Author

Kirill Tamogashev

View on Semantic Scholar

2 papers indexed here

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

#machine learning Oct 2025

Multi-Marginal Flow Matching with Adversarially Learnt Interpolants

This paper proposes a novel flow matching method that overcomes the limitations of existing multi-marginal trajectory inference algorithms, using a GAN-inspired adversarial loss to fit neurally parametrised interpolant curves between source and target points such that the marginal distributions at intermediate time points are close to the observed distributions.

Oskar Kviman, Kirill Tamogashev, Nicola Branchini et al. · arXiv.org · 2 citations

#machine learning Sep 2025

Data-to-Energy Stochastic Dynamics

This paper proposes the first general method for modelling Schr\"odinger bridges when one (or both) distributions are given by their unnormalised densities, with no access to data samples, and applies the newly developed algorithm to the problem of sampling posterior distributions in latent spaces of generative models, thus creating a data-free image-to-image translation method.

Kirill Tamogashev, Esmeralda S. Whitammer · arXiv.org · 4 citations