The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Inverse Ising Inference Using All the Data
Open accessAbstract
We show that a method based on logistic regression, using all the data, solves the inverse Ising problem far better than mean-field calculations relying only on sample pairwise correlation functions, while still computationally feasible for hundreds of nodes. The largest improvement in reconstruction occurs for strong interactions. Using two examples, a diluted Sherrington-Kirkpatrick model and a two-dimensional lattice, we also show that interaction topologies can be recovered from few samples with good accuracy and that the use of l(1) regularization is beneficial in this process, pushing inference abilities further into low-temperature regimes.
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Cites
A learning algorithm for Boltzmann machines
Ackley, D. H., Hinton, G. E., & Sejnowski, T. J. (1985) · Cognitive Science · doi:10.1207/s15516709cog0901_7 · Cited by 3,402
Morcos, F., Pagnani, A., Lunt, B., Bertolino, A., Marks, D. S., Sander, C., Zecchina, R., Onuchic, J. N., Hwa, T., & Weigt, M. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1111471108 · Cited by 1,434
Cited by
Improved contact prediction in proteins: using pseudolikelihoods to infer Potts models
Ekeberg, M., Lövkvist, C., Lan, Y., Weigt, M., & Aurell, E. (2013) · Physical Review E · doi:10.1103/physreve.87.012707 · Cited by 661
Self-citationSequence co-evolution gives 3D contacts and structures of protein complexes
Hopf, T. A., Schärfe, C. P. I., Rodrigues, J. P. G. L. M., Green, A. G., Kohlbacher, O., Sander, C., Bonvin, A. M. J. J., & Marks, D. S. (2014) · eLife · doi:10.7554/elife.03430 · Cited by 515
Data based identification and prediction of nonlinear and complex dynamical systems
Wang, W.-X., Lai, Y.-C., & Grebogi, C. (2016) · Physics Reports · doi:10.1016/j.physrep.2016.06.004 · Cited by 299
Inverse statistical problems: from the inverse Ising problem to data science
Nguyen, H. C., Zecchina, R., & Berg, J. (2017) · Advances in Physics · doi:10.1080/00018732.2017.1341604 · Cited by 258
Benedetti, M., Realpe-Gómez, J., Biswas, R., & Perdomo-Ortiz, A. (2016) · Physical Review A · doi:10.1103/physreva.94.022308 · Cited by 215
Metadata
- Authors
- Aurell, E., & Ekeberg, M.
- Venue
- Physical Review Letters
- Publisher
- American Physical Society (APS)
- Published
- 2012-03-01
- Volume
- 108
- Issue
- 9
- Pages
- 090201-090201
- ISSN
- 0031-9007 (ISSN-L)
- 1079-7114
- OpenAlex
- W2059151864
- Cited by
- 161
- References
- 2
- FWCI
- 8.04
- Type
- journal article
- Language
- en
- Open access
- green
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