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The Gaussian Process Latent Autoregressive Model
https://www.mlmi.eng.cam.ac.uk/files/2019-2020_dissertations/gaussian_process_latent_autoregressive_model.pdf11 Feb 2021: The Gaussian Process LatentAutoregressive Model. Rui Xia. Supervisors:Dr. Richard E. Turner. Wessel BruinsmaWilliam Tebbutt. Department of EngineeringUniversity of Cambridge. This dissertation is submitted for the degree ofMaster of Philosophy in -
Neural Models for Non-Uniformly Sampled Data
https://www.mlmi.eng.cam.ac.uk/files/2019-2020_dissertations/neural_models_for_non-uniformly_sampled_data.pdf11 Feb 2021: θ ELBO({xi}ni=1,{φ ti }ni=1,θ t1) nθ ELBO(xi,φ ti ,θ t1),i U {1,.,n} (2.24). ... Finally, this latent function. 24 Related Work. z(t) is used to obtain parameters of the predictive distribution at each target time locationt T1:NT. -
Co-activation detection in ten-finger typing on a virtual keyboard
https://www.mlmi.eng.cam.ac.uk/files/2019-2020_dissertations/co-activation_detection_in_ten-finger_typing_on_a_virtual_keyboard.pdf19 Feb 2021: 4] and uses the dataset they collected. Thisdataset comprises of tracking data for 24 participants. -
Information-Theoretic Exploration with Successor Uncertainties
https://www.mlmi.eng.cam.ac.uk/files/2019-2020_dissertations/information_theoretic_exploration_with_successor_uncertainties.pdf11 Feb 2021: 24 Exploration vs Exploitation. to a greedy policy in which, at any state, the agent performs the action that maximizes theestimated value function. -
Causal Representation Learning for Latent Space Optimization
https://www.mlmi.eng.cam.ac.uk/files/2020-2021_dissertations/causal_representation_learning_for_latent_space_optimization.pdf15 Nov 2021: Causal Representation Learning forLatent Space Optimization. Wenlin Chen. Department of EngineeringUniversity of Cambridge. This dissertation is submitted for the degree ofMaster of Philosophy in Machine Learning and Machine Intelligence. St -
Depth Uncertainty Networks for Active Learning
https://www.mlmi.eng.cam.ac.uk/files/2020-2021_dissertations/depth_uncertainty_networks_for_active_learning_reduced.pdf15 Nov 2021: decaying priors. 604.24 Overfitting bias for DUNs with uniform and decaying priors trained with R̃. ... w = t(φ,ε) = µ σ ε ; ε N(0,I), (2.24). -
Precise Positioning of a Drone using Spoken Language Commands ...
https://www.mlmi.eng.cam.ac.uk/files/2019-2020_dissertations/precise_positioning_of_a_drone_using_spoken_language_commands.pdf11 Feb 2021: 24. Candidate ID: G708 Precise Positioning of a Drone using Spoken Language Commands. -
Conditional Neural Processes and Semi-Supervised Learning
https://www.mlmi.eng.cam.ac.uk/files/2020-2021_dissertations/conditional_neural_processes_and_semi-supervised_learning_0.pdf15 Nov 2021: Conditional Neural Processes andSemi-Supervised Learning. Max-Olivier Van Bastelaer. Department of EngineeringUniversity of Cambridge. This dissertation is submitted for the degree ofMaster of Philosophy in Machine Learning and Machine Intelligence.
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