Neural Nets

Function approximators.

Neural denoising diffusion models Denoising diffusion probabilistic models (DDPMs), score-based generative models, generative diffusion processes, neural energy models… 2021-11-11 – 2023-12-06
Neural PDE operator learning Especially forward operators. Image-to-image regression, where the images encode a physical process. 2019-10-15 – 2023-10-19
Pytorch #torched 2018-05-04 – 2023-10-17
Technological singularities Incorporating hard AI take-offs, game-over high scores, the technium, deus-ex-machina, deus-ex-nube, nerd raptures and so forth 2016-12-01 – 2023-10-11
ML on small devices Putting intelligence on chips small enough to be in disconcerting places 2016-10-14 – 2023-08-14
Materials informatics Machine learning in condensed matter physics, chemistry and materials science 2023-08-01 – 2023-08-08
Neural nets with implicit layers Also, declarative networks, bi-level optimization and other ingenious uses of the implicit function theorem 2020-12-08 – 2023-06-28
Neural vector embeddings Hyperdimensional Computing, Vector Symbolic Architectures, Holographic Reduced Representations 2017-12-20 – 2023-06-13
Transformer networks The transformer-powered subtitle for this article is “Our most terrifyingly effective weapon against the forces of evil is our ability to laugh at them.” 2017-12-20 – 2023-03-22
Deep sets invariant and equivariant functions 2022-11-24 – 2023-03-21
The edge of chaos Computation, evolution, competition and other past-times of faculty 2016-12-01 – 2022-10-30
Neural nets with implicit layers Also, declarative networks, bi-level optimization and other ingenious uses of the implicit function theorem 2020-12-08 – 2022-08-09
Tensorflow The framework to use for deep learning if you groupthink like Google 2016-07-11 – 2021-07-07
ML Koans Passing through the NAND-gate 2021-06-23
Compressing neural nets pruning, compacting and otherwise fitting a good estimate into fewer parameters 2016-10-14 – 2021-05-07
Data dimensionality reduction Wherein I teach myself, amongst other things, feature selection, how a sparse PCA works, and decide where to file multidimensional scaling 2015-03-22 – 2020-09-11
Neural nets Designing the fanciest usable differentiable loss surface 2016-10-14 – 2020-09-09
Learning of manifolds Also topological data analysis; other hip names to follow 2014-08-19 – 2020-06-23
Phase retrieval I’ve got the power. / Like the crack of the whip/ I snap attack/ Front to back 2017-01-16 – 2019-11-07