Scale Equivariance Improves Siamese Tracking – Ivan Sosnovik Artem Moskalev, Arnold Smeulders – Winter Conference on Applications of Computer Vision (WACV), 2021
BibTeX
@inproceedings{Sosnovik2021,
title = {Scale Equivariance Improves Siamese Tracking},
author = {Ivan Sosnovik, Artem Moskalev, Arnold Smeulders},
year = {2021},
date = {2021-01-05},
booktitle = {Winter Conference on Applications of Computer Vision (WACV)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows – Didrik Nielsen Priyank Jaini, Emiel Hoogeboom Ole Winther Max Welling – Neural Information Processing Systems (NeurIPS), 2020
BibTeX
@inproceedings{Nielsen2020,
title = {SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows},
author = {Didrik Nielsen, Priyank Jaini, Emiel Hoogeboom, Ole Winther, Max Welling},
year = {2020},
date = {2020-12-03},
booktitle = {Neural Information Processing Systems (NeurIPS)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
MDP Homomorphic Networks: Group Symmetries in Reinforcement Learning – van Elise van der Pol Daniel Worrall, Herke Hoof Frans Oliehoek Max Welling – Neural Information Processing Systems (NeurIPS), 2020
BibTeX
@inproceedings{vanderPol2020b,
title = {MDP Homomorphic Networks: Group Symmetries in Reinforcement Learning},
author = {Elise van der Pol, Daniel Worrall, Herke van Hoof, Frans Oliehoek, Max Welling},
year = {2020},
date = {2020-12-02},
booktitle = {Neural Information Processing Systems (NeurIPS)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
The Convolution Exponential and Generalized Sylvester Flows – Emiel Hoogeboom Victor Garcia Satorras, Jakub Tomczak Max Welling – Neural Information Processing Systems (NeurIPS), 2020
BibTeX
@inproceedings{Hoogeboom2020,
title = {The Convolution Exponential and Generalized Sylvester Flows},
author = {Emiel Hoogeboom, Victor Garcia Satorras, Jakub Tomczak, Max Welling},
year = {2020},
date = {2020-12-01},
booktitle = {Neural Information Processing Systems (NeurIPS)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Scale-Equivariant Steerable Networks – Sosnovik, Ivan; Szmaja, Michał; Smeulders, Arnold – International Conference on Learning Representations (ICLR), 2020
BibTeX
@inproceedings{Sosnovik2020,
title = {Scale-Equivariant Steerable Networks},
author = {Ivan Sosnovik and Michał Szmaja and Arnold Smeulders},
year = {2020},
date = {2020-03-03},
booktitle = {International Conference on Learning Representations (ICLR)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Explaining with Counter Visual Attributes and Examples. – Gulshad, Sadaf; Smeulders, Arnold – ACM International conference on Multimedia Retrieval (ICMR), 2020
BibTeX
@article{Gulshad2020,
title = {Explaining with Counter Visual Attributes and Examples. },
author = {Sadaf Gulshad and Arnold Smeulders},
year = {2020},
date = {2020-02-02},
journal = {ACM International conference on Multimedia Retrieval (ICMR)},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Plannable Approximations to MDP Homomorphisms: Equivariance under Actions – van der Pol, Elise; Kipf, Thomas; Oliehoek, Frans; Welling, Max – International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), 2020
BibTeX
@inproceedings{vanderPol2020,
title = {Plannable Approximations to MDP Homomorphisms: Equivariance under Actions},
author = {Elise van der Pol and Thomas Kipf and Frans A. Oliehoek and Max Welling},
year = {2020},
date = {2020-01-01},
booktitle = {International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Contrastive Learning of Structured World Models – Kipf, Thomas; van der Pol, Elise; Welling, Max – International Conference on Learning Representations (ICLR), 2020
BibTeX
@inproceedings{Kipf2020,
title = {Contrastive Learning of Structured World Models},
author = {Thomas Kipf and Elise van der Pol and Max Welling},
year = {2020},
date = {2020-01-01},
booktitle = {International Conference on Learning Representations (ICLR)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
A Performance-Based Start State Curriculum Framework for Reinforcement Learning – Wöhlke, Jan; Schmitt, Felix; van Hoof, Herke – International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), 2020
BibTeX
@inproceedings{Wöhlke2020,
title = {A Performance-Based Start State Curriculum Framework for Reinforcement Learning},
author = {Jan Wöhlke and Felix Schmitt and Herke van Hoof},
year = {2020},
date = {2020-01-01},
booktitle = {International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Combining Generative and Discriminative Models for Hybrid Inference – Garcia, Victor; Akata, Zeynep; Welling, Max – Neural Information Processing Systems (NeurIPS), 2019
BibTeX
@inproceedings{Garcia2019,
title = {Combining Generative and Discriminative Models for Hybrid Inference},
author = {Victor Garcia and Zeynep Akata and Max Welling},
year = {2019},
date = {2019-12-09},
booktitle = {Neural Information Processing Systems (NeurIPS)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Hyperspherical Prototype Networks – Mettes, Pascal; van der Pol, Elise; Snoek, Cees – Neural Information Processing Systems (NeurIPS), 2019
BibTeX
@inproceedings{Mettes2019,
title = {Hyperspherical Prototype Networks},
author = {Pascal Mettes and Elise van der Pol and Cees Snoek},
year = {2019},
date = {2019-12-09},
booktitle = {Neural Information Processing Systems (NeurIPS)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Integer Discrete Flows and Lossless Compression – Hoogeboom, Emiel; Peters, Jorn; van den Berg, Rianne; Welling, Max – Neural Information Processing Systems (NeurIPS), 2019
BibTeX
@inproceedings{Hoogeboom2019b,
title = {Integer Discrete Flows and Lossless Compression},
author = {Emiel Hoogeboom and Jorn W. T. Peters and Rianne van den Berg and Max Welling},
year = {2019},
date = {2019-12-08},
booktitle = {Neural Information Processing Systems (NeurIPS)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Sinkhorn AutoEncoders – Patrini, Giorgio; van den Berg, Rianne; Forré, Patrick; Carioni, Marcello; Bhargav, Samarth; Welling, Max; Genewein, Tim; Nielsen, Frank – Uncertainty in Artificial Intelligence (UAI), 2019
BibTeX
@inproceedings{Patrini2019,
title = {Sinkhorn AutoEncoders},
author = {Giorgio Patrini and Rianne van den Berg and Patrick Forré and Marcello Carioni and Samarth Bhargav and Max Welling and Tim Genewein and Frank Nielsen},
year = {2019},
date = {2019-07-22},
booktitle = {Uncertainty in Artificial Intelligence (UAI)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Emerging Convolutions for Generative Normalizing Flows – Hoogeboom, Emiel; van den Berg, Rianne; Welling, Max – International Conference on Machine Learning (ICML), 2019
BibTeX
@inproceedings{Hoogeboom2019,
title = {Emerging Convolutions for Generative Normalizing Flows},
author = {Emiel Hoogeboom and Rianne van den Berg and Max Welling},
year = {2019},
date = {2019-06-09},
booktitle = {International Conference on Machine Learning (ICML)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Semi-Conditional Normalizing Flows for Semi-Supervised Learning – Atanov, Andrei; Volokhova, Alexandra; Ashukha, Arsenii; Sosnovik, Ivan; Vetrov, Dmitry – ICML 19 Workshop on Invertible Neural Nets and Normalizing Flows, 2019
BibTeX
@inproceedings{Atanov2019,
title = {Semi-Conditional Normalizing Flows for Semi-Supervised Learning},
author = {Andrei Atanov and Alexandra Volokhova and Arsenii Ashukha and Ivan Sosnovik and Dmitry Vetrov},
year = {2019},
date = {2019-06-09},
booktitle = {ICML 19 Workshop on Invertible Neural Nets and Normalizing Flows},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Few-Shot Learning with Graph Neural Networks – Garcia, Victor; Bruna, Joan – International Conference of Learning Representations (ICLR), 2018
BibTeX
@inproceedings{garcia2017few,
title = {Few-Shot Learning with Graph Neural Networks},
author = {Victor Garcia and Joan Bruna},
year = {2018},
date = {2018-02-09},
booktitle = {International Conference of Learning Representations (ICLR)},
journal = {arXiv preprint arXiv:1711.04043},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Channel-Recurrent Autoencoding for Image Modeling – Wenling Shang Kihyuk Sohn, Yuandong Tian – Winter Conference of Applications of Computer Vision (WACV), 2018
BibTeX
@inproceedings{Shang2018,
title = {Channel-Recurrent Autoencoding for Image Modeling},
author = {Wenling Shang, Kihyuk Sohn, Yuandong Tian},
url = {https://github.com/WendyShang/crVAE
http://www-personal.umich.edu/~shangw/wacv18_main.pdf
http://www-personal.umich.edu/~shangw/wacv18_supplementary_material.pdf},
year = {2018},
date = {2018-02-09},
booktitle = {Winter Conference of Applications of Computer Vision (WACV)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
