Combinatorial approaches to Hopf bifurcations in systems of interacting elements
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Some Results on Injectivity and Multistationarity in Chemical Reaction Networks
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CoNtRol: an open source framework for the analysis of chemical reaction networks
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Neural Q-learning for solving PDEs
 Cohen, S Jiang, D Sirignano, J Journal of Machine Learning Research volume 24 issue 236 1−49 (19 Jun 2023)
Neural Q-learning for solving PDEs
 Cohen, S Jiang, D Sirignano, J Journal of Machine Learning Research volume 24 issue 236 1−49 (19 Jun 2023)
Scaling in Stock Market Data: Stable Laws and Beyond
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Exploiting matrix structure for faster algorithms

In many modern applications, a key bottleneck is the solution of a matrix problem of the form Ax=b where A is a large matrix. In numerical weather prediction, such systems arise as a sub-problem within data assimilation algorithms. In this setting, finding the most likely initial condition with which to initialise a forecast is equivalent to finding the (approximate) solution x.

Structured Networks and Coarse‐Grained Descriptions
 Schaub, M Delvenne, J Lambiotte, R Barahona, M Advances in Network Clustering and Blockmodeling 333-361 (23 Nov 2019) doi:10.1002/9781119483298.ch12
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