Transfer String Kernel for Cross-Context DNA-Protein Binding Prediction
Greedy methods, randomization approaches and multi-arm bandit algorithms
  for efficient sparsity-constrained optimization
Monte Carlo Markov Chain Algorithms for Sampling Strongly Rayleigh
  Distributions and Determinantal Point Processes Impact of Perturbations on Watersheds Regular graded algebras and obstructed categories with duality Weakly nonlocal Poisson brackets: tools, examples, computations Reconstruction of Solar Subsurfaces by Local Helioseismology Dynamics of Bitcoin mining Towards Memristive Deep Learning Systems for Real-time Mobile Epileptic
  Seizure Prediction Scattering approach to Anderson localisation Even Faster Accelerated Coordinate Descent Using Non-Uniform Sampling Clique percolation in random networks WeatherBench Probability: A benchmark dataset for probabilistic
  medium-range weather forecasting along with deep learning baseline models Port-Hamiltonian Modeling of Ideal Fluid Flow: Part II. Compressible and
  Incompressible Flow Learning Optimal Control of Synchronization in Networks of Coupled
  Oscillators using Genetic Programming-based Symbolic Regression Comparison of a general series expansion method and the homotopy
  analysis method QCD thermalization: Ab initio approaches and interdisciplinary
  connections Tunable Weyl Points in Periodically Driven Nodal Line Semimetals Quantum lattice-gas models for the many-body Schrodinger equation Counterfactual Fairness Active Learning for Matching Problems Research on FAST Active Reflector Adjustment Algorithm Based on Computer
  Simulation Heat kernels of non-local Schr\"odinger operators with Kato potentials Towards designing robust coupled networks
cs.LG