24 citations · 168 across the 34 of their papers we have counts for
5 papers · 1 filter
Microfluidic pump driven by anisotropic phoresis
Zihan Tan, Mingcheng Yang, Marisol Ripoll
Fluid flow along microchannels can be induced by keeping opposite walls at different temperatures, and placing elongated tilted pillars inside the channel. The driving force for th…
Sampling-based probabilistic inference emerges from learning in neural circuits with a cost on reliability
Laurence Aitchison, Guillaume Hennequin, Mate Lengyel
Neural responses in the cortex change over time both systematically, due to ongoing plasticity and learning, and seemingly randomly, due to various sources of noise and variability…
Bayesian filtering unifies adaptive and non-adaptive neural network optimization methods
Laurence Aitchison
We formulate the problem of neural network optimization as Bayesian filtering, where the observations are the backpropagated gradients. While neural network optimization has previo…
Tensor Monte Carlo: particle methods for the GPU era
Laurence Aitchison
Multi-sample, importance-weighted variational autoencoders (IWAE) give tighter bounds and more accurate uncertainty estimates than variational autoencoders (VAE) trained with a sta…
Discrete flow posteriors for variational inference in discrete dynamical systems
Laurence Aitchison, Vincent Adam, Srinivas C. Turaga
Each training step for a variational autoencoder (VAE) requires us to sample from the approximate posterior, so we usually choose simple (e.g. factorised) approximate posteriors in…