Ankit Gupta
speaker
237 appearances
1 recordings
1 series
first heard Jul 2026
last heard 17 Jul
Ankit Gupta’s voice in public audio — every appearance, attributed to the second.
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recordings per month · last 12 monthsRecordings per month over the last 12 months — 1 in all, peaking in Jul 2026 with 1.
Appearances
And it really is taking basically the exact concept, I believe, from the Dreamer paper and applying it specifically to these robot embodiments.
And it turns out it actually works actually better than I would have anticipated it working.
What's also cool is there's a bunch of applications of this to things outside of robotics, too.
I mean, there was a weather planning paper, for example.
We were reading this GenCast paper, which I think applies a relatively similar concept in terms of how they model, you know, literally the world's weather with something like this.
It's actually describing exactly these two equations here, where we're estimating both the sensory latent states and actions.
I mean, I guess it's really the joint model that we showed earlier is what he's describing here.
It's exactly...
This equation that we're showing now.
Why don't we talk briefly about latent world models, especially the JEPA concept?
Because I think there's been a number of papers that use JEPA as an element of their, I guess, architecture.
Why don't we just briefly introduce JEPA and how it fits into the current landscape of world modeling?
In the case of robots or whatever, state is like, yeah, it's this whole thing we described earlier.
It's absolutely massive because it has all of these elements in it.
You couldn't really enumerate a huge grid with it.
It's kind of like a normalized, like a batch norm type of trick.
I think one of the things I find cool about this JPA idea is it feels like an idea we see over and over in deep learning.
There's a version of this
idea that's basically the staple diffusion idea.
There's a version of this idea that in my company training graph convolutional neural networks to design drugs we use to do latent variable generation, for example.
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