Machine-learning based pipeline to identify and evaluate planet candidates from TESS

Feb 22, 2021
Sriram Rao, Ashish Mahabal, Niyanth Rao, Cauligi Raghavendra

Figure 1 for Nigraha: Machine-learning based pipeline to identify and evaluate planet candidates from TESS
Figure 2 for Nigraha: Machine-learning based pipeline to identify and evaluate planet candidates from TESS
Figure 3 for Nigraha: Machine-learning based pipeline to identify and evaluate planet candidates from TESS
Figure 4 for Nigraha: Machine-learning based pipeline to identify and evaluate planet candidates from TESS
Viaarxiv icon

Enabling real-time multi-messenger astrophysics discoveries with deep learning

Nov 26, 2019
E. A. Huerta, Gabrielle Allen, Igor Andreoni, Javier M. Antelis, Etienne Bachelet, Bruce Berriman, Federica Bianco, Rahul Biswas, Matias Carrasco, Kyle Chard, Minsik Cho, Philip S. Cowperthwaite, Zachariah B. Etienne, Maya Fishbach, Francisco Förster, Daniel George, Tom Gibbs, Matthew Graham, William Gropp, Robert Gruendl, Anushri Gupta, Roland Haas, Sarah Habib, Elise Jennings, Margaret W. G. Johnson, Erik Katsavounidis, Daniel S. Katz, Asad Khan, Volodymyr Kindratenko, William T. C. Kramer, Xin Liu, Ashish Mahabal, Zsuzsa Marka, Kenton McHenry, Jonah Miller, Claudia Moreno, Mark Neubauer, Steve Oberlin, Alexander R. Olivas, Donald Petravick, Adam Rebei, Shawn Rosofsky, Milton Ruiz, Aaron Saxton, Bernard F. Schutz, Alex Schwing, Ed Seidel, Stuart L. Shapiro, Hongyu Shen, Yue Shen, Leo Singer, Brigitta M. Sipőcz, Lunan Sun, John Towns, Antonios Tsokaros, Wei Wei, Jack Wells, Timothy J. Williams, Jinjun Xiong, Zhizhen Zhao

Figure 1 for Enabling real-time multi-messenger astrophysics discoveries with deep learning
Figure 2 for Enabling real-time multi-messenger astrophysics discoveries with deep learning
Viaarxiv icon

Eliminating artefacts in Polarimetric Images using Deep Learning

Nov 19, 2019
Dhruv Paranjpye, Ashish Mahabal, A. N. Ramaprakash, Gina Panopoulou, Kieran Cleary, Anthony Readhead, Dmitry Blinov, Kostas Tassis

Figure 1 for Eliminating artefacts in Polarimetric Images using Deep Learning
Figure 2 for Eliminating artefacts in Polarimetric Images using Deep Learning
Figure 3 for Eliminating artefacts in Polarimetric Images using Deep Learning
Figure 4 for Eliminating artefacts in Polarimetric Images using Deep Learning
Viaarxiv icon

New methods to assess and improve LIGO detector duty cycle

Oct 26, 2019
Ayon Biswas, Jess McIver, Ashish Mahabal

Figure 1 for New methods to assess and improve LIGO detector duty cycle
Figure 2 for New methods to assess and improve LIGO detector duty cycle
Figure 3 for New methods to assess and improve LIGO detector duty cycle
Figure 4 for New methods to assess and improve LIGO detector duty cycle
Viaarxiv icon

Deep Learning for Multi-Messenger Astrophysics: A Gateway for Discovery in the Big Data Era

Feb 01, 2019
Gabrielle Allen, Igor Andreoni, Etienne Bachelet, G. Bruce Berriman, Federica B. Bianco, Rahul Biswas, Matias Carrasco Kind, Kyle Chard, Minsik Cho, Philip S. Cowperthwaite, Zachariah B. Etienne, Daniel George, Tom Gibbs, Matthew Graham, William Gropp, Anushri Gupta, Roland Haas, E. A. Huerta, Elise Jennings, Daniel S. Katz, Asad Khan, Volodymyr Kindratenko, William T. C. Kramer, Xin Liu, Ashish Mahabal, Kenton McHenry, J. M. Miller, M. S. Neubauer, Steve Oberlin, Alexander R. Olivas Jr, Shawn Rosofsky, Milton Ruiz, Aaron Saxton, Bernard Schutz, Alex Schwing, Ed Seidel, Stuart L. Shapiro, Hongyu Shen, Yue Shen, Brigitta M. Sipőcz, Lunan Sun, John Towns, Antonios Tsokaros, Wei Wei, Jack Wells, Timothy J. Williams, Jinjun Xiong, Zhizhen Zhao

Viaarxiv icon