Viewing profile — tejask

Yes this is very much inspired by Geoff's work.

This is an interesting question. Technically, we capture a probability distribution in the code layer (between encoder and decoder). So you can sample from it multiple times and as…

In order to approximately learn a "real" graphics engine with support for basic physics, just feed-forward computation might not be sufficient. A more natural way to learn graphics…

thanks for the references! I like that many people are doing such things. After looking at the chairs paper, it seems like they render images given pose,shape,view etc (supervised …

there are many ways to parametrize the decoder. One of the ways is to constrain it to output an explicit mesh or volumetric representation and express the rendering pipeline so tha…

To the best of my knowledge, not much at all. It is an open question. Besides, a feedforward net is not going to be enough.

One of the authors here. You are absolutely right! In fact, I am currently doing something similar but it is not working as well yet. As far as this work is concerned, we wanted to…

In summary, the most interesting part for the general audience might be the following question -- can we learn a 3D rendering engine just from images or videos without any hand-eng…

The first advice you give is a good reminder for people like me who have tons of unfinished projects.

My programming experience was unexpressed before college as I was mostly interested in basic sciences - mainly physics. It was only after high school did I seriously get into CS ty…

This is awesome!

For an average teenager who is about to go to college, online education is a less favorable choice as it would probably be deemed less prestigious due to issues mentioned in the ar…

Good concept. I would have liked to see a demo page (or video) before subscribing.

The reason I said it's one is from the perspective that the software is a combination of spiking potentials and chemical reactions. If you haven't read "On Intelligence" by Jeff Ha…

From what you say, you seem to hint that we will never be able to produce a human-perfect unsupervised learning rule that can handle all modalities we perceive and make inferences.…