Thomas Kipf

According to our database, Thomas Kipf authored at least 46 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

SceneCraft: An LLM Agent for Synthesizing 3D Scene as Blender Code.

Ziniu Hu, Ahmet Iscen, Aashi Jain, Thomas Kipf, Yisong Yue, David A. Ross, Cordelia Schmid, Alireza Fathi

CoRR, 2024

2023

Towards Better Out-of-Distribution Generalization of Neural Algorithmic Reasoning Tasks.

Sadegh Mahdavi, Kevin Swersky, Thomas Kipf, Milad Hashemi, Christos Thrampoulidis, Renjie Liao

Trans. Mach. Learn. Res., 2023

Learning 3D Particle-based Simulators from RGB-D Videos.

William F. Whitney, Tatiana Lopez-Guevara, Tobias Pfaff, Yulia Rubanova, Thomas Kipf, Kimberly L. Stachenfeld, Kelsey R. Allen

CoRR, 2023

DyST: Towards Dynamic Neural Scene Representations on Real-World Videos.

Maximilian Seitzer, Sjoerd van Steenkiste, Thomas Kipf, Klaus Greff, Mehdi S. M. Sajjadi

CoRR, 2023

DORSal: Diffusion for Object-centric Representations of Scenes et al..

Allan Jabri, Sjoerd van Steenkiste, Emiel Hoogeboom, Mehdi S. M. Sajjadi, Thomas Kipf

CoRR, 2023

Sensitivity of Slot-Based Object-Centric Models to their Number of Slots.

Roland S. Zimmermann, Sjoerd van Steenkiste, Mehdi S. M. Sajjadi, Thomas Kipf, Klaus Greff

CoRR, 2023

Scaling Vision Transformers to 22 Billion Parameters.

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 N. Vasconcelos, Yi Tay, Thomas Mensink, Alexander Kolesnikov, Filip Pavetic, Dustin Tran, Thomas Kipf, Mario Lucic, Xiaohua Zhai, Daniel Keysers, Jeremiah Harmsen, Neil Houlsby

CoRR, 2023

Test-time Adaptation with Slot-Centric Models.

Mihir Prabhudesai, Anirudh Goyal, Sujoy Paul, Sjoerd van Steenkiste, Mehdi S. M. Sajjadi, Gaurav Aggarwal, Thomas Kipf, Deepak Pathak, Katerina Fragkiadaki

Proceedings of the International Conference on Machine Learning, 2023

Invariant Slot Attention: Object Discovery with Slot-Centric Reference Frames.

Ondrej Biza, Sjoerd van Steenkiste, Mehdi S. M. Sajjadi, Gamaleldin Fathy Elsayed, Aravindh Mahendran, Thomas Kipf

Proceedings of the International Conference on Machine Learning, 2023

Scaling Vision Transformers to 22 Billion Parameters.

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

Proceedings of the International Conference on Machine Learning, 2023

SlotFormer: Unsupervised Visual Dynamics Simulation with Object-Centric Models.

Ziyi Wu, Nikita Dvornik, Klaus Greff, Thomas Kipf, Animesh Garg

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Video OWL-ViT: Temporally-consistent open-world localization in video.

Georg Heigold, Daniel Keysers, Matthias Minderer, Mario Lucic, Alexey A. Gritsenko, Fisher Yu, Alex Bewley, Thomas Kipf

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Audioslots: A Slot-Centric Generative Model For Audio Separation.

Pradyumna Reddy, Scott Wisdom, Klaus Greff, John R. Hershey, Thomas Kipf

Proceedings of the IEEE International Conference on Acoustics, 2023

RUST: Latent Neural Scene Representations from Unposed Imagery.

Mehdi S. M. Sajjadi, Aravindh Mahendran, Thomas Kipf, Etienne Pot, Daniel Duckworth, Mario Lucic, Klaus Greff

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

One-shot Imitation Learning via Interaction Warping.

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

Proceedings of the Conference on Robot Learning, 2023

2022

Simple Open-Vocabulary Object Detection with Vision Transformers.

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

CoRR, 2022

Binding Actions to Objects in World Models.

Ondrej Biza, Robert Platt, Jan-Willem van de Meent, Lawson L. S. Wong, Thomas Kipf

CoRR, 2022

Symmetry Group Equivariant Architectures for Physics.

Alexander Bogatskiy, Sanmay Ganguly, Thomas Kipf, Risi Kondor, David W. Miller, Daniel Murnane, Jan T. Offermann, Mariel Pettee, Phiala Shanahan, Chase Shimmin, Savannah Thais

CoRR, 2022

Factored World Models for Zero-Shot Generalization in Robotic Manipulation.

Ondrej Biza, Thomas Kipf, David Klee, Robert Platt Jr., Jan-Willem van de Meent, Lawson L. S. Wong

CoRR, 2022

Object Scene Representation Transformer.

Mehdi S. M. Sajjadi, Daniel Duckworth, Aravindh Mahendran, Sjoerd van Steenkiste, Filip Pavetic, Mario Lucic, Leonidas J. Guibas, Klaus Greff, Thomas Kipf

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

SAVi++: Towards End-to-End Object-Centric Learning from Real-World Videos.

Gamaleldin F. Elsayed, Aravindh Mahendran, Sjoerd van Steenkiste, Klaus Greff, Michael C. Mozer, Thomas Kipf

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Reasoning-Modulated Representations.

Petar Velickovic, Matko Bosnjak, Thomas Kipf, Alexander Lerchner, Raia Hadsell, Razvan Pascanu, Charles Blundell

Proceedings of the Learning on Graphs Conference, 2022

Conditional Object-Centric Learning from Video.

Thomas Kipf, Gamaleldin Fathy Elsayed, Aravindh Mahendran, Austin Stone, Sara Sabour, Georg Heigold, Rico Jonschkowski, Alexey Dosovitskiy, Klaus Greff

Proceedings of the Tenth International Conference on Learning Representations, 2022

Simple Open-Vocabulary Object Detection.

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

Proceedings of the Computer Vision - ECCV 2022, 2022

Kubric: A scalable dataset generator.

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

The Impact of Negative Sampling on Contrastive Structured World Models.

Ondrej Biza, Elise van der Pol, Thomas Kipf

CoRR, 2021

2020

Graph refinement based airway extraction using mean-field networks and graph neural networks.

Raghavendra Selvan, Thomas Kipf, Max Welling, Antonio Garcia-Uceda Juarez, Jesper Holst Pedersen, Jens Petersen, Marleen de Bruijne

Medical Image Anal., 2020

Learning Object-Centric Video Models by Contrasting Sets.

Sindy Löwe, Klaus Greff, Rico Jonschkowski, Alexey Dosovitskiy, Thomas Kipf

CoRR, 2020

Object-Centric Learning with Slot Attention.

Francesco Locatello, Dirk Weissenborn, Thomas Unterthiner, Aravindh Mahendran, Georg Heigold, Jakob Uszkoreit, Alexey Dosovitskiy, Thomas Kipf

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Contrastive Learning of Structured World Models.

Thomas N. Kipf, Elise van der Pol, Max Welling

Proceedings of the 8th International Conference on Learning Representations, 2020

Plannable Approximations to MDP Homomorphisms: Equivariance under Actions.

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

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

2019

Image-Conditioned Graph Generation for Road Network Extraction.

Davide Belli, Thomas Kipf

CoRR, 2019

Estimating Cardinalities with Deep Sketches.

Andreas Kipf, Dimitri Vorona, Jonas Müller, Thomas Kipf, Bernhard Radke, Viktor Leis, Peter A. Boncz, Thomas Neumann, Alfons Kemper

Proceedings of the 2019 International Conference on Management of Data, 2019

CompILE: Compositional Imitation Learning and Execution.

Thomas Kipf, Yujia Li, Hanjun Dai, Vinícius Flores Zambaldi, Alvaro Sanchez-Gonzalez, Edward Grefenstette, Pushmeet Kohli, Peter W. Battaglia

Proceedings of the 36th International Conference on Machine Learning, 2019

Learned Cardinalities: Estimating Correlated Joins with Deep Learning.

Andreas Kipf, Thomas Kipf, Bernhard Radke, Viktor Leis, Peter A. Boncz, Alfons Kemper

Proceedings of the 9th Biennial Conference on Innovative Data Systems Research, 2019

2018

Compositional Imitation Learning: Explaining and executing one task at a time.

Thomas Kipf, Yujia Li, Hanjun Dai, Vinícius Flores Zambaldi, Edward Grefenstette, Pushmeet Kohli, Peter W. Battaglia

CoRR, 2018

Graph Refinement based Tree Extraction using Mean-Field Networks and Graph Neural Networks.

Raghavendra Selvan, Thomas N. Kipf, Max Welling, Jesper Holst Pedersen, Jens Petersen, Marleen de Bruijne

CoRR, 2018

Towards Sparse Hierarchical Graph Classifiers.

Catalina Cangea, Petar Velickovic, Nikola Jovanovic, Thomas Kipf, Pietro Liò

CoRR, 2018

MolGAN: An implicit generative model for small molecular graphs.

Nicola De Cao, Thomas Kipf

CoRR, 2018

Extraction of Airways using Graph Neural Networks.

Raghavendra Selvan, Thomas N. Kipf, Max Welling, Jesper Holst Pedersen, Jens Petersen, Marleen de Bruijne

CoRR, 2018

Hyperspherical Variational Auto-Encoders.

Tim R. Davidson, Luca Falorsi, Nicola De Cao, Thomas Kipf, Jakub M. Tomczak

Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

Neural Relational Inference for Interacting Systems.

Thomas N. Kipf, Ethan Fetaya, Kuan-Chieh Wang, Max Welling, Richard S. Zemel

Proceedings of the 35th International Conference on Machine Learning, 2018

Modeling Relational Data with Graph Convolutional Networks.

Michael Sejr Schlichtkrull, Thomas N. Kipf, Peter Bloem, Rianne van den Berg, Ivan Titov, Max Welling

Proceedings of the Semantic Web - 15th International Conference, 2018

2017

Graph Convolutional Matrix Completion.

Rianne van den Berg, Thomas N. Kipf, Max Welling

CoRR, 2017

Semi-Supervised Classification with Graph Convolutional Networks.

Thomas N. Kipf, Max Welling

Proceedings of the 5th International Conference on Learning Representations, 2017

2016

Variational Graph Auto-Encoders.

Thomas N. Kipf, Max Welling

CoRR, 2016