Selected Configuration Interaction Using Time-Evolved Population Statistics. [PDF]
J Chem Theory ComputWeaving T +3 more
europepmc +1 more source
A tutorial on Bayesian model averaging for exponential random graph models
British Journal of Mathematical and Statistical Psychology, EarlyView.Abstract The use of exponential random graph models (ERGMs) is becoming prevalent in psychology due to their ability to explain and predict the formation of edges between vertices in a network. Valid inference with ERGMs requires correctly specifying endogenous and exogenous effects as network statistics, guided by theory, to represent the network ...
Ihnwhi Heo +2 more
wiley +1 more source
New heuristics for phylogeny estimation under the balanced minimum evolution criterion. [PDF]
BioinformaticsCatanzaro D, Dehaybe H, Pesenti R.
europepmc +1 more source
LLM‐based prior elicitation for Bayesian graphical modeling
British Journal of Mathematical and Statistical Psychology, EarlyView.ABSTRACT In the Bayesian graphical modeling framework, priors on network structure encode theoretical assumptions and uncertainty about the topology of psychological constructs under study. For instance, the Bernoulli prior specifies the probability of each pairwise interaction, the Beta–Bernoulli prior governs expected network density, and the ...
Nikola Sekulovski +2 more
wiley +1 more source
Graph alignment exploiting the spatial organization improves the similarity of brain networks. [PDF]
Hum Brain MappCalissano A +3 more
europepmc +1 more source
Variable‐Rate Texture Compression: Real‐Time Rendering with JPEG
Computer Graphics Forum, EarlyView.Abstract Although variable‐rate compressed image formats such as JPEG are widely used to efficiently encode images, they have not found their way into real‐time rendering due to special requirements such as random access to individual texels. In this paper, we investigate the feasibility of variable‐rate texture compression on modern GPUs using the ...
Elias Kristmann +2 more
wiley +1 more source
Accurate and efficient prediction of double excitation energies using the particle-particle random phase approximation. [PDF]
J Chem PhysYu J, Li J, Zhu T, Yang W.
europepmc +1 more source
Self‐supervised Learning of Fine‐to‐Coarse Cuboid Shape Abstraction
Computer Graphics Forum, EarlyView.Abstract The abstraction of 3D objects with simple geometric primitives like cuboids allows us to infer structural information from complex geometry. It is important for 3D shape understanding, structural analysis and geometric modeling. We introduce a novel fine‐to‐coarse self‐supervised learning approach to abstract collections of 3D shapes.
Gregor Kobsik +6 more
wiley +1 more source
Survey on differential estimators for 3d point clouds
Computer Graphics Forum, EarlyView.Abstract Recent advancements in 3D scanning technologies, including LiDAR and photogrammetry, have enabled the precise digital replication of real‐world objects. These methods are widely used in fields such as GIS, robotics, and cultural heritage. However, the point clouds generated by such scans are often noisy and unstructured, posing challenges for ...
Léo Arnal–Anger +4 more
wiley +1 more source
Compaction of chromatin domains regulates target search times of proteins. [PDF]
PLoS Comput BiolDutta S +3 more
europepmc +1 more source