Learning Languages and Rational Kernels
Theoretical neuroscience and deep learning theory
Information Theory
Learnable Representations for Natural Language
A polynomial algorithm for the inference of context free languages
Syntactic Approaches for Natural Language Processing
Representation of Prior Knowledge - from Bias to 'Meta-Bias'
Algorithms and Data Structures
Using Multiplicity automata to identify transducer Relations from membership and equivalence queries
Sparse Methods for Machine Learning: Theory and Algorithms