argmax.ai

Continual Learning with Bayesian Neural Networks for Non-Stationary Data

Adapting to changing environments

Estimating Fingertip Forces, Torques, and Object Curvatures from Fingernail Images

Layerwise learning for quantum neural networks

Solving vanishing gradients in quantum neural networks

Learning to Fly

Deep Model-Based Reinforcement Learning in the real world

Learning Flat Manifold of VAEs

How to create latent spaces without nasty curvatures

Approximate Bayesian inference in spatial environments

How to reason about space and moving agents

Learning Hierarchical Priors in VAEs

A constrained optimisation approach

How to Learn Functions on Sets with Neural Networks

And how to choose your aggregation

Approximate Geodesics for Deep Generative Models

How to efficiently find the shortest path in latent space

Network Architecture Optimisation

The Bayesian way

Deep Variational Bayes Filter

DVBF: filter to learn what to filter

About

Machine Learning Research Lab, Volkswagen Group