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ORCIDJonathan So
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2020 – today
- 2024
[c4]Jonathan So, Richard E. Turner:
Optimising Distributions with Natural Gradient Surrogates. AISTATS 2024: 2224-2232- [c3]Hermanni Hälvä, Jonathan So, Richard E. Turner, Aapo Hyvärinen:
Identifiable Feature Learning for Spatial Data with Nonlinear ICA. AISTATS 2024: 3331-3339 - [i6]Jonathan So:
Estimating the normal-inverse-Wishart distribution. CoRR abs/2405.16088 (2024) - [i5]Jonathan So, Richard E. Turner:
Fearless Stochasticity in Expectation Propagation. CoRR abs/2406.01801 (2024) - 2023
- [i4]Jonathan So, Richard E. Turner:
Optimising Distributions with Natural Gradient Surrogates. CoRR abs/2310.11837 (2023) - [i3]Hermanni Hälvä, Jonathan So, Richard E. Turner, Aapo Hyvärinen:
Identifiable Feature Learning for Spatial Data with Nonlinear ICA. CoRR abs/2311.16849 (2023) - 2021
- [c2]Hermanni Hälvä, Sylvain Le Corff, Luc Lehéricy, Jonathan So, Yongjie Zhu, Elisabeth Gassiat, Aapo Hyvärinen:
Disentangling Identifiable Features from Noisy Data with Structured Nonlinear ICA. NeurIPS 2021: 1624-1633 - [i2]Hermanni Hälvä, Sylvain Le Corff, Luc Lehéricy, Jonathan So, Yongjie Zhu, Elisabeth Gassiat, Aapo Hyvärinen:
Disentangling Identifiable Features from Noisy Data with Structured Nonlinear ICA. CoRR abs/2106.09620 (2021) - 2020
- [i1]Matthew Ashman, Jonathan So, William Tebbutt, Vincent Fortuin, Michael Pearce, Richard E. Turner:
Sparse Gaussian Process Variational Autoencoders. CoRR abs/2010.10177 (2020)
2000 – 2009
- 2007
- [c1]Rudi Ball, James Grant, Jonathan So, Victoria Spurrett, Rogério de Lemos:
Dependable and Secure Distributed Storage System for Ad Hoc Networks. ADHOC-NOW 2007: 142-152
Coauthor Index
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