| 2026 | AAAI | More than Irrational: Modeling Belief-Biased Agents. | Yifan Zhu, Sammie Katt, Samuel Kaski |
| 2025 | AISTATS | Cost-aware simulation-based inference. | Ayush Bharti, Daolang Huang, Samuel Kaski, Franois-Xavier Briol |
| 2025 | AISTATS | Amortized Probabilistic Conditioning for Optimization, Simulation and Inference. | Paul Edmund Chang, Nasrulloh Ratu Bagus Satrio Loka, Daolang Huang, Ulpu Remes, Samuel Kaski, Luigi Acerbi |
| 2025 | AISTATS | What Ails Generative Structure-based Drug Design: Expressivity is Too Little or Too Much? | Rafal Karczewski, Samuel Kaski, Markus Heinonen, Vikas K. Garg |
| 2025 | CVPR | From Alexnet to Transformers: Measuring the Non-linearity of Deep Neural Networks with Affine Optimal Transport. | Quentin Bouniot, Ievgen Redko, Anton Mallasto, Charlotte Laclau, Oliver Struckmeier, Karol Arndt, Markus Heinonen, Ville Kyrki, Samuel Kaski |
| 2025 | ICLR | When do GFlowNets learn the right distribution? | Tiago da Silva, Rodrigo Barreto Alves, Eliezer de Souza da Silva, Amauri H. Souza, Vikas Garg, Samuel Kaski, Diego Mesquita |
| 2025 | ICLR | Generalization and Distributed Learning of GFlowNets. | Tiago Silva, Amauri H. Souza, Omar Rivasplata, Vikas Garg, Samuel Kaski, Diego Mesquita |
| 2025 | ICLR | PABBO: Preferential Amortized Black-Box Optimization. | Xinyu Zhang, Daolang Huang, Samuel Kaski, Julien Martinelli |
| 2025 | ICRA | DroneDiffusion: Robust Quadrotor Dynamics Learning with Diffusion Models. | Avirup Das, Rishabh Dev Yadav, Sihao Sun, Mingfei Sun, Samuel Kaski, Wei Pan |
| 2025 | UAI | Proxy-informed Bayesian transfer learning with unknown sources. | Sabina J. Sloman, Julien Martinelli, Samuel Kaski |
| 2025 | UAI | Privacy-Preserving Neural Processes for Probabilistic User Modeling. | Amir Sonee, Haripriya Harikumar, Alex Hmlinen, Lukas Prediger, Samuel Kaski |
| 2024 | AISTATS | Estimating treatment effects from single-arm trials via latent-variable modeling. | Manuel Haussmann, Tran Minh Son Le, Viivi Halla-aho, Samu Kurki, Jussi Leinonen, Miika Koskinen, Samuel Kaski, Harri Lhdesmki |
| 2024 | ICANN | Deep Bayesian Experimental Design for Drug Discovery. | Muhammad Arslan Masood, Tianyu Cui, Samuel Kaski |
| 2024 | ICANN | Balancing Imbalanced Toxicity Models: Using MolBERT with Focal Loss. | Muhammad Arslan Masood, Samuel Kaski, Hugo Ceulemans, Dorota Herman, Markus Heinonen |
| 2024 | ICANN | Towards Interpretable Models of Chemist Preferences for Human-in-the-Loop Assisted Drug Discovery. | Yasmine Nahal, Markus Heinonen, Mikhail Kabeshov, Jon Paul Janet, Eva Nittinger, Ola Engkvist, Samuel Kaski |
| 2024 | ICLR | Input-gradient space particle inference for neural network ensembles. | Trung Q. Trinh, Markus Heinonen, Luigi Acerbi, Samuel Kaski |
| 2024 | ICML | Embarrassingly Parallel GFlowNets. | Tiago da Silva, Luiz Max Carvalho, Amauri H. Souza, Samuel Kaski, Diego Mesquita |
| 2024 | ICML | Open Ad Hoc Teamwork with Cooperative Game Theory. | Jianhong Wang, Yang Li, Yuan Zhang, Wei Pan, Samuel Kaski |
| 2024 | UAI | Learning relevant contextual variables within Bayesian optimization. | Julien Martinelli, Ayush Bharti, Armi Tiihonen, S. T. John, Louis Filstroff, Sabina J. Sloman, Patrick Rinke, Samuel Kaski |
| 2024 | UAI | Bayesian Active Learning in the Presence of Nuisance Parameters. | Sabina J. Sloman, Ayush Bharti, Julien Martinelli, Samuel Kaski |
| 2023 | AAAI | Teaching to Learn: Sequential Teaching of Learners with Internal States. | Mustafa Mert elikok, Pierre-Alexandre Murena, Samuel Kaski |
| 2023 | AAAI | Zero-Shot Assistance in Sequential Decision Problems. | Sebastiaan De Peuter, Samuel Kaski |
| 2023 | AISTATS | Multi-Fidelity Bayesian Optimization with Unreliable Information Sources. | Petrus Mikkola, Julien Martinelli, Louis Filstroff, Samuel Kaski |
| 2023 | AISTATS | Noise-Aware Statistical Inference with Differentially Private Synthetic Data. | Ossi Ris, Joonas Jlk, Samuel Kaski, Antti Honkela |
| 2023 | ICML | Optimally-weighted Estimators of the Maximum Mean Discrepancy for Likelihood-Free Inference. | Ayush Bharti, Masha Naslidnyk, Oscar Key, Samuel Kaski, Franois-Xavier Briol |
| 2023 | IROS | Imitation-Guided Multimodal Policy Generation from Behaviourally Diverse Demonstrations. | Shibei Zhu, Rituraj Kaushik, Samuel Kaski, Ville Kyrki |
| 2023 | UAI | Differentiable user models. | Alex Hmlinen, Mustafa Mert elikok, Samuel Kaski |
| 2022 | AISTATS | Non-separable Spatio-temporal Graph Kernels via SPDEs. | Alexander Nikitin, S. T. John, Arno Solin, Samuel Kaski |
| 2022 | AISTATS | Parallel MCMC Without Embarrassing Failures. | Daniel Augusto de Souza, Diego Mesquita, Samuel Kaski, Luigi Acerbi |
| 2022 | CHI | EntityBot: Actionable Entity Recommendations for Everyday Digital Task. | Tung Thanh Vuong, Salvatore Andolina, Giulio Jacucci, Pedram Daee, Khalil Klouche, Mats Sjberg, Tuukka Ruotsalo, Samuel Kaski |
| 2022 | ICML | Approximate Bayesian Computation with Domain Expert in the Loop. | Ayush Bharti, Louis Filstroff, Samuel Kaski |
| 2022 | ICML | Tackling covariate shift with node-based Bayesian neural networks. | Trung Q. Trinh, Markus Heinonen, Luigi Acerbi, Samuel Kaski |
| 2022 | KDD | Human-in-the-Loop Large-Scale Predictive Maintenance of Workstations. | Alexander Nikitin, Samuel Kaski |
| 2022 | UAI | Variational multiple shooting for Bayesian ODEs with Gaussian processes. | Pashupati Hegde, agatay Yildiz, Harri Lhdesmki, Samuel Kaski, Markus Heinonen |
| 2021 | ACML | Bayesian Inference for Optimal Transport with Stochastic Cost. | Anton Mallasto, Markus Heinonen, Samuel Kaski |
| 2021 | ICANN | Learning to Assist Agents by Observing Them. | Antti Keurulainen, Isak Westerlund, Samuel Kaski, Alexander Ilin |
| 2021 | ICANN | Behaviour-Conditioned Policies for Cooperative Reinforcement Learning Tasks. | Antti Keurulainen, Isak Westerlund, Ariel Kwiatkowski, Samuel Kaski, Alexander Ilin |
| 2021 | ICML | Differentially Private Bayesian Inference for Generalized Linear Models. | Tejas D. Kulkarni, Joonas Jlk, Antti Koskela, Samuel Kaski, Antti Honkela |
| 2021 | IUI | Decision Rule Elicitation for Domain Adaptation. | Alexander Nikitin, Samuel Kaski |
| 2021 | RecSys | EntityBot: Supporting Everyday Digital Tasks with Entity Recommendations. | Vuong Thanh Tung, Salvatore Andolina, Giulio Jacucci, Pedram Daee, Khalil Klouche, Mats Sjberg, Tuukka Ruotsalo, Samuel Kaski |
| 2021 | UAI | Federated stochastic gradient Langevin dynamics. | Khaoula el Mekkaoui, Diego Mesquita, Paul Blomstedt, Samuel Kaski |
| 2020 | AAAI | Scalable Probabilistic Matrix Factorization with Graph-Based Priors. | Jonathan Strahl, Jaakko Peltonen, Hiroshi Mamitsuka, Samuel Kaski |
| 2020 | AISTATS | Learning spectrograms with convolutional spectral kernels. | Zheyang Shen, Markus Heinonen, Samuel Kaski |
| 2020 | ECAI | Learning Global Pairwise Interactions with Bayesian Neural Networks. | Tianyu Cui, Pekka Marttinen, Samuel Kaski |
| 2020 | ICCS | A High-Performance Implementation of Bayesian Matrix Factorization with Limited Communication. | Tom Vander Aa, Xiangju Qin, Paul Blomstedt, Roel Wuyts, Wilfried Verachtert, Samuel Kaski |
| 2020 | ICML | Projective Preferential Bayesian Optimization. | Petrus Mikkola, Milica Todorovic, Jari Jrvi, Patrick Rinke, Samuel Kaski |
| 2019 | AISTATS | Deep learning with differential Gaussian process flows. | Pashupati Hegde, Markus Heinonen, Harri Lhdesmki, Samuel Kaski |
| 2019 | AISTATS | Harmonizable mixture kernels with variational Fourier features. | Zheyang Shen, Markus Heinonen, Samuel Kaski |
| 2019 | ICML | Active Learning for Decision-Making from Imbalanced Observational Data. | Iiris Sundin, Peter Schulam, Eero Siivola, Aki Vehtari, Suchi Saria, Samuel Kaski |
| 2019 | IJCAI | Human-in-the-loop Active Covariance Learning for Improving Prediction in Small Data Sets. | Homayun Afrabandpey, Tomi Peltola, Samuel Kaski |
| 2019 | IJCAI | Scalable Bayesian Non-linear Matrix Completion. | Xiangju Qin, Paul Blomstedt, Samuel Kaski |
| 2019 | IJCNN | Learning Image Relations with Contrast Association Networks. | Yao Lu, Zhirong Yang, Juho Kannala, Samuel Kaski |
| 2019 | UAI | Embarrassingly Parallel MCMC using Deep Invertible Transformations. | Diego Mesquita, Paul Blomstedt, Samuel Kaski |
| 2018 | CogSci | Probabilistic Formulation of the Take The Best Heuristic. | Tomi Peltola, Jussi Jokinen, Samuel Kaski |
| 2018 | IUI | User Modelling for Avoiding Overfitting in Interactive Knowledge Elicitation for Prediction. | Pedram Daee, Tomi Peltola, Aki Vehtari, Samuel Kaski |
| 2018 | UAI | Variational zero-inflated Gaussian processes with sparse kernels. | Pashupati Hegde, Markus Heinonen, Samuel Kaski |
| 2017 | ACML | A Mutually-Dependent Hadamard Kernel for Modelling Latent Variable Couplings. | Sami Remes, Markus Heinonen, Samuel Kaski |
| 2017 | AISTATS | Localized Lasso for High-Dimensional Regression. | Makoto Yamada, Koh Takeuchi, Tomoharu Iwata, John Shawe-Taylor, Samuel Kaski |
| 2017 | CHI | Inferring Cognitive Models from Data using Approximate Bayesian Computation. | Antti Kangasrsi, Kumaripaba Athukorala, Andrew Howes, Jukka Corander, Samuel Kaski, Antti Oulasvirta |
| 2017 | IUI | BCI for Physiological Text Annotation. | Oswald Barral, Ilkka Kosunen, Tuukka Ruotsalo, Michiel M. A. Spap, Manuel J. A. Eugster, Niklas Ravaja, Samuel Kaski, Giulio Jacucci |
| 2017 | IUI | Interactive Elicitation of Knowledge on Feature Relevance Improves Predictions in Small Data Sets. | Luana Micallef, Iiris Sundin, Pekka Marttinen, Muhammad Ammad-ud-din, Tomi Peltola, Marta Soare, Giulio Jacucci, Samuel Kaski |
| 2017 | KDD | Convex Factorization Machine for Toxicogenomics Prediction. | Makoto Yamada, Wenzhao Lian, Amit Goyal, Jianhui Chen, Kishan Wimalawarne, Suleiman A. Khan, Samuel Kaski, Hiroshi Mamitsuka, Yi Chang |
| 2016 | AISTATS | Non-Stationary Gaussian Process Regression with Hamiltonian Monte Carlo. | Markus Heinonen, Henrik Mannerstrm, Juho Rousu, Samuel Kaski, Harri Lhdesmki |
| 2016 | ICASSP | Visualizations relevant to the user by multi-view latent variable factorization. | Seppo Virtanen, Homayun Afrabandpey, Samuel Kaski |
| 2016 | ICMLA | Regression with n→1 by Expert Knowledge Elicitation. | Marta Soare, Muhammad Ammad-ud-din, Samuel Kaski |
| 2016 | IJCAI | A Robust Convex Formulation for Ensemble Clustering. | Junning Gao, Makoto Yamada, Samuel Kaski, Hiroshi Mamitsuka, Shanfeng Zhu |
| 2016 | ISVC | Preliminary Studies on Personalized Preference Prediction from Gaze in Comparing Visualizations. | Hamed Rezazadegan Tavakoli, Hanieh Poostchi, Jaakko Peltonen, Jorma Laaksonen, Samuel Kaski |
| 2016 | IUI | Interactive Intent Modeling from Multiple Feedback Domains. | Pedram Daee, Joel Pyykk, Dorota Glowacka, Samuel Kaski |
| 2016 | IUI | Dealing with Concept Drift in Exploratory Search: An Interactive Bayesian Approach. | Antti Kangasrsi, Yi Chen, Dorota Glowacka, Samuel Kaski |
| 2015 | AISTATS | Majorization-Minimization for Manifold Embedding. | Zhirong Yang, Jaakko Peltonen, Samuel Kaski |
| 2015 | IUI | Exploring Peripheral Physiology as a Predictor of Perceived Relevance in Information Retrieval. | Oswald Barral, Manuel J. A. Eugster, Tuukka Ruotsalo, Michiel M. A. Spap, Ilkka Kosunen, Niklas Ravaja, Samuel Kaski, Giulio Jacucci |
| 2015 | IUI | Improving Controllability and Predictability of Interactive Recommendation Interfaces for Exploratory Search. | Antti Kangasrsi, Dorota Glowacka, Samuel Kaski |
| 2015 | SIGIR | SciNet: Interactive Intent Modeling for Information Discovery. | Tuukka Ruotsalo, Jaakko Peltonen, Manuel J. A. Eugster, Dorota Glowacka, Aki Reijonen, Giulio Jacucci, Petri Myllymki, Samuel Kaski |
| 2014 | AAAI | Optimal Neighborhood Preserving Visualization by Maximum Satisfiability. | Kerstin Bunte, Matti Jrvisalo, Jeremias Berg, Petri Myllymki, Jaakko Peltonen, Samuel Kaski |
| 2014 | AISTATS | Preface. | Samuel Kaski, Jukka Corander |
| 2014 | CHI | Intentradar: search user interface that anticipates user's search intents. | Tuukka Ruotsalo, Jaakko Peltonen, Manuel J. A. Eugster, Dorota Glowacka, Aki Reijonen, Giulio Jacucci, Petri Myllymki, Samuel Kaski |
| 2014 | ICML | Optimization Equivalence of Divergences Improves Neighbor Embedding. | Zhirong Yang, Jaakko Peltonen, Samuel Kaski |
| 2014 | ICONIP | Retrieval of Experiments by Efficient Comparison of Marginal Likelihoods. | Sohan Seth, John Shawe-Taylor, Samuel Kaski |
| 2014 | SIGIR | Predicting term-relevance from brain signals. | Manuel J. A. Eugster, Tuukka Ruotsalo, Michiel M. A. Spap, Ilkka Kosunen, Oswald Barral, Niklas Ravaja, Giulio Jacucci, Samuel Kaski |
| 2013 | CIKM | Directing exploratory search with interactive intent modeling. | Tuukka Ruotsalo, Jaakko Peltonen, Manuel J. A. Eugster, Dorota Glowacka, Ksenia Konyushkova, Kumaripaba Athukorala, Ilkka Kosunen, Aki Reijonen, Petri Myllymki, Giulio Jacucci, Samuel Kaski |
| 2013 | ICMI | Adaptive timeline interface to personal history data. | Antti Ajanki, Markus Koskela, Jorma Laaksonen, Samuel Kaski |
| 2013 | ICML | Kernelized Bayesian Matrix Factorization. | Mehmet Gnen, Suleiman A. Khan, Samuel Kaski |
| 2013 | ICML | Scalable Optimization of Neighbor Embedding for Visualization. | Zhirong Yang, Jaakko Peltonen, Samuel Kaski |
| 2013 | IUI | Directing exploratory search: reinforcement learning from user interactions with keywords. | Dorota Glowacka, Tuukka Ruotsalo, Ksenia Konyushkova, Kumaripaba Athukorala, Samuel Kaski, Giulio Jacucci |
| 2013 | IUI | SciNet: a system for browsing scientific literature through keyword manipulation. | Dorota Glowacka, Tuukka Ruotsalo, Ksenia Konyushkova, Kumaripaba Athukorala, Samuel Kaski, Giulio Jacucci |
| 2012 | ESANN | Sparse Nonparametric Topic Model for Transfer Learning. | Ali Faisal, Jussi Gillberg, Jaakko Peltonen, Gayle Leen, Samuel Kaski |
| 2012 | ICMI | Learning relevance from natural eye movements in pervasive interfaces. | Melih Kandemir, Samuel Kaski |
| 2011 | ICANN | Probabilistic Proactive Timeline Browser. | Antti Ajanki, Samuel Kaski |
| 2011 | ICANN | Cross-Species Translation of Multi-way Biomarkers. | Tommi Suvitaival, Ilkka Huopaniemi, Matej Oresic, Samuel Kaski |
| 2011 | ICML | Bayesian CCA via Group Sparsity. | Seppo Virtanen, Arto Klami, Samuel Kaski |
| 2011 | ICONIP | Multitask Learning Using Regularized Multiple Kernel Learning. | Mehmet Gnen, Melih Kandemir, Samuel Kaski |
| 2010 | ETRA | Inferring object relevance from gaze in dynamic scenes. | Melih Kandemir, Veli-Matti Saarinen, Samuel Kaski |
| 2010 | ICASSP | An information retrieval perspective on visualization of gene expression data with ontological annotation. | Jaakko Peltonen, Helena Aidos, Nils Gehlenborg, Alvis Brazma, Samuel Kaski |
| 2010 | RECOMB | Hierarchical Generative Biclustering for MicroRNA Expression Analysis. | Jos Caldas, Samuel Kaski |
| 2010 | UAI | Bayesian exponential family projections for coupled data sources. | Arto Klami, Seppo Virtanen, Samuel Kaski |
| 2009 | ACML | Automatic Choice of Control Measurements. | Gayle Leen, David R. Hardoon, Samuel Kaski |
| 2009 | ICASSP | Supervised nonlinear dimensionality reduction by Neighbor Retrieval. | Jaakko Peltonen, Helena Aidos, Samuel Kaski |
| 2009 | ICASSP | Fast dependent components for fMRI analysis. | Eerika Savia, Arto Klami, Samuel Kaski |
| 2009 | ICASSP | Using dependencies to pair samples for multi-view learning. | Abhishek Tripathi, Arto Klami, Samuel Kaski |
| 2009 | ICMI | GaZIR: gaze-based zooming interface for image retrieval. | Lszl Kozma, Arto Klami, Samuel Kaski |
| 2009 | IDA | Bayesian Solutions to the Label Switching Problem. | Kai Puolamki, Samuel Kaski |
| 2009 | IDA | Two-Way Grouping by One-Way Topic Models. | Eerika Savia, Kai Puolamki, Samuel Kaski |
| 2008 | ICML | Learning to learn implicit queries from gaze patterns. | Kai Puolamki, Antti Ajanki, Samuel Kaski |
| 2008 | ICONIP | An Analysis of Generalization Error in Relevant Subtask Learning. | Keisuke Yamazaki, Samuel Kaski |
| 2007 | ESANN | Functional elements and networks in fMRI. | Jarkko Ylipaavalniemi, Eerika Savia, Ricardo Vigrio, Samuel Kaski |
| 2007 | ICML | Local dependent components. | Arto Klami, Samuel Kaski |
| 2006 | ESANN | Neural networks and machine learning in bioinformatics - theory and applications. | Udo Seiffert, Barbara Hammer, Samuel Kaski, Thomas Villmann |
| 2006 | ESANN | Visualizing gene interaction graphs with local multidimensional scaling. | Jarkko Venna, Samuel Kaski |
| 2005 | ICANN | Implicit Relevance Feedback from Eye Movements. | Jarkko Salojrvi, Kai Puolamki, Samuel Kaski |
| 2005 | ICASSP | Non-parametric dependent components. | Arto Klami, Samuel Kaski |
| 2005 | ICML | Expectation maximization algorithms for conditional likelihoods. | Jarkko Salojrvi, Kai Puolamki, Samuel Kaski |
| 2005 | SIGIR | Combining eye movements and collaborative filtering for proactive information retrieval. | Kai Puolamki, Jarkko Salojrvi, Eerika Savia, Jaana Simola, Samuel Kaski |
| 2005 | UAI | Two-Way Latent Grouping Model for User Preference Prediction. | Eerika Savia, Kai Puolamki, Janne Sinkkonen, Samuel Kaski |
| 2004 | CIBCB | Grouping and visualizing human endogenous retroviruses by bootstrapping median self-organizing maps. | Merja Oja, Gran O. Sperber, Jonas Blomberg, Samuel Kaski |
| 2004 | ICML | Sequential information bottleneck for finite data. | Jaakko Peltonen, Janne Sinkkonen, Samuel Kaski |
| 2004 | IJCNN | On text-based estimation of document relevance. | Eerika Savia, Samuel Kaski, Ville H. Tuulos, Petri Myllymki |
| 2004 | IDEAL | Exploring Dependencies Between Yeast Stress Genes and Their Regulators. | Janne Nikkil, Christophe Roos, Samuel Kaski |
| 2003 | ICML | Informative Discriminant Analysis. | Samuel Kaski, Jaakko Peltonen |
| 2002 | ICANN | Learning More Accurate Metrics for Self-Organizing Maps. | Jaakko Peltonen, Arto Klami, Samuel Kaski |
| 2001 | DaWaK | Data Visualization and Analysis with Self-Organizing Maps in Learning Metrics. | Samuel Kaski, Janne Sinkkonen, Jaakko Peltonen |
| 2001 | ICANN | Clustering Gene Expression Data by Mutual Information with Gene Function. | Samuel Kaski, Janne Sinkkonen, Janne Nikkil |
| 2001 | ICANN | Neighborhood Preservation in Nonlinear Projection Methods: An Experimental Study. | Jarkko Venna, Samuel Kaski |
| 2000 | IJCNN | Metrics that Learn Relevance. | Samuel Kaski, Janne Sinkkonen |
| 2000 | IDEAL | Clustering by Similarity in an Auxiliary Space. | Janne Sinkkonen, Samuel Kaski |
| 1998 | ESANN | Methods for interpreting a self-organized map in data analysis. | Samuel Kaski, Janne Nikkil, Teuvo Kohonen |
| 1996 | ICANN | Comparing Self-Organizing Maps. | Samuel Kaski, Krista Lagus |
| 1996 | ICANN | Very Large Two-Level SOM for the Browsing of Newsgroups. | Teuvo Kohonen, Samuel Kaski, Krista Lagus, Timo Honkela |
| 1996 | ICIP | Compression of vector quantization code sequences based on code frequencies and spatial redundancies. | Jari Kangas, Samuel Kaski |
| 1996 | KDD | Self-Organizing Maps of Document Collections: A New Approach to Interactive Exploration. | Krista Lagus, Timo Honkela, Samuel Kaski, Teuvo Kohonen |
| 1992 | Interspeech | Using phoneme group specific LVQ-codebooks with HMMs. | Pekka Utela, Samuel Kaski, Kari Torkkola |