Convex Optimization Methods for Dimension Reduction and Coefficient
  Estimation in Multivariate Linear Regression
Efficiency Assessment of Approximated Spatial Predictions for Large
  Datasets
Kuratowski monoids of $n$-topological spaces Bayesian approach to model-based extrapolation of nuclear observables A feed-forward neural network as a nonlinear dynamics integrator for
  supercontinuum generation Generating Randomness from a Computable, Non-random Sequence of Qubits Is J enough? Comparison of gravitational waves emitted along the total
  angular momentum direction with other preferred orientations Binding Blocks: building the Universe one nucleus at the time Recurrent neural networks that generalize from examples and optimize by
  dreaming A Two-Stage Approach to Device-Robust Acoustic Scene Classification Coulomb effects in the absorbance spectra of two-dimensional Dirac
  materials SUPER Learning: A Supervised-Unsupervised Framework for Low-Dose CT
  Image Reconstruction Online Graph Completion: Multivariate Signal Recovery in Computer Vision Terra: Imperative-Symbolic Co-Execution of Imperative Deep Learning
  Programs A Distributed Magnetometer Network MLDev: Data Science Experiment Automation and Reproducibility Software Solving for the dynamics of the universe Topological Lattice Defects by Groupoid Methods and Kasparov's KK-Theory An Arc-Length Approximation For Elliptical Orbits Reactor On-Off Antineutrino Measurement with KamLAND
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