Alert button
Picture for Samuel Kaski

Samuel Kaski

Alert button

Department of Computer Science, Aalto University, Department of Computer Science, University of Manchester

Collaborative Learning From Distributed Data With Differentially Private Synthetic Twin Data

Aug 09, 2023
Lukas Prediger, Joonas Jälkö, Antti Honkela, Samuel Kaski

Figure 1 for Collaborative Learning From Distributed Data With Differentially Private Synthetic Twin Data
Figure 2 for Collaborative Learning From Distributed Data With Differentially Private Synthetic Twin Data
Figure 3 for Collaborative Learning From Distributed Data With Differentially Private Synthetic Twin Data
Figure 4 for Collaborative Learning From Distributed Data With Differentially Private Synthetic Twin Data
Viaarxiv icon

Practical Equivariances via Relational Conditional Neural Processes

Jun 19, 2023
Daolang Huang, Manuel Haussmann, Ulpu Remes, ST John, Grégoire Clarté, Kevin Sebastian Luck, Samuel Kaski, Luigi Acerbi

Viaarxiv icon

Input gradient diversity for neural network ensembles

Jun 05, 2023
Trung Trinh, Markus Heinonen, Luigi Acerbi, Samuel Kaski

Figure 1 for Input gradient diversity for neural network ensembles
Figure 2 for Input gradient diversity for neural network ensembles
Figure 3 for Input gradient diversity for neural network ensembles
Figure 4 for Input gradient diversity for neural network ensembles
Viaarxiv icon

Learning Robust Statistics for Simulation-based Inference under Model Misspecification

May 25, 2023
Daolang Huang, Ayush Bharti, Amauri Souza, Luigi Acerbi, Samuel Kaski

Figure 1 for Learning Robust Statistics for Simulation-based Inference under Model Misspecification
Figure 2 for Learning Robust Statistics for Simulation-based Inference under Model Misspecification
Figure 3 for Learning Robust Statistics for Simulation-based Inference under Model Misspecification
Figure 4 for Learning Robust Statistics for Simulation-based Inference under Model Misspecification
Viaarxiv icon

Cost-aware learning of relevant contextual variables within Bayesian optimization

May 24, 2023
Julien Martinelli, Ayush Bharti, S. T. John, Armi Tiihonen, Sabina Sloman, Louis Filstroff, Samuel Kaski

Figure 1 for Cost-aware learning of relevant contextual variables within Bayesian optimization
Figure 2 for Cost-aware learning of relevant contextual variables within Bayesian optimization
Figure 3 for Cost-aware learning of relevant contextual variables within Bayesian optimization
Figure 4 for Cost-aware learning of relevant contextual variables within Bayesian optimization
Viaarxiv icon

TSGM: A Flexible Framework for Generative Modeling of Synthetic Time Series

May 19, 2023
Alexander Nikitin, Letizia Iannucci, Samuel Kaski

Figure 1 for TSGM: A Flexible Framework for Generative Modeling of Synthetic Time Series
Figure 2 for TSGM: A Flexible Framework for Generative Modeling of Synthetic Time Series
Figure 3 for TSGM: A Flexible Framework for Generative Modeling of Synthetic Time Series
Figure 4 for TSGM: A Flexible Framework for Generative Modeling of Synthetic Time Series
Viaarxiv icon

Online simulator-based experimental design for cognitive model selection

Mar 03, 2023
Alexander Aushev, Aini Putkonen, Gregoire Clarte, Suyog Chandramouli, Luigi Acerbi, Samuel Kaski, Andrew Howes

Figure 1 for Online simulator-based experimental design for cognitive model selection
Figure 2 for Online simulator-based experimental design for cognitive model selection
Figure 3 for Online simulator-based experimental design for cognitive model selection
Figure 4 for Online simulator-based experimental design for cognitive model selection
Viaarxiv icon

Uncoupled Learning of Differential Stackelberg Equilibria with Commitments

Feb 07, 2023
Robert Loftin, Mustafa Mert Çelikok, Herke van Hoof, Samuel Kaski, Frans A. Oliehoek

Viaarxiv icon

Optimally-Weighted Estimators of the Maximum Mean Discrepancy for Likelihood-Free Inference

Jan 30, 2023
Ayush Bharti, Masha Naslidnyk, Oscar Key, Samuel Kaski, François-Xavier Briol

Figure 1 for Optimally-Weighted Estimators of the Maximum Mean Discrepancy for Likelihood-Free Inference
Figure 2 for Optimally-Weighted Estimators of the Maximum Mean Discrepancy for Likelihood-Free Inference
Figure 3 for Optimally-Weighted Estimators of the Maximum Mean Discrepancy for Likelihood-Free Inference
Figure 4 for Optimally-Weighted Estimators of the Maximum Mean Discrepancy for Likelihood-Free Inference
Viaarxiv icon

Differentiable User Models

Nov 29, 2022
Alex Hämäläinen, Mustafa Mert Çelikok, Samuel Kaski

Figure 1 for Differentiable User Models
Figure 2 for Differentiable User Models
Figure 3 for Differentiable User Models
Figure 4 for Differentiable User Models
Viaarxiv icon