Kaspar Märtens

According to our database, Kaspar Märtens authored at least 9 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Disentangling shared and private latent factors in multimodal Variational Autoencoders.

Kaspar Märtens, Christopher Yau

CoRR, 2024

2023

Rarity: discovering rare cell populations from single-cell imaging data.

Kaspar Märtens, Michele Bortolomeazzi, Lucia Montorsi, Jo Spencer, Francesca D. Ciccarelli, Christopher Yau

Bioinform., December, 2023

Deep Stochastic Processes via Functional Markov Transition Operators.

Jin Xu, Emilien Dupont, Kaspar Märtens, Thomas Rainforth, Yee Whye Teh

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2020

BasisVAE: Translation-invariant feature-level clustering with Variational Autoencoders.

Kaspar Märtens, Christopher Yau

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

Neural Decomposition: Functional ANOVA with Variational Autoencoders.

Kaspar Märtens, Christopher Yau

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Decomposing feature-level variation with Covariate Gaussian Process Latent Variable Models.

Kaspar Märtens, Kieran R. Campbell, Christopher Yau

Proceedings of the 36th International Conference on Machine Learning, 2019

Augmented Ensemble MCMC sampling in Factorial Hidden Markov Models.

Kaspar Märtens, Michalis K. Titsias, Christopher Yau

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Covariate Gaussian Process Latent Variable Models.

Kaspar Märtens, Kieran R. Campbell, Christopher Yau

CoRR, 2018

2016

seqlm: an MDL based method for identifying differentially methylated regions in high density methylation array data.

Raivo Kolde, Kaspar Märtens, Kaie Lokk, Sven Laur, Jaak Vilo

Bioinform., 2016