Karol Gregor

8.8k citations

21 papers · 3.8k indexed · 4 hit papers · h-index 13

Computer Vision and Pattern Recognition top 0.5%
- Generative Adversarial Networks and Image Synthesis 5
Artificial Intelligence top 0.5%
- Reinforcement Learning in Robotics 4
- Domain Adaptation and Few-Shot Learning 3
- Gaussian Processes and Bayesian Inference 2
Signal Processing top 2%
- Blind Source Separation Techniques 2
Media Technology top 2%
Computational Mechanics top 2%
- Sparse and Compressive Sensing Techniques 2
Condensed Matter Physics
- Advanced Condensed Matter Physics 5
- Physics of Superconductivity and Magnetism 5

Co-authors: Iain Murray Hugo Larochelle Yann LeCun Daan Wierstra Ivo Danihelka Danilo Jimenez Rezende Alex Graves Y. Le Cun
Cited by: Computer Vision and Pattern Recognition Artificial Intelligence Signal Processing
Journals: Physical Review B (4 papers)Physical Review Letters (1 paper)arXiv (Cornell University) (4 papers)
Partner nations: United States United Kingdom Switzerland

In The Last Decade

Karol Gregor

20 papers receiving 3.7k citations

Hit Papers

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What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

2015 International Conference on Machine Learning
2015 Proceedings of The 32nd International Conference on Machine Learning
2010 Neural Information Processing Systems
2010 International Conference on Machine Learning

Peers

Countries citing papers authored by Karol Gregor

Since Specialization

Citations

This map shows the geographic impact of Karol Gregor's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Karol Gregor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karol Gregor more than expected).

Fields of papers citing papers by Karol Gregor

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Karol Gregor. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Karol Gregor. The network helps show where Karol Gregor may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Karol Gregor, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Karol Gregor Line = papers co-authored together Karol Gregor links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	Shaping Belief States with Generative Environment Models for RL Neural Information Processing Systems ·Karol Gregor,Danilo Jimenez Rezende,Frederic Besse,Yan Wu,Andrés Mateo Pérez,Aäron van den Oord	2019	7
2	Learning Dynamic State Abstractions for Model-Based Reinforcement Learning Lars Buesing,Théophane Weber,Sébastien Racanière,S. M. Ali Eslami,Danilo Jimenez Rezende,David Reichert,Fabio Viola,Frederic Besse,Karol Gregor,Demis Hassabis	2018	1
3	Learning Attractor Dynamics for Generative Memory arXiv (Cornell University) ·Yan Wu,Largu Ma,Karol Gregor,Timothy Lillicrap	2018	2
4	Variational Intrinsic Control International Conference on Learning Representations ·Karol Gregor,Danilo Jimenez Rezende,Daan Wierstra	2016	4
5	Towards Conceptual Compression Neural Information Processing Systems ·Karol Gregor,Frederic Besse,Danilo Jimenez Rezende,Ivo Danihelka,Daan Wierstra	2016	45
6	One-Shot Generalization in Deep Generative Models arXiv (Cornell University) ·Danilo Jimenez Rezende,Shakir Mohamed,Ivo Danihelka,Karol Gregor,Daan Wierstra	2016	32
7	DRAW: A Recurrent Neural Network For Image Generationbreakdown → International Conference on Machine Learning ·Karol Gregor,Ivo Danihelka,Alex Graves,Danilo Jimenez Rezende,Daan Wierstra	2015	478
8	Universal Value Function Approximators Tom Schaul,XU Weilang,Karol Gregor,David Silver	2015	203
9	Neural Variational Inference and Learning in Belief Networks arXiv (Cornell University) ·Andriy Mnih,Karol Gregor	2014	94
10	Deep AutoRegressive Networks arXiv (Cornell University) ·Karol Gregor,Ivo Danihelka,Andriy Mnih,Charles Blundell,Daan Wierstra	2013	54
11	A lattice filter model of the visual pathway Neural Information Processing Systems ·Karol Gregor,Dmitri B. Chklovskii	2012	1
12	Structured sparse coding via lateral inhibition Neural Information Processing Systems ·Arthur Szlam,Karol Gregor,Y. Le Cun	2011	32
13	Learning Convolutional Feature Hierarchies for Visual Recognitionbreakdown → Neural Information Processing Systems ·Koray Kavukcuoglu,Pierre Sermanet,Y-Lan Boureau,Karol Gregor,Michaël Mathieu,Y. Le Cun	2010	328
14	Learning Fast Approximations of Sparse Codingbreakdown → International Conference on Machine Learning ·Karol Gregor,Yann LeCun	2010	663
15	Nonmagnetic impurities in aS=12frustrated triangular antiferromagnet: Broadening ofC13NMR lines inκ−(ET)2Cu2(CN)3 Physical Review B ·Karol Gregor,Olexei I. Motrunich	2009	15
16	Nonmagnetic impurities in the spin-1∕2kagome antiferromagnet Physical Review B ·Karol Gregor,Olexei I. Motrunich	2008	20
17	Spin-solid phases of spin-1and spin-3∕2antiferromagnets on a cubic lattice Physical Review B ·Karol Gregor,Olexei I. Motrunich	2007	5
18	Aspects of Frustrated Magnetism and Topological Order PhDT ·Karol Gregor	2006	0
19	Spin-nematic order in the frustrated pyrochlore-lattice quantum rotor model Physical Review B ·Karol Gregor,David A. Huse,S. L. Sondhi	2006	3
20	Dipolar Spin Correlations in Classical Pyrochlore Magnets Physical Review Letters ·Sergei V. Isakov,Karol Gregor,Roderich Moessner,S. L. Sondhi	2004	210

About Karol Gregor

Karol Gregor is a scholar working on Condensed Matter Physics, Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Artificial Intelligence and Signal Processing, having authored 21 papers that have together received 3.8k indexed citations. Recurring topics across this work include Generative Adversarial Networks and Image Synthesis (5 papers), Advanced Condensed Matter Physics (5 papers), Physics of Superconductivity and Magnetism (5 papers), Reinforcement Learning in Robotics (4 papers), Domain Adaptation and Few-Shot Learning (3 papers), Sparse and Compressive Sensing Techniques (2 papers), Blind Source Separation Techniques (2 papers) and Gaussian Processes and Bayesian Inference (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.6k citations), Artificial Intelligence (1.5k citations), Signal Processing (313 citations), Media Technology (233 citations) and Computational Mechanics (447 citations). Karol Gregor has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Iain Murray, Hugo Larochelle, Yann LeCun, Daan Wierstra, Ivo Danihelka, Danilo Jimenez Rezende, Alex Graves, Y. Le Cun, Andriy Mnih and Pierre Sermanet. Their work appears in journals such as Physical Review B, Physical Review Letters, arXiv (Cornell University), International Conference on Learning Representations and Neural Information Processing Systems.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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