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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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Orbital MCMC


Oct 15, 2020
Kirill Neklyudov, Max Welling


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Natural Graph Networks


Jul 16, 2020
Pim de Haan, Taco Cohen, Max Welling


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Federated Learning of User Authentication Models


Jul 09, 2020
Hossein Hosseini, Sungrack Yun, Hyunsin Park, Christos Louizos, Joseph Soriaga, Max Welling


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


Jul 06, 2020
Didrik Nielsen, Priyank Jaini, Emiel Hoogeboom, Ole Winther, Max Welling


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RE-MIMO: Recurrent and Permutation Equivariant Neural MIMO Detection


Jun 30, 2020
Kumar Pratik, Bhaskar D. Rao, Max Welling

* This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible 

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MDP Homomorphic Networks: Group Symmetries in Reinforcement Learning


Jun 30, 2020
Elise van der Pol, Daniel E. Worrall, Herke van Hoof, Frans A. Oliehoek, Max Welling


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Involutive MCMC: a Unifying Framework


Jun 30, 2020
Kirill Neklyudov, Max Welling, Evgenii Egorov, Dmitry Vetrov


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


Jun 22, 2020
Fabian B. Fuchs, Daniel E. Worrall, Volker Fischer, Max Welling


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Amortized Causal Discovery: Learning to Infer Causal Graphs from Time-Series Data


Jun 18, 2020
Sindy Löwe, David Madras, Richard Zemel, Max Welling


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The Convolution Exponential and Generalized Sylvester Flows


Jun 02, 2020
Emiel Hoogeboom, Victor Garcia Satorras, Jakub M. Tomczak, Max Welling


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Bayesian Bits: Unifying Quantization and Pruning


May 15, 2020
Mart van Baalen, Christos Louizos, Markus Nagel, Rana Ali Amjad, Ying Wang, Tijmen Blankevoort, Max Welling


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A Data and Compute Efficient Design for Limited-Resources Deep Learning


Apr 21, 2020
Mirgahney Mohamed, Gabriele Cesa, Taco S. Cohen, Max Welling

* Accepted for poster presentation at the Practical Machine Learning for Developing Countries (PML4DC) workshop, ICLR 2020 

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