Judith Rousseau

Publication Activity (10 Years)

Years Active: 2009-2023
Publications (10 Years): 13

Top Topics

Activation Function

Top Venues

Publications

Paul Rosa, Slava Borovitskiy, Alexander Terenin, Judith Rousseau
Posterior Contraction Rates for Matérn Gaussian Processes on Riemannian Manifolds. NeurIPS (2023)
Paul Rosa, Viacheslav Borovitskiy, Alexander Terenin, Judith Rousseau
Posterior Contraction Rates for Matérn Gaussian Processes on Riemannian Manifolds. CoRR (2023)
Cian Naik, Judith Rousseau, Trevor Campbell
Fast Bayesian Coresets via Subsampling and Quasi-Newton Refinement. CoRR (2022)
Cian Naik, François Caron, Judith Rousseau, Yee Whye Teh, Konstantina Palla
Bayesian Nonparametrics for Sparse Dynamic Networks. ECML/PKDD (5) (2022)
Cian Naik, Judith Rousseau, Trevor Campbell
Fast Bayesian Coresets via Subsampling and Quasi-Newton Refinement. NeurIPS (2022)
Soufiane Hayou, Arnaud Doucet, Judith Rousseau
The Curse of Depth in Kernel Regime. ICBINB@NeurIPS (2021)
Soufiane Hayou, Eugenio Clerico, Bobby He, George Deligiannidis, Arnaud Doucet, Judith Rousseau
Stable ResNet. AISTATS (2021)
Soufiane Hayou, Eugenio Clerico, Bobby He, George Deligiannidis, Arnaud Doucet, Judith Rousseau
Stable ResNet. CoRR (2020)
Soufiane Hayou, Arnaud Doucet, Judith Rousseau
On the Impact of the Activation Function on Deep Neural Networks Training. CoRR (2019)
Cian Naik, François Caron, Judith Rousseau
Sparse Networks with Core-Periphery Structure. CoRR (2019)
Soufiane Hayou, Arnaud Doucet, Judith Rousseau
Training Dynamics of Deep Networks using Stochastic Gradient Descent via Neural Tangent Kernel. CoRR (2019)
Soufiane Hayou, Arnaud Doucet, Judith Rousseau
On the Impact of the Activation function on Deep Neural Networks Training. ICML (2019)
Soufiane Hayou, Arnaud Doucet, Judith Rousseau
On the Selection of Initialization and Activation Function for Deep Neural Networks. CoRR (2018)
Darfiana Nur, David Allingham, Judith Rousseau, Kerrie L. Mengersen, Ross McVinish
Bayesian hidden Markov model for DNA sequence segmentation: A prior sensitivity analysis. Comput. Stat. Data Anal. 53 (5) (2009)