Tony Shardlow

1. Cheltsov, I., Cornalba, F., Poon, C., & Shardlow, T. (2024) Hadamard–Langevin dynamics for sampling sparse priors.
   arXiv:2411.11403
    
   bib

   @online{hadamard2024,
     author = {Cheltsov, I. and Cornalba, F. and Poon, C. and Shardlow, T.},
     title = {Hadamard--Langevin dynamics for sampling sparse priors},
     eprinttype = {arxiv},
     eprint = {2411.11403},
     note = {arXiv:2411.11403},
     year = {2024}
   }
   

2. Paul, A., Campbell, N., & Shardlow, T. (2024) Sparse Nystrom Approximation of Currents and Varifolds.
   arXiv:2406.09932
    
   bib

   @online{allen1,
     author = {Paul, A. and Campbell, N. and Shardlow, T.},
     title = {Sparse Nystrom Approximation of Currents and Varifolds},
     eprinttype = {arxiv},
     eprint = {2406.09932},
     note = {arXiv:2406.09932},
     year = {2024}
   }
   

1. Cornalba, F. & Shardlow, T. (2023) The Regularised Inertial Dean-Kawasaki equation: discontinuous Galerkin approximation and modelling for low-density regime. ESAIM: Mathematical Modelling and Numerical Analysis, DOI: 10.1051/m2an/2023077.
      
   bib

   @article{2207.09989,
     author = {Cornalba, Federico and Shardlow, Tony},
     title = {The Regularised Inertial {Dean-Kawasaki} equation: discontinuous Galerkin approximation and modelling for low-density regime},
     year = {2023},
     doi = {10.1051/m2an/2023077},
     journal = {ESAIM: Mathematical Modelling and Numerical Analysis},
     eprinttype = {arxiv},
     eprint = {2207.09989},
     github = {tonyshardlow/RIDK-FD}
   }
   

2. Delos Reyes, J. (2023) Mathematical modelling of agrochemical uptake across leaf cuticle (PhD thesis).
   bib

   @phdthesis{reyes:phd,
     author = {{Delos Reyes}, J.},
     title = {Mathematical modelling of agrochemical uptake across leaf cuticle},
     school = {University of Bath, co-supervised with K. A. J. White, B. Delgado-Charro},
     year = {2023},
     uni = {researchportal.bath.ac.uk/en/studentTheses/mathematical-modelling-of-agrochemical-uptake-across-leaf-cuticle}
   }
   

3. Delos Reyes, J., Shardlow, T., Delgado-Charro, M.B., Webb, S., & White, K.A.J. (2023) Mathematical Modelling of Droplet Evaporation and Surfactant Effects on Pesticide Leaf Uptake.
    
   bib

   @online{delosreyes2023,
     author = {{Delos Reyes}, J. and Shardlow, T. and Delgado-Charro, M. B. and Webb, S. and White, K. A. J.},
     title = {Mathematical Modelling of Droplet Evaporation and Surfactant Effects on Pesticide Leaf Uptake},
     year = {2023},
     eprinttype = {SSRN},
     eprint = {4331165},
     url = {https://ssrn.com/abstract=4331165}
   }
   

4. Firmo, M. (2023) Numerical Methods and Bayesian Inference for Nuclear Magnetic Resonance (PhD thesis).
   bib

   @phdthesis{firmo:phd,
     author = {Firmo, M.},
     title = {Numerical Methods and Bayesian Inference for Nuclear Magnetic Resonance},
     school = {University of Bath, co-supervised with  S. Gazzola and E. Fordham},
     year = {2023},
     uni = {researchportal.bath.ac.uk/en/studentTheses/numerical-methods-and-bayesian-inference-for-nuclear-magnetic-res}
   }
   

5. Deveney, T., Mueller, E., & Shardlow, T. (2023) Deep surrogate accelerated delayed-acceptance Hamiltonian Monte Carlo for Bayesian inference of spatio-temporal heat fluxes in rotating disc systems. SIAM Uncertainty Quantification, DOI: 10.1137/22M1513113.
      
   bib

   @article{teo_hmc,
     author = {Deveney, T. and Mueller, E. and Shardlow, T.},
     title = {Deep surrogate accelerated delayed-acceptance Hamiltonian Monte Carlo for Bayesian inference of spatio-temporal heat fluxes in rotating disc systems},
     eprinttype = {arxiv},
     eprint = {2204.02272},
     journal = {SIAM Uncertainty Quantification},
     doi = {10.1137/22M1513113},
     year = {2023},
     vol = {11},
     number = {3}
   }
   

6. Wang, F., Poon, C., & Shardlow, T. (2023) Compressed online Sinkhorn.
   arXiv:2310.05019
    
   bib

   @online{peggy_cos,
     author = {Wang, F. and Poon, C. and Shardlow, T.},
     title = {Compressed online Sinkhorn},
     eprinttype = {arxiv},
     eprint = {2310.05019},
     note = {arXiv:2310.05019},
     year = {2023}
   }
   

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