AI-powered
podcast player
Listen to all your favourite podcasts with AI-powered features
3min chapter
[13] Adji Bousso Dieng - Deep Probabilistic Graphical Modeling
The Thesis Review
How to Align AI With Human Digital Data
You can take any GaN loss and add this regularizer and use the same algorithm. And then here is this also kind of agnostic to the specific GaN loss that's used? Like, could you use this with the Wasserstein GaN? Yeah, yeah. And you can use it with different architectures. We looked at DC GaN, which was the first architecture that really worked worked well. Then we looked at more recent ones like Style GaN,. But yeah, it's also agostic to the underlying architecture or the original GaN loss. So maybe now we can talk about the future. So you'll be starting next year, next September as a professor at Princeton
00:00
Transcript
Episode notes
Get the Snipd
podcast app
Unlock the knowledge in podcasts with the podcast player of the future.
AI-powered
Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode
Save any
moment
Hear something you like? Tap your headphones to save it with AI-generated key takeaways
Share
& Export
Send highlights to Twitter, WhatsApp or export them to Notion, Readwise & more
AI-powered
podcast player
Listen to all your favourite podcasts with AI-powered features
Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode