Michael R DeWeese
researcher
Facts
12 properties- Instance of
- human
- Date of birth
- 1965
- Occupation
- physicist
- Educated at
- Princeton University (?–1995)[4]
- Doctoral advisor
- William Bialek[5]
- Doctoral student
- Jascha Sohl-Dickstein[7]
- Imported from
- wholeness_audit_2026-05-02
- Maintained by WikiProject
- WikiProject Mathematics[11]
🏷️ Also known as
en Michael DeWeese
en Michael R DeWeese
🔖 Identifiers · 12
- ISNI
- 000000005075205X
- ORCID iD
- 0000-0003-2801-5768
- VIAF cluster ID
- 17112316
- Library of Congress authority ID
- nr95015379
- OpenAlex ID
- A5031274513as of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
- Academic Tree ID
- 174
- DBLP author ID
- 44/10997
- Google Knowledge Graph ID
- /g/11f0sgx91_
- Google Scholar author ID
- DZ9-LmkAAAAJ
- MR Author ID
- 960305
- Mathematics Genealogy Project ID
- 297181
- ZbMATH author ID
- deweese.michael-r
📚 Sources · 1
📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 8
Autonomous adaptive data acquisition for scanning hyperspectral imaging,
Efficient sensory coding of multidimensional stimuli,
Engineered swift equilibration for arbitrary geometries,
Heterogeneous Synaptic Weighting Improves Neural Coding in the Presence of Common Noise,
Limited-control optimal protocols arbitrarily far from equilibrium,
Optimal control of overdamped systems,
Optimal finite-time Brownian Carnot engine,
Time resolution dependence of information measures for spiking neurons: scaling and universality
← Authored by 8
Autonomous adaptive data acquisition for scanning hyperspectral imaging,
Efficient sensory coding of multidimensional stimuli,
Engineered swift equilibration for arbitrary geometries,
Heterogeneous Synaptic Weighting Improves Neural Coding in the Presence of Common Noise,
Limited-control optimal protocols arbitrarily far from equilibrium,
Optimal control of overdamped systems,
Optimal finite-time Brownian Carnot engine,
Time resolution dependence of information measures for spiking neurons: scaling and universality
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