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List of works by Max Welling

3D Steerable CNNs: Learning Rotationally Equivariant Features in Volumetric Data

scholarly article by Maurice Weiler et al published 2018 in Advances in Neural Information Processing Systems 31

3D scattering transforms for disease classification in neuroimaging.

scientific article

A Collapsed Variational Bayesian Inference Algorithm for Latent Dirichlet Allocation

scientific article published in January 2007

Accelerated Variational Dirichlet Process Mixtures

scientific article published in January 2007

Asynchronous Distributed Learning of Topic Models

Bayesian Bits: Unifying Quantization and Pruning

scientific article published in November 2020

Bayesian Compression for Deep Learning

scholarly article by Christos Louizos et al published 2017 in Advances in Neural Information Processing Systems 30

Bayesian Model Scoring in Markov Random Fields

scientific article published in January 2007

Bayesian dark knowledge

Bayesian k-Means as a "maximization-expectation" algorithm

scientific article published on April 2009

Causal Effect Inference with Deep Latent-Variable Models

scientific article published in January 2017

Collapsed Variational Inference for HDP

scientific article published in January 2008

Combinatorial Bayesian Optimization using the Graph Cartesian Product

scientific article published in January 2019

Combining Generative and Discriminative Models for Hybrid Inference

Control of Caenorhabditis elegans germ-line stem-cell cycling speed meets requirements of design to minimize mutation accumulation

scientific article

Deep Scale-spaces: Equivariance Over Scale

Distributed Inference for Latent Dirichlet Allocation

scientific article published in January 2008

Editor's Note

Editor's Note

Experimental design for MRI by greedy policy search

Exponential Family Harmoniums with an Application to Information Retrieval

Extreme Components Analysis

scientific article published in January 2004

Graph refinement based airway extraction using mean-field networks and graph neural networks

scientific article published on 09 June 2020

Graphical Generative Adversarial Networks

Improved Variational Inference with Inverse Autoregressive Flow

scientific article published in January 2016

Infinite State Bayes-Nets for Structured Domains

scientific article published in January 2008

Integer Discrete Flows and Lossless Compression

Invert to Learn to Invert

Learning Sparse Topographic Representations with Products of Student-t Distributions

scientific article published in January 2003

Linear Response for Approximate Inference

scientific article published in January 2004

Linear response algorithms for approximate inference in graphical models.

scientific article published in January 2004

MDP Homomorphic Networks: Group Symmetries in Reinforcement Learning

scientific article published in November 2020

Modeling Relational Data with Graph Convolutional Networks

scientific article (publication date: 30 March 2017)

Natural Graph Networks

scientific article published in November 2020

On Herding and the Perceptron Cycling Theorem

Optimization Monte Carlo: Efficient and Embarrassingly Parallel Likelihood-Free Inference

article by Ted Meeds & Max Welling published 2015 in Advances in Neural Information Processing Systems 28

POPE: post optimization posterior evaluation of likelihood free models

scientific article published on 20 August 2015

Positive tensor factorization

scientific article (publication date: October 2001)

Predicting Simulation Parameters of Biological Systems Using a Gaussian Process Model

scientific article published on December 2012

Probabilistic sequential independent components analysis

scientific article published in July 2004

Products of "Edge-perts"

scientific article published in January 2006

Recurrent inference machines for reconstructing heterogeneous MRI data

scientific article published on 18 January 2019

SE(3)-Transformers: 3D Roto-Translation Equivariant Attention Networks

scientific article published in November 2020

Self Supervised Boosting

scientific article published in January 2003

Semi-Supervised Classification with Graph Convolutional Networks

scientific article (publication date: 22 February 2017)

Semi-supervised learning with deep generative models

scholarly article

Sequential Tests for Large-Scale Learning

scientific article published on 24 November 2015

Spherical CNNs

scientific article published on 25 February 2018

Statistical Tests for Optimization Efficiency

scientific article published in January 2011

SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows

scientific article published in November 2020

The Convolution Exponential and Generalized Sylvester Flows

The Functional Neural Process

The Time-Marginalized Coalescent Prior for Hierarchical Clustering

scientific article published in January 2012

The Unified Propagation and Scaling Algorithm

Topographic product models applied to natural scene statistics.

scientific article published in February 2006

Unsupervised discovery of nonlinear structure using contrastive backpropagation

scientific article published on 01 July 2006

Unsupervised organization of image collections: taxonomies and beyond

scientific article published in November 2011

Variational Dropout and the Local Reparameterization Trick

Wormholes Improve Contrastive Divergence

scientific article published in January 2004