Apr 2018
09
Apr
The Cascade-Correlation Learning Architecture
Marc-Olivier Buob will present a paper of Scott E. Fahlman and Christian Lebiere about The Cascade-Correlation Learning Architecture, August 29, 1991 CMU-CS-90-100
04
Apr
Vehicular networks in hyperfractal setup
Confinement of human settlement in areas limited in size is the foundation of the long-standing Central Place Theory which assumes the existence of regular spatial [...]
Mar 2018
28
Mar
User-Centric Personal Data Analytics on the Edge
Abstract: In this talk, I present our ongoing work on utilising edge-computing to improve the scalability and privacy of user-centred analytics in the context of [...]
26
Mar
Ergodic control and polyhedral approaches to PageRank optimization
In this session of the reading group, Anastasios Giovanidis will present the paper O. Fercoq, M. Akian, M. Bouhtou, S. Gaubert. “Ergodic control and polyhedral [...]
12
Mar
Knowledge graph embeddings
Nathan De Lara will introduce the knowledge graph embeddings, based on the following references: Bordes, A., Usunier, N., Garcia-Duran, A., Weston, J., and Yakhnenko, O. [...]
07
Mar
A Sliding-Resolution Algorithm for Hierarchical Graph Clustering
We propose a novel algorithm for the hierarchical clustering of graphs. The algorithm is a simple but key modification of the Louvain algorithm based on [...]
Feb 2018
26
Feb
Étude des sous-graphes typiques des graphes aléatoires par la combinatoire analytique
Orateur : Élie de Panafieu La question qui guidera l'exposé est l'étude de la loi limite du nombre de triangles dans un graphes aléatoire à [...]
21
Feb
Insensitivity of the Hydrodynamic Limit of PS under Randomized SQ(d) Algorithms
In many applications such as cloud computing, managing server farm resources etc. an incoming task or job has to be matched with an appropriate server [...]
14
Feb
Network Slicing Games: Enabling Statistical Multiplexing of Multi-tenant Spatial Loads
Next generation wireless architectures are expected to enable slices of shared wireless infrastructure which are customized to specific mobile operators/services. Given infrastructure costs and the [...]
12
Feb
Sequence to sequence learning
For the next reading group, Édouard Pineau will talk about sequence-to sequence learning, based on the two following references: Sutskever Ilya, Oriol Vinyals, and Quoc [...]
02
Feb
Apple vs. Samsung: a Mathematical Battle
Abstract: Apple and Samsung have been fighting patent battles around the world. Come learn about the mathematics at the heart of one of these battles, [...]
Jan 2018
31
Jan
An Efficient Data Protection Architecture Based on Fragmentation and Encryption
In this presentation, a completely revisited secure data storage and transmission scheme ispresented. This new scheme is based on an agnostic selective encryption methods combinedwith [...]
29
Jan
Queuing or not Queuing? (in large systems)
Fabien Mathieu will talk about Queuing or not Queuing? (in large systems), and will mainly use the following reference : Load balancing in large-scale systems [...]
24
Jan
Performance of Balanced Fairness in Resource Pools: A Recursive Approach
Understanding the performance of a pool of servers is crucial for proper dimensioning. One of the main challenges is to take into account the complex [...]
15
Jan
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling
Achille Salaün will talk about Recurrent Neural Networks and present the paper Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling by Chung, Gulcehre, [...]
03
Jan
Reinforcement Learning for Efficient Access Control with M2M/H2H traffic in LTE-A networks
Although many advantages are expected from the provision of services for M2M communications in cellular networks such as extended coverage, security, robust management and lower [...]
Dec 2017
18
Dec
Analyzing the M/G/1 queue with a branching process
For the next session of the reading group, Céline Comte will talk about Analyzing the M/G/1 queue with a branching process, and will mainly use [...]
13
Dec
Random Fixed Points, Limits and Systemic risk
Abstract: We consider vector fixed point (FP) equations in large dimensional spaces involving random variables, and study their realization-wise solutions. We have an underlying directed [...]
06
Dec
The real fuss with quantum mechanics
Many foundational issues in quantum mechanics frustrate the experts and keep them up at night. Unfortunately, when these concepts reach the greater public, they are [...]
Nov 2017
29
Nov
Predicting user QoE from QoS metrics for internet applications
Predicting the user Quality-of-Experience (QoE) for an internet application is a highly desirable feature in a number of situations. However, directly measuring user QoE is [...]
22
Nov
Optimal flow segmentation in SDN with memory constraints: a reinforcement learning approach
Datacenter flow routing relies on packet-in messages generated by switches and directed to the controller upon new flows arrivals. The SDN controller reacts to packet-in [...]
20
Nov
Non-negative matrix factorization
Thomas Bonald will talk about non-negative matrix factorization.
15
Nov
Optimal Joint Subcarrier and Power Allocation in Power-Domain NOMA is Strongly NP-Hard: Complexity Analysis
Non-orthogonal multiple access (NOMA) is a promising radio access technology for 5G. It allows several users to transmit on the same frequency and time resource [...]
06
Nov
One-dimensional non-deterministic random walks
Élie de Panafieu will present some current work about one-dimensional, non-deterministic, random walks.
Oct 2017
25
Oct
Will productivity growth return in the new digital era?
It is increasingly acknowledged that we are on the verge of the next technological and industrial revolution, driven by the digitization and interconnection of physical [...]
23
Oct
Poisson games
François Durand will present an introduction to Poisson games based on the two following articles: R. Myerson. Large Poisson Games. Journal of Economic Theory, 94:7–45, [...]
11
Oct
Multi-Area Interchange Scheduling under Uncertainty
Large interconnected power systems are often operated by independent system operators, each having its own operating region within which internal resources are used economically. The [...]
04
Oct
Adaptive Video Streaming: Towards a systematic comparison of ICN and TCP/IP
Streaming of video contents over the Internet isexperiencing an unprecedented growth. While video permeatesevery application, it also puts tremendous pressure in the network --to support [...]
Sep 2017
27
Sep
Active Hypothesis Testing: Learning to Match in Expert Systems
We study adaptive matching in expert systems, as an instance of adaptive sequential hypothesis testing. Examples of such systems include Q&A platforms, crowdsourcing, image classification. [...]
21
Sep
Why deep neural networks ?
Anne Bouillard will present the paper Why deep neural networks ?, by Shiyu Liang and R. Srikant, 2016.
20
Sep
QoE-Aware Service and Network Management for Video Streaming
Today's consumer Internet traffic is transmitted on a best effort basis without taking into account any quality requirements. The backbone and the wireless access networks [...]
06
Sep
Learning the Network of a Linear Dynamical System from Ambient Fluctuations
Linear Dynamical Systems are used to model several evolving network processes in biology, physical systems as well as financial networks. Estimation of the topology of [...]
Jul 2017
12
Jul
Economic models for wireless sensor network-based services
The Internet of Things is one of the hottest topics being debated today across industries worldwide. Successful IoT deployment needs sustainable business models that are [...]
10
Jul
Incentive Mechanism Design for Public Cryptocurrencies
Presentation for the Working Group on BitCoin.
10
Jul
Fairness in block-chain systems
Abstract: Formal security analyses for block-chains derived the famous "honest majority" assumption: the system well-behaves only if the majority of the hashing power is in [...]
05
Jul
Global Measurements of Internet Censorship
Abstract: Internet users in many countries around the world are subject to various forms of censorship and information control. Despite its widespread nature, however, measuring [...]
Jun 2017
28
Jun
Competitive Caching of Contents in 5G Edge Cloud Networks
The surge of mobile data traffic forces network operators to cope with capacity shortage. The deployment of small cells in 5G networks is meant to [...]
23
Jun
23
Jun
23
Jun
Massively-Parallel Feature Selection for Big Dimensionality Data
Talk from the LINCS Workshop
23
Jun
Studying large networks and graphical data via local weak limit theory
Talk from the LINCS Workshop.
22
Jun
22
Jun
Stream processing for monitoring of real-time network services
Talk from the LINCS workshop.
22
Jun
22
Jun
Understanding Performance of Large Cellular Networks — Data and Models
Talk from the LINCS Workshop.
22
Jun
PhDs and PostDocs' Presentations
LINCS younglings present their work in a few minutes for the LINCS workshop
22
Jun
22
Jun
WeBrowse: a passive crowdsourced content discovery platform for communities of a place
Talk from the LINCS Workshop.
22
Jun
Traveling Salesman in Reverse: Conditional Markov Entropy for Mobility Trajectory Segmentation
Talk from the LINCS Workshop.
21
Jun
Perennial and Personalized Sensing through Wireless Energy
In a future where implanted and wearable sensors continuously report physiological data, how to power such sensors without battery replacement and developing new communication methods [...]
13
Jun