felix-laumann Goto Github PK
Name: Felix Laumann
Type: User
Company: Imperial College London, NeuralSpace
Bio: PhD in statistics from Imperial College London. Interests in kernel methods, causal discovery, NLP.
Location: London
Name: Felix Laumann
Type: User
Company: Imperial College London, NeuralSpace
Bio: PhD in statistics from Imperial College London. Interests in kernel methods, causal discovery, NLP.
Location: London
Interpreting Bayesian inference as continual learning with a CNN
Implementation of the continuous SID
Distance correlation and related E-statistics in Python
Detect the language from the given sentence
Historical functional linear model by Malfait & Ramsay (2003) in python
PyTorch implementations of LSTM Variants (Dropout + Layer Norm)
Finding linear correlations between the SDG targets using model-based machine learning
MMD and HSIC for non-stationary random processes
Functional Data Analysis Python package
A set of kernel-based (Un)conditional independence tests including SDCIT (Lee and Honavar, UAI 2017)
clustering the targets of the SDGs
Finding nonlinear relationships between the Sustainable Development Goals and climate change with partial distance correlations
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