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Publications

2022

Complex-Valued Autoencoders for Object Discovery

  Sindy Löwe  •  Phillip Lippe  •  Maja Rudolph  •  Max Welling  
Published in: Transactions on Machine Learning Research (2022)

Abstract | PDF | BibTeX | Code

Batch Bayesian Optimization on Permutations using the Acquisition Weighted Kernel

  Changyong Oh  •  Roberto Bondesan  •  Efstratios Gavves  •  Max Welling  
Published in: Advances in Neural Information Processing Systems (2022)

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On the symmetries of the synchronization problem in Cryo-EM: Multi-Frequency Vector Diffusion Maps on the Projective Plane

  Gabriele Cesa  •  Arash Behboodi  •  Taco Cohen  •  Max Welling  
Published in: Advances in Neural Information Processing Systems (2022)

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A PAC-Bayesian Generalization Bound for Equivariant Networks

  Arash Behboodi  •  Gabriele Cesa  •  Taco Cohen  
Published in: Advances in Neural Information Processing Systems (2022)

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Weakly supervised causal representation learning

  Johann Brehmer  •  Pim de Haan  •  Phillip Lippe  •  Taco Cohen  
Published in: Advances in Neural Information Processing Systems (2022)

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Less Than Few: Self-shot Video Instance Segmentation

  Pengwan Yang  •  Yuki M. Asano  •  Pascal Mettes  •  Cees G. M. Snoek  
Published in: Computer Vision -- ECCV 2022 (2022)

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CITRIS: Causal Identifiability from Temporal Intervened Sequences

  Phillip Lippe  •  Sara Magliacane  •  Sindy Löwe  •  Yuki M Asano  •  Taco Cohen  •  Stratis Gavves  
Published in: Proceedings of the 39th International Conference on Machine Learning (2022)

Abstract | PDF | BibTeX | Code

A Program to Build E(N)-Equivariant Steerable CNNs

  Gabriele Cesa  •  Leon Lang  •  Maurice Weiler  
Published in: International Conference on Learning Representations (2022)

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Stability Regularization for Discrete Representation Learning

  Adeel Pervez  •  Efstratios Gavves  
Published in: International Conference on Learning Representations (2022)

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Efficient Neural Causal Discovery without Acyclicity Constraints

  Phillip Lippe  •  Taco Cohen  •  Efstratios Gavves  
Published in: International Conference on Learning Representations (2022)

Abstract | PDF | BibTeX | Code

2021

Motion-Augmented Self-Training for Video Recognition at Smaller Scale

  Kirill Gavrilyuk  •  Mihir Jain  •  Ilia Karmanov  •  Cees G M Snoek  
Published in: ICCV (2021)

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Spectral Smoothing Unveils Phase Transitions in Hierarchical Variational Autoencoders

  Adeel Pervez  •  Efstratios Gavves  
Published in: Proceedings of the 38th International Conference on Machine Learning (2021)

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Categorical Normalizing Flows via Continuous Transformations

  Phillip Lippe  •  Efstratios Gavves  
Published in: International Conference on Learning Representations (2021)

Abstract | PDF | BibTeX | Code

Gauge Equivariant Mesh CNNs: Anisotropic convolutions on geometric graphs

  Pim De Haan  •  Maurice Weiler  •  Taco Cohen  •  Max Welling  
Published in: International Conference on Learning Representations (2021)

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A Wigner-Eckart Theorem for Group Equivariant Convolution Kernels

  Leon Lang  •  Maurice Weiler  
Published in: International Conference on Learning Representations (2021)

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2020

Natural Graph Networks

  Pim de Haan  •  Taco S Cohen  •  Max Welling  
Published in: Advances in Neural Information Processing Systems (2020)

Abstract | PDF | BibTeX

Cloth in the Wind: A Case Study of Physical Measurement Through Simulation

  Tom F. H. Runia  •  Kirill Gavrilyuk  •  Cees G. M. Snoek  •  Arnold W. M. Smeulders  
Published in: CVPR (2020)

Abstract | PDF | BibTeX | Code | Website

ActionBytes: Learning From Trimmed Videos to Localize Actions

  Mihir Jain  •  Amir Ghodrati  •  Cees G. M. Snoek  
Published in: CVPR (2020)

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Quasibinary Classifier for Images with Zero and Multiple Labels

  Shuai Liao  •  Efstratios Gavves  •  ChangYong Oh  •  Cees Snoek  
Published in: International Conference on Pattern Recognition (2020)

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Low Bias Low Variance Gradient Estimates for Hierarchical Boolean Stochastic Networks

  Adeel Pervez  •  Taco Cohen  •  Efstratios Gavves  
Published in: ICML (2020)

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Self-Selective Context for Interaction Recognition

  Mert Kilickaya  •  Noureldien Hussein  •  Efstratios Gavves  •  Arnold Smeulders  
Published in: ICPR (2020)

Abstract | BibTeX

Tackling Occlusion in Siamese Tracking with Structured Dropouts

  Deepak Gupta  •  Efstratios Gavves  •  Arnold Smeulders  
Published in: ICPR (2020)

Abstract | BibTeX

Model Decay in Long-Term Tracking

  Efstratios Gavves  •  Ran Tao  •  Deepak Gupta  •  Arnold Smeulders  
Published in: ICPR (2020)

Abstract | BibTeX

2019

General E(2)-Equivariant Steerable CNNs

  Maurice Weiler  •  Gabriele Cesa  
Published in: Advances in Neural Information Processing Systems (2019)

Abstract | PDF | BibTeX | Code

A General Theory of Equivariant CNNs on Homogeneous Spaces

  Taco S Cohen  •  Mario Geiger  •  Maurice Weiler  
Published in: Advances in Neural Information Processing Systems (2019)

Abstract | PDF | BibTeX

Combinatorial Bayesian Optimization using the Graph Cartesian Product

  Changyong Oh  •  Jakub Tomczak  •  Efstratios Gavves  •  Max Welling  
Published in: Advances in Neural Information Processing Systems 32 (2019)

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Repetition Estimation

  Tom Runia  •  Cees G M Snoek  •  Arnold W M Smeulders  
Published in: International Journal of Computer Vision (2019)

Abstract | PDF | BibTeX | Code

Spherical regression: Learning viewpoints, surface normals and 3D rotations on n-spheres

  Shuai Liao  •  Efstratios Gavves  •  Cees G.M. Snoek  
Published in: CVPR (2019)

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Timeception for complex action recognition

  Noureldien Hussein  •  Efstratios Gavves  •  Arnold W.M. Smeulders  
Published in: CVPR (2019)

Abstract | PDF | BibTeX

Gauge equivariant convolutional networks and the icosahedral CNN

  Taco S. Cohen  •  Maurice Weiler  •  Berkay Kicanaoglu  •  Max Welling  
Published in: ICML (2019)

Abstract | PDF | BibTeX

Relaxed quantization for discretized neural networks

  Christos Louizos  •  Matthias Reisser  •  Tijmen Blankevoort  •  Efstratios Gavves  •  Max Welling  
Published in: ICLR (2019)

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Initialized equilibrium propagation for backprop-free training

  Peter O'Connor  •  Efstratios Gavves  •  Max Welling  
Published in: ICLR (2019)

Abstract | BibTeX

Training a spiking neural network with equilibrium propagation

  Peter O'Connor  •  Efstratios Gavves  •  Max Welling  
Published in: AISTATS (2019)

Abstract | BibTeX

2018

BOCK: Bayesian Optimization with Cylindrical Kernels

  Chang Yong Oh  •  Efstratios Gavves  •  Max Welling  
Published in: ICML (2018)

Abstract | PDF | BibTeX

Estimating small differences in car-pose from orbits

  Berkay Kicanaoglu  •  Ran Tao  •  Arnold WM Smeulders  
Published in: BMCV (2018)

Abstract | PDF | BibTeX

Learning Steerable Filters for Rotation Equivariant CNNs

  Maurice Weiler  •  Fred A. Hamprecht  •  Martin Storath  
Published in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2018)

Abstract | BibTeX

Actor and Action Video Segmentation from a Sentence

  Kirill Gavrilyuk  •  Amir Ghodrati  •  Zhenyang Li  •  Cees G.M. Snoek  
Published in: CVPR (2018)

Abstract | PDF | BibTeX

Real-World Repetition Estimation by Div, Grad and Curl

  Tom F.H. Runia  •  Cees G.M. Snoek  •  Arnold W.M. Smeulders  
Published in: CVPR (2018)

Abstract | PDF | BibTeX

Temporally efficient deep learning with spikes

  Peter O'Connor  •  Efstratios Gavves  •  Matthias Reisser  •  Max Welling  
Published in: ICLR (2018)

Abstract | PDF | BibTeX

VideoLSTM convolves, attends and flows for action recognition

  Zhenyang Li  •  Kirill Gavrilyuk  •  Efstratios Gavves  •  Mihir Jain  •  Cees G.M. Snoek  
Published in: CVIU (2018)

Abstract | PDF | BibTeX

Video Time: Properties, encoders and evaluation

  Amir Ghodrati  •  Efstratios Gavves  •  Cees G.M. Snoek  
Published in: BMVC (2018)

Abstract | PDF | BibTeX

Searching and matching texture-free 3D shapes in images

  Shuai Liao  •  Efstratios Gavves  •  Cees G.M. Snoek  
Published in: ICMR (2018)

Abstract | PDF | BibTeX

2017

Video2vec Embeddings Recognize Events When Examples Are Scarce

  Amirhossein Habibian  •  Thomas Mensink  •  Cees G.M. Snoek  
Published in: PAMI (2017)

Abstract | PDF | BibTeX

Tracking by natural language specification

  Zhenyang Li  •  Ran Tao  •  Efstratios Gavves  •  Cees G.M. Snoek  •  Arnold W.M. Smeulders  
Published in: CVPR (2017)

Abstract | PDF | BibTeX

Unified embedding and metric learning for zero-exemplar event detection

  Noureldien Hussein  •  Efstratios Gavves  •  Arnold W.M. Smeulders  
Published in: CVPR (2017)

Abstract | PDF | BibTeX

Sigma-delta quantized networks

  Peter O'Connor  •  Max Welling  
Published in: ICLR (2017)

Abstract | BibTeX

DP-EM: Differentially private expectation maximization

  Mijung Park  •  James Foulds  •  Kamalika Chaudhuri  •  Max Welling  
Published in: AISTATS (2017)

Abstract | PDF | BibTeX

2016

On the theory and practice of privacy-preserving Bayesian data analysis

  James Foulds  •  Joseph Geumlek  •  Max Welling  •  Kamalika Chaudhuri  
Published in: UAI (2016)

Abstract | PDF | BibTeX

Siamese instance search for tracking

  Ran Tao  •  Efstratios Gavves  •  Arnold W.M. Smeulders  
Published in: CVPR (2016)

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A note on privacy preserving iteratively reweighted least squares

  Mijung Park  •  Max Welling  
Published in: ICMLW (2016)

Abstract | PDF | BibTeX