Khovanov Laplacian and Khovanov Dirac for knots and links. [PDF]
Jones B, Wei GW.
europepmc +1 more source
ESPLSM: An Efficient and Interpretable Mediation Analysis Framework Using Sparse Envelopes
ABSTRACT Mediation analysis is a fundamental tool for understanding biological mechanisms through which an exposure exerts its effect on an outcome via intermediate variables, or mediators. However, modern biomedical studies often involve multiple exposures and mediators with complex correlation structures, and may also involve multiple outcomes, as in
Yeonhee Park, Zhihua Su
wiley +1 more source
Beyond Euclid: an illustrated guide to modern machine learning with geometric, topological, and algebraic structures. [PDF]
Papillon M +10 more
europepmc +1 more source
Interpretable Machine Learning: A Comprehensive Review of Foundations, Methods, and the Path Forward
This systematic review of 352 studies establishes a comprehensive taxonomy for Interpretable Machine Learning, transitioning from foundational intrinsic models to advanced deep learning explanations. It reveals a critical paradigm shift toward “mechanistic interpretability” and actionable recourse, emphasizing that future AI systems must be rigorously ...
Shimon Fridkin, Michael Bendersky
wiley +1 more source
Theory of dynamical superradiance in organic materials. [PDF]
Freter L +5 more
europepmc +1 more source
Cenozoic Subduction Polarity Reversal Within the Celebes Sea Inferred From Teleseismic Tomography
Abstract Sulawesi and Borneo are tectonically complex islands with multistage subduction histories stretching back through the Cenozoic. Seismic studies have played an important role in helping to unravel this history, with spatial distributions of earthquakes tracking actively subducting slabs. In contrast, old or relict aseismic slabs are illuminated
Y. Li +6 more
wiley +1 more source
The phase diagram of quantum chromodynamics in one dimension on a quantum computer. [PDF]
Than AT +10 more
europepmc +1 more source
Latent Data Assimilation for Efficient and Accurate Groundwater Modeling
Abstract Groundwater model predictions are often inaccurate due to uncertainties in model structure, heterogeneous parameters, and initial conditions, leading to error accumulation during simulations. Traditional data assimilation (DA) faces severe computational challenges in high‐dimensional systems due to the costly inversion of large covariance ...
Yongda Liu +3 more
wiley +1 more source
Dynamical Systems on Graph Limits and Their Symmetries. [PDF]
Bick C, Sclosa D.
europepmc +1 more source
Abstract In order to predict future performance of subsurface fluid reservoirs under possible operating scenarios, a dynamic, porous‐medium flow simulation model must be tuned to include representative properties of the reservoir. Estimating subsurface reservoir properties given remotely sensed or borehole‐based observations typically involves finding ...
Zhen Zhang, Xuebin Zhao, Andrew Curtis
wiley +1 more source

