Youtubed activities
Feb 2021
24
Feb
Can we automate our own work — or show that it is hard?
Computer scientists seek to understand what can be automated, but what do we know about automating our own work? Can we outsource our own research [...]
24
Feb
A Mathematical Theory of Communication: Discrete Noisy Systems (2)
In 1948 Shannon published the article that defines modern information theory. For this reading group, we will briefly remind the first part of the article [...]
17
Feb
The impact of multi-user massive MIMO on resource allocation in 5G cellular networks
One of the very important technologies for 5G is multi-user massive MIMO. It has the potential to deliver excellent performance if used well. However, it [...]
17
Feb
A Mathematical Theory of Communication: Discrete Noisy Systems (1)
In 1948 Shannon published the article that defines modern information theory. For this reading group, we will briefly remind the first part of the article [...]
10
Feb
Real-time Bidding in First and Second Price Auctions with Temporal and Targeting Constraints
Please, find here the abstract and bibliography provided by Professor Mazumdar for his talk: http://www.lincs.fr/wp-content/uploads/2021/01/Bidding_LINCS_Jan2021.pdf Here, Professor Mazumdar's webpage with info on his academic path: [...]
10
Feb
03
Feb
Edit distances, string alignments and dynamic programming
Edit distances quantify how dissimilar two strings are by counting the minimum number of edit operation (insertion, deletion, etc) to transform one string into the [...]
Jan 2021
27
Jan
Presentation of Huggingface Transformers library for Natural Language Processing
Transformers architectures have been dominating the benchmarks of most Natural Language Processing tasks for the past 3 years with new models popping up every week, [...]
20
Jan
"Secure and Robust MIMO Transceiver for Multicast Mission Critical Communications"
Mission-critical communications (MCC) involve all communications between people in charge of the safety of the civil society. MCC have unique requirements that include improved reliability, [...]
20
Jan
A tutorial on Bayesian optimization with Gaussian processes
Bayesian optimization proves to be useful when our goal is to i) optimize an unknown function, that we can learn by sampling ii) our sample [...]
