Search Results for author: Łukasz Kidziński

Found 7 papers, 5 papers with code

Generalized Matrix Factorization

1 code implementation6 Oct 2020 Łukasz Kidziński, Francis K. C. Hui, David I. Warton, Trevor Hastie

Unmeasured or latent variables are often the cause of correlations between multivariate measurements and are studied in a variety of fields such as psychology, ecology, and medicine.

Latent Variable Models

Modeling treatment events in disease progression

no code implementations ICLR 2020 Guanyang Wang, Yumeng Zhang, Yong Deng, Xuxin Huang, Łukasz Kidziński

Ability to quantify and predict progression of a disease is fundamental for selecting an appropriate treatment.

Modeling longitudinal data using matrix completion

1 code implementation24 Sep 2018 Łukasz Kidziński, Trevor Hastie

From the statistical standpoint, such data is often analyzed in the context of a mixed-effect model where time is treated as both a fixed-effect (population progression curve) and a random-effect (individual variability).

Gaussian Processes Matrix Completion

Learning to Run challenge: Synthesizing physiologically accurate motion using deep reinforcement learning

no code implementations31 Mar 2018 Łukasz Kidziński, Sharada P. Mohanty, Carmichael Ong, Jennifer L. Hicks, Sean F. Carroll, Sergey Levine, Marcel Salathé, Scott L. Delp

Synthesizing physiologically-accurate human movement in a variety of conditions can help practitioners plan surgeries, design experiments, or prototype assistive devices in simulated environments, reducing time and costs and improving treatment outcomes.

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