Siddharth Swaroop
Siddharth Swaroop
Verified email at cam.ac.uk - Homepage
Title
Cited by
Cited by
Year
Practical deep learning with Bayesian principles
K Osawa, S Swaroop, A Jain, R Eschenhagen, RE Turner, R Yokota, ...
arXiv preprint arXiv:1906.02506, 2019
882019
Improving and understanding variational continual learning
S Swaroop, CV Nguyen, TD Bui, RE Turner
arXiv preprint arXiv:1905.02099, 2019
252019
Continual deep learning by functional regularisation of memorable past
P Pan, S Swaroop, A Immer, R Eschenhagen, RE Turner, ME Khan
arXiv preprint arXiv:2004.14070, 2020
212020
Partitioned variational inference: A unified framework encompassing federated and continual learning
TD Bui, CV Nguyen, S Swaroop, RE Turner
arXiv preprint arXiv:1811.11206, 2018
162018
Neural network ensembles and variational inference revisited
MB Tomczak, S Swaroop, RE Turner
82018
Generalized variational continual learning
N Loo, S Swaroop, RE Turner
arXiv preprint arXiv:2011.12328, 2020
32020
Efficient low rank gaussian variational inference for neural networks
M Tomczak, S Swaroop, RE Turner
NeurIPS, 2020
32020
Differentially Private Federated Variational Inference
M Sharma, M Hutchinson, S Swaroop, A Honkela, RE Turner
arXiv preprint arXiv:1911.10563, 2019
12019
Understanding Expectation Propagation
S Swaroop, RE Turner
Technical report, University of Cambridge, May 2017. URL https://github. com …, 2017
12017
Knowledge-Adaptation Priors
ME Khan, S Swaroop
arXiv preprint arXiv:2106.08769, 2021
2021
Combining Variational Continual Learning with FiLM Layers
N Loo, S Swaroop, RE Turner
2020
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Articles 1–11