default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDThomas Kipf
Thomas N. Kipf
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[c28]Allan Jabri, Sjoerd van Steenkiste, Emiel Hoogeboom, Mehdi S. M. Sajjadi, Thomas Kipf:
DORSal: Diffusion for Object-centric Representations of Scenes et al. ICLR 2024- [c27]Maximilian Seitzer, Sjoerd van Steenkiste, Thomas Kipf, Klaus Greff, Mehdi S. M. Sajjadi:
DyST: Towards Dynamic Neural Scene Representations on Real-World Videos. ICLR 2024 - [c26]William F. Whitney, Tatiana Lopez-Guevara, Tobias Pfaff, Yulia Rubanova, Thomas Kipf, Kim Stachenfeld, Kelsey R. Allen:
Learning 3D Particle-based Simulators from RGB-D Videos. ICLR 2024 - [c25]Ziniu Hu, Ahmet Iscen, Aashi Jain, Thomas Kipf, Yisong Yue, David A. Ross, Cordelia Schmid, Alireza Fathi:
SceneCraft: An LLM Agent for Synthesizing 3D Scenes as Blender Code. ICML 2024 - [i42]Ziniu Hu, Ahmet Iscen, Aashi Jain, Thomas Kipf, Yisong Yue, David A. Ross, Cordelia Schmid, Alireza Fathi:
SceneCraft: An LLM Agent for Synthesizing 3D Scene as Blender Code. CoRR abs/2403.01248 (2024) - [i41]Ziyi Wu, Yulia Rubanova, Rishabh Kabra, Drew A. Hudson, Igor Gilitschenski, Yusuf Aytar, Sjoerd van Steenkiste, Kelsey R. Allen, Thomas Kipf:
Neural Assets: 3D-Aware Multi-Object Scene Synthesis with Image Diffusion Models. CoRR abs/2406.09292 (2024) - 2023
- [j2]Sadegh Mahdavi, Kevin Swersky, Thomas Kipf, Milad Hashemi, Christos Thrampoulidis, Renjie Liao:
Towards Better Out-of-Distribution Generalization of Neural Algorithmic Reasoning Tasks. Trans. Mach. Learn. Res. 2023 (2023) - [c24]Ondrej Biza, Skye Thompson, Kishore Reddy Pagidi, Abhinav Kumar, Elise van der Pol, Robin Walters, Thomas Kipf, Jan-Willem van de Meent, Lawson L. S. Wong, Robert Platt:
One-shot Imitation Learning via Interaction Warping. CoRL 2023: 2519-2536 - [c23]Mehdi S. M. Sajjadi, Aravindh Mahendran, Thomas Kipf, Etienne Pot, Daniel Duckworth, Mario Lucic, Klaus Greff:
RUST: Latent Neural Scene Representations from Unposed Imagery. CVPR 2023: 17297-17306 - [c22]Pradyumna Reddy, Scott Wisdom, Klaus Greff, John R. Hershey, Thomas Kipf:
Audioslots: A Slot-Centric Generative Model For Audio Separation. ICASSP Workshops 2023: 1-5 - [c21]Georg Heigold, Daniel Keysers, Matthias Minderer, Mario Lucic, Alexey A. Gritsenko
, Fisher Yu, Alex Bewley, Thomas Kipf:
Video OWL-ViT: Temporally-consistent open-world localization in video. ICCV 2023: 13756-13765 - [c20]Ziyi Wu, Nikita Dvornik, Klaus Greff, Thomas Kipf, Animesh Garg:
SlotFormer: Unsupervised Visual Dynamics Simulation with Object-Centric Models. ICLR 2023 - [c19]Ondrej Biza, Sjoerd van Steenkiste, Mehdi S. M. Sajjadi, Gamaleldin Fathy Elsayed, Aravindh Mahendran, Thomas Kipf:
Invariant Slot Attention: Object Discovery with Slot-Centric Reference Frames. ICML 2023: 2507-2527 - [c18]Mostafa Dehghani, Josip Djolonga, Basil Mustafa, Piotr Padlewski, Jonathan Heek, Justin Gilmer, Andreas Peter Steiner, Mathilde Caron, Robert Geirhos, Ibrahim Alabdulmohsin, Rodolphe Jenatton, Lucas Beyer, Michael Tschannen, Anurag Arnab, Xiao Wang, Carlos Riquelme Ruiz, Matthias Minderer, Joan Puigcerver, Utku Evci, Manoj Kumar, Sjoerd van Steenkiste, Gamaleldin Fathy Elsayed, Aravindh Mahendran, Fisher Yu, Avital Oliver, Fantine Huot, Jasmijn Bastings, Mark Collier, Alexey A. Gritsenko, Vighnesh Birodkar, Cristina Nader Vasconcelos, Yi Tay, Thomas Mensink, Alexander Kolesnikov, Filip Pavetic, Dustin Tran, Thomas Kipf, Mario Lucic, Xiaohua Zhai, Daniel Keysers, Jeremiah J. Harmsen, Neil Houlsby:
Scaling Vision Transformers to 22 Billion Parameters. ICML 2023: 7480-7512 - [c17]Mihir Prabhudesai, Anirudh Goyal, Sujoy Paul, Sjoerd van Steenkiste, Mehdi S. M. Sajjadi, Gaurav Aggarwal, Thomas Kipf, Deepak Pathak, Katerina Fragkiadaki:
Test-time Adaptation with Slot-Centric Models. ICML 2023: 28151-28166 - [i40]Ondrej Biza, Sjoerd van Steenkiste, Mehdi S. M. Sajjadi, Gamaleldin F. Elsayed, Aravindh Mahendran, Thomas Kipf:
Invariant Slot Attention: Object Discovery with Slot-Centric Reference Frames. CoRR abs/2302.04973 (2023) - [i39]Mostafa Dehghani, Josip Djolonga, Basil Mustafa, Piotr Padlewski, Jonathan Heek, Justin Gilmer, Andreas Steiner, Mathilde Caron, Robert Geirhos, Ibrahim Alabdulmohsin, Rodolphe Jenatton, Lucas Beyer, Michael Tschannen, Anurag Arnab, Xiao Wang, Carlos Riquelme, Matthias Minderer, Joan Puigcerver, Utku Evci, Manoj Kumar, Sjoerd van Steenkiste, Gamaleldin F. Elsayed, Aravindh Mahendran, Fisher Yu, Avital Oliver, Fantine Huot, Jasmijn Bastings, Mark Patrick Collier, Alexey A. Gritsenko, Vighnesh Birodkar, Cristina Nader Vasconcelos, Yi Tay, Thomas Mensink, Alexander Kolesnikov, Filip Pavetic, Dustin Tran, Thomas Kipf, Mario Lucic, Xiaohua Zhai, Daniel Keysers, Jeremiah Harmsen, Neil Houlsby:
Scaling Vision Transformers to 22 Billion Parameters. CoRR abs/2302.05442 (2023) - [i38]Pradyumna Reddy, Scott Wisdom, Klaus Greff, John R. Hershey, Thomas Kipf:
AudioSlots: A slot-centric generative model for audio separation. CoRR abs/2305.05591 (2023) - [i37]Roland S. Zimmermann, Sjoerd van Steenkiste, Mehdi S. M. Sajjadi, Thomas Kipf, Klaus Greff:
Sensitivity of Slot-Based Object-Centric Models to their Number of Slots. CoRR abs/2305.18890 (2023) - [i36]Allan Jabri, Sjoerd van Steenkiste, Emiel Hoogeboom, Mehdi S. M. Sajjadi, Thomas Kipf:
DORSal: Diffusion for Object-centric Representations of Scenes et al.. CoRR abs/2306.08068 (2023) - [i35]Ondrej Biza, Skye Thompson, Kishore Reddy Pagidi, Abhinav Kumar, Elise van der Pol, Robin Walters, Thomas Kipf, Jan-Willem van de Meent, Lawson L. S. Wong, Robert Platt:
One-shot Imitation Learning via Interaction Warping. CoRR abs/2306.12392 (2023) - [i34]Georg Heigold, Matthias Minderer, Alexey A. Gritsenko, Alex Bewley, Daniel Keysers, Mario Lucic, Fisher Yu, Thomas Kipf:
Video OWL-ViT: Temporally-consistent open-world localization in video. CoRR abs/2308.11093 (2023) - [i33]Maximilian Seitzer, Sjoerd van Steenkiste, Thomas Kipf, Klaus Greff, Mehdi S. M. Sajjadi:
DyST: Towards Dynamic Neural Scene Representations on Real-World Videos. CoRR abs/2310.06020 (2023) - [i32]William F. Whitney, Tatiana Lopez-Guevara, Tobias Pfaff, Yulia Rubanova, Thomas Kipf, Kimberly L. Stachenfeld, Kelsey R. Allen:
Learning 3D Particle-based Simulators from RGB-D Videos. CoRR abs/2312.05359 (2023) - 2022
- [c16]Klaus Greff, Francois Belletti, Lucas Beyer, Carl Doersch, Yilun Du, Daniel Duckworth, David J. Fleet, Dan Gnanapragasam, Florian Golemo, Charles Herrmann, Thomas Kipf, Abhijit Kundu, Dmitry Lagun, Issam H. Laradji, Hsueh-Ti Derek Liu, Henning Meyer, Yishu Miao, Derek Nowrouzezahrai, A. Cengiz Öztireli, Etienne Pot, Noha Radwan, Daniel Rebain, Sara Sabour, Mehdi S. M. Sajjadi, Matan Sela, Vincent Sitzmann, Austin Stone, Deqing Sun, Suhani Vora, Ziyu Wang, Tianhao Wu, Kwang Moo Yi, Fangcheng Zhong, Andrea Tagliasacchi:
Kubric: A scalable dataset generator. CVPR 2022: 3739-3751 - [c15]Matthias Minderer, Alexey A. Gritsenko, Austin Stone, Maxim Neumann, Dirk Weissenborn, Alexey Dosovitskiy, Aravindh Mahendran, Anurag Arnab, Mostafa Dehghani, Zhuoran Shen, Xiao Wang, Xiaohua Zhai, Thomas Kipf, Neil Houlsby:
Simple Open-Vocabulary Object Detection. ECCV (10) 2022: 728-755 - [c14]Thomas Kipf, Gamaleldin Fathy Elsayed, Aravindh Mahendran, Austin Stone, Sara Sabour, Georg Heigold, Rico Jonschkowski, Alexey Dosovitskiy, Klaus Greff:
Conditional Object-Centric Learning from Video. ICLR 2022 - [c13]Petar Velickovic, Matko Bosnjak, Thomas Kipf, Alexander Lerchner, Raia Hadsell, Razvan Pascanu, Charles Blundell:
Reasoning-Modulated Representations. LoG 2022: 50 - [c12]Gamaleldin F. Elsayed, Aravindh Mahendran, Sjoerd van Steenkiste, Klaus Greff, Michael C. Mozer, Thomas Kipf:
SAVi++: Towards End-to-End Object-Centric Learning from Real-World Videos. NeurIPS 2022 - [c11]Mehdi S. M. Sajjadi, Daniel Duckworth, Aravindh Mahendran, Sjoerd van Steenkiste, Filip Pavetic, Mario Lucic, Leonidas J. Guibas, Klaus Greff, Thomas Kipf:
Object Scene Representation Transformer. NeurIPS 2022 - [i31]Ondrej Biza, Thomas Kipf, David Klee, Robert Platt Jr., Jan-Willem van de Meent, Lawson L. S. Wong:
Factored World Models for Zero-Shot Generalization in Robotic Manipulation. CoRR abs/2202.05333 (2022) - [i30]Klaus Greff, Francois Belletti, Lucas Beyer, Carl Doersch, Yilun Du, Daniel Duckworth, David J. Fleet, Dan Gnanapragasam, Florian Golemo, Charles Herrmann, Thomas Kipf, Abhijit Kundu, Dmitry Lagun, Issam H. Laradji, Hsueh-Ti Derek Liu, Henning Meyer, Yishu Miao, Derek Nowrouzezahrai, Cengiz Öztireli, Etienne Pot, Noha Radwan, Daniel Rebain, Sara Sabour, Mehdi S. M. Sajjadi, Matan Sela, Vincent Sitzmann, Austin Stone, Deqing Sun, Suhani Vora, Ziyu Wang, Tianhao Wu, Kwang Moo Yi, Fangcheng Zhong, Andrea Tagliasacchi:
Kubric: A scalable dataset generator. CoRR abs/2203.03570 (2022) - [i29]Alexander Bogatskiy, Sanmay Ganguly, Thomas Kipf, Risi Kondor, David W. Miller, Daniel Murnane, Jan T. Offermann, Mariel Pettee, Phiala E. Shanahan, Chase Shimmin, Savannah Thais:
Symmetry Group Equivariant Architectures for Physics. CoRR abs/2203.06153 (2022) - [i28]Ondrej Biza, Robert Platt, Jan-Willem van de Meent, Lawson L. S. Wong, Thomas Kipf:
Binding Actions to Objects in World Models. CoRR abs/2204.13022 (2022) - [i27]Matthias Minderer, Alexey A. Gritsenko, Austin Stone, Maxim Neumann, Dirk Weissenborn, Alexey Dosovitskiy, Aravindh Mahendran, Anurag Arnab, Mostafa Dehghani, Zhuoran Shen, Xiao Wang, Xiaohua Zhai, Thomas Kipf, Neil Houlsby:
Simple Open-Vocabulary Object Detection with Vision Transformers. CoRR abs/2205.06230 (2022) - [i26]Mehdi S. M. Sajjadi, Daniel Duckworth, Aravindh Mahendran, Sjoerd van Steenkiste, Filip Pavetic, Mario Lucic, Leonidas J. Guibas, Klaus Greff, Thomas Kipf:
Object Scene Representation Transformer. CoRR abs/2206.06922 (2022) - [i25]Gamaleldin F. Elsayed, Aravindh Mahendran, Sjoerd van Steenkiste, Klaus Greff, Michael C. Mozer, Thomas Kipf:
SAVi++: Towards End-to-End Object-Centric Learning from Real-World Videos. CoRR abs/2206.07764 (2022) - [i24]Ziyi Wu, Nikita Dvornik, Klaus Greff, Thomas Kipf, Animesh Garg:
SlotFormer: Unsupervised Visual Dynamics Simulation with Object-Centric Models. CoRR abs/2210.05861 (2022) - [i23]Sadegh Mahdavi, Kevin Swersky, Thomas Kipf, Milad Hashemi, Christos Thrampoulidis, Renjie Liao:
Towards Better Out-of-Distribution Generalization of Neural Algorithmic Reasoning Tasks. CoRR abs/2211.00692 (2022) - [i22]Mehdi S. M. Sajjadi, Aravindh Mahendran, Thomas Kipf, Etienne Pot, Daniel Duckworth, Mario Lucic, Klaus Greff:
RUST: Latent Neural Scene Representations from Unposed Imagery. CoRR abs/2211.14306 (2022) - 2021
- [i21]Petar Velickovic, Matko Bosnjak, Thomas Kipf, Alexander Lerchner, Raia Hadsell, Razvan Pascanu, Charles Blundell:
Reasoning-Modulated Representations. CoRR abs/2107.08881 (2021) - [i20]Ondrej Biza, Elise van der Pol, Thomas Kipf:
The Impact of Negative Sampling on Contrastive Structured World Models. CoRR abs/2107.11676 (2021) - [i19]Thomas Kipf, Gamaleldin F. Elsayed, Aravindh Mahendran, Austin Stone, Sara Sabour, Georg Heigold, Rico Jonschkowski, Alexey Dosovitskiy, Klaus Greff:
Conditional Object-Centric Learning from Video. CoRR abs/2111.12594 (2021) - 2020
- [j1]Raghavendra Selvan, Thomas Kipf, Max Welling, Antonio Garcia-Uceda Juarez, Jesper Holst Pedersen, Jens Petersen, Marleen de Bruijne:
Graph refinement based airway extraction using mean-field networks and graph neural networks. Medical Image Anal. 64: 101751 (2020) - [c10]Elise van der Pol, Thomas Kipf, Frans A. Oliehoek, Max Welling:
Plannable Approximations to MDP Homomorphisms: Equivariance under Actions. AAMAS 2020: 1431-1439 - [c9]Thomas N. Kipf, Elise van der Pol, Max Welling:
Contrastive Learning of Structured World Models. ICLR 2020 - [c8]Francesco Locatello, Dirk Weissenborn, Thomas Unterthiner, Aravindh Mahendran, Georg Heigold, Jakob Uszkoreit, Alexey Dosovitskiy, Thomas Kipf:
Object-Centric Learning with Slot Attention. NeurIPS 2020 - [i18]Elise van der Pol, Thomas N. Kipf, Frans A. Oliehoek, Max Welling:
Plannable Approximations to MDP Homomorphisms: Equivariance under Actions. CoRR abs/2002.11963 (2020) - [i17]Francesco Locatello, Dirk Weissenborn, Thomas Unterthiner, Aravindh Mahendran, Georg Heigold, Jakob Uszkoreit, Alexey Dosovitskiy, Thomas Kipf:
Object-Centric Learning with Slot Attention. CoRR abs/2006.15055 (2020) - [i16]Sindy Löwe, Klaus Greff, Rico Jonschkowski, Alexey Dosovitskiy, Thomas Kipf:
Learning Object-Centric Video Models by Contrasting Sets. CoRR abs/2011.10287 (2020)
2010 – 2019
- 2019
- [c7]Andreas Kipf, Thomas Kipf, Bernhard Radke, Viktor Leis, Peter A. Boncz, Alfons Kemper:
Learned Cardinalities: Estimating Correlated Joins with Deep Learning. CIDR 2019 - [c6]Thomas Kipf, Yujia Li, Hanjun Dai, Vinícius Flores Zambaldi, Alvaro Sanchez-Gonzalez, Edward Grefenstette, Pushmeet Kohli, Peter W. Battaglia:
CompILE: Compositional Imitation Learning and Execution. ICML 2019: 3418-3428 - [c5]Andreas Kipf, Dimitri Vorona, Jonas Müller, Thomas Kipf, Bernhard Radke, Viktor Leis, Peter A. Boncz, Thomas Neumann, Alfons Kemper:
Estimating Cardinalities with Deep Sketches. SIGMOD Conference 2019: 1937-1940 - [i15]Andreas Kipf, Dimitri Vorona, Jonas Müller, Thomas Kipf, Bernhard Radke, Viktor Leis, Peter A. Boncz, Thomas Neumann, Alfons Kemper:
Estimating Cardinalities with Deep Sketches. CoRR abs/1904.08223 (2019) - [i14]Davide Belli, Thomas Kipf:
Image-Conditioned Graph Generation for Road Network Extraction. CoRR abs/1910.14388 (2019) - [i13]Thomas N. Kipf, Elise van der Pol, Max Welling:
Contrastive Learning of Structured World Models. CoRR abs/1911.12247 (2019) - 2018
- [c4]Michael Sejr Schlichtkrull, Thomas N. Kipf, Peter Bloem, Rianne van den Berg, Ivan Titov, Max Welling:
Modeling Relational Data with Graph Convolutional Networks. ESWC 2018: 593-607 - [c3]Thomas N. Kipf, Ethan Fetaya, Kuan-Chieh Wang, Max Welling, Richard S. Zemel:
Neural Relational Inference for Interacting Systems. ICML 2018: 2693-2702 - [c2]Tim R. Davidson, Luca Falorsi, Nicola De Cao, Thomas Kipf, Jakub M. Tomczak:
Hyperspherical Variational Auto-Encoders. UAI 2018: 856-865 - [i12]Thomas N. Kipf, Ethan Fetaya, Kuan-Chieh Wang, Max Welling, Richard S. Zemel:
Neural Relational Inference for Interacting Systems. CoRR abs/1802.04687 (2018) - [i11]Tim R. Davidson, Luca Falorsi, Nicola De Cao, Thomas Kipf, Jakub M. Tomczak:
Hyperspherical Variational Auto-Encoders. CoRR abs/1804.00891 (2018) - [i10]Raghavendra Selvan, Thomas N. Kipf, Max Welling, Jesper Holst Pedersen, Jens Petersen, Marleen de Bruijne:
Extraction of Airways using Graph Neural Networks. CoRR abs/1804.04436 (2018) - [i9]Nicola De Cao, Thomas Kipf:
MolGAN: An implicit generative model for small molecular graphs. CoRR abs/1805.11973 (2018) - [i8]Andreas Kipf, Thomas Kipf, Bernhard Radke, Viktor Leis, Peter A. Boncz, Alfons Kemper:
Learned Cardinalities: Estimating Correlated Joins with Deep Learning. CoRR abs/1809.00677 (2018) - [i7]Catalina Cangea, Petar Velickovic, Nikola Jovanovic, Thomas Kipf, Pietro Liò:
Towards Sparse Hierarchical Graph Classifiers. CoRR abs/1811.01287 (2018) - [i6]Raghavendra Selvan, Thomas N. Kipf, Max Welling, Jesper Holst Pedersen, Jens Petersen, Marleen de Bruijne:
Graph Refinement based Tree Extraction using Mean-Field Networks and Graph Neural Networks. CoRR abs/1811.08674 (2018) - [i5]Thomas Kipf, Yujia Li, Hanjun Dai, Vinícius Flores Zambaldi, Edward Grefenstette, Pushmeet Kohli, Peter W. Battaglia:
Compositional Imitation Learning: Explaining and executing one task at a time. CoRR abs/1812.01483 (2018) - 2017
- [c1]Thomas N. Kipf, Max Welling:
Semi-Supervised Classification with Graph Convolutional Networks. ICLR (Poster) 2017 - [i4]Michael Sejr Schlichtkrull, Thomas N. Kipf, Peter Bloem, Rianne van den Berg, Ivan Titov, Max Welling:
Modeling Relational Data with Graph Convolutional Networks. CoRR abs/1703.06103 (2017) - [i3]Rianne van den Berg, Thomas N. Kipf, Max Welling:
Graph Convolutional Matrix Completion. CoRR abs/1706.02263 (2017) - 2016
- [i2]Thomas N. Kipf, Max Welling:
Semi-Supervised Classification with Graph Convolutional Networks. CoRR abs/1609.02907 (2016) - [i1]Thomas N. Kipf, Max Welling:
Variational Graph Auto-Encoders. CoRR abs/1611.07308 (2016)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-12-01 01:12 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
