no code implementations • 11 Jun 2020 • Alexander Shekhovtsov, Viktor Yanush
Training neural networks with binary weights and activations is a challenging problem due to the lack of gradients and difficulty of optimization over discrete weights.
no code implementations • NeurIPS 2020 • Alexander Shekhovtsov, Viktor Yanush, Boris Flach
In neural networks with binary activations and or binary weights the training by gradient descent is complicated as the model has piecewise constant response.
no code implementations • 23 Jan 2019 • Viktor Yanush, Dmitry Kropotov
In \citet{byrne2013geodesic} authors have already considered sampling from distributions over manifolds using exact geodesic flows in a scheme similar to Hamiltonian Monte Carlo (HMC).