## Welcome to IRIF

IRIF, the Research Institute on the Foundations of Computer Science, is a research laboratory of CNRS and université Paris-Diderot, also hosting two INRIA project-teams.

The research conducted at IRIF is based on the study and understanding of the foundations of all computer science, in order to provide innovative solutions to the current and future challenges of digital sciences.

IRIF hosts about 200 people. Six of its members have been distinguished by the European Research Council (ERC), three are members of the Institut Universitaire de France IUF), and two are members of the Academia Europæa.

## Notion of the day

## News

*11.6.2019*

Kamil Khadiev from Kazan University, an expert in complexity and quantum computing, is visiting IRIF from June 10th to July 9th.

*23.1.2019*

A CIMPA school on Graphs, Algorithms and Randomness is co-organized by Reza Naserasr from IRIF at Tabriz University, **15-22 June 2019**. Three colleagues from IRIF, Pierre Fraigniaud, Michel Habib and Frédéric Magniez, are among the five lecturers from France.

*25.5.2019*

Mikaël Rabie (Postdoc at IRIF) will present at ICALP'19 a new problem, about distributed reconfiguration of maximal independent sets, providing an optimal algorithm to produce a reconfiguration schedule in the LOCAL model. This work, receiving **Best Paper award in Track C**, is a joint work with Keren Censor-Hillel from the Technion (Haifa, Israël).

*30.5.2019*

**Four papers** coauthored by IRIF members will be presented at the prestigious conference CAV'19 in New York this summer. Topics include verifying weakly-consistent distributed databases, testing cache coherence protocols, and testing concurrent objects.

(These news are displayed using a randomized-priority ranking.)

## Events

Habilitation defences

Tuesday June 18, 2019, 10AM, Salle des Thèses, Halle aux Farines

**Yves Guiraud** *Méthodes de réécriture en algèbre supérieure*

Proofs, programs and systems

Wednesday June 19, 2019, 2:30PM, Salle 3052

**Ugo Dal Lago** (INRIA and Univ. Bologna) *The Geometry of Bayesian Programming*

Joint work with Naohiko Hoshino

Enumerative and analytic combinatorics

Thursday June 20, 2019, 11:45AM, Salle 1007

**Vincent Jugé** (Université Paris-Est Marne-la-Vallée) *To be announced.*

PhD defences

Thursday June 20, 2019, 2:30PM, Salle 0011

**Raphaëlle Crubillé** (IRIF) *Behavioural distances for higher-order probabilistic programs*

Higher categories, polygraphs and homotopy

Friday June 21, 2019, 2PM, Salle 1007

**Alain Prouté** *Qu'est-ce qu'un ensemble ?*

Enumerative and analytic combinatorics

Monday June 24, 2019, 11AM, Salle 3052

**Carola Doerr** (CNRS, LIP6 Sorbonne University) *Evolutionary Algorithms – From Theory to Practice and Back*

In the last 15 years, the theory of randomized black-box optimization has advanced considerably, and has contributed to efficient optimization by providing insights into the working principles of black-box optimization which are hard or impossible to obtain by empirical means. On the other hand, empirically-guided benchmarking has opened up new research directions for theoretical investigations.

In this presentation we will discuss the state of the art in the theory of randomized black-box optimization algorithms. As part of this critical survey we will also mention a number of open questions and connections to other fields of Computer Science.

Algorithms and complexity

Monday June 24, 2019, 11AM, Salle 3052

**Carola Doerr** (CNRS, LIP6 Sorbonne University) *Evolutionary Algorithms – From Theory to Practice and Back*

In the last 15 years, the theory of randomized black-box optimization has advanced considerably, and has contributed to efficient optimization by providing insights into the working principles of black-box optimization which are hard or impossible to obtain by empirical means. On the other hand, empirically-guided benchmarking has opened up new research directions for theoretical investigations.

In this presentation we will discuss the state of the art in the theory of randomized black-box optimization algorithms. As part of this critical survey we will also mention a number of open questions and connections to other fields of Computer Science.

Complex systems

Monday June 24, 2019, 11AM, Salle 3052

**Carola Doerr** (CNRS, LIP6 Sorbonne University) *Evolutionary Algorithms – From Theory to Practice and Back*

In the last 15 years, the theory of randomized black-box optimization has advanced considerably, and has contributed to efficient optimization by providing insights into the working principles of black-box optimization which are hard or impossible to obtain by empirical means. On the other hand, empirically-guided benchmarking has opened up new research directions for theoretical investigations.

In this presentation we will discuss the state of the art in the theory of randomized black-box optimization algorithms. As part of this critical survey we will also mention a number of open questions and connections to other fields of Computer Science.

Graphs

Monday June 24, 2019, 11AM, Salle 3052

**Carola Doerr** (CNRS, LIP6 Sorbonne University) *Evolutionary Algorithms – From Theory to Practice and Back*