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Too Lazy to Read the Paper: Episode 5 with Renaud Lambiotte
Manage episode 335225960 series 3374241
Content provided by Sune Lehmann. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Sune Lehmann or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
Today’s guest is Renaud Lambiotte
Renaud is an associate professor at the Mathematical Institute of Oxford University, investigating processes taking place on large networks.
In the episode, we talk about his story in science, the joy and value of exploring without a particular purpose, doing a PhD without publishing any papers, … and how reading classical texts by Boltzman and others early on has shaped the work Renaud does even to this day.
When we get to the paper, we talk about Renaud’s recent work “Variance and covariance of distributions on graphs” (1) with co-authors Karel Devriendt and Samuel Martin-Gutierrez.
#Timestamps
[0:00:00] Intro to today's episode
[0:00:59] Friendly banter, and being in awe of Mark Newman
[0:07:00] Renaud's story
[0:28:38] The Louvain Algorithm t-shirt
[0:34:00] Now to discuss the paper!
# Credits
The podcast has theme music by Waylon Thornton. Songs are "American Heart" and "Seven". Via freemusicarchive.org and licenced under CC BY-NC-SA. The podcast was funded in part by the Villum Foundation.
# References
(1) https://arxiv.org/abs/2008.09155
20 episodes
Share
Manage episode 335225960 series 3374241
Content provided by Sune Lehmann. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Sune Lehmann or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
Today’s guest is Renaud Lambiotte
Renaud is an associate professor at the Mathematical Institute of Oxford University, investigating processes taking place on large networks.
In the episode, we talk about his story in science, the joy and value of exploring without a particular purpose, doing a PhD without publishing any papers, … and how reading classical texts by Boltzman and others early on has shaped the work Renaud does even to this day.
When we get to the paper, we talk about Renaud’s recent work “Variance and covariance of distributions on graphs” (1) with co-authors Karel Devriendt and Samuel Martin-Gutierrez.
#Timestamps
[0:00:00] Intro to today's episode
[0:00:59] Friendly banter, and being in awe of Mark Newman
[0:07:00] Renaud's story
[0:28:38] The Louvain Algorithm t-shirt
[0:34:00] Now to discuss the paper!
# Credits
The podcast has theme music by Waylon Thornton. Songs are "American Heart" and "Seven". Via freemusicarchive.org and licenced under CC BY-NC-SA. The podcast was funded in part by the Villum Foundation.
# References
(1) https://arxiv.org/abs/2008.09155
20 episodes
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Similar to Too Lazy to Read the Paper
Get in-depth coverage of current and future trends in technology, and how they are shaping business, entertainment, communications, science, politics, and society.
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continue reading
Flash Forward is a show about possible (and not so possible) future scenarios. What would the warranty on a sex robot look like? How would diplomacy work if we couldn’t lie? Could there ever be a fecal transplant black market? (Complicated, it wouldn’t, and yes, respectively, in case you’re curious.) Hosted and produced by award winning science journalist Rose Eveleth, each episode combines audio drama and journalism to go deep on potential tomorrows, and uncovers what those futures might re ...
…
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…
continue reading
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…
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…
continue reading
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…
continue reading
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continue reading
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continue reading
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