Samuel Kaski

Affiliations

Aalto University, The University of Manchester

papers

352

total citations

papers (15)

Rethinking pooling in graph neural networks

NEURIPS 2020arXiv

136

citations

Provably expressive temporal graph networks

NEURIPS 2022arXiv

citations

Learning Robust Statistics for Simulation-based Inference under Model Misspecification

NEURIPS 2023arXiv

citations

From Alexnet to Transformers: Measuring the Non-linearity of Deep Neural Networks with Affine Optimal Transport

CVPR 2025arXiv

citations

PABBO: Preferential Amortized Black-Box Optimization

ICLR 2025arXiv

citations

De-randomizing MCMC dynamics with the diffusion Stein operator

NEURIPS 2021arXiv

citations

Embarrassingly Parallel GFlowNets

ICML 2024arXiv

citations

ALINE: Joint Amortization for Bayesian Inference and Active Data Acquisition

NEURIPS 2025arXiv

citations

Generalization and Distributed Learning of GFlowNets

ICLR 2025

citations

A Principle of Targeted Intervention for Multi-Agent Reinforcement Learning

NEURIPS 2025arXiv

citations

Samuel Kaski

Affiliations

papers (15)

Rethinking pooling in graph neural networks

Provably expressive temporal graph networks

Learning Robust Statistics for Simulation-based Inference under Model Misspecification

Compositional Sculpting of Iterative Generative Processes

Deconfounded Representation Similarity for Comparison of Neural Networks

Modular Flows: Differential Molecular Generation

Practical Equivariances via Relational Conditional Neural Processes

Open Ad Hoc Teamwork with Cooperative Game Theory

From Alexnet to Transformers: Measuring the Non-linearity of Deep Neural Networks with Affine Optimal Transport

PABBO: Preferential Amortized Black-Box Optimization

De-randomizing MCMC dynamics with the diffusion Stein operator

Embarrassingly Parallel GFlowNets

ALINE: Joint Amortization for Bayesian Inference and Active Data Acquisition

Generalization and Distributed Learning of GFlowNets

A Principle of Targeted Intervention for Multi-Agent Reinforcement Learning

papers (15)

Rethinking pooling in graph neural networks

Provably expressive temporal graph networks

Learning Robust Statistics for Simulation-based Inference under Model Misspecification

Compositional Sculpting of Iterative Generative Processes

Deconfounded Representation Similarity for Comparison of Neural Networks

Modular Flows: Differential Molecular Generation

Practical Equivariances via Relational Conditional Neural Processes

Open Ad Hoc Teamwork with Cooperative Game Theory

From Alexnet to Transformers: Measuring the Non-linearity of Deep Neural Networks with Affine Optimal Transport

PABBO: Preferential Amortized Black-Box Optimization

De-randomizing MCMC dynamics with the diffusion Stein operator

Embarrassingly Parallel GFlowNets

ALINE: Joint Amortization for Bayesian Inference and Active Data Acquisition

Generalization and Distributed Learning of GFlowNets

A Principle of Targeted Intervention for Multi-Agent Reinforcement Learning