By Dr Upanshu Sharma

Preprints

Montefusco A; Sharma U; Tse O, 2022, Fourier-Cattaneo equation: stochastic origin, variational formulation, and asymptotic limits, http://arxiv.org/abs/2211.07265v1

Renger DRM; Sharma U, 2022, Untangling Dissipative and Hamiltonian effects in bulk and boundary driven systems, http://arxiv.org/abs/2205.05327v2

Hilder B; Sharma U, 2022, Quantitative coarse-graining of Markov chains, http://arxiv.org/abs/2201.10256v2

Patterson RIA; Renger DRM; Sharma U, 2021, Variational structures beyond gradient flows: a macroscopic fluctuation-theory perspective, http://arxiv.org/abs/2103.14384v2

Breiten T; Hartmann C; Neureither L; Sharma U, 2021, Stochastic gradient descent and fast relaxation to thermodynamic equilibrium: a stochastic control approach, http://dx.doi.org/10.1063/5.0051796

Sharma U; Zhang W, 2020, Non-reversible sampling schemes on submanifolds, http://arxiv.org/abs/2011.02835v2

Hartmann C; Neureither L; Sharma U, 2019, Coarse-graining of non-reversible stochastic differential equations: quantitative results and connections to averaging, http://arxiv.org/abs/1911.06081v2

Hilder B; Peletier MA; Sharma U; Tse O, 2018, An inequality connecting entropy distance, Fisher Information and large deviations, http://arxiv.org/abs/1812.04358v1

Legoll F; Lelièvre T; Sharma U, 2018, Effective dynamics for non-reversible stochastic differential equations: a quantitative study, http://dx.doi.org/10.1088/1361-6544/ab34bf

Duong MH; Lamacz A; Peletier MA; Schlichting A; Sharma U, 2017, Quantification of coarse-graining error in Langevin and overdamped Langevin dynamics, http://dx.doi.org/10.1088/1361-6544/aaced5

Duong MH; Lamacz A; Peletier MA; Sharma U, 2015, Variational approach to coarse-graining of generalized gradient flows, http://arxiv.org/abs/1507.03207v2

Sharma U; Duits R, 2013, Left-invariant evolutions of wavelet transforms on the Similitude Group, http://arxiv.org/abs/1306.1800v3

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