Jonas Lill

most citedGraph-convolution neural network-based flexible docking utilizing coarse-grained distance matrix

1 citations · 1 across the 2 of their papers we have counts for

collaborators

3 papers

cs.DS2025

A Levelset Algorithm for 3D-Tarski

Sebastian Haslebacher, Jonas Lill

We present a simple new algorithm for finding a Tarski fixed point of a monotone function $F : [N]^{3} \to [N]^{3}$ . Our algorithm runs in $O (lo g^{2} N)$ time and makes $O(\log^…

cs.CC2025

Query-Efficient Fixpoints of $ℓ_{p}$ -Contractions

Sebastian Haslebacher, Jonas Lill, Patrick Schnider +1

We prove that an $ε$ -approximate fixpoint of a map $f : [0, 1]^{d} \to [0, 1]^{d}$ can be found with $O (d^{2} (lo g \frac{1}{ε} + lo g \frac{1}{1 - λ}))$ queries to $f$ if $f$ is $…

q-bio.BM2020★ 1 cited

Graph-convolution neural network-based flexible docking utilizing coarse-grained distance matrix

Amr H. Mahmoud, Jonas F. Lill, Markus A. Lill

Prediction of protein-ligand complexes for flexible proteins remains still a challenging problem in computational structural biology and drug design. Here we present two novel deep…

A Levelset Algorithm for 3D-Tarski

Query-Efficient Fixpoints of ℓp​-Contractions

Graph-convolution neural network-based flexible docking utilizing coarse-grained distance matrix

Query-Efficient Fixpoints of $ℓ_{p}$ -Contractions