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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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Guided Variational Autoencoder for Disentanglement Learning

Apr 02, 2020
Zheng Ding, Yifan Xu, Weijian Xu, Gaurav Parmar, Yang Yang, Max Welling, Zhuowen Tu

* Accepted to CVPR 2020 

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Gauge Equivariant Mesh CNNs: Anisotropic convolutions on geometric graphs

Mar 11, 2020
Pim de Haan, Maurice Weiler, Taco Cohen, Max Welling


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Neural Enhanced Belief Propagation on Factor Graphs

Mar 04, 2020
Victor Garcia Satorras, Max Welling


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Plannable Approximations to MDP Homomorphisms: Equivariance under Actions

Feb 27, 2020
Elise van der Pol, Thomas Kipf, Frans A. Oliehoek, Max Welling

* To appear in Proceedings of the International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS 2020) 

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Gradient $\ell_1$ Regularization for Quantization Robustness

Feb 18, 2020
Milad Alizadeh, Arash Behboodi, Mart van Baalen, Christos Louizos, Tijmen Blankevoort, Max Welling

* ICLR 2020 

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Estimating Gradients for Discrete Random Variables by Sampling without Replacement

Feb 14, 2020
Wouter Kool, Herke van Hoof, Max Welling

* ICLR 2020 

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Simple and Accurate Uncertainty Quantification from Bias-Variance Decomposition

Feb 13, 2020
Shi Hu, Nicola Pezzotti, Dimitrios Mavroeidis, Max Welling


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Contrastive Learning of Structured World Models

Jan 05, 2020
Thomas Kipf, Elise van der Pol, Max Welling

* ICLR 2020 

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Taxonomy and Evaluation of Structured Compression of Convolutional Neural Networks

Dec 20, 2019
Andrey Kuzmin, Markus Nagel, Saurabh Pitre, Sandeep Pendyam, Tijmen Blankevoort, Max Welling


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Learning Likelihoods with Conditional Normalizing Flows

Nov 29, 2019
Christina Winkler, Daniel Worrall, Emiel Hoogeboom, Max Welling

* 18 pages, 8 Tables, 9 Figures, Preprint 

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Invert to Learn to Invert

Nov 25, 2019
Patrick Putzky, Max Welling


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i-RIM applied to the fastMRI challenge

Oct 20, 2019
Patrick Putzky, Dimitrios Karkalousos, Jonas Teuwen, Nikita Miriakov, Bart Bakker, Matthan Caan, Max Welling

* Abstract submitted to the fastMRI challenge 

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DP-MAC: The Differentially Private Method of Auxiliary Coordinates for Deep Learning

Oct 15, 2019
Frederik Harder, Jonas Köhler, Max Welling, Mijung Park


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An Introduction to Variational Autoencoders

Jul 24, 2019
Diederik P. Kingma, Max Welling


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