Michal Branicki

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Education/Academic qualification

Mathematics, Doctor of Philosophy (PhD), Univ Cambridge

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30 Article
3 Chapter (peer-reviewed)
1 Chapter
1 Paper

Path-based divergence rates and Lagrangian uncertainty in stochastic flows
Branicki, M. & Uda, K., 19 Jul 2022, (Accepted/In press) In: Siam Journal on Applied Dynamical Systems.
Research output: Contribution to journal › Article › peer-review

Open Access
File
Lagrangian uncertainty quantification and information inequalities for stochastic flows
Branicki, M. & Uda, K., 16 Sept 2021, In: SIAM-ASA Journal on Uncertainty Quantification. 9, 3, p. 1242-1313 72 p.
Research output: Contribution to journal › Article › peer-review

Open Access
Seismic Interferometry from Correlated Noise Sources
Ayala-garcia, D., Curtis, A. & Branicki, M., 9 Jul 2021, In: Remote Sensing. 13, 14, 2703.
Research output: Contribution to journal › Article › peer-review

Open Access
File
Lagrangian Uncertainty Quantification and Information Inequalities in Stochastic Flows
Branicki, M. & Uda, K., 30 Jun 2021, (Accepted/In press) In: SIAM/ASA Journal on Uncertainty Quantification. 61 p.
Research output: Contribution to journal › Article › peer-review

Open Access
Time-periodic measures, random periodic orbits, and the linear response for non-autonomous stochastic differential equations
Branicki, M. & Uda, K., 22 Jun 2021, In: Research in the Mathematical Sciences. 8, 56 p., 42.
Research output: Contribution to journal › Article › peer-review

Open Access
File

Quantifying Internal Similarity of High-Dimensional Machine Learning Models
Branicki, M.
Ministry Of Defence
1/09/23 → 31/01/24
Project: Research
Geometry of information flow and uncertainty quantification for robust neural network architectures in deep learning
Branicki, M.
Office of Naval Research
1/06/20 → 31/12/23
Project: Research
Geometry of information flow and uncertainty quantification for robust neural network architectures in deep learning
Branicki, M.
Non-EU other
1/06/20 → 31/05/23
Project: Research
Turing Fellow
Branicki, M.
UK-based charities
1/09/17 → 31/08/20
Project: Research
Prediction and Data Assimilation for Non-Local Diffusions. From Crack Propagation and Anomalous Diffusion to Random Graphs and the Arctic Sea Ice
Branicki, M.
Non-EU other
1/08/17 → 30/06/18
Project: Research

Michal Branicki

Personal profile

Education/Academic qualification

Fingerprint

Collaborations and top research areas from the last five years

Dive into details

Path-based divergence rates and Lagrangian uncertainty in stochastic flows

Lagrangian uncertainty quantification and information inequalities for stochastic flows

Seismic Interferometry from Correlated Noise Sources

Lagrangian Uncertainty Quantification and Information Inequalities in Stochastic Flows

Time-periodic measures, random periodic orbits, and the linear response for non-autonomous stochastic differential equations

Quantifying Internal Similarity of High-Dimensional Machine Learning Models

Geometry of information flow and uncertainty quantification for robust neural network architectures in deep learning

Geometry of information flow and uncertainty quantification for robust neural network architectures in deep learning

Turing Fellow

Prediction and Data Assimilation for Non-Local Diffusions. From Crack Propagation and Anomalous Diffusion to Random Graphs and the Arctic Sea Ice

Michal Branicki

Personal profile

Education/Academic qualification

Fingerprint

Collaborations and top research areas from the last five years

Research output

Projects