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Alex Immer's Projects

bnn-predictions icon bnn-predictions

Improving predictions of Bayesian neural nets via local linearization, AISTATS 2021

fwdl icon fwdl

Frank Wolfe for Deep Learning

heteroscedastic-nn icon heteroscedastic-nn

Code for "Effective Bayesian Heteroscedastic Regression with Deep Neural Networks" (NeurIPS 2023)

laplace icon laplace

Laplace approximations for Deep Learning.

loci icon loci

Estimation of Causal Location-Scale Noise Models

marglik icon marglik

Marginal likelihood estimation for model selection in deep learning

ntk-marglik icon ntk-marglik

Code for "Stochastic Marginal Likelihood Gradients using Neural Tangent Kernels" at ICML'23

pdoc icon pdoc

:snake: :arrow_right: :scroll: Auto-generate API documentation for Python projects

run-dmc icon run-dmc

Solution repository of DMC-16 finalist team

vind icon vind

Variational Inference with Numerical Derivatives: variance reduction through coupling

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