7.1k citations · 9.2k across the 24 of their papers we have counts for
3 papers · 1 filter
Bayesian Flow Networks
Alex Graves, Rupesh Kumar Srivastava, Timothy Atkinson +1
This paper introduces Bayesian Flow Networks (BFNs), a new class of generative model in which the parameters of a set of independent distributions are modified with Bayesian infere…
Universal Smoothed Score Functions for Generative Modeling
Saeed Saremi, Rupesh Kumar Srivastava, Francis Bach
We consider the problem of generative modeling based on smoothing an unknown density of interest in using factorial kernels with independent Gaussian channels wi…
EvoTorch: Scalable Evolutionary Computation in Python
Nihat Engin Toklu, Timothy Atkinson, Vojtěch Micka +2
Evolutionary computation is an important component within various fields such as artificial intelligence research, reinforcement learning, robotics, industrial automation and/or op…