Все публикации

Retrieval Augmented NLP

Optimal Transport Metrics

Energy-Based Models

Deep Kernels

Ethics, Integrity and Good Practice in ML

CBL Alumni Talk: Nonlinear filtering as a unifying principle in neuroscience

CBL Alumni Talk: Latent Stochastic Differential Equations: An Unexplored Model Class

The Statistical Finite Element Method

CBL Alumni Series: Accurate Gaussian Processes and how they can help Deep Learning

An Introduction to PAC-Bayes

Guest Talk: Automated Augmented Conjugate Inference for Gaussian Processes

CBL Alumni Series: Examining Critiques in Bayesian Deep Learning

Secondmind's Research Activities to make Gaussian Processes Industry Proof

Failure Modes of Variational Autoencoders and Their Effects on Downstream Tasks

Gaussian Processes I Have Known

Causal Representation Learning