Abstract: In this paper, the enhanced phase-locked loop (EPLL) is modified to achieve a linear time invariant (LTI) and a pseudolinear (PL) EPLL called the LTI-EPLL and the PL-EPLL, respectively. The ...
[Update] Interested in faster and more accurate structure learning? See our new dagrad library for developing and experimenting with newer differentiable (gradient-based) structure learning methods.
3 Department of Sociology, University of Michigan, Ann Arbor, Michigan, USA 4 Ford School of Public Policy, University of Michigan, Ann Arbor, Michigan, USA 5 Division of General Medicine, Department ...
ALPS is a parallelised numerical code that solves the Vlasov-Maxwell dispersion relation in hot (even relativistic) magnetised plasma. ALPS allows for any number of particle species with arbitrary ...
Structure: DNA is composed of two long chains of nucleotides forming a double helix. The nucleotides within each strand are joined together through covalent (specifically phosphodiester) bonds between ...
Abstract: In this paper, a Variational Autoencoder (VAE) based framework is introduced to solve parameter estimation problems for non-linear forward models. In particular, we focus on applications in ...
We collected 11,045 3D models from published studies, converted them to g3d format and built corresponding data hubs, including 3D models generated from single-cell studies (Supplementary Fig. 4 and ...
Protein structure prediction is our Method of the Year 2021, for the remarkable levels of accuracy achieved by deep learning-based methods in predicting the 3D structures of proteins and protein ...
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