Latent Gaussian process with composite likelihoods for data-driven disease stratification. - Siddharth Ramchandran; Miika Koskinen; Harri Lähdesmäki (CoRR, 2019)

Longitudinal Variational Autoencoder. - Siddharth Ramchandran; Gleb Tikhonov; Miika Koskinen; Harri Lähdesmäki (CoRR, 2020)

Latent Gaussian process with composite likelihoods and numerical quadrature. - Siddharth Ramchandran; Miika Koskinen; Harri Lähdesmäki (AISTATS, 2021)

Longitudinal Variational Autoencoder. - Siddharth Ramchandran; Gleb Tikhonov; Kalle Kujanpää; Miika Koskinen; Harri Lähdesmäki (AISTATS, 2021)

A Variational Autoencoder for Heterogeneous Temporal and Longitudinal Data. - Mine Ögretir; Siddharth Ramchandran; Dimitrios Papatheodorou; Harri Lähdesmäki (ICMLA, 2022)

Learning conditional variational autoencoders with missing covariates. - Siddharth Ramchandran; Gleb Tikhonov; Otto Lönnroth; Pekka Tiikkainen; Harri Lähdesmäki (Pattern Recognit., 2024)

High-Dimensional Bayesian Optimisation with Gaussian Process Prior Variational Autoencoders. - Siddharth Ramchandran; Manuel Haussmann; Harri Lähdesmäki (ICLR, 2025)