Adam R. Kosiorek

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 26

Top Topics

Object Tracking

Generative Model

Top Venues

Publications

Pol Moreno, Adam R. Kosiorek, Heiko Strathmann, Daniel Zoran, Rosália G. Schneider, Björn Winckler, Larisa Markeeva, Théophane Weber, Danilo J. Rezende
Laser: Latent Set Representations for 3D Generative Modeling. CoRR (2023)
Yuge Shi, N. Siddharth, Philip H. S. Torr, Adam R. Kosiorek
Adversarial Masking for Self-Supervised Learning. ICML (2022)
Yuge Shi, N. Siddharth, Philip H. S. Torr, Adam R. Kosiorek
Adversarial Masking for Self-Supervised Learning. CoRR (2022)
Adam R. Kosiorek, Heiko Strathmann, Daniel Zoran, Pol Moreno, Rosalia Schneider, Sona Mokrá, Danilo J. Rezende
NeRF-VAE: A Geometry Aware 3D Scene Generative Model. CoRR (2021)
Karl Stelzner, Kristian Kersting, Adam R. Kosiorek
Decomposing 3D Scenes into Objects via Unsupervised Volume Segmentation. CoRR (2021)
Adam R. Kosiorek, Heiko Strathmann, Daniel Zoran, Pol Moreno, Rosalia Schneider, Sona Mokrá, Danilo Jimenez Rezende
NeRF-VAE: A Geometry Aware 3D Scene Generative Model. ICML (2021)
Martin Engelcke, Adam R. Kosiorek, Oiwi Parker Jones, Ingmar Posner
GENESIS: Generative Scene Inference and Sampling with Object-Centric Latent Representations. ICLR (2020)
Jin Xu, Jean-Francois Ton, Hyunjik Kim, Adam R. Kosiorek, Yee Whye Teh
MetaFun: Meta-Learning with Iterative Functional Updates. ICML (2020)
Adam R. Kosiorek, Hyunjik Kim, Danilo J. Rezende
Conditional Set Generation with Transformers. CoRR (2020)
Adam R. Kosiorek, Sara Sabour, Yee Whye Teh, Geoffrey E. Hinton
Stacked Capsule Autoencoders. NeurIPS (2019)
Tuan Anh Le, Adam R. Kosiorek, N. Siddharth, Yee Whye Teh, Frank Wood
Revisiting Reweighted Wake-Sleep for Models with Stochastic Control Flow. UAI (2019)
Martin Engelcke, Adam R. Kosiorek, Oiwi Parker Jones, Ingmar Posner
GENESIS: Generative Scene Inference and Sampling with Object-Centric Latent Representations. CoRR (2019)
Fabian B. Fuchs, Oliver Groth, Adam R. Kosiorek, Alex Bewley, Markus Wulfmeier, Andrea Vedaldi, Ingmar Posner
Scrutinizing and De-Biasing Intuitive Physics with Neural Stethoscopes. BMVC (2019)
Jin Xu, Jean-Francois Ton, Hyunjik Kim, Adam R. Kosiorek, Yee Whye Teh
MetaFun: Meta-Learning with Iterative Functional Updates. CoRR (2019)
Juho Lee, Yoonho Lee, Jungtaek Kim, Adam R. Kosiorek, Seungjin Choi, Yee Whye Teh
Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks. ICML (2019)
Fabian B. Fuchs, Adam R. Kosiorek, Li Sun, Oiwi Parker Jones, Ingmar Posner
End-to-end Recurrent Multi-Object Tracking and Trajectory Prediction with Relational Reasoning. CoRR (2019)
Adam R. Kosiorek, Sara Sabour, Yee Whye Teh, Geoffrey E. Hinton
Stacked Capsule Autoencoders. CoRR (2019)
Juho Lee, Yoonho Lee, Jungtaek Kim, Adam R. Kosiorek, Seungjin Choi, Yee Whye Teh
Set Transformer. CoRR (2018)
Adam R. Kosiorek, Hyunjik Kim, Yee Whye Teh, Ingmar Posner
Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects. NeurIPS (2018)
Tuan Anh Le, Adam R. Kosiorek, N. Siddharth, Yee Whye Teh, Frank Wood
Revisiting Reweighted Wake-Sleep. CoRR (2018)
Tom Rainforth, Adam R. Kosiorek, Tuan Anh Le, Chris J. Maddison, Maximilian Igl, Frank Wood, Yee Whye Teh
Tighter Variational Bounds are Not Necessarily Better. CoRR (2018)
Tom Rainforth, Adam R. Kosiorek, Tuan Anh Le, Chris J. Maddison, Maximilian Igl, Frank Wood, Yee Whye Teh
Tighter Variational Bounds are Not Necessarily Better. ICML (2018)
Fabian B. Fuchs, Oliver Groth, Adam R. Kosiorek, Alex Bewley, Markus Wulfmeier, Andrea Vedaldi, Ingmar Posner
Neural Stethoscopes: Unifying Analytic, Auxiliary and Adversarial Network Probing. CoRR (2018)
Adam R. Kosiorek, Hyunjik Kim, Ingmar Posner, Yee Whye Teh
Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects. CoRR (2018)
Adam R. Kosiorek, Alex Bewley, Ingmar Posner
Hierarchical Attentive Recurrent Tracking. NIPS (2017)
Adam R. Kosiorek, Alex Bewley, Ingmar Posner
Hierarchical Attentive Recurrent Tracking. CoRR (2017)