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Jonathan Richard Schwarz
Jonathan Richard Schwarz
Verified email at hms.harvard.edu - Homepage
Title
Cited by
Cited by
Year
Progress & Compress: A scalable framework for continual learning
J Schwarz, J Luketina, WM Czarnecki, A Grabska-Barwinska, YW Teh, ...
arXiv preprint arXiv:1805.06370, 2018
8132018
Experience replay for continual learning
D Rolnick, A Ahuja, J Schwarz, TP Lillicrap, G Wayne
arXiv preprint arXiv:1811.11682, 2018
8102018
The narrativeqa reading comprehension challenge
T Kočiskı, J Schwarz, P Blunsom, C Dyer, KM Hermann, G Melis, ...
Transactions of the Association for Computational Linguistics 6, 317-328, 2018
6012018
Neural processes
M Garnelo, J Schwarz, D Rosenbaum, F Viola, DJ Rezende, SM Eslami, ...
arXiv preprint arXiv:1807.01622, 2018
5442018
Attentive neural processes
H Kim, A Mnih, J Schwarz, M Garnelo, A Eslami, D Rosenbaum, O Vinyals, ...
arXiv preprint arXiv:1901.05761, 2019
3952019
A Recurrent Variational Autoencoder for Human Motion Synthesis
I Habibie, D Holden, J Schwarz, J Yearsley, T Komura
BMVC 7, 1, 2017
175*2017
Functional regularisation for continual learning with gaussian processes
MK Titsias, J Schwarz, AGG Matthews, R Pascanu, YW Teh
arXiv preprint arXiv:1901.11356, 2019
1492019
Multiplicative interactions and where to find them
SM Jayakumar, WM Czarnecki, J Menick, J Schwarz, J Rae, S Osindero, ...
1202020
Information asymmetry in KL-regularized RL
A Galashov, SM Jayakumar, L Hasenclever, D Tirumala, J Schwarz, ...
arXiv preprint arXiv:1905.01240, 2019
1002019
Powerpropagation: A sparsity inducing weight reparameterisation
J Schwarz, S Jayakumar, R Pascanu, PE Latham, Y Teh
Advances in neural information processing systems 34, 28889-28903, 2021
462021
Empirical Evaluation of Neural Process Objectives
TA Le, H Kim, M Garnelo, D Rosenbaum, J Schwarz, YW Teh
Third workshop on Bayesian Deep Learning (NeurIPS 2018), 2018
422018
Behavior priors for efficient reinforcement learning
D Tirumala, A Galashov, H Noh, L Hasenclever, R Pascanu, J Schwarz, ...
The Journal of Machine Learning Research 23 (1), 9989-10056, 2022
302022
Meta-learning surrogate models for sequential decision making
A Galashov, J Schwarz, H Kim, M Garnelo, D Saxton, P Kohli, SM Eslami, ...
arXiv preprint arXiv:1903.11907, 2019
272019
Meta-learning sparse compression networks
JR Schwarz, YW Teh
arXiv preprint arXiv:2205.08957, 2022
142022
Spatial functa: Scaling functa to imagenet classification and generation
M Bauer, E Dupont, A Brock, D Rosenbaum, JR Schwarz, H Kim
arXiv preprint arXiv:2302.03130, 2023
122023
Modality-Agnostic Variational Compression of Implicit Neural Representations
JR Schwarz, J Tack, YW Teh, J Lee, J Shin
arXiv preprint arXiv:2301.09479, 2023
92023
On the correspondence between replicator dynamics and assignment flows
B Boll, J Schwarz, C Schnörr
International Conference on Scale Space and Variational Methods in Computer …, 2021
52021
Learning 3D Global Human Motion Estimation from Unpaired, Disjoint Datasets.
J Habekost, T Shiratori, Y Ye, T Komura, M Shi, K Aberman, A Aristidou, ...
BMVC, 2020
52020
Learning Large-scale Neural Fields via Context Pruned Meta-Learning
J Tack, S Kim, S Yu, J Lee, J Shin, JR Schwarz
Advances in Neural Information Processing Systems 36, 2024
4*2024
Data-Driven Character Animation Synthesis
I Habibie, T Komura, J Schwarz, D Holden
Handbook of Human Motion, 2016
4*2016
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Articles 1–20