87 citations · 88 across the 10 of their papers we have counts for
5 papers · 1 filter
Scaling of Capability and Efficiency at Inference Time in Large Reasoning Models
Moritz Laber, Zohair Shafi, Germans Savcisens +6
Capability and efficiency are two key dimensions of reasoning in large language models (LLMs). Capability refers to the ability to solve a given problem correctly, whereas efficien…
Percolation in the Stochastic Block Model
Luca Pieleanu, Moritz Laber, Narayan G. Sabhahit +1
The stochastic block model is a paradigmatic model of networks with community structure. Yet percolation in the model has been studied primarily in cases with a fixed block structu…
A Guide to Higher-Order Homophily
Moritz Laber, Brennan Klein
Homophily, the overrepresentation of interactions among similar individuals, and heterophily, the elevated prevalence of interactions among dissimilar ones, are frequently observed…
When do neural ordinary differential equations generalize on complex networks?
Moritz Laber, Tina Eliassi-Rad, Brennan Klein
Neural ordinary differential equations (neural ODEs) can effectively learn dynamical systems from time series data, but their behavior on graph-structured data remains poorly under…
DeepWeightFlow: Re-Basined Flow Matching for Generating Neural Network Weights
Saumya Gupta, Scott Biggs, Moritz Laber +3
Building efficient and effective generative models for neural network weights has been a research focus of significant interest that faces challenges posed by the high-dimensional…