19 citations · 69 across the 25 of their papers we have counts for
4 papers · 1 filter
Estimating optimal PAC-Bayes bounds with Hamiltonian Monte Carlo
Szilvia Ujváry, Gergely Flamich, Vincent Fortuin +1
An important yet underexplored question in the PAC-Bayes literature is how much tightness we lose by restricting the posterior family to factorized Gaussian distributions when opti…
Introducing instance label correlation in multiple instance learning. Application to cancer detection on histopathological images
Pablo Morales-Álvarez, Arne Schmidt, José Miguel Hernández-Lobato +1
In the last years, the weakly supervised paradigm of multiple instance learning (MIL) has become very popular in many different areas. A paradigmatic example is computational patho…
Faster Relative Entropy Coding with Greedy Rejection Coding
Gergely Flamich, Stratis Markou, Jose Miguel Hernandez Lobato
Relative entropy coding (REC) algorithms encode a sample from a target distribution using a proposal distribution using as few bits as possible. Unlike entropy coding, REC…
Graph Neural Stochastic Differential Equations
Richard Bergna, Felix Opolka, Pietro Liò +1
We present a novel model Graph Neural Stochastic Differential Equations (Graph Neural SDEs). This technique enhances the Graph Neural Ordinary Differential Equations (Graph Neural…