177 citations · 519 across the 32 of their papers we have counts for
36 papers
Expectation and Variance of the Degree of a Node in Random Spanning Trees
Enrique Fita Sanmartín, Christoph Schnörr, Fred A. Hamprecht
We consider a Gibbs distribution over all spanning trees of an undirected, edge weighted finite graph, where, up to normalization, the probability of each tree is given by the prod…
Truth is Universal: Robust Detection of Lies in LLMs
Lennart Bürger, Fred A. Hamprecht, Boaz Nadler
Large Language Models (LLMs) have revolutionised natural language processing, exhibiting impressive human-like capabilities. In particular, LLMs are capable of "lying", knowingly o…
The Central Spanning Tree Problem
Enrique Fita Sanmartín, Christoph Schnörr, Fred A. Hamprecht
Spanning trees are an important primitive in many data analysis tasks, when a data set needs to be summarized in terms of its "skeleton", or when a tree-shaped graph over all obser…
Geometric Autoencoders -- What You See is What You Decode
Philipp Nazari, Sebastian Damrich, Fred A. Hamprecht
Visualization is a crucial step in exploratory data analysis. One possible approach is to train an autoencoder with low-dimensional latent space. Large network depth and width can…
KineticNet: Deep learning a transferable kinetic energy functional for orbital-free density functional theory
Roman Remme, Tobias Kaczun, Maximilian Scheurer +2
Orbital-free density functional theory (OF-DFT) holds the promise to compute ground state molecular properties at minimal cost. However, it has been held back by our inability to c…
Theory and Approximate Solvers for Branched Optimal Transport with Multiple Sources
Peter Lippmann, Enrique Fita Sanmartín, Fred A. Hamprecht
Branched Optimal Transport (BOT) is a generalization of optimal transport in which transportation costs along an edge are subadditive. This subadditivity models an increase in tran…