Redatuming physical systems using symmetric autoencoders
This paper considers physical systems described by hidden states and indirectly observed through repeated measurements corrupted by unmodeled nuisance parameters. A network-based representation learns to disentangle the coherent information (relative to the state) from the incoherent nuisance inform...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
American Physical Society
2022-05-01
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| Series: | Physical Review Research |
| Online Access: | http://doi.org/10.1103/PhysRevResearch.4.023118 |
| _version_ | 1797210753289158656 |
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| author | Pawan Bharadwaj Matthew Li Laurent Demanet |
| author_facet | Pawan Bharadwaj Matthew Li Laurent Demanet |
| author_sort | Pawan Bharadwaj |
| collection | DOAJ |
| description | This paper considers physical systems described by hidden states and indirectly observed through repeated measurements corrupted by unmodeled nuisance parameters. A network-based representation learns to disentangle the coherent information (relative to the state) from the incoherent nuisance information (relative to the sensing). Instead of physical models, the representation uses symmetry and stochastic regularization to inform an autoencoder architecture called SymAE. It enables redatuming, i.e., creating virtual data instances where the nuisances are uniformized across measurements. |
| first_indexed | 2024-04-24T10:15:36Z |
| format | Article |
| id | doaj.art-d5bc5b631afa4abc808febabe0f07e2f |
| institution | Directory Open Access Journal |
| issn | 2643-1564 |
| language | English |
| last_indexed | 2024-04-24T10:15:36Z |
| publishDate | 2022-05-01 |
| publisher | American Physical Society |
| record_format | Article |
| series | Physical Review Research |
| spelling | doaj.art-d5bc5b631afa4abc808febabe0f07e2f2024-04-12T17:20:51ZengAmerican Physical SocietyPhysical Review Research2643-15642022-05-014202311810.1103/PhysRevResearch.4.023118Redatuming physical systems using symmetric autoencodersPawan BharadwajMatthew LiLaurent DemanetThis paper considers physical systems described by hidden states and indirectly observed through repeated measurements corrupted by unmodeled nuisance parameters. A network-based representation learns to disentangle the coherent information (relative to the state) from the incoherent nuisance information (relative to the sensing). Instead of physical models, the representation uses symmetry and stochastic regularization to inform an autoencoder architecture called SymAE. It enables redatuming, i.e., creating virtual data instances where the nuisances are uniformized across measurements.http://doi.org/10.1103/PhysRevResearch.4.023118 |
| spellingShingle | Pawan Bharadwaj Matthew Li Laurent Demanet Redatuming physical systems using symmetric autoencoders Physical Review Research |
| title | Redatuming physical systems using symmetric autoencoders |
| title_full | Redatuming physical systems using symmetric autoencoders |
| title_fullStr | Redatuming physical systems using symmetric autoencoders |
| title_full_unstemmed | Redatuming physical systems using symmetric autoencoders |
| title_short | Redatuming physical systems using symmetric autoencoders |
| title_sort | redatuming physical systems using symmetric autoencoders |
| url | http://doi.org/10.1103/PhysRevResearch.4.023118 |
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