hyperverser's profile picture. 0no

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@hyperverser

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Solar Eclipse captured perfectly...

ineed__spacee's tweet image. Solar Eclipse captured perfectly...

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Beauty of mother nature 😲


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🌬


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pov: yugalabs launching the otherside


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💯💯💯🔒


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hmmm

hmmm_images's tweet image. hmmm

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BREAKING: Twitter will test Stripe’s support allowing content creators to receive USDC payments.


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johnny depp dealing with clown rottenborn at day 7 court trial:


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_______ is the Night


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Top 12 Machine Learning and Artificial Intelligence APIs:


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BEV (#CVPR2022) computes all the 3D people in an image in one shot, placing them all appropriately in depth. The key novelty is an imaginary 2D “Bird’s-Eye-View” (BEV) representation that reasons about the body centers in depth. (1/8)


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We’re sharing new research toward more expressive NLP models that break free of traditional dependence on text: Our new model can generate expressive vocalizations — like laughter, yawning, and cries. Learn more: ai.facebook.com/blog/generatin…


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Meta AI researchers are announcing iSDF; real-time neural signed distance fields for robot navigation and manipulation. iSDF can fill in partially observed regions and adaptively allocate memory capacity to map at different levels of detail. #AI joeaortiz.github.io/iSDF/


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The OER data set contains ~8M data points from 40K unique simulations. We believe it’s the largest data set for oxide catalysis to date, spanning a swath of oxide materials across 52 elements. The data set and baseline models will be open-sourced in the coming months.


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My PhD thesis "Deep Learning with Graph-Structured Representations" is now available for download: hdl.handle.net/11245.1/1b63b9… -- It covers a range of emerging topics in Deep Learning: from graph neural nets (and graph convolutions) to structure discovery (objects, relations, events)

tkipf's tweet image. My PhD thesis "Deep Learning with Graph-Structured Representations" is now available for download: hdl.handle.net/11245.1/1b63b9… -- It covers a range of emerging topics in Deep Learning: from graph neural nets (and graph convolutions) to structure discovery (objects, relations, events)

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Accepted papers are now available on the ICLR Objects, Structure & Causality (OSC) workshop website! 👉 objects-structure-causality.github.io/papers.html We have received a total of 42 submissions out of which 31 will be presented at the workshop on April 29


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