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Russell Tsuchida
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2020 – today
- 2024
- [c11]Russell Tsuchida, Cheng Soon Ong, Dino Sejdinovic:
Exact, Fast and Expressive Poisson Point Processes via Squared Neural Families. AAAI 2024: 20559-20566 - [c10]Changkun Ye, Russell Tsuchida, Lars Petersson, Nick Barnes:
Label Shift Estimation for Class-Imbalance Problem: A Bayesian Approach. WACV 2024: 1062-1071 - [i11]Daniel MacKinlay, Russell Tsuchida, Daniel Edward Pagendam, Petra Kuhnert:
Gaussian Ensemble Belief Propagation for Efficient Inference in High-Dimensional Systems. CoRR abs/2402.08193 (2024) - [i10]Russell Tsuchida, Cheng Soon Ong, Dino Sejdinovic:
Exact, Fast and Expressive Poisson Point Processes via Squared Neural Families. CoRR abs/2402.09608 (2024) - 2023
- [j1]Russell Tsuchida, Cheng Soon Ong:
Stochastic gradient updates yield deep equilibrium kernels. Trans. Mach. Learn. Res. 2023 (2023) - [c9]Russell Tsuchida, Cheng Soon Ong:
Deep equilibrium models as estimators for continuous latent variables. AISTATS 2023: 1646-1671 - [c8]Russell Tsuchida, Cheng Soon Ong, Dino Sejdinovic:
Squared Neural Families: A New Class of Tractable Density Models. NeurIPS 2023 - [i9]Abdelwahed Khamis, Russell Tsuchida, Mohamed Tarek
, Vivien Rolland, Lars Petersson:
Earth Movers in The Big Data Era: A Review of Optimal Transport in Machine Learning. CoRR abs/2305.05080 (2023) - [i8]Russell Tsuchida, Cheng Soon Ong, Dino Sejdinovic:
Squared Neural Families: A New Class of Tractable Density Models. CoRR abs/2305.13552 (2023) - 2022
- [c7]Mengyan Zhang, Russell Tsuchida, Cheng Soon Ong:
Gaussian Process Bandits with Aggregated Feedback. AAAI 2022: 9074-9081 - [c6]Russell Tsuchida, Suk Yee Yong, Mohammad Ali Armin, Lars Petersson, Cheng Soon Ong:
Declarative nets that are equilibrium models. ICLR 2022 - [c5]Changkun Ye, Nick Barnes, Lars Petersson
, Russell Tsuchida:
Efficient Gaussian Process Model on Class-Imbalanced Datasets for Generalized Zero-Shot Learning. ICPR 2022: 2078-2085 - [i7]Changkun Ye, Nick Barnes, Lars Petersson, Russell Tsuchida:
Efficient Gaussian Process Model on Class-Imbalanced Datasets for Generalized Zero-Shot Learning. CoRR abs/2210.06120 (2022) - [i6]Russell Tsuchida, Cheng Soon Ong:
Deep equilibrium models as estimators for continuous latent variables. CoRR abs/2211.05943 (2022) - 2021
- [c4]Russell Tsuchida, Tim Pearce, Christopher van der Heide, Fred Roosta, Marcus Gallagher:
Avoiding Kernel Fixed Points: Computing with ELU and GELU Infinite Networks. AAAI 2021: 9967-9977 - [i5]Mengyan Zhang, Russell Tsuchida, Cheng Soon Ong:
Gaussian Process Bandits with Aggregated Feedback. CoRR abs/2112.13029 (2021) - 2020
- [b1]Russell Tsuchida
:
Results on infinitely wide multi-layer perceptrons. University of Queensland, Australia, 2020 - [i4]Russell Tsuchida, Tim Pearce, Christopher van der Heide, Fred Roosta, Marcus Gallagher:
Avoiding Kernel Fixed Points: Computing with ELU and GELU Infinite Networks. CoRR abs/2002.08517 (2020)
2010 – 2019
- 2019
- [c3]Russell Tsuchida, Fred (Farbod) Roosta, Marcus Gallagher
:
Exchangeability and Kernel Invariance in Trained MLPs. IJCAI 2019: 3592-3598 - [c2]Tim Pearce, Russell Tsuchida, Mohamed Zaki, Alexandra Brintrup, Andy Neely:
Expressive Priors in Bayesian Neural Networks: Kernel Combinations and Periodic Functions. UAI 2019: 134-144 - [i3]Russell Tsuchida, Fred Roosta, Marcus Gallagher:
Richer priors for infinitely wide multi-layer perceptrons. CoRR abs/1911.12927 (2019) - 2018
- [c1]Russell Tsuchida, Farbod Roosta-Khorasani, Marcus Gallagher:
Invariance of Weight Distributions in Rectified MLPs. ICML 2018: 5002-5011 - [i2]Russell Tsuchida, Fred (Farbod) Roosta, Marcus Gallagher:
Exchangeability and Kernel Invariance in Trained MLPs. CoRR abs/1810.08351 (2018) - 2017
- [i1]Russell Tsuchida, Farbod Roosta-Khorasani, Marcus Gallagher:
Invariance of Weight Distributions in Rectified MLPs. CoRR abs/1711.09090 (2017)
Coauthor Index
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last updated on 2024-08-05 21:16 CEST by the dblp team
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