Max Welling
- Computer Vision and Pattern Recognition top 0.05%
- Generative Adversarial Networks and Image Synthesis 24
- Artificial Intelligence top 0.02%
- Gaussian Processes and Bayesian Inference 37
- Bayesian Methods and Mixture Models 36
- Neural Networks and Applications 34
- Domain Adaptation and Few-Shot Learning 17
- Machine Learning and Algorithms 16
- Bayesian Modeling and Causal Inference 13
- Topic Modeling 11
- Computational Mathematics top 1%
- Signal Processing top 0.2%
- Co-authors
- Diederik P. KingmaYee Whye TehZoubin GhahramaniKilian Q. WeinbergerNicu SebeArthur AsuncionPadhraic SmythDanilo Jimenez Rezende
- Journals
- Neural Computation (5 papers)Journal of Machine Learning Research (3 papers)Classical and Quantum Gravity (3 papers)
- Partner nations
- United StatesNetherlandsUnited Kingdom
In The Last Decade
Max Welling
197 papers receiving 19.7k citations
Hit Papers
Peers
Comparison fields: 5 of 208
- Computer Vision and Pattern Recognition 8.1k
- Artificial Intelligence 10.4k
- Computational Mathematics 139
- Signal Processing 2.2k
- Computer Graphics and Computer-Aided Design 412
Countries citing papers authored by Max Welling
This map shows the geographic impact of Max Welling's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Max Welling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Max Welling more than expected).
Fields of papers citing papers by Max Welling
This network shows the impact of papers produced by Max Welling. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Max Welling. The network helps show where Max Welling may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Max Welling, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 7 | |
| 2 | Equivariant 3D-conditional diffusion model for molecular linker designbreakdown → | 2024 | 70 |
| 3 | 2024 | 0 | |
| 4 | Neural Enhanced Belief Propagation on Factor Graphs | 2021 | 5 |
| 5 | Training a Spiking Neural Network with Equilibrium Propagation | 2019 | 2 |
| 6 | 2019 | 42 | |
| 7 | Batch-Shaped Channel Gated Networks. | 2019 | 4 |
| 8 | Graphical Generative Adversarial Networks | 2018 | 4 |
| 9 | 2016 | 175 | |
| 10 | 2016 | 5 | |
| 11 | A cluster-cumulant expansion at the fixed points of belief propagation | 2012 | 3 |
| 12 | The Time-Marginalized Coalescent Prior for Hierarchical Clustering | 2012 | 2 |
| 13 | Bayesian extreme components analysis | 2009 | 2 |
| 14 | Multi-HDP: a non parametric Bayesian model for tensor factorization | 2008 | 56 |
| 15 | Learning in Markov Random Fields with Contrastive Free Energies | 2005 | 21 |
| 16 | Robust Higher Order Statistics. | 2005 | 21 |
| 17 | 2004 | 26 | |
| 18 | Exponential Family Harmoniums with an Application to Information Retrievalbreakdown → | 2004 | 264 |
| 19 | On Improving the Efficiency of the Iterative Proportional Fitting Procedure | 2003 | 15 |
| 20 | Passing and Bouncing Messages for Generalised Inference | 2001 | 3 |
About Max Welling
Max Welling is a scholar working on Artificial Intelligence, Computational Mathematics and Computer Vision and Pattern Recognition, having authored 204 papers that have together received 20.6k indexed citations. Recurring topics across this work include Gaussian Processes and Bayesian Inference (37 papers), Bayesian Methods and Mixture Models (36 papers), Neural Networks and Applications (34 papers), Generative Adversarial Networks and Image Synthesis (24 papers), Domain Adaptation and Few-Shot Learning (17 papers), Machine Learning and Algorithms (16 papers), Bayesian Modeling and Causal Inference (13 papers) and Topic Modeling (11 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (8.1k citations), Artificial Intelligence (10.4k citations) and Computational Mathematics (139 citations). Max Welling has collaborated with scholars based in United States, Netherlands and United Kingdom. Frequent co-authors include Diederik P. Kingma, Yee Whye Teh, Zoubin Ghahramani, Kilian Q. Weinberger, Nicu Sebe, Arthur Asuncion, Padhraic Smyth, Danilo Jimenez Rezende, Shakir Mohamed and Chris Burges. Their work appears in journals such as Neural Computation, Journal of Machine Learning Research, Classical and Quantum Gravity, The Astrophysical Journal and Nuclear Physics B.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.