Research Posters

Research Posters

Below are the research posters that were preseneted at the Annual CDT meeting in October 2017.

  • Triantafyllos Afouras – Deep Learning for Lip Reading
  • Oliver Bent – Deploying Novel Exploration Techniques (NETs) for Malaria Policy Interventions – PDF
  • Fabian Fuchs – Addressing Drift and Overfitting in Deep Visual Odometry – PDF
  • Adam Golinski – Towards Inference Amortization for BUGS Models: BUGS to Anglican Compilation – PDF
  • Bradley Gram-Hansen – Hamiltonian Monte Carlo for Non-Differentiable Points in Probabilistic Programmng Languages
  • Xu Ji – DistinctiveNet: Self-supervised Objectness Losses for Detection – PDF
  • Shuyu Lin – Gaussian Process Based Spatial Inference of Environmental Properties with Noisy Location Data – PDF
  • Andrea Patane – Closed-loop Quantitative Verification of Rate-adaptive Pacemakers – PDF
  • Sasha Salter – Learning from Limited Demonstrations in High Dimensional Feature Spaces – PDF
  • Ed Wagstaff – Inverse Reinforcement Learning for Robotic Arm Control – PDF