---
title: "Max Welling — all works, page 3 — Elamur Research"
description: "All 468 works of Max Welling in the Elamur Research library, the most cited first: our summaries where we have them, else the original."
canonical: "https://research.elamur.ai/free/en/authors/max-welling/works/page/3/"
---
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# Max Welling — all works

468 works · page 3 of 5 · 201–300 · [← Max Welling](https://md.research.elamur.ai/free/en/authors/max-welling/)

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201. **[Variational Flow Matching for Graph Generation ↗](https://doi.org/10.52202/079017-0374) neural information processing systems · no summary yet**Floor Eijkelboom et al.*2024 · 11 citations*
202. **[Position: Bayesian Deep Learning is Needed in the Age of Large-Scale AI ↗](https://arxiv.org/abs/2402.00809) arXiv (Cornell University) · no summary yet**Theodore Papamarkou et al.*2024 · 11 citations*
203. **[Topographic VAEs learn Equivariant Capsules ↗](https://arxiv.org/abs/2109.01394) arXiv (Cornell University) · no summary yet**Keller, T. Anderson, Max Welling*2021 · 11 citations*
204. **[Predictive Coding with Topographic Variational Autoencoders ↗](https://doi.org/10.1109/iccvw54120.2021.00127) IEEE/CVF International Conference on Computer Vision Workshops (ICCVW) · no summary yet**T. Anderson Keller, Max Welling*2021 · 11 citations*
205. **[E(n) Equivariant Normalizing Flows for Molecule Generation in 3D ↗](https://arxiv.org/abs/2105.09016) arXiv (Cornell University) · no summary yet**Víctor García Satorras et al.*2021 · 11 citations*
206. **[Covariance in Physics and Convolutional Neural Networks ↗](https://arxiv.org/abs/1906.02481) arXiv (Cornell University) · no summary yet**Miranda C. N. Cheng et al.*2019 · 11 citations*
207. **[Primal-Dual Wasserstein GAN ↗](https://arxiv.org/abs/1805.09575) arXiv (Cornell University) · no summary yet**Mevlana Gemici, Zeynep Akata, Max Welling*2018 · 11 citations*
208. **[Improved Bayesian Compression ↗](https://arxiv.org/abs/1711.06494) arXiv (Cornell University) · no summary yet**Marco Federici, Karen Ullrich, Max Welling*2017 · 11 citations*
209. **[Tenth International Workshop on Artificial Intelligence and Statistics ↗](https://openalex.org/W2607182503) no summary yet**Max Welling, Charles A. Sutton*2005 · 11 citations*
210. **[Geometric Clifford Algebra Networks ↗](https://arxiv.org/abs/2302.06594) arXiv (Cornell University) · no summary yet**David Ruhe et al.*2023 · 10 citations*
211. **[Probabilistic Numeric Convolutional Neural Networks ↗](https://arxiv.org/abs/2010.10876) arXiv (Cornell University) · no summary yet**Marc Finzi, Roberto Bondesan, Max Welling*2020 · 10 citations*
212. **[Meta-Learning for Medical Image Classification ↗](https://openalex.org/W2903133189) no summary yet**Shi Hu, Jakub M. Tomczak, Max Welling*2018 · 10 citations*
213. **[Mean Field Network Based Graph Refinement with Application to Airway Tree Extraction ↗](https://doi.org/10.1007/978-3-030-00934-2_83) Lecture notes in computer science · no summary yet**Raghavendra Selvan et al.*2018 · 10 citations*
214. **[Temporally Efficient Deep Learning with Spikes ↗](https://arxiv.org/abs/1706.04159) arXiv (Cornell University) · no summary yet**O'Connor, Peter, Efstratios Gavves, Max Welling*2017 · 10 citations*
215. **[Flexible Priors for Infinite Mixture Models ↗](https://openalex.org/W2119729372) no summary yet**Max Welling*2006 · 10 citations*
216. **[Probabilistic Sequential Independent Components Analysis ↗](https://doi.org/10.1109/tnn.2004.828765) IEEE Transactions on Neural Networks · no summary yet**Max Welling, Richard S. Zemel, Geoffrey E. Hinton*2004 · 10 citations*
217. **[Stochastic Optimal Control for Collective Variable Free Sampling of Molecular Transition Paths ↗](https://doi.org/10.52202/075280-3481) neural information processing systems · no summary yet**Lars Holdijk et al.*2023 · 9 citations*
218. **[Differentiable probabilistic models of scientific imaging with the Fourier slice theorem ↗](https://arxiv.org/abs/1906.07582) arXiv (Cornell University) · no summary yet**Karen Ullrich et al.*2019 · 9 citations*
219. **[Approximate Slice Sampling for Bayesian Posterior Inference ↗](https://dare.uva.nl/personal/pure/en/publications/approximate-slice-sampling-for-bayesian-posterior-inference(f9dee102-096b-42ad-8de5-4cf39ac6f0b1).html) UvA-DARE (University of Amsterdam) · no summary yet**Christopher DuBois et al.*2014 · 9 citations*
220. **[Statistical Tests for Optimization Efficiency ↗](https://openalex.org/W2113783689) ProQuest Demo Repository · no summary yet**Levi Boyles et al.*2011 · 9 citations*
221. **[The torus universe in the polygon approach to (2 + 1)-dimensional gravity ↗](https://doi.org/10.1088/0264-9381/14/4/010) Classical and Quantum Gravity · no summary yet**Max Welling*1997 · 9 citations*
222. **[Training a Spiking Neural Network with Equilibrium Propagation ↗](https://handle.uba.uva.nl/personal/pure/en/publications/training-a-spiking-neural-network-with-equilibrium-propagation(350c60a9-f6e6-487f-a578-69c65440dd21).html) UvA-DARE (University of Amsterdam) · no summary yet**Peter O’Connor, Efstratios Gavves, Max Welling*2019 · 8 citations*
223. **[Combinatorial Bayesian Optimization using Graph Representations. ↗](https://openalex.org/W2914348296) no summary yet**ChangYong Oh et al.*2019 · 8 citations*
224. **[Scalable Overlapping Community Detection ↗](https://doi.org/10.1109/ipdpsw.2016.165) IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW) · no summary yet**Ismail El-Helw et al.*2016 · 8 citations*
225. **[Practical Privacy For Expectation Maximization. ↗](https://arxiv.org/abs/1605.06995) arXiv (Cornell University) · no summary yet**Mijung Park et al.*2016 · 8 citations*
226. **[Bayesian Structure Learning for Markov Random Fields with a Spike and Slab Prior ↗](https://arxiv.org/abs/1206.1088) UvA-DARE (University of Amsterdam) · no summary yet**Yutian Chen, Max Welling*2012 · 8 citations*
227. **[Base Station Localization in Search of Empty Spectrum Spaces in Cognitive Radio Networks ↗](https://doi.org/10.1109/msn.2009.66) International Conference on Mobile Ad-Hoc and Sensor Networks (MSN) · no summary yet**Yuan Zhang et al.*2009 · 8 citations*
228. **[Bayesian Model Scoring in Markov Random Fields ↗](https://doi.org/10.7551/mitpress/7503.003.0139) The MIT Press eBooks · no summary yet**Sridevi Parise, Max Welling*2007 · 8 citations*
229. **[The Open DAC 2025 Dataset for Sorbent Discovery in Direct Air Capture ↗](https://arxiv.org/abs/2508.03162) arXiv (Cornell University) · no summary yet**Sriram, Anuroop et al.*2025 · 7 citations*
230. **[Artificial Kuramoto Oscillatory Neurons ↗](https://arxiv.org/abs/2410.13821) arXiv (Cornell University) · no summary yet**Takeru Miyato et al.*2024 · 7 citations*
231. **[Equivariant and Coordinate Independent Convolutional Networks ↗](https://doi.org/10.1142/14143) WORLD SCIENTIFIC eBooks · no summary yet**Maurice Weiler et al.*2024 · 7 citations*
232. **[Lie Point Symmetry and Physics-Informed Networks ↗](https://doi.org/10.52202/075280-1842) neural information processing systems · no summary yet**Tara Akhound-Sadegh et al.*2023 · 7 citations*
233. **[Latent Traversals in Generative Models as Potential Flows ↗](https://arxiv.org/abs/2304.12944) arXiv (Cornell University) · no summary yet**Song, Yue et al.*2023 · 7 citations*
234. **[The Convolution Exponential and Generalized Sylvester Flows ↗](https://arxiv.org/abs/2006.01910) arXiv (Cornell University) · no summary yet**Emiel Hoogeboom et al.*2020 · 7 citations*
235. **[Experimental design for MRI by greedy policy search ↗](https://arxiv.org/abs/2010.16262) arXiv (Cornell University) · no summary yet**Bakker, Tim, Herke van Hoof, Max Welling*2020 · 7 citations*
236. **[Artificial Intelligence versus Intelligence Engineering ↗](https://doi.org/10.1162/99608f92.364ce476) Harvard Data Science Review · no summary yet**Max Welling*2019 · 7 citations*
237. **[Private Topic Modeling ↗](https://arxiv.org/abs/1609.04120) UvA-DARE (University of Amsterdam) · no summary yet**Mijung Park et al.*2016 · 7 citations*
238. **[Protect Your Score: Contact-Tracing with Differential Privacy Guarantees ↗](https://doi.org/10.1609/aaai.v38i13.29402) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Rob Romijnders et al.*2024 · 6 citations*
239. **[The Hintons in your Neural Network: a Quantum Field Theory View of Deep Learning ↗](https://arxiv.org/abs/2103.04913) arXiv (Cornell University) · no summary yet**Roberto Bondesan, Max Welling*2021 · 6 citations*
240. **[Gradient 1 Regularization for Quantization Robustness ↗](https://arxiv.org/abs/2002.07520) arXiv (Cornell University) · no summary yet**Milad Alizadeh et al.*2020 · 6 citations*
241. **[Deep Learning with Permutation-invariant Operator for Multi-instance Histopathology Classification ↗](https://arxiv.org/abs/1712.00310) arXiv (Cornell University) · no summary yet**Jakub M. Tomczak, Maximilian Ilse, Max Welling*2017 · 6 citations*
242. **[Automatic Variational ABC ↗](https://arxiv.org/abs/1606.08549) arXiv (Cornell University) · no summary yet**Moreno, Alexander et al.*2016 · 6 citations*
243. **[The Time-Marginalized Coalescent Prior for Hierarchical Clustering ↗](https://handle.uba.uva.nl/personal/pure/en/publications/the-timemarginalized-coalescent-prior-for-hierarchical-clustering(6d59912e-0401-413f-a596-2470ed74c69b).html) UvA-DARE (University of Amsterdam) · no summary yet**Levi Boyles, Max Welling*2012 · 6 citations*
244. **[Hidden-Unit Conditional Random Fields ↗](https://openalex.org/W7098064333) no summary yet**Laurens van der Maaten, Max Welling, Lawrence K. Saul*2012 · 6 citations*
245. **[Predicting simulation parameters of biological systems using a Gaussian process model ↗](https://doi.org/10.1002/sam.11163) Statistical Analysis and Data Mining The ASA Data Science Journal · no summary yet**Xiangxin Zhu et al.*2012 · 6 citations*
246. **[BARNN: A Bayesian Autoregressive and Recurrent Neural Network ↗](https://arxiv.org/abs/2501.18665) arXiv (Cornell University) · no summary yet**Dario Coscia et al.*2025 · 5 citations*
247. **[Perspectives on the State and Future of Deep Learning - 2023 ↗](https://arxiv.org/abs/2312.09323) arXiv (Cornell University) · no summary yet**Micah Goldblum et al.*2023 · 5 citations*
248. **[Rotating Features for Object Discovery ↗](https://arxiv.org/abs/2306.00600) UvA-DARE (University of Amsterdam) · no summary yet**Sindy Löwe et al.*2023 · 5 citations*
249. **[Wasserstein Quantum Monte Carlo: A Novel Approach for Solving the Quantum Many-Body Schrödinger Equation ↗](https://doi.org/10.52202/075280-2770) neural information processing systems · no summary yet**Kirill Neklyudov et al.*2023 · 5 citations*
250. **[Alleviating Adversarial Attacks on Variational Autoencoders with MCMC ↗](https://doi.org/10.52202/068431-0641) neural information processing systems · no summary yet**Anna Kuzina, Max Welling, Jakub M. Tomczak*2022 · 5 citations*
251. **[Multi-Agent MDP Homomorphic Networks ↗](https://arxiv.org/abs/2110.04495) arXiv (Cornell University) · no summary yet**Elise van der Pol et al.*2021 · 5 citations*
252. **[Federated Learning of User Authentication Models ↗](https://arxiv.org/abs/2007.04618) arXiv (Cornell University) · no summary yet**Hosseini, Hossein et al.*2020 · 5 citations*
253. **[Initialized Equilibrium Propagation for Backprop-Free Training ↗](https://handle.uba.uva.nl/personal/pure/en/publications/initialized-equilibrium-propagation-for-backpropfree-training(c2fdad72-26ab-4c9b-8e9d-c457c22aa6f3).html) UvA-DARE (University of Amsterdam) · no summary yet**Peter O’Connor, Efstratios Gavves, Max Welling*2019 · 5 citations*
254. **[To Relieve Your Headache of Training an MRF, Take AdVIL ↗](https://arxiv.org/abs/1901.08400) arXiv (Cornell University) · no summary yet**Chongxuan Li et al.*2019 · 5 citations*
255. **[A deep multiple instance model to predict prostate cancer metastasis from nuclear morphology ↗](https://openalex.org/W2906030606) no summary yet**Nathan Ing et al.*2018 · 5 citations*
256. **[Herded gibbs sampling ↗](https://doi.org/10.5555/2946645.2946655) UvA-DARE (University of Amsterdam) · no summary yet**Yutian Chen et al.*2016 · 5 citations*
257. **[Scalable Inference on Kingman's Coalescent using Pair Similarity ↗](https://openalex.org/W2295220129) no summary yet**Dilan Görür, Levi Boyles, Max Welling*2012 · 5 citations*
258. **[Efficient Parametric Projection Pursuit Density Estimation ↗](https://arxiv.org/abs/1212.2513) arXiv (Cornell University) · no summary yet**Max Welling, Richard S. Zemel, Geoffrey E. Hinton*2012 · 5 citations*
259. **[Distributed Gibbs Sampling for Latent Variable Models ↗](https://doi.org/10.1017/cbo9781139042918.012) Cambridge University Press eBooks · no summary yet**Arthur Asuncion et al.*2011 · 5 citations*
260. **[Infinite State Bayes-Nets for Structured Domains ↗](https://openalex.org/W2170789131) neural information processing systems · no summary yet**Max Welling, Ian R. Porteous, Evgeniy Bart*2007 · 5 citations*
261. **[Linear Response for Approximate Inference ↗](https://openalex.org/W2154227688) no summary yet**Max Welling, Yee Whye Teh*2003 · 5 citations*
262. **[Passing and Bouncing Messages for Generalised Inference ↗](https://openalex.org/W3149366118) UCL Discovery (University College London) · no summary yet**Yee Whye Teh, Max Welling*2001 · 5 citations*
263. **[Learned free-energy functionals from pair-correlation matching for dynamical density functional theory ↗](https://doi.org/10.1103/22fd-ykkb) Physical review. E · no summary yet**Karnik Ram et al.*2025 · 4 citations*
264. **[GTA: A Geometry-Aware Attention Mechanism for Multi-View Transformers ↗](https://arxiv.org/abs/2310.10375) arXiv (Cornell University) · no summary yet**Takeru Miyato et al.*2023 · 4 citations*
265. **[Modeling Category-Selective Cortical Regions with Topographic Variational Autoencoders ↗](https://arxiv.org/abs/2110.13911) arXiv (Cornell University) · no summary yet**Keller, T. Anderson, Qinghe Gao, Max Welling*2021 · 4 citations*
266. **[Learning Equivariant Energy Based Models with Equivariant Stein Variational Gradient Descent ↗](https://arxiv.org/abs/2106.07832) arXiv (Cornell University) · no summary yet**Priyank Jaini, Lars Holdijk, Max Welling*2021 · 4 citations*
267. **[Modality-Agnostic Topology Aware Localization ↗](https://openalex.org/W3212406730) neural information processing systems · no summary yet**Farhad Ghazvinian Zanjani et al.*2021 · 4 citations*
268. **[Involutive MCMC: a Unifying Framework ↗](https://arxiv.org/abs/2006.16653) arXiv (Cornell University) · no summary yet**Kirill Neklyudov et al.*2020 · 4 citations*
269. **[Advances in neural information processing systems 26: 27th Annual Conference on Neural Information Processing Systems 2013: December 5-10, Lake Tahoe, Nevada, USA ↗](https://openalex.org/W2580581388) no summary yet**Chris J. C. Burges et al.*2014 · 4 citations*
270. **[Exploiting the Statistics of Learning and Inference ↗](https://arxiv.org/abs/1402.7025) arXiv (Cornell University) · no summary yet**Max Welling*2014 · 4 citations*
271. **[Generalized Belief Propagation on Tree Robust Structured Region Graphs ↗](https://arxiv.org/abs/1210.4857) UvA-DARE (University of Amsterdam) · no summary yet**Andrew E. Gelfand, Max Welling*2012 · 4 citations*
272. **[A Cluster-Cumulant Expansion at the Fixed Points of Belief Propagation ↗](https://arxiv.org/abs/1210.4916) arXiv (Cornell University) · no summary yet**Max Welling, Andrew E. Gelfand, Alexander Ihler*2012 · 4 citations*
273. **[Networks of mixture blocks for non parametric bayesian models with applications ↗](https://openalex.org/W2102556863) no summary yet**Max Welling, Ian R. Porteous*2010 · 4 citations*
274. **[Winding solutions for the two-particle system in gravity ↗](https://doi.org/10.1088/0264-9381/15/3/012) Classical and Quantum Gravity · no summary yet**Max Welling*1998 · 4 citations*
275. **[Pauli-Lubanski scalar in the Polygon Approach to 2+1-Dimensional Gravity ↗](https://openalex.org/W3100716506) no summary yet**Max Welling, M. Bijlsma*1996 · 4 citations*
276. **[Categorical Flow Maps ↗](https://arxiv.org/abs/2602.12233) arXiv (Cornell University) · no summary yet**Daan Roos et al.*2026 · 3 citations*
277. **[Controlled Generation with Equivariant Variational Flow Matching ↗](https://arxiv.org/abs/2506.18340) UvA-DARE (University of Amsterdam) · no summary yet**Floor Eijkelboom et al.*2025 · 3 citations*
278. **[Erwin: A Tree-based Hierarchical Transformer for Large-scale Physical Systems ↗](https://arxiv.org/abs/2502.17019) arXiv (Cornell University) · no summary yet**Zhdanov, Maksim, Max Welling, Jan-Willem van de Meent*2025 · 3 citations*
279. **[Riemannian Variational Flow Matching for Material and Protein Design ↗](https://arxiv.org/abs/2502.12981) arXiv (Cornell University) · no summary yet**Olga Zaghen et al.*2025 · 3 citations*
280. **[A Spatiotemporal Perspective on Dynamical Computation in Neural Information Processing Systems ↗](https://arxiv.org/abs/2409.13669) PubMed · no summary yet**T. Anderson Keller et al.*2024 · 3 citations*
281. **[Efficient Neural PDE-Solvers using Quantization Aware Training ↗](https://doi.org/10.1109/iccvw60793.2023.00154) IEEE/CVF International Conference on Computer Vision Workshops (ICCVW) · no summary yet**Winfried van den Dool et al.*2023 · 3 citations*
282. **[Flow Factorized Representation Learning ↗](https://doi.org/10.52202/075280-2166) neural information processing systems · no summary yet**Yue Song et al.*2023 · 3 citations*
283. **[Bayesian Optimization for Macro Placement ↗](https://arxiv.org/abs/2207.08398) arXiv (Cornell University) · no summary yet**Oh, Changyong et al.*2022 · 3 citations*
284. **[Quantum Deformed Neural Networks ↗](https://arxiv.org/abs/2010.11189) arXiv (Cornell University) · no summary yet**Roberto Bondesan, Max Welling*2020 · 3 citations*
285. **[Stochastic Activation Actor Critic Methods ↗](https://doi.org/10.1007/978-3-030-46133-1_7) Lecture notes in computer science · no summary yet**Wenling Shang et al.*2020 · 3 citations*
286. **[Accelerating the BSM interpretation of LHC data with machine learning ↗](https://arxiv.org/abs/1611.02704) arXiv (Cornell University) · no summary yet**Gianfranco Bertone et al.*2016 · 3 citations*
287. **[Hamiltonian ABC ↗](https://arxiv.org/abs/1503.01916) arXiv (Cornell University) · no summary yet**Edward Meeds, Robert Leenders, Max Welling*2015 · 3 citations*
288. **[Product of Edgeperts ↗](https://openalex.org/W7014460204) Max Planck Institute for Plasma Physics · no summary yet**Peter Gehler, Max Welling*2005 · 3 citations*
289. **[One-particle Hilbert space of 2+1 dimensional gravity using non-commuting coordinates ↗](https://doi.org/10.1016/s0920-5632(97)00368-x) Nuclear Physics B - Proceedings Supplements · no summary yet**Max Welling*1997 · 3 citations*
290. **[Some approaches to 2+1-dimensional gravity coupled to point-particles ↗](https://arxiv.org/abs/hep-th/9511211) arXiv (Cornell University) · no summary yet**Max Welling*1995 · 3 citations*
291. **[(Sparse) Attention to the Details: Preserving Spectral Fidelity in ML-based Weather Forecasting Models ↗](https://arxiv.org/abs/2604.16429) arXiv:2604.16429 · no summary yet**Maksim Zhdanov; Ana Lucic; Max Welling;, Jan-Willem van de Meent*2026 · 2 citations*
292. **[BLIPs: Bayesian Learned Interatomic Potentials ↗](https://arxiv.org/abs/2508.14022) arXiv (Cornell University) · no summary yet**Dario Coscia, de Haan, Pim, Max Welling*2025 · 2 citations*
293. **[Binding Dynamics in Rotating Features ↗](https://arxiv.org/abs/2402.05627) arXiv (Cornell University) · no summary yet**Sindy Löwe, Francesco Locatello, Max Welling*2024 · 2 citations*
294. **[No time to waste: practical statistical contact tracing with few low-bit messages ↗](https://handle.uba.uva.nl/personal/pure/en/publications/no-time-to-waste-practical-statistical-contact-tracing-with-few-lowbit-messages(e7ee61c7-6fb7-4dda-a93f-9a77f08fab59).html) UvA-DARE (University of Amsterdam) · no summary yet**R. Romijnders et al.*2023 · 2 citations*
295. **[Federated Learning of User Verification Models Without Sharing Embeddings ↗](https://arxiv.org/abs/2104.08776) arXiv (Cornell University) · no summary yet**Hosseini, Hossein et al.*2021 · 2 citations*
296. **[Sampling in Combinatorial Spaces with SurVAE Flow Augmented MCMC ↗](https://arxiv.org/abs/2102.02374) arXiv (Cornell University) · no summary yet**Priyank Jaini, Didrik Nielsen, Max Welling*2021 · 2 citations*
297. **[Deterministic Gibbs Sampling via Ordinary Differential Equations ↗](https://arxiv.org/abs/2106.10188) arXiv (Cornell University) · no summary yet**Kirill Neklyudov, Roberto Bondesan, Max Welling*2021 · 2 citations*
298. **[Argmax Flows: Learning Categorical Distributions with Normalizing Flows ↗](https://openalex.org/W3156867775) no summary yet**Emiel Hoogeboom et al.*2020 · 2 citations*
299. **[Sequential Tests for Large-Scale Learning ↗](https://doi.org/10.1162/neco_a_00796) Neural Computation · no summary yet**Anoop Korattikara, Yutian Chen, Max Welling*2015 · 2 citations*
300. **[The MIT Press ↗](https://openalex.org/W7100963211) no summary yet**Sebastian Nowozin et al.*2015 · 2 citations*

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