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ATEM is a novel framework for studying topic evolution in scientific archives. ATEM is based on dynamic topic modeling and dynamic graph embedding techniques that explore the dynamics of content and citations of documents within a scientific corpus. ATEM explores a new notion of contextual emergence for the discovery of emerging interdisciplinary research topics based on the dynamics of citation links in topic clusters. Our experiments show that ATEM can efficiently detect emerging cross-disciplinary topics within the DBLP archive of over five million computer science articles. paper: https://arxiv.org/abs/2306.02221

This is a tool intended to monitor the GPU usage on the various GPU-servers at the LIP6 Lab, Paris

Supplementary material for the paper "Deep Neural Networks Under Stress", ICIP 2016

Encode unicode strings in a silly way, based on glounicode

A cross-platform Docker solution to mitigate WebRTC IP address leaks in Linux, macOS, and Windows. GPL-3.0-or-later.

GitLab repository mirror of the main repository: https://github.com/snowpackvipn/preventing-webrtc-ip-address-leaks. SoftwareHeritage: swh:1:dir:13dd58fbbff37434ad0432da7ca69c84ea4eb9a4.

Cross domain dynamic

Static Timing Analyser

A blockgraph for mesh networks

Powerpoint and beamer template for MLIA/LIP6 using Sorbonne Université style

Uniform precision variant

The bulk of the code developed during my PhD thesis « Efficient multiword matrix product algorithm using floating-point arithmetic over finite prime fields » (not yet defended/nor published).