Adam R. Kosiorek

According to our database, Adam R. Kosiorek authored at least 18 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Laser: Latent Set Representations for 3D Generative Modeling.

Pol Moreno, Adam R. Kosiorek, Heiko Strathmann, Daniel Zoran, Rosália G. Schneider, Björn Winckler, Larisa Markeeva, Théophane Weber, Danilo J. Rezende

CoRR, 2023

2022

Adversarial Masking for Self-Supervised Learning.

Yuge Shi, N. Siddharth, Philip H. S. Torr, Adam R. Kosiorek

Proceedings of the International Conference on Machine Learning, 2022

2021

Decomposing 3D Scenes into Objects via Unsupervised Volume Segmentation.

Karl Stelzner, Kristian Kersting, Adam R. Kosiorek

CoRR, 2021

NeRF-VAE: A Geometry Aware 3D Scene Generative Model.

Adam R. Kosiorek, Heiko Strathmann, Daniel Zoran, Pol Moreno, Rosalia Schneider, Sona Mokrá, Danilo Jimenez Rezende

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Conditional Set Generation with Transformers.

Adam R. Kosiorek, Hyunjik Kim, Danilo J. Rezende

CoRR, 2020

MetaFun: Meta-Learning with Iterative Functional Updates.

Jin Xu, Jean-Francois Ton, Hyunjik Kim, Adam R. Kosiorek, Yee Whye Teh

Proceedings of the 37th International Conference on Machine Learning, 2020

GENESIS: Generative Scene Inference and Sampling with Object-Centric Latent Representations.

Martin Engelcke, Adam R. Kosiorek, Oiwi Parker Jones, Ingmar Posner

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

2019

End-to-end Recurrent Multi-Object Tracking and Trajectory Prediction with Relational Reasoning.

Fabian B. Fuchs, Adam R. Kosiorek, Li Sun, Oiwi Parker Jones, Ingmar Posner

CoRR, 2019

Revisiting Reweighted Wake-Sleep for Models with Stochastic Control Flow.

Tuan Anh Le, Adam R. Kosiorek, N. Siddharth, Yee Whye Teh, Frank Wood

Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

Stacked Capsule Autoencoders.

Adam R. Kosiorek, Sara Sabour, Yee Whye Teh, Geoffrey E. Hinton

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks.

Juho Lee, Yoonho Lee, Jungtaek Kim, Adam R. Kosiorek, Seungjin Choi, Yee Whye Teh

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

Scrutinizing and De-Biasing Intuitive Physics with Neural Stethoscopes.

Fabian B. Fuchs, Oliver Groth, Adam R. Kosiorek, Alex Bewley, Markus Wulfmeier, Andrea Vedaldi, Ingmar Posner

Proceedings of the 30th British Machine Vision Conference 2019, 2019

2018

Set Transformer.

Juho Lee, Yoonho Lee, Jungtaek Kim, Adam R. Kosiorek, Seungjin Choi, Yee Whye Teh

CoRR, 2018

Neural Stethoscopes: Unifying Analytic, Auxiliary and Adversarial Network Probing.

Fabian B. Fuchs, Oliver Groth, Adam R. Kosiorek, Alex Bewley, Markus Wulfmeier, Andrea Vedaldi, Ingmar Posner

CoRR, 2018

Revisiting Reweighted Wake-Sleep.

Tuan Anh Le, Adam R. Kosiorek, N. Siddharth, Yee Whye Teh, Frank Wood

CoRR, 2018

Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects.

Adam R. Kosiorek, Hyunjik Kim, Yee Whye Teh, Ingmar Posner

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Tighter Variational Bounds are Not Necessarily Better.

Tom Rainforth, Adam R. Kosiorek, Tuan Anh Le, Chris J. Maddison, Maximilian Igl, Frank Wood, Yee Whye Teh

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

2017

Hierarchical Attentive Recurrent Tracking.

Adam R. Kosiorek, Alex Bewley, Ingmar Posner

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017