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1:01:06
Retrieval Augmented NLP
1:25:25
Optimal Transport Metrics
1:30:49
Energy-Based Models
1:10:11
Deep Kernels
1:18:10
Ethics, Integrity and Good Practice in ML
1:08:40
CBL Alumni Talk: Nonlinear filtering as a unifying principle in neuroscience
0:58:04
CBL Alumni Talk: Latent Stochastic Differential Equations: An Unexplored Model Class
1:16:56
The Statistical Finite Element Method
1:20:23
CBL Alumni Series: Accurate Gaussian Processes and how they can help Deep Learning
1:38:00
An Introduction to PAC-Bayes
0:33:55
Guest Talk: Automated Augmented Conjugate Inference for Gaussian Processes
1:09:20
CBL Alumni Series: Examining Critiques in Bayesian Deep Learning
0:49:10
Secondmind's Research Activities to make Gaussian Processes Industry Proof
1:03:45
Failure Modes of Variational Autoencoders and Their Effects on Downstream Tasks
1:20:43
Gaussian Processes I Have Known
1:29:15
Causal Representation Learning