Russell Tsuchida

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 23

Top Topics

Imbalanced Datasets

Point Processes

Latent Variables

Top Venues

Publications

Russell Tsuchida, Cheng Soon Ong, Dino Sejdinovic
Exact, Fast and Expressive Poisson Point Processes via Squared Neural Families. AAAI (2024)
Russell Tsuchida, Cheng Soon Ong, Dino Sejdinovic
Exact, Fast and Expressive Poisson Point Processes via Squared Neural Families. CoRR (2024)
Changkun Ye, Russell Tsuchida, Lars Petersson, Nick Barnes
Label Shift Estimation for Class-Imbalance Problem: A Bayesian Approach. WACV (2024)
Daniel MacKinlay, Russell Tsuchida, Daniel Edward Pagendam, Petra Kuhnert
Gaussian Ensemble Belief Propagation for Efficient Inference in High-Dimensional Systems. CoRR (2024)
Russell Tsuchida, Cheng Soon Ong
Stochastic gradient updates yield deep equilibrium kernels. Trans. Mach. Learn. Res. 2023 (2023)
Russell Tsuchida, Cheng Soon Ong
Deep equilibrium models as estimators for continuous latent variables. AISTATS (2023)
Russell Tsuchida, Cheng Soon Ong, Dino Sejdinovic
Squared Neural Families: A New Class of Tractable Density Models. NeurIPS (2023)
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 (2023)
Russell Tsuchida, Cheng Soon Ong, Dino Sejdinovic
Squared Neural Families: A New Class of Tractable Density Models. CoRR (2023)
Changkun Ye, Nick Barnes, Lars Petersson, Russell Tsuchida
Efficient Gaussian Process Model on Class-Imbalanced Datasets for Generalized Zero-Shot Learning. ICPR (2022)
Russell Tsuchida, Suk Yee Yong, Mohammad Ali Armin, Lars Petersson, Cheng Soon Ong
Declarative nets that are equilibrium models. ICLR (2022)
Mengyan Zhang, Russell Tsuchida, Cheng Soon Ong
Gaussian Process Bandits with Aggregated Feedback. AAAI (2022)
Changkun Ye, Nick Barnes, Lars Petersson, Russell Tsuchida
Efficient Gaussian Process Model on Class-Imbalanced Datasets for Generalized Zero-Shot Learning. CoRR (2022)
Russell Tsuchida, Cheng Soon Ong
Deep equilibrium models as estimators for continuous latent variables. CoRR (2022)
Mengyan Zhang, Russell Tsuchida, Cheng Soon Ong
Gaussian Process Bandits with Aggregated Feedback. CoRR (2021)
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)
Russell Tsuchida, Tim Pearce, Christopher van der Heide, Fred Roosta, Marcus Gallagher
Avoiding Kernel Fixed Points: Computing with ELU and GELU Infinite Networks. CoRR (2020)
Tim Pearce, Russell Tsuchida, Mohamed Zaki, Alexandra Brintrup, Andy Neely
Expressive Priors in Bayesian Neural Networks: Kernel Combinations and Periodic Functions. UAI (2019)
Russell Tsuchida, Fred Roosta, Marcus Gallagher
Richer priors for infinitely wide multi-layer perceptrons. CoRR (2019)
Russell Tsuchida, Fred (Farbod) Roosta, Marcus Gallagher
Exchangeability and Kernel Invariance in Trained MLPs. IJCAI (2019)
Russell Tsuchida, Farbod Roosta-Khorasani, Marcus Gallagher
Invariance of Weight Distributions in Rectified MLPs. ICML (2018)
Russell Tsuchida, Fred (Farbod) Roosta, Marcus Gallagher
Exchangeability and Kernel Invariance in Trained MLPs. CoRR (2018)
Russell Tsuchida, Farbod Roosta-Khorasani, Marcus Gallagher
Invariance of Weight Distributions in Rectified MLPs. CoRR (2017)