activity
20162026
most citedInformed Machine Learning -- A Taxonomy and Survey of Integrating Knowledge into Learning Systems

806 citations · 852 across the 16 of their papers we have counts for

collaborators

21 papers

math.AG2026

On the atomic decomposition of complete intersection in flag varieties

Boris Alexeev, Leonardo F. Cavenaghi, Giovane Galindo +3

We develop a root-theoretic localization formalism for genus-zero Gromov--Witten invariants of flag varieties and of smooth zero loci of globally generated homogeneous vector bundl…

cs.LG2021★ 1 cited

Combining expert knowledge and neural networks to model environmental stresses in agriculture

Kostadin Cvejoski, Jannis Schuecker, Anne-Katrin Mahlein +1

In this work we combine representation learning capabilities of neural network with agricultural knowledge from experts to model environmental heat and drought stresses. We first d…

cs.LG2021

On the Impact of Stable Ranks in Deep Nets

Bogdan Georgiev, Lukas Franken, Mayukh Mukherjee +1

A recent line of work has established intriguing connections between the generalization/compression properties of a deep neural network (DNN) model and the so-called layer weights'…

math.AP2021

Some applications of heat flow to Laplace eigenfunctions

Bogdan Georgiev, Mayukh Mukherjee

We consider mass concentration properties of Laplace eigenfunctions , that is, smooth functions satisfying the equation , on a smooth closed Riemannian manifold.…

stat.ML2021★ 3 cited

A prior-based approximate latent Riemannian metric

Georgios Arvanitidis, Bogdan Georgiev, Bernhard Schölkopf

Stochastic generative models enable us to capture the geometric structure of a data manifold lying in a high dimensional space through a Riemannian metric in the latent space. Howe…

math.NT2021

On Dirichlet eigenvalues of regular polygons

David Berghaus, Bogdan Georgiev, Hartmut Monien +1

We prove that the first Dirichlet eigenvalue of a regular -gon of area has an asymptotic expansion of the form as , where $λ_…