| 2025 | AISTATS | Noise-Aware Differentially Private Variational Inference. | Talal Alrawajfeh, Joonas Jlk, Antti Honkela |
| 2025 | AISTATS | A Bias-Variance Decomposition for Ensembles over Multiple Synthetic Datasets. | Ossi Ris, Antti Honkela |
| 2024 | ICDAR | Privacy-Aware Document Visual Question Answering. | Rubn Tito, Khanh Nguyen, Marlon Tobaben, Raouf Kerkouche, Mohamed Ali Souibgui, Kangsoo Jung, Joonas Jlk, Vincent Poulain D'Andecy, Aurlie Joseph, Lei Kang, Ernest Valveny, Antti Honkela, Mario Fritz, Dimosthenis Karatzas |
| 2024 | ICML | Subsampling is not Magic: Why Large Batch Sizes Work for Differentially Private Stochastic Optimisation. | Ossi Ris, Joonas Jlk, Antti Honkela |
| 2023 | AISTATS | Noise-Aware Statistical Inference with Differentially Private Synthetic Data. | Ossi Ris, Joonas Jlk, Samuel Kaski, Antti Honkela |
| 2023 | ICLR | Individual Privacy Accounting with Gaussian Differential Privacy. | Antti Koskela, Marlon Tobaben, Antti Honkela |
| 2021 | AISTATS | Tight Differential Privacy for Discrete-Valued Mechanisms and for the Subsampled Gaussian Mechanism Using FFT. | Antti Koskela, Joonas Jlk, Lukas Prediger, Antti Honkela |
| 2021 | ICML | Differentially Private Bayesian Inference for Generalized Linear Models. | Tejas D. Kulkarni, Joonas Jlk, Antti Koskela, Samuel Kaski, Antti Honkela |
| 2020 | AISTATS | Learning Rate Adaptation for Differentially Private Learning. | Antti Koskela, Antti Honkela |
| 2020 | AISTATS | Computing Tight Differential Privacy Guarantees Using FFT. | Antti Koskela, Joonas Jlk, Antti Honkela |
| 2017 | UAI | Differentially Private Variational Inference for Non-conjugate Models. | Joonas Jlk, Antti Honkela, Onur Dikmen |
| 2015 | ESANN | Gaussian process modelling of multiple short time series. | Hande Topa, Antti Honkela |
| 2009 | IJCNN | A gradient-based algorithm competitive with variational Bayesian EM for mixture of Gaussians. | Mikael Kuusela, Tapani Raiko, Antti Honkela, Juha Karhunen |
| 2008 | ECCB | Gaussian process modelling of latent chemical species: applications to inferring transcription factor activities. | Pei Gao, Antti Honkela, Magnus Rattray, Neil D. Lawrence |
| 2007 | ESANN | Agglomerative Independent Variable Group Analysis. | Antti Honkela, Jeremias Sepp, Esa Alhoniemi |
| 2007 | ICONIP | Natural Conjugate Gradient in Variational Inference. | Antti Honkela, Matti Tornio, Tapani Raiko, Juha Karhunen |
| 2005 | ESANN | Empirical evidence of the linear nature of magnetoencephalograms. | Antti Honkela, Tomas stman, Ricardo Vigrio |
| 2005 | UAI | Bayes Blocks: An Implementation of the Variational Bayesian Building Blocks Framework. | Markus Harva, Tapani Raiko, Antti Honkela, Harri Valpola, Juha Karhunen |
| 2004 | IJCNN | Approximating nonlinear transformations of probability distributions for nonlinear independent component analysis. | Antti Honkela |