Viewing profile — teddykoker

OpenEquivariance [1] is another good baseline for with kernels for the Clebsch-Gordon tensor product and convolution, and it is fully open source. Both kernel implementations have …

A related line of work is "Thinking Like Transformers" [1]. They introduce a primitive programming language, RASP, which is composed of operations capable of being modeled with tra…

See also Radio2Speech [1] which uses a UNet to recover audio from a RF beam. [1] https://zhaorunning.github.io/Radio2Speech/

Link to paper [1]. It looks like the authors construct a basic autoencoder to predict frames in videos of various videos (double pendulum, lava lamp, etc.) and then use the Levina–…

According to [1], the byte pair encoding for “Apoploe vesrreaitais” (the words producing bird images) is "apo, plo, e , ,ve, sr, re, ait, ais ", and Apo-didae & Plo-ceidae are fami…

For image retrieval, have you tried using a model trained with contrastive learning (e.g. SimCLR)? This could produce better embeddings for retrieval since the model is trained to …

I wonder how their advertised "vector database" works. kNN combined with embeddings from pre-trained deep learning models can be very useful for information retrieval, (e.g. search…

Also see Einops: https://github.com/arogozhnikov/einops , which uses a einsum-like notation for various tensor operations used in deep learning. https://einops.rocks/pytorch-exampl…

This might be what you’re looking for: https://gafniguy.github.io/4D-Facial-Avatars/

Yup! Just a multinomial logistic regression model with a bunch of proprietary data and engineered features.

You can find Benter’s paper about the model here: https://www.gwern.net/docs/statistics/decision/1994-benter.p... About a year ago I read this and attempted to build a similar mode…