brain of mat kelcey...
evolved channel selection
March 01, 2021 at 10:20 PM | categories: projects, ga, jax
rather than use all 13 channels in a multi spectral image for classification can we train a model that is robust to all combos, at all resolutions, and use a genetic algorithm to choose which are the most valuable? (spoiler; yes)
popular posts...
FPGA wavenets : eurorack audio processing neural nets running at ~200,000 inferences/sec (oct 2023)
dithernet very slow movie player : a GAN that slowly plays a movie over a year on an eink screen (oct 2020)
evolved channel selection : neural networks robust to any subset of input channels, at any resolution (mar 2021)
ensemble nets : training ensembles as a single model using jax on a tpu pod slice (sept 2020)
bnn : counting bees with a rasp pi (may 2018)
drivebot : learning to do laps with reinforcement learning and neural nets (feb 2016)
wikipedia philosophy : do all first links on wikipedia lead to philosophy? (aug 2011)
some papers from my time at google research / brain...
- Natural Questions: a Benchmark for Question Answering Research
- Using Simulation and Domain Adaptation to Improve Efficiency of Deep Robotic Grasping
- WikiReading: A Novel Large-scale Language Understanding Task over Wikipedia
my honours thesis
the co-evolution of cooperative behaviour (1997) evolving neural nets with genetic algorithms for communication problems.
old projects...
- latent semantic analysis via the singular value decomposition (for dummies)
- semi supervised naive bayes
- statistical synonyms
- round the world tweets
- decomposing social graphs on twitter
- do it yourself statistically improbable phrases
- should i burn it?
- the median of a trillion numbers
- deduping with resemblance metrics
- simple supervised learning / should i read it?
- audioscrobbler experiments
- chaoscope experiment