Constructing local models for Lagrangian torus fibrations
Residue formulas for push-forwards in equivariant cohomology - a
  symplectic approach
Compound real Wishart and q-Wishart matrices Defence Efficiency Dynamical Generation of Mass Gradual Relation Network: Decoding Intuitive Upper Extremity Movement
  Imaginations Based on Few-Shot EEG Learning Real-time rendering of complex fractals Investigating prominence turbulence with Hinode SOT Dopplergrams Non-Mean-Field Behavior of Realistic Spin Glasses An unsupervised learning approach to solving heat equations on chip
  based on Auto Encoder and Image Gradient Properties of a Stochastic Model for Life Table Data: Exploring Life
  Expectancy Limits Imaging Strain and Electric Fields in NV Ensembles using Stark Shift
  Measurements On Properties of the Minimum Entropy Sub-tree to Compute Lower Bounds on
  the Partition Function Quantification and Minimization of Crosstalk Sensitivity in Networks Autonomous tools for Grid management, monitoring and optimization Reconciling interoperability with efficient Verification and Validation
  within open source simulation environments WaveY-Net: Physics-augmented deep learning for high-speed
  electromagnetic simulation and optimization Boolean networks synchronism sensitivity and XOR circulant networks
  convergence time Network Complexity of Foodwebs Remembering the Tevatron: The Machine(s) A Stochastic-Computing based Deep Learning Framework using Adiabatic
  Quantum-Flux-Parametron SuperconductingTechnology Simultaneous cooling of axial vibrational modes in a linear ion-trap Memristive Threshold Logic Circuit Design of Fast Moving Object
  Detection
math.SG math.AG