Takhanov R 1

1. Learning the Pattern-based CRF for Prediction of a Protein Local Structure
2. Autoencoders for a manifold learning problem with a jacobian rank constraint
3. Combining pattern-based CRFs and weighted context-free grammars
4. Computing a Partition Function of a Generalized Pattern-Based Energy over a Semiring
5. Gradient descent fails to learn high-frequency functions and modular arithmetic
6. On the speed of uniform convergence in Mercers theorem
7. Reducing the dimensionality of data using tempered distributions
8. The algebraic structure of the densification and the sparsification tasks for CSPs
9. The informativeness of the gradient revisited
10. Approximation error of Fourier neural networks
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