Publications 2019

Circuit-theory applications to connectivity science and conservation
B.G. Dickson, C.M. Albano, R. Anantharaman, P. Beier, J. Fargione, T.A. Graves, M.E. Gray, K.R. Hall, J.J. Lawler, P.B. Leonard, C.E. Littlefield, M.L. McClure, J. Novembre, C.A. Schloss, N.H. Schumaker, V.B. Shah, D.M. Theobald.
Conservation Biology (2019). DOI:10.1111/cobi.13230.
Confederated modular differential equation APIs for accelerated algorithm development and benchmarking
C. Rackauckas, Q. Nie.
Advances in Engineering Software (2019). DOI:10.1016/j.advengsoft.2019.03.009.
Highly-Ccalable , physics-informed GANs for learning solutions of stochastic PDEs
L. Yang, S. Treichler, T. Kurth, K. Fischer, D. Barajas-Solano, J. Romero, V. Churavy, A. Tartakovsky, M. Houston, Prabhat, G. Karniadakis.
Proceedings of DLS 2019: Deep Learning on Supercomputers - Held in conjunction with SC 2019: The International Conference for High Performance Computing , Networking , Storage and Analysis (2019). DOI:10.1109/DLS49591.2019.00006.
On computing Schur functions and series thereof
C. Chan, V. Drensky, A. Edelman, R. Kan, P. Koev.
Journal of Algebraic Combinatorics (2019). DOI:10.1007/s10801-018-0846-y.
Rapid software prototyping for heterogeneous and distributed platforms
T. Besard, V. Churavy, A. Edelman, B.D. Sutter.
Advances in Engineering Software (2019). DOI:10.1016/j.advengsoft.2019.02.002.
Sparsity Programming: Automated Sparsity-Aware Optimizations in Differentiable Programming
S. Gowda, Y. Ma, V. Churavy, A. Edelman, C. Rackauckas.
NeurIPS 2019 Program Transformations for Machine Learning Workshop (2019).