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08/24/2022
A model-based approach to meta-Reinforcement Learning: Transformers and tree search
Meta-learning is a line of research that develops the ability to leverag...
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03/23/2021
PAC-learning gains of Turing machines over circuits and neural networks
A caveat to many applications of the current Deep Learning approach is t...
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06/04/2020
Severability of mesoscale components and local time scales in dynamical networks
A major goal of dynamical systems theory is the search for simplified de...
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10/25/2018
The anatomy of Reddit: An overview of academic research
Online forums provide rich environments where users may post questions a...
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09/14/2018
Multi-hop assortativities for networks classification
Several social, medical, engineering and biological challenges rely on d...
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04/17/2018
Structured networks and coarse-grained descriptions: a dynamical perspective
This chapter discusses the interplay between structure and dynamics in c...
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11/20/2017
Positive semi-definite embedding for dimensionality reduction and out-of-sample extensions
In machine learning or statistics, it is often desirable to reduce the d...
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05/30/2017