Adam R. Kosiorek
Adam R. Kosiorek
Research Scientist, DeepMind
Verified email at - Homepage
Cited by
Cited by
Set transformer: A framework for attention-based permutation-invariant neural networks
J Lee, Y Lee, J Kim, A Kosiorek, S Choi, YW Teh
International conference on machine learning, 3744-3753, 2019
Stacked Capsule Autoencoders
AR Kosiorek, S Sabour, YW Teh, GE Hinton
Advances in Neural Information Processing Systems, 2019
Genesis: Generative scene inference and sampling with object-centric latent representations
M Engelcke, AR Kosiorek, OP Jones, I Posner
arXiv preprint arXiv:1907.13052, 2019
Sequential attend, infer, repeat: Generative modelling of moving objects
A Kosiorek, H Kim, YW Teh, I Posner
Advances in Neural Information Processing Systems 31, 2018
Tighter variational bounds are not necessarily better
T Rainforth, AR Kosiorek, TA Le, CJ Maddison, M Igl, F Wood, YW Teh
International Conference on Machine Learning, 2018
Nerf-vae: A geometry aware 3d scene generative model
AR Kosiorek, H Strathmann, D Zoran, P Moreno, R Schneider, S Mokrá, ...
International Conference on Machine Learning, 5742-5752, 2021
Decomposing 3d scenes into objects via unsupervised volume segmentation
K Stelzner, K Kersting, AR Kosiorek
arXiv preprint arXiv:2104.01148, 2021
Hierarchical attentive recurrent tracking
A Kosiorek, A Bewley, I Posner
Advances in neural information processing systems 30, 2017
Revisiting reweighted wake-sleep for models with stochastic control flow
TA Le, AR Kosiorek, N Siddharth, YW Teh, F Wood
Uncertainty in Artificial Intelligence, 1039-1049, 2020
Metafun: Meta-learning with iterative functional updates
J Xu, JF Ton, H Kim, A Kosiorek, YW Teh
International Conference on Machine Learning, 10617-10627, 2020
Adversarial masking for self-supervised learning
Y Shi, N Siddharth, P Torr, AR Kosiorek
International Conference on Machine Learning, 20026-20040, 2022
Conditional set generation with transformers
AR Kosiorek, H Kim, DJ Rezende
arXiv preprint arXiv:2006.16841, 2020
End-to-end recurrent multi-object tracking and trajectory prediction with relational reasoning
FB Fuchs, AR Kosiorek, L Sun, OP Jones, I Posner
arXiv preprint arXiv:1907.12887, 2019
Generative adversarial set transformers
K Stelzner, K Kersting, AR Kosiorek
Workshop on Object-Oriented Learning at ICML 3, 1.34-0.15, 2020
Guiding Physical Intuition with Neural Stethoscopes
F Fuchs, O Groth, A Kosiorek, A Bewley, M Wulfmeier, A Vedaldi, I Posner
Bayesian delay embeddings for dynamical systems
N Dhir, AR Kosiorek, I Posner
NIPS Timeseries Workshop, 2017
Laser: Latent Set Representations for 3D Generative Modeling
P Moreno, AR Kosiorek, H Strathmann, D Zoran, RG Schneider, ...
arXiv preprint arXiv:2301.05747, 2023
Object discovery in images through categorizing object parts
AR Kosiorek, GE Hinton, SSR Aghdam, YW Teh
US Patent App. 17/613,767, 2022
Klasyfikacja obiektów 3D na podstawie danych RGBD
A Kosiorek
Instytut Automatyki i Robotyki, 2014
An Efficient Event-Based Optical Flow Implementation in C/C++ and CUDA
A Kosiorek, D Adrian, J Rausch, J Conradt
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