Articles with public access mandates - N. SiddharthLearn more
Available somewhere: 17
Learning disentangled representations with semi-supervised deep generative models
N Siddharth, B Paige, JW Van de Meent, A Desmaison, N Goodman, ...
Mandates: US Department of Defense, UK Engineering and Physical Sciences Research …
Disentangling Disentanglement in Variational Autoencoders
E Mathieu, T Rainforth, N Siddharth, YW Teh
International Conference on Machine Learning, 4402-4412, 2019
Mandates: UK Engineering and Physical Sciences Research Council, European Commission
Variational mixture-of-experts autoencoders for multi-modal deep generative models
Y Shi, N Siddharth, B Paige, PHS Torr
Advances in Neural Information Processing Systems, 2019
Mandates: UK Engineering and Physical Sciences Research Council, European Commission
Structured disentangled representations
B Esmaeili, H Wu, S Jain, A Bozkurt, N Siddharth, B Paige, DH Brooks, ...
Proceedings of the 22nd International Conference on Artificial Intelligence …, 2018
Mandates: US National Science Foundation, US National Institutes of Health, UK …
Adversarial masking for self-supervised learning
Y Shi, N Siddharth, P Torr, AR Kosiorek
International Conference on Machine Learning, 20026-20040, 2022
Mandates: UK Engineering and Physical Sciences Research Council, UK Research & Innovation
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
Mandates: US Department of Defense, UK Engineering and Physical Sciences Research …
Capturing label characteristics in VAEs
T Joy, SM Schmon, PHS Torr, N Siddharth, T Rainforth
International Conference On Learning Representations, 2021
Mandates: UK Engineering and Physical Sciences Research Council, European Commission
Faithful inversion of generative models for effective amortized inference
S Webb, A Golinski, R Zinkov, N Siddharth, T Rainforth, YW Teh, F Wood
Advances in Neural Information Processing Systems, 3074-3084, 2018
Mandates: US Department of Defense, UK Engineering and Physical Sciences Research …
FlipDial: A generative model for two-way visual dialogue
D Massiceti, N Siddharth, PK Dokania, PHS Torr
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2018
Mandates: UK Engineering and Physical Sciences Research Council, European Commission
Relating by contrasting: A data-efficient framework for multimodal DGMs
Y Shi, B Paige, PHS Torr, N Siddharth
Open Review, 2021
Mandates: UK Engineering and Physical Sciences Research Council
Seeing is Worse than Believing: Reading People’s Minds Better than Computer-Vision Methods Recognize Actions
A Barbu, DP Barrett, W Chen, N Siddharth, C Xiong, JJ Corso, ...
Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014
Mandates: Science Foundation Ireland
Multitask Soft Option Learning
M Igl, A Gambardella, J He, N Nardelli, N Siddharth, W Böhmer, ...
arXiv preprint arXiv:1904.01033, 2019
Mandates: UK Engineering and Physical Sciences Research Council, European Commission
A conditional deep generative model of people in natural images
R De Bem, A Ghosh, A Boukhayma, T Ajanthan, N Siddharth, P Torr
2019 IEEE Winter Conference on Applications of Computer Vision (WACV), 1449-1458, 2019
Mandates: UK Engineering and Physical Sciences Research Council, European Commission
A semi-supervised deep generative model for human body analysis
R De Bem, A Ghosh, T Ajanthan, O Miksik, N Siddharth, P Torr
Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 0-0, 2018
Mandates: UK Engineering and Physical Sciences Research Council, European Commission
Dgpose: Deep Generative Models for Human Body Analysis
R de Bem, A Ghosh, T Ajanthan, O Miksik, N Siddharth, PHS Torr
International Journal of Computer Vision 128 (5), 1537-1563, 2020
Mandates: UK Engineering and Physical Sciences Research Council, European Commission
Lessons from Reinforcement Learning for Biological Representations of Space
A Muryy, N Siddharth, N Nardelli, A Glennerster, PHS Torr
Vision Research 174, 79-93, 2020
Mandates: UK Engineering and Physical Sciences Research Council, European Commission
Drawing out of Distribution with Neuro-Symbolic Generative Models
Y Liang, J Tenenbaum, TA Le, N Siddharth
Advances in Neural Information Processing Systems 35, 15244-15254, 2022
Mandates: UK Engineering and Physical Sciences Research Council
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