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
Cont, R
Potters, M
Bouchaud, J
Scale Invariance and Beyond
75-85
(1997)
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)
Different Approaches to Community Detection
Rosvall, M
Delvenne, J
Schaub, M
Lambiotte, R
Advances in Network Clustering and Blockmodeling
105-119
(23 Nov 2019)
Higher Analytic Torsion, Polylogarithms and Norm Compatible Elements on Abelian Schemes
Kings, G
Rössler, D
Geometry, Analysis and Probability
volume 310
99-126
(27 Apr 2017)
Chains of Large Gaps Between Primes
Ford, K
Maynard, J
Tao, T
Irregularities in the Distribution of Prime Numbers
1-21
(05 Jul 2018)
Sums of Two Squares in Short Intervals
Maynard, J
Analytic Number Theory
253-273
(2015)
Test Models for Statistical Inference: Two-Dimensional Reaction Systems Displaying Limit Cycle Bifurcations and Bistability
Plesa, T
Vejchodský, T
Erban, R
Stochastic Processes, Multiscale Modeling, and Numerical Methods for Computational Cellular Biology
3-27
(05 Oct 2017)