Hierarchical Attentive Recurrent Tracking. - Adam R. Kosiorek; Alex Bewley; Ingmar Posner (NIPS, 2017)

Tighter Variational Bounds are Not Necessarily Better. - Tom Rainforth; Adam R. Kosiorek; Tuan Anh Le 001; Chris J. Maddison; Maximilian Igl; Frank Wood; Yee Whye Teh (ICML, 2018)

Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects. - Adam R. Kosiorek; Hyunjik Kim; Yee Whye Teh; Ingmar Posner (NeurIPS, 2018)

Revisiting Reweighted Wake-Sleep. - Tuan Anh Le 001; Adam R. Kosiorek; N. Siddharth 001; Yee Whye Teh; Frank Wood (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)

Set Transformer. - Juho Lee 001; Yoonho Lee 001; Jungtaek Kim 001; Adam R. Kosiorek; Seungjin Choi; Yee Whye Teh (CoRR, 2018)

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 (BMVC, 2019)

Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks. - Juho Lee 001; Yoonho Lee 001; Jungtaek Kim 001; Adam R. Kosiorek; Seungjin Choi; Yee Whye Teh (ICML, 2019)

Stacked Capsule Autoencoders. - Adam R. Kosiorek; Sara Sabour; Yee Whye Teh; Geoffrey E. Hinton (NeurIPS, 2019)

Revisiting Reweighted Wake-Sleep for Models with Stochastic Control Flow. - Tuan Anh Le 001; Adam R. Kosiorek; N. Siddharth 001; Yee Whye Teh; Frank Wood (UAI, 2019)

End-to-end Recurrent Multi-Object Tracking and Trajectory Prediction with Relational Reasoning. - Fabian B. Fuchs; Adam R. Kosiorek; Li Sun 005; Oiwi Parker Jones; Ingmar Posner (CoRR, 2019)

GENESIS: Generative Scene Inference and Sampling with Object-Centric Latent Representations. - Martin Engelcke; Adam R. Kosiorek; Oiwi Parker Jones; Ingmar Posner (ICLR, 2020)

MetaFun: Meta-Learning with Iterative Functional Updates. - Jin Xu 011; Jean-Francois Ton; Hyunjik Kim; Adam R. Kosiorek; Yee Whye Teh (ICML, 2020)

Conditional Set Generation with Transformers. - Adam R. Kosiorek; Hyunjik Kim; Danilo J. Rezende (CoRR, 2020)

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 (ICML, 2021)

Decomposing 3D Scenes into Objects via Unsupervised Volume Segmentation. - Karl Stelzner; Kristian Kersting; Adam R. Kosiorek (CoRR, 2021)

Adversarial Masking for Self-Supervised Learning. - Yuge Shi; N. Siddharth 001; Philip H. S. Torr; Adam R. Kosiorek (ICML, 2022)

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)