In a recent paper (Girard 2011b), Girard uses the geometry of interaction in the hyperfinite factor (Girard 2011a) in an innovative way to characterize complexity classes. The purpose of this paper is two-fold: to give a detailed explanation of both the choices and the motivations of Girard's definitions, and -since Girard's paper skips over some non-trivial details and only sketches one half of the proof -to provide a complete proof that co-NL can be characterized by an action of the group of finite permutations. We introduce as a technical tool the non-deterministic pointer machine, a concrete model that computes the algorithms represented in this setting
AbstractThough complexity theory already extensively studies path-cardinality-based restrictions on ...
Motivated by the question of how to define an analog of interactive proofs in the setting of logarit...
Most of statistical machine learning relies on deep neural nets, whose underlying theory and mathema...
In a recent paper, Girard proposes to use his recent construction of a geometry of interaction in th...
International audienceIn a recent paper, Girard proposes to use his recent construction of a geometr...
AbstractIn this primarily expository article, I describe geometric approaches to variants of P versu...
The formal study of algorithms arises with the definition of the Turing machine in a context which i...
Accepté pour publication dans le numéro spécial consacré à la complexité implicite de Information & ...
In a recent paper, the author has shown how Interaction Graphs models for linear logic can be used t...
This work is a study of the geometry of interaction in the hyperfinite factor introduced by Jean-Yve...
This research in Theoretical Computer Science extends the gateways between Linear Logic and Complexi...
We introduce the concept of causal nets --it can be considered as the most general and elementary co...
The network approach to computation is more direct and “physical” than the one based on some specifi...
AbstractGeometry of Interaction is a transcendental syntax developed in the framework of operator al...
Motivated by questions in model theory, Greg Cherlin introduced the idea of â relational complexity...
AbstractThough complexity theory already extensively studies path-cardinality-based restrictions on ...
Motivated by the question of how to define an analog of interactive proofs in the setting of logarit...
Most of statistical machine learning relies on deep neural nets, whose underlying theory and mathema...
In a recent paper, Girard proposes to use his recent construction of a geometry of interaction in th...
International audienceIn a recent paper, Girard proposes to use his recent construction of a geometr...
AbstractIn this primarily expository article, I describe geometric approaches to variants of P versu...
The formal study of algorithms arises with the definition of the Turing machine in a context which i...
Accepté pour publication dans le numéro spécial consacré à la complexité implicite de Information & ...
In a recent paper, the author has shown how Interaction Graphs models for linear logic can be used t...
This work is a study of the geometry of interaction in the hyperfinite factor introduced by Jean-Yve...
This research in Theoretical Computer Science extends the gateways between Linear Logic and Complexi...
We introduce the concept of causal nets --it can be considered as the most general and elementary co...
The network approach to computation is more direct and “physical” than the one based on some specifi...
AbstractGeometry of Interaction is a transcendental syntax developed in the framework of operator al...
Motivated by questions in model theory, Greg Cherlin introduced the idea of â relational complexity...
AbstractThough complexity theory already extensively studies path-cardinality-based restrictions on ...
Motivated by the question of how to define an analog of interactive proofs in the setting of logarit...
Most of statistical machine learning relies on deep neural nets, whose underlying theory and mathema...