The future of artificial intelligence and the mathematical and physical sciences (AI+MPS)
and 90 more authors
Camille L. Bilodeau, Keith A. Brown, Emmanuel J. Candès, Arghya Chattopadhyay, Bingqing Cheng, J. Clausen, Connor W. Coley, Andrew J. Connolly, F. Daum, Sijia Dong, C. Du, C. Dvorkin, C. Fanelli, Eric B. Ford, L. Frutos, N. G. Trillos, Cecilia Garraffo, R. Ghrist, Rafael Gómez-Bombarelli, G. Guadagni, S. Guggilam, Sergei Gukov, Juan B. Guti'errez, Salman Habib, Johannes Hachmann, Boris Hanin, Philip C. Harris, Murray Holland, Elizabeth Holm, Hsin-Yuan Huang, Shih-Chieh Hsu, Nick Jackson, O. Isayev, Heng Ji, Aggelos K. Katsaggelos, Jeremy Kepner, Y. Kevrekidis, M. Kuchera, J. N. Kutz, B. Lalić, Ann Lee, Matt LeBlanc, Josiah Lim, Rebecca Lindsey, Yongmin Liu, P. Lu, Sudhir Malik, V. Mandic, V. Manian, Emeka P. Mazi, Pankaj Mehta, P. Melchior, B. M'enard, J. Ngadiuba, S. Offner, Elsa Olivetti, S. Ong, Chris Rackauckas, P. Rigollet, Chad Risko, Philip A. Romero, Grant M. Rotskoff, Brett Savoie, U. Seljak, David Shih, G. Shiu, Dima Shlyakhtenko, Eva Silverstein, Taylor D. Sparks, Thomas Strohmer, C. Stubbs, Stephen Thomas, Suriyanarayanan Vaikuntanathan, René Vidal, F. Villaescusa-Navarro, Gregory A. Voth, Benjamin Dan Wandelt, R. Ward, Melanie Weber, Risa Wechsler, Stephen Whitelam, Olaf Wiest, Mike Williams, Zhuoran Yang, Yaroslava G. Yingling, Bin Yu, Shuwen Yue, A. Zabludoff, Huimin Zhao, Tong Zhang
Journal: Machine Learning: Science and Technology