Samuel Kaski

Samuel Kaski

Machine learning professor

Posts by Collection

portfolio

publications

Toward AI assistants that let designers design

Published in AI magazine, 2023

Opens doors to AI assistance in design, instead of automation of design.

Recommended citation: Sebastiaan De Peuter, Antti Oulasvirta, Samuel Kaski. (2023) "Toward AI assistants that let designers design." AI magazine 44(1):85-96.
Download Paper

Compositional sculpting of iterative generative processes

Published in NeurIPS, 2023

Opens doors to defining compositions of iterative generative processes and sampling from these compositions.

Recommended citation: Timur Garipov, Sebastiaan De Peuter, Ge Yang, Vikas Garg, Samuel Kaski, Tommi Jaakkola (2023) "Compositional sculpting of iterative generative processes," in Advances in Neural Information Processing Systems 36:12665-12702. Curran Associates, Inc.
Download Paper

Virtual laboratories: transforming research with AI

Published in Data-Centric Engineering, 2024

The concept of virtual laboratories gives a new perspective to how AI and domain scientists can together produce better science.

Recommended citation: Klami A, Damoulas T, Engkvist O, Rinke P, Kaski S. (2024) "Virtual laboratories: transforming research with AI." Data-Centric Engineering 5:e19.
Download Paper

Meta-Analysis of Bayesian Analyses

Published in Bayesian Analysis, 2024

How to do meta-analysis when researchers have published posterior distributions of their models.

Recommended citation: Paul Blomstedt, Diego Mesquita, Omar Rivasplata, Jarno Lintusaari, Tuomas Sivula, Jukka Corander, Samuel Kaski (2024) "Meta-Analysis of Bayesian Analyses." Bayesian Analysis. Advance publication.
Download Paper

Preference learning of latent decision utilities with a human-like model of preferential choice

Published in NeurIPS, 2024

Better results in expert-in-the-loop tasks with an amortized cognitive model.

Recommended citation: Sebastiaan De Peuter, Shibei Zhu, Yujia Guo, Andrew Howes, Samuel Kaski (2024) " Preference learning of latent decision utilities with a human-like model of preferential choice," in Advances in Neural Information Processing Systems 37:123608-123636. Curran Associates, Inc.
Download Paper

Amortized Bayesian experimental design for decision-making

Published in NeurIPS, 2024

Amortized experimental design for a downstream decision-making utility.

Recommended citation: Daolang Huang, Yujia Guo, Luigi Acerbi, Samuel Kaski (2024) "Amortized Bayesian experimental design for decision-making," in Advances in Neural Information Processing Systems 37:109460-109486. Curran Associates, Inc.
Download Paper

talks

teaching

Teaching experience 1

Undergraduate course, University 1, Department, 2014

This is a description of a teaching experience. You can use markdown like any other post.

Teaching experience 2

Workshop, University 1, Department, 2015

This is a description of a teaching experience. You can use markdown like any other post.