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CHEN_QUN's Projects

bad_gvamp_code icon bad_gvamp_code

Code for "Bilinear Adaptive Generalized Vector Approximate Message Passing", IEEE Access, 2018.

banf icon banf

BANF: Band-limited Neural Fields for Levels of Detail Reconstruction

baxus icon baxus

This is the code for our paper: Increasing the Scope as You Learn: Adaptive Bayesian Optimization in Nested Subspaces (Leonard Papenmeier, Luigi Nardi, and Matthias Poloczek)

bayes_extensive icon bayes_extensive

Repository for the paper Optimal Learning of Deep Random Networks of Extensive Width

bayesnewton icon bayesnewton

Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.

beliefpropagation.jl icon beliefpropagation.jl

Julia implementation of the Belief Propagation algorithm for a few discrete graphical models.

big-vamp icon big-vamp

Matlab code for the Bilinear Generalized Vector Approximate Message Passing algorithm

bindings-nufft-pytorch icon bindings-nufft-pytorch

Bindings to use a NUFFT in pytorch with differentiation with respect to the input and to the positions.

blackbox-coresets-vi icon blackbox-coresets-vi

A suite for blackbox variational inference using families of posterior approximations parameterised via learnable weighted summarising (pseudo)data.

block-alista icon block-alista

We present deep unfolding for BISTA-type algorithms, as well as Analytical Learned Block ISTA.

borat icon borat

A Stochastic Bundle Method for Interpolating Networks. JMLR 2021.

bpa icon bpa

[NeurIPS 2023] Rethinking the Backward Propagation for Adversarial Transferability

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