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title: "Max Welling — all works, page 4 — 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."
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# Max Welling — all works

468 works · page 4 of 5 · 301–400 · [← Max Welling](https://md.research.elamur.ai/free/en/authors/max-welling/)

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301. **[Robust Data-Driven Dynamic Programming ↗](http://infoscience.epfl.ch/record/196322) Infoscience (Ecole Polytechnique Fédérale de Lausanne) · no summary yet**Burges, C. J. C. et al.*2013 · 2 citations*
302. **[Herding: driving deterministic dynamics to learn and sample probabilistic models ↗](https://openalex.org/W169823115) no summary yet**Max Welling, Yutian Chen*2013 · 2 citations*
303. **[Exchangeable inconsistent priors for Bayesian posterior inference ↗](https://doi.org/10.1109/ita.2012.6181768) Information Theory and Applications Workshop (ITA) · no summary yet**Max Welling, Ian Porteous, Kenichi Kurihara*2012 · 2 citations*
304. **[Integrating local classifiers through nonlinear dynamics on label graphs with an application to image segmentation ↗](https://doi.org/10.1109/iccv.2011.6126553) International Conference on Computer Vision · no summary yet**Yutian Chen et al.*2011 · 2 citations*
305. **[Bayesian extreme components analysis ↗](https://openalex.org/W1846068909) no summary yet**Yutian Chen, Max Welling*2009 · 2 citations*
306. **[The Pauli - Lubanski scalar in the polygon approach to (2+1)-dimensional gravity ↗](https://doi.org/10.1088/0264-9381/13/7/010) Classical and Quantum Gravity · no summary yet**Max Welling, M. Bijlsma*1996 · 2 citations*
307. **[Purrception: Variational Flow Matching for Vector-Quantized Image Generation ↗](https://arxiv.org/abs/2510.01478) arXiv (Cornell University) · no summary yet**Rǎzvan-Andrei Matişan et al.*2025 · 1 citation*
308. **[Kuramoto Orientation Diffusion Models ↗](https://doi.org/10.52202/085713-0143) neural information processing systems · no summary yet**Yue Song et al.*2025 · 1 citation*
309. **[Structured Representation Learning ↗](https://doi.org/10.1007/978-3-031-88111-4) Synthesis lectures on computer vision · no summary yet**Yue Song et al.*2025 · 1 citation*
310. **[Topographic Variational Autoencoders ↗](https://doi.org/10.1007/978-3-031-88111-4_3) Synthesis lectures on computer vision · no summary yet**Yue Song et al.*2025 · 1 citation*
311. **[Unsupervised Representation Learning From Sparse Transformation Analysis ↗](https://doi.org/10.1109/tpami.2025.3645586) IEEE Transactions on Pattern Analysis and Machine Intelligence · no summary yet**Yue Song et al.*2025 · 1 citation*
312. **[The END: An Equivariant Neural Decoder for Quantum Error Correction ↗](https://arxiv.org/abs/2304.07362) arXiv (Cornell University) · no summary yet**Evgenii Egorov, Roberto Bondesan, Max Welling*2023 · 1 citation*
313. **[Efficient Causal Inference from Combined Observational and Interventional Data through Causal Reductions ↗](https://arxiv.org/abs/2103.04786) arXiv (Cornell University) · no summary yet**Maximilian Ilse et al.*2021 · 1 citation*
314. **[Diagnosing Vulnerability of Variational Auto-Encoders to Adversarial Attacks ↗](https://arxiv.org/abs/2103.06701) arXiv (Cornell University) · no summary yet**Anna Kuzina, Max Welling, Jakub M. Tomczak*2021 · 1 citation*
315. **[An Expectation-Maximization Perspective on Federated Learning ↗](https://arxiv.org/abs/2111.10192) arXiv (Cornell University) · no summary yet**Christos Louizos et al.*2021 · 1 citation*
316. **[Federated Averaging as Expectation Maximization ↗](https://openalex.org/W3133335616) no summary yet**Christos Louizos et al.*2021 · 1 citation*
317. **[Mixed Variable Bayesian Optimization with Frequency Modulated Kernels ↗](https://arxiv.org/abs/2102.12792) arXiv (Cornell University) · no summary yet**ChangYong Oh, Efstratios Gavves, Max Welling*2021 · 1 citation*
318. **[Stochastic Thermodynamics ↗](https://doi.org/10.1017/9781009709071.013) Cambridge University Press eBooks · no summary yet**Max Welling, Sirui Lu, Lars Holdijk*2019 · 1 citation*
319. **[Training a Network of Spiking Neurons with Equilibrium Propagation ↗](https://openalex.org/W2910432054) no summary yet**Peter O’Connor, Efstratios Gavves, Max Welling*2018 · 1 citation*
320. **[Predictive Uncertainty through Quantization ↗](https://arxiv.org/abs/1810.05500) arXiv (Cornell University) · no summary yet**Bastiaan S. Veeling, Rianne van den Berg, Max Welling*2018 · 1 citation*
321. **[A note on privacy preserving iteratively reweighted least squares ↗](https://arxiv.org/abs/1605.07511) arXiv (Cornell University) · no summary yet**Mijung Park, Max Welling*2016 · 1 citation*
322. **[Visualizing Deep Neural Network Decisions ↗](https://openalex.org/W3082336426) ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam) · no summary yet**Luisa Zintgraf et al.*2016 · 1 citation*
323. **[Herded Gibbs Sampling ↗](https://arxiv.org/abs/1301.4168) UvA-DARE (University of Amsterdam) · no summary yet**Luke Bornn et al.*2013 · 1 citation*
324. **[Proceedings of the 26th International Conference on Neural Information Processing Systems - Volume 1 ↗](https://openalex.org/W2915246801) no summary yet**Chris J. C. Burges et al.*2013 · 1 citation*
325. **[Machine Learning on Very Large Data Sets: Distributed Gibbs Sampling for Latent Variable Models ↗](https://openalex.org/W2788843306) no summary yet**David J. Newman et al.*2012 · 1 citation*
326. **[Semisupervised Classifier Evaluation and Recalibration ↗](https://arxiv.org/abs/1210.2162) arXiv (Cornell University) · no summary yet**Peter Welinder, Max Welling, Pietro Perona*2012 · 1 citation*
327. **[Bayesian Random Fields: The Bethe-Laplace Approximation ↗](https://arxiv.org/abs/1206.6868) arXiv (Cornell University) · no summary yet**Max Welling, Sridevi Parise*2012 · 1 citation*
328. **[Unsupervised learning of object classes from natural scenes ↗](https://doi.org/10.1167/1.3.419) Journal of Vision · no summary yet**Pietro Perona, M. Weber, Max Welling*2010 · 1 citation*
329. **[An Expectation Maximization Algorithm for Inferring Offset-Normal Shape Distributions. ↗](https://openalex.org/W2399579332) no summary yet**Max Welling*2005 · 1 citation*
330. **[Approximate Contrastive Free Energies for Learning in Undirected Graphical Models ↗](https://openalex.org/W4090083) no summary yet**Max Welling, Geoffrey E. Hinton*2001 · 1 citation*
331. **[Discovering and decoding latent mean-field structure with variational autoencoders ↗](https://arxiv.org/abs/2606.08694) arXiv (Cornell University) · no summary yet**Marco Biroli, Max Welling, Vincenzo Vitelli*2026*
332. **[Kernel-Gradient Drifting Models ↗](https://arxiv.org/abs/2605.10727) arXiv (Cornell University) · no summary yet**Maria Esteban-Casadevall et al.*2026*
333. **[BaLoRA: Bayesian Low-Rank Adaptation of Large Scale Models ↗](https://arxiv.org/abs/2605.08110) arXiv (Cornell University) · no summary yet**Dario Coscia, Sindy Löwe, Max Welling*2026*
334. **[Stochastic Counterdiabatic Driving via Biorthogonal Liouvillian Eigenmodes ↗](https://arxiv.org/abs/2607.24393) arXiv (Cornell University) · no summary yet**Sandeep S. Cranganore et al.*2026*
335. **[AVQ-Attention: Adaptive Vector-Quantized Attention ↗](https://arxiv.org/abs/2607.12789) arXiv (Cornell University) · no summary yet**Winfried van den Dool et al.*2026*
336. **[Spontaneous symmetry breaking and Goldstone modes for deep information propagation ↗](https://arxiv.org/abs/2605.14685) arXiv (Cornell University) · no summary yet**Nabil Iqbal et al.*2026*
337. **[Flowing with Confidence ↗](https://arxiv.org/abs/2605.18472) arXiv (Cornell University) · no summary yet**Friso de Kruiff et al.*2026*
338. **[Krause Synchronization Transformers ↗](https://arxiv.org/abs/2602.11534) arXiv (Cornell University) · no summary yet**Jingkun Liu et al.*2026*
339. **[Robust Stochastic Gradient Posterior Sampling with Lattice Based Discretisation ↗](https://arxiv.org/abs/2602.15925) arXiv (Cornell University) · no summary yet**Zier Mensch et al.*2026*
340. **[QMaxCal: Path-Space Regularization for Open Quantum Control via Girsanov's Theorem ↗](https://arxiv.org/abs/2606.19947) arXiv (Cornell University) · no summary yet**Merijn Moody et al.*2026*
341. **[Reconciling Causality and Non-Equilibrium Thermodynamics with Hamiltonian Causal Models ↗](https://arxiv.org/abs/2606.04822) arXiv (Cornell University) · no summary yet**Dario Rancati, Max Welling, Francesco Locatello*2026*
342. **[Private PoEtry: Private In-Context Learning via Product of Experts ↗](https://arxiv.org/abs/2602.05012) arXiv (Cornell University) · no summary yet**Rob Romijnders et al.*2026*
343. **[Belief Propagation ↗](https://doi.org/10.1017/9781009709071.009) Cambridge University Press eBooks · no summary yet**Max Welling, Sirui Lu, Lars Holdijk*2026*
344. **[Continuous Normalizing Flows and Flow Matching ↗](https://doi.org/10.1017/9781009709071.027) Cambridge University Press eBooks · no summary yet**Max Welling, Sirui Lu, Lars Holdijk*2026*
345. **[Continuous-Time Probabilistic Dynamics ↗](https://doi.org/10.1017/9781009709071.024) Cambridge University Press eBooks · no summary yet**Max Welling, Sirui Lu, Lars Holdijk*2026*
346. **[Discrete-Time Stochastic Dynamics ↗](https://doi.org/10.1017/9781009709071.006) Cambridge University Press eBooks · no summary yet**Max Welling, Sirui Lu, Lars Holdijk*2026*
347. **[Epilogue ↗](https://doi.org/10.1017/9781009709071.028) Cambridge University Press eBooks · no summary yet**Max Welling, Sirui Lu, Lars Holdijk*2026*
348. **[Escorted Free Energy Estimations and Fluctuation Theorems ↗](https://doi.org/10.1017/9781009709071.022) Cambridge University Press eBooks · no summary yet**Max Welling, Sirui Lu, Lars Holdijk*2026*
349. **[Fluctuation Theorems ↗](https://doi.org/10.1017/9781009709071.020) Cambridge University Press eBooks · no summary yet**Max Welling, Sirui Lu, Lars Holdijk*2026*
350. **[Free Energy Estimation ↗](https://doi.org/10.1017/9781009709071.021) Cambridge University Press eBooks · no summary yet**Max Welling, Sirui Lu, Lars Holdijk*2026*
351. **[Generative AI and Stochastic Thermodynamics ↗](https://doi.org/10.1017/9781009709071) Cambridge University Press eBooks · no summary yet**Max Welling, Sirui Lu, Lars Holdijk*2026*
352. **[Generative Flow Networks ↗](https://doi.org/10.1017/9781009709071.019) Cambridge University Press eBooks · no summary yet**Max Welling, Sirui Lu, Lars Holdijk*2026*
353. **[Hybrid Stochastic Flows and Surjective Flows ↗](https://doi.org/10.1017/9781009709071.023) Cambridge University Press eBooks · no summary yet**Max Welling, Sirui Lu, Lars Holdijk*2026*
354. **[Latent Variable Models and Graphical Models ↗](https://doi.org/10.1017/9781009709071.007) Cambridge University Press eBooks · no summary yet**Max Welling, Sirui Lu, Lars Holdijk*2026*
355. **[Markov Chain Monte Carlo ↗](https://doi.org/10.1017/9781009709071.014) Cambridge University Press eBooks · no summary yet**Max Welling, Sirui Lu, Lars Holdijk*2026*
356. **[Markov Processes and Time Reversal ↗](https://doi.org/10.1017/9781009709071.012) Cambridge University Press eBooks · no summary yet**Max Welling, Sirui Lu, Lars Holdijk*2026*
357. **[Mathematical Preliminaries ↗](https://doi.org/10.1017/9781009709071.003) Cambridge University Press eBooks · no summary yet**Max Welling, Sirui Lu, Lars Holdijk*2026*
358. **[Neural Network Preliminaries ↗](https://doi.org/10.1017/9781009709071.004) Cambridge University Press eBooks · no summary yet**Max Welling, Sirui Lu, Lars Holdijk*2026*
359. **[Normalizing Flows ↗](https://doi.org/10.1017/9781009709071.011) Cambridge University Press eBooks · no summary yet**Max Welling, Sirui Lu, Lars Holdijk*2026*
360. **[Optimal Control ↗](https://doi.org/10.1017/9781009709071.018) Cambridge University Press eBooks · no summary yet**Max Welling, Sirui Lu, Lars Holdijk*2026*
361. **[Optimal Transport and Schrödinger Bridge ↗](https://doi.org/10.1017/9781009709071.026) Cambridge University Press eBooks · no summary yet**Max Welling, Sirui Lu, Lars Holdijk*2026*
362. **[Physics Preliminaries ↗](https://doi.org/10.1017/9781009709071.005) Cambridge University Press eBooks · no summary yet**Max Welling, Sirui Lu, Lars Holdijk*2026*
363. **[Preliminaries ↗](https://doi.org/10.1017/9781009709071.002) Cambridge University Press eBooks · no summary yet**Max Welling, Sirui Lu, Lars Holdijk*2026*
364. **[Schrödinger Bridges ↗](https://doi.org/10.1017/9781009709071.017) Cambridge University Press eBooks · no summary yet**Max Welling, Sirui Lu, Lars Holdijk*2026*
365. **[Sequential Importance Sampling ↗](https://doi.org/10.1017/9781009709071.015) Cambridge University Press eBooks · no summary yet**Max Welling, Sirui Lu, Lars Holdijk*2026*
366. **[Stochastic Thermodynamics from the Fokker–Planck Equation ↗](https://doi.org/10.1017/9781009709071.025) Cambridge University Press eBooks · no summary yet**Max Welling, Sirui Lu, Lars Holdijk*2026*
367. **[Thermodynamics of Probabilistic Machine Learning ↗](https://doi.org/10.1017/9781009709071.008) Cambridge University Press eBooks · no summary yet**Max Welling, Sirui Lu, Lars Holdijk*2026*
368. **[Unification: Free Energy is All You Need ↗](https://doi.org/10.1017/9781009709071.029) Cambridge University Press eBooks · no summary yet**Max Welling, Sirui Lu, Lars Holdijk*2026*
369. **[Variational Diffusion Models ↗](https://doi.org/10.1017/9781009709071.016) Cambridge University Press eBooks · no summary yet**Max Welling, Sirui Lu, Lars Holdijk*2026*
370. **[Adaptive Mesh-Quantization for Neural PDE Solvers ↗](https://arxiv.org/abs/2511.18474) arXiv (Cornell University) · no summary yet**Winfried van den Dool et al.*2025*
371. **[Accelerating scientific discovery with the common task framework ↗](https://arxiv.org/abs/2511.04001) arXiv (Cornell University) · no summary yet**J. Nathan Kutz et al.*2025*
372. **[Background ↗](https://doi.org/10.1007/978-3-031-88111-4_2) Synthesis lectures on computer vision · no summary yet**Yue Song et al.*2025*
373. **[Conclusion ↗](https://doi.org/10.1007/978-3-031-88111-4_8) Synthesis lectures on computer vision · no summary yet**Yue Song et al.*2025*
374. **[Flow Factorized Representation Learning ↗](https://doi.org/10.1007/978-3-031-88111-4_6) Synthesis lectures on computer vision · no summary yet**Yue Song et al.*2025*
375. **[Introduction ↗](https://doi.org/10.1007/978-3-031-88111-4_1) Synthesis lectures on computer vision · no summary yet**Yue Song et al.*2025*
376. **[Langevin Flows for Modeling Neural Latent Dynamics ↗](https://arxiv.org/abs/2507.11531) arXiv (Cornell University) · no summary yet**Yue Song et al.*2025*
377. **[Latent Traversal as Potential Flows ↗](https://doi.org/10.1007/978-3-031-88111-4_5) Synthesis lectures on computer vision · no summary yet**Yue Song et al.*2025*
378. **[Neural Wave Machines ↗](https://doi.org/10.1007/978-3-031-88111-4_4) Synthesis lectures on computer vision · no summary yet**Yue Song et al.*2025*
379. **[Unsupervised Factorized Representation Learning Based on Sparse Transformation Analysis ↗](https://doi.org/10.1007/978-3-031-88111-4_7) Synthesis lectures on computer vision · no summary yet**Yue Song et al.*2025*
380. **[The Variational Autoencoder ↗](https://doi.org/10.1017/9781009709071.010) Cambridge University Press eBooks · no summary yet**Max Welling, Sirui Lu, Lars Holdijk*2025*
381. **[GUD: Generation with Unified Diffusion ↗](https://arxiv.org/abs/2410.02667) arXiv (Cornell University) · no summary yet**Mathis Gerdes, Max Welling, Miranda C. N. Cheng*2024*
382. **[DNA: Differentially private Neural Augmentation for contact tracing ↗](https://arxiv.org/abs/2404.13381) arXiv (Cornell University) · no summary yet**Rob Romijnders et al.*2024*
383. **[Learning Objective-Specific Active Learning Strategies with Attentive Neural Processes ↗](https://doi.org/10.1007/978-3-031-43412-9_1) Lecture notes in computer science · no summary yet**Tim Bakker, Herke van Hoof, Max Welling*2023*
384. **[Batch Bayesian Optimization on Permutations using Acquisition Weighted Kernels ↗](https://handle.uba.uva.nl/personal/pure/en/publications/batch-bayesian-optimization-on-permutations-using-acquisition-weighted-kernels(dca9ea7c-d9df-4977-b5b1-d2791748d9a7).html) UvA-DARE (University of Amsterdam) · no summary yet**Roberto Bondesan et al.*2023*
385. **[Differential Equations and Continuous-Time Deep Learning (Dagstuhl Seminar 22,332) ↗](https://doi.org/10.4230/dagrep.12.8.20) DROPS (Schloss Dagstuhl – Leibniz Center for Informatics) · no summary yet**Duvenaud, David et al.*2023*
386. **[Quantum Techniques in Machine Learning (QTML conference 2023) ↗](https://openalex.org/W7137412839) CERN Document Server (European Organization for Nuclear Research) · no summary yet**Max Welling*2023*
387. **[On the Symmetries of the Synchronization Problem in Cryo-EM: Multi-Frequency Vector Diffusion Maps on the Projective Plane ↗](https://doi.org/10.52202/068431-0393) neural information processing systems · no summary yet**Gabriele Cesa et al.*2022*
388. **[Recent Advancements in Tractable Probabilistic Inference (Dagstuhl Seminar 22,161) ↗](https://doi.org/10.4230/dagrep.12.4.13) DROPS (Schloss Dagstuhl – Leibniz Center for Informatics) · no summary yet**Priyank Jaini et al.*2022*
389. **[Adversarial Defense via Image Denoising with Chaotic Encryption ↗](https://arxiv.org/abs/2203.10290) arXiv (Cornell University) · no summary yet**Hu, Shi, Eric Nalisnick, Max Welling*2022*
390. **[Secure Federated Learning of User Verification Models ↗](https://openalex.org/W3118584205) no summary yet**Hossein Hosseini et al.*2021*
391. **[Particle Dynamics for Learning EBMs ↗](https://arxiv.org/abs/2111.13772) arXiv (Cornell University) · no summary yet**Kirill Neklyudov, Priyank Jaini, Max Welling*2021*
392. **[How Can Machine Learning Help Computer Vision in the Next Decade? ↗](https://doi.org/10.11159/mvml21.003) Proceedings of the World Congress on Electrical Engineering and Computer Systems and Science · no summary yet**Max Welling*2021*
393. **[Self Normalizing Flows ↗](https://arxiv.org/abs/2011.07248) arXiv (Cornell University) · no summary yet**Keller, T. Anderson et al.*2020*
394. **[Variational Bayes in Private Settings (VIPS) (Extended Abstract) ↗](https://doi.org/10.24963/ijcai.2020/705) International Joint Conference on Artificial Intelligence · no summary yet**James R. Foulds et al.*2020*
395. **[Simple and Accurate Uncertainty Quantification from Bias-Variance Decomposition ↗](https://arxiv.org/abs/2002.05582) arXiv (Cornell University) · no summary yet**Shi Hu et al.*2020*
396. **[Orbital MCMC ↗](https://arxiv.org/abs/2010.08047) arXiv (Cornell University) · no summary yet**Kirill Neklyudov, Max Welling*2020*
397. **[Deep Learning for Compute in Memory ↗](https://openalex.org/W3132160367) no summary yet**Matthias Reisser et al.*2020*
398. **[3D Equivariant Graph Neural Networks for Drug Discovery ↗](https://openalex.org/W3087382772) no summary yet**Max Welling*2020*
399. **[Integrating Generative Modeling into Deep Learning. ↗](https://doi.org/10.48448/q02e-3g68) International Conference on Pattern Recognition Applications and Methods · no summary yet**Max Welling*2020*
400. **[DP-MAC: The Differentially Private Method of Auxiliary Coordinates for Deep Learning ↗](https://arxiv.org/abs/1910.06924) arXiv (Cornell University) · no summary yet**Frederik Harder et al.*2019*

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