128 citations · 293 across the 18 of their papers we have counts for
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A Probabilistic Approach to Self-Supervised Learning using Cyclical Stochastic Gradient MCMC
Masoumeh Javanbakhat, Christoph Lippert
In this paper we present a practical Bayesian self-supervised learning method with Cyclical Stochastic Gradient Hamiltonian Monte Carlo (cSGHMC). Within this framework, we place a…
Kernelised Normalising Flows
Eshant English, Matthias Kirchler, Christoph Lippert
Normalising Flows are non-parametric statistical models characterised by their dual capabilities of density estimation and generation. This duality requires an inherently invertibl…
DCID: Deep Canonical Information Decomposition
Alexander Rakowski, Christoph Lippert
We consider the problem of identifying the signal shared between two one-dimensional target variables, in the presence of additional multivariate observations. Canonical Correlatio…