11 citations · 24 across the 6 of their papers we have counts for
6 papers
Propagation of Chaos for Nonlinear Markov Chains
James Vuckovic
We study 1-Wasserstein propagation of chaos for "McKean-type" nonlinear Markov chains and their associated interacting particle systems. This paper is organized into two parts: the…
Drug-like antibodies with low immunogenicity in human panels designed with Latent-X2
Latent Labs Team, Henry Kenlay, Daniella Pretorius +15
Drug discovery has long sought computational systems capable of designing drug-like molecules directly: developable and non-immunogenic from the start. Here we introduce Latent-X2,…
Nonlinear MCMC for Bayesian Machine Learning
James Vuckovic
We explore the application of a nonlinear MCMC technique first introduced in [1] to problems in Bayesian machine learning. We provide a convergence guarantee in total variation tha…
On the Regularity of Attention
James Vuckovic, Aristide Baratin, Remi Tachet des Combes
Attention is a powerful component of modern neural networks across a wide variety of domains. In this paper, we seek to quantify the regularity (i.e. the amount of smoothness) of t…
A Mathematical Theory of Attention
James Vuckovic, Aristide Baratin, Remi Tachet des Combes
Attention is a powerful component of modern neural networks across a wide variety of domains. However, despite its ubiquity in machine learning, there is a gap in our understanding…
Kalman Gradient Descent: Adaptive Variance Reduction in Stochastic Optimization
James Vuckovic
We introduce Kalman Gradient Descent, a stochastic optimization algorithm that uses Kalman filtering to adaptively reduce gradient variance in stochastic gradient descent by filter…