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Picture for Max Welling

Particle Dynamics for Learning EBMs


Nov 26, 2021
Kirill Neklyudov, Priyank Jaini, Max Welling


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An Expectation-Maximization Perspective on Federated Learning


Nov 19, 2021
Christos Louizos, Matthias Reisser, Joseph Soriaga, Max Welling


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Modeling Category-Selective Cortical Regions with Topographic Variational Autoencoders


Oct 25, 2021
T. Anderson Keller, Qinghe Gao, Max Welling


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Multi-Agent MDP Homomorphic Networks


Oct 09, 2021
Elise van der Pol, Herke van Hoof, Frans A. Oliehoek, Max Welling


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Geometric and Physical Quantities improve E(3) Equivariant Message Passing


Oct 06, 2021
Johannes Brandstetter, Rob Hesselink, Elise van der Pol, Erik Bekkers, Max Welling


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Neural Augmentation of Kalman Filter with Hypernetwork for Channel Tracking


Sep 26, 2021
Kumar Pratik, Rana Ali Amjad, Arash Behboodi, Joseph B. Soriaga, Max Welling

* Accepted at IEEE Globecom 2021. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works 

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Topographic VAEs learn Equivariant Capsules


Sep 03, 2021
T. Anderson Keller, Max Welling


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Federated Mixture of Experts


Jul 14, 2021
Matthias Reisser, Christos Louizos, Efstratios Gavves, Max Welling


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Deterministic Gibbs Sampling via Ordinary Differential Equations


Jun 18, 2021
Kirill Neklyudov, Roberto Bondesan, Max Welling


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Learning Equivariant Energy Based Models with Equivariant Stein Variational Gradient Descent


Jun 15, 2021
Priyank Jaini, Lars Holdijk, Max Welling


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Coordinate Independent Convolutional Networks -- Isometry and Gauge Equivariant Convolutions on Riemannian Manifolds


Jun 10, 2021
Maurice Weiler, Patrick Forré, Erik Verlinde, Max Welling

* The implementation of orientation independent M\"obius convolutions is publicly available at https://github.com/mauriceweiler/MobiusCNNs 

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E(n) Equivariant Normalizing Flows


Jun 08, 2021
Victor Garcia Satorras, Emiel Hoogeboom, Fabian B. Fuchs, Ingmar Posner, Max Welling


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E(n) Equivariant Normalizing Flows for Molecule Generation in 3D


May 19, 2021
Victor Garcia Satorras, Emiel Hoogeboom, Fabian B. Fuchs, Ingmar Posner, Max Welling


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A Practical Method for Constructing Equivariant Multilayer Perceptrons for Arbitrary Matrix Groups


Apr 19, 2021
Marc Finzi, Max Welling, Andrew Gordon Wilson

* Library: https://github.com/mfinzi/equivariant-MLP, Documentation: https://emlp.readthedocs.io/en/latest/, Examples: https://colab.research.google.com/github/mfinzi/equivariant-MLP/blob/master/docs/notebooks/colabs/all.ipynb 

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Federated Learning of User Verification Models Without Sharing Embeddings


Apr 18, 2021
Hossein Hosseini, Hyunsin Park, Sungrack Yun, Christos Louizos, Joseph Soriaga, Max Welling


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Diagnosing Vulnerability of Variational Auto-Encoders to Adversarial Attacks


Mar 19, 2021
Anna Kuzina, Max Welling, Jakub M. Tomczak


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The Hintons in your Neural Network: a Quantum Field Theory View of Deep Learning


Mar 08, 2021
Roberto Bondesan, Max Welling


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Efficient Causal Inference from Combined Observational and Interventional Data through Causal Reductions


Mar 08, 2021
Maximilian Ilse, Patrick Forré, Max Welling, Joris M. Mooij


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Sampling in Combinatorial Spaces with SurVAE Flow Augmented MCMC


Mar 01, 2021
Priyank Jaini, Didrik Nielsen, Max Welling

* Accepted at AISTATS 2021; added experiments with longer MCMC chains 

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Batch Bayesian Optimization on Permutations using Acquisition Weighted Kernels


Feb 26, 2021
Changyong Oh, Roberto Bondesan, Efstratios Gavves, Max Welling


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Mixed Variable Bayesian Optimization with Frequency Modulated Kernels


Feb 25, 2021
Changyong Oh, Efstratios Gavves, Max Welling


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Deep Policy Dynamic Programming for Vehicle Routing Problems


Feb 23, 2021
Wouter Kool, Herke van Hoof, Joaquim Gromicho, Max Welling

* 12 pages, 7 figures 

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E(n) Equivariant Graph Neural Networks


Feb 19, 2021
Victor Garcia Satorras, Emiel Hoogeboom, Max Welling


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Argmax Flows and Multinomial Diffusion: Towards Non-Autoregressive Language Models


Feb 10, 2021
Emiel Hoogeboom, Didrik Nielsen, Priyank Jaini, Patrick Forré, Max Welling


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Self Normalizing Flows


Nov 14, 2020
T. Anderson Keller, Jorn W. T. Peters, Priyank Jaini, Emiel Hoogeboom, Patrick Forré, Max Welling


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Experimental design for MRI by greedy policy search


Oct 30, 2020
Tim Bakker, Herke van Hoof, Max Welling

* Accepted to NeurIPS 2020 (spotlight) 

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Probabilistic Numeric Convolutional Neural Networks


Oct 21, 2020
Marc Finzi, Roberto Bondesan, Max Welling


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Quantum Deformed Neural Networks


Oct 21, 2020
Roberto Bondesan, Max Welling


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