collaborators

7 papers

math.PR2026

Logarithmic derivatives of variational and singular stochastic partial differential equations

Ehsan Mirafzali, Frank Proske, Razvan Marinescu

For a stochastic partial differential equation posed on a Gelfand triple and satisfying the fully local monotone conditions of Röckner, Shang and Zhang, we compute the logarithmic…

cs.CV2026

Spinverse: Differentiable Physics for Permeability-Aware Microstructure Reconstruction from Diffusion MRI

Prathamesh Pradeep Khole, Mario M. Brenes, Zahra Kais Petiwala +5

Diffusion MRI (dMRI) is sensitive to microstructural barriers, yet most existing methods either assume impermeable boundaries or estimate voxel-level parameters without recovering…

cs.LG2026

Holographic generative flows with AdS/CFT

Ehsan Mirafzali, Sanjit Shashi, Sanya Murdeshwar +3

Holography, in the form of the anti-de Sitter/conformal field theory (AdS/CFT) correspondence, offers a natural setting for generative modelling. Data on a boundary manifold lifts…

math.PR2025

Score-Based Diffusion Models in Infinite Dimensions: A Malliavin Calculus Perspective

Ehsan Mirafzali, Frank Proske, Daniele Venturi +1

We study score-based diffusion modelling in infinite-dimensional separable Hilbert spaces through Malliavin calculus, extending the analysis of generative models beyond the finite-…

stat.ML2025

A Malliavin calculus approach to score functions in diffusion generative models

Ehsan Mirafzali, Frank Proske, Utkarsh Gupta +2

Score-based diffusion generative models have recently emerged as a powerful tool for modelling complex data distributions. These models aim at learning the score function, which de…

cs.LG2025

Malliavin Calculus for Score-based Diffusion Models

Ehsan Mirafzali, Utkarsh Gupta, Patrick Wyrod +3

We introduce a new framework based on Malliavin calculus to derive exact analytical expressions for the score function , i.e., the gradient of the log-density a…

eess.IV2025

ReMiDi: Reconstruction of Microstructure Using a Differentiable Diffusion MRI Simulator

Prathamesh Pradeep Khole, Zahra Kais Petiwala, Shri Prathaa Magesh +5

We propose ReMiDi, a novel method for inferring neuronal microstructure as arbitrary 3D meshes using a differentiable diffusion Magnetic Resonance Imaging (dMRI) simulator. We firs…