Samuel Kaski

467 papers A* 49A 47B 16C 12Misc 5Journal 275Unranked 56
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Theory of Random Graph Shift in Truncated-Spectrum vRKHS.
CoRR
Zhang Wan, Tingting Mu, Samuel Kaski
2026 J jnl
Bayesian Conformal Prediction as a Decision Risk Problem.
CoRR
Fanyi Wu, Veronika Lohmanova, Samuel Kaski, Michele Caprio
2026 J jnl
Bayesian Meta-Learning with Expert Feedback for Task-Shift Adaptation through Causal Embeddings.
CoRR
Lotta Mäkinen, Jorge Loría, Samuel Kaski
2026 J jnl
Gradient Regularized Natural Gradients.
CoRR
Satya Prakash Dash, Hossein Abdi, Wei Pan, Samuel Kaski, Mingfei Sun
2026 J jnl
Mixture-Model Preference Learning for Many-Objective Bayesian Optimization.
CoRR
Manisha Dubey, Sebastiaan De Peuter, Wanrong Wang, Samuel Kaski
2026 A* conf
More than Irrational: Modeling Belief-Biased Agents.
AAAI
Yifan Zhu, Sammie Katt, Samuel Kaski
2026 J jnl
Point-Identification of a Robust Predictor Under Latent Shift with Imperfect Proxies.
CoRR
Zahra RahimiNasab, Reza Soumi, Arto Klami, Samuel Kaski
2026 J jnl
Rank-1 Approximation of Inverse Fisher for Natural Policy Gradients in Deep Reinforcement Learning.
CoRR
Yingxiao Huo, Satya Prakash Dash, Radu Stoican, Samuel Kaski, Mingfei Sun
2026 J jnl
Rank-1 Approximation of Inverse Fisher for Natural Policy Gradients in Deep Reinforcement Learning.
Trans. Mach. Learn. Res.
Yingxiao Huo, Satya Prakash Dash, Radu Stoican, Samuel Kaski, Mingfei Sun
2025 J jnl
A Principle of Targeted Intervention for Multi-Agent Reinforcement Learning.
CoRR
Anjie Liu, Jianhong Wang, Samuel Kaski, Jun Wang, Mengyue Yang
2025 J jnl
ALINE: Joint Amortization for Bayesian Inference and Active Data Acquisition.
CoRR
Daolang Huang, Xinyi Wen, Ayush Bharti, Samuel Kaski, Luigi Acerbi
2025 J jnl
ARCADE: Adaptive Robot Control with Online Changepoint-Aware Bayesian Dynamics Learning.
CoRR
Rishabh Dev Yadav, Avirup Das, Hongyu Song, Samuel Kaski, Wei Pan
2025 A conf
Amortized Probabilistic Conditioning for Optimization, Simulation and Inference.
AISTATS
Paul Edmund Chang, Nasrulloh Ratu Bagus Satrio Loka, Daolang Huang, Ulpu Remes, Samuel Kaski, Luigi Acerbi
2025 J jnl
An Interactive Framework for Finding the Optimal Trade-off in Differential Privacy.
CoRR
Yaohong Yang, Aki Rehn, Sammie Katt, Antti Honkela, Samuel Kaski
2025 J jnl
Attentive Convolution: Unifying the Expressivity of Self-Attention with Convolutional Efficiency.
CoRR
Hao Yu, Haoyu Chen, Yan Jiang, Wei Peng, Zhaodong Sun, Samuel Kaski, Guoying Zhao
2025 J jnl
Concept-based Adversarial Attack: a Probabilistic Perspective.
CoRR
Andi Zhang, Xuan Ding, Steven McDonagh, Samuel Kaski
2025 A conf
Cost-aware simulation-based inference.
AISTATS
Ayush Bharti, Daolang Huang, Samuel Kaski, François-Xavier Briol
2025 A* conf
DroneDiffusion: Robust Quadrotor Dynamics Learning with Diffusion Models.
ICRA
Avirup Das, Rishabh Dev Yadav, Sihao Sun, Mingfei Sun, Samuel Kaski, Wei Pan
2025 J jnl
E-GuARD: expert-guided augmentation for the robust detection of compounds interfering with biological assays.
J. Cheminformatics
Vincenzo Palmacci, Yasmine Nahal, Matthias Welsch, Ola Engkvist, Samuel Kaski, Johannes Kirchmair
2025 J jnl
Efficient Autoregressive Inference for Transformer Probabilistic Models.
CoRR
Conor Hassan, Nasrulloh Loka, Cen-You Li, Daolang Huang, Paul E. Chang, Yang Yang, Francesco Silvestrin, Samuel Kaski, Luigi Acerbi
2025 J jnl
Epistemic Errors of Imperfect Multitask Learners When Distributions Shift.
CoRR
Sabina J. Sloman, Michele Caprio, Samuel Kaski
2025 A* conf
From Alexnet to Transformers: Measuring the Non-linearity of Deep Neural Networks with Affine Optimal Transport.
CVPR
Quentin Bouniot, Ievgen Redko, Anton Mallasto, Charlotte Laclau, Oliver Struckmeier, Karol Arndt, Markus Heinonen, Ville Kyrki, Samuel Kaski
2025 J jnl
Generalization Analysis for Bayesian Optimal Experiment Design under Model Misspecification.
CoRR
Roubing Tang, Sabina J. Sloman, Samuel Kaski
2025 A* conf
Generalization and Distributed Learning of GFlowNets.
ICLR
Tiago Silva, Amauri H. Souza, Omar Rivasplata, Vikas Garg, Samuel Kaski, Diego Mesquita
2025 J jnl
In-Context Multi-Objective Optimization.
CoRR
Xinyu Zhang, Conor Hassan, Julien Martinelli, Daolang Huang, Samuel Kaski
2025 J jnl
Incorporating Expert Knowledge into Bayesian Causal Discovery of Mixtures of Directed Acyclic Graphs.
CoRR
Zachris Björkman, Jorge Loría, Sophie Wharrie, Samuel Kaski
2025 J jnl
Memento No More: Coaching AI Agents to Master Multiple Tasks via Hints Internalization.
CoRR
Minttu Alakuijala, Ya Gao, Georgy Ananov, Samuel Kaski, Pekka Marttinen, Alexander Ilin, Harri Valpola
2025 J jnl
Misspecification-robust likelihood-free inference in high dimensions.
Comput. Stat.
Owen Thomas, Raquel Sá-Leão, Hermínia de Lencastre, Samuel Kaski, Jukka Corander, Henri Pesonen
2025 J jnl
Molecular property prediction using pretrained-BERT and Bayesian active learning: a data-efficient approach to drug design.
J. Cheminformatics
Muhammad Arslan Masood, Samuel Kaski, Tianyu Cui
2025 J jnl
More Than Irrational: Modeling Belief-Biased Agents.
CoRR
Yifan Zhu, Sammie Katt, Samuel Kaski
2025 J jnl
Multi-target property prediction and optimization using latent spaces of generative model.
Mach. Learn. Sci. Technol.
Anirudh Jain, Markus Heinonen, Heikki Käsnänen, Julius Sipilä, Samuel Kaski
2025 A* conf
PABBO: Preferential Amortized Black-Box Optimization.
ICLR
Xinyu Zhang, Daolang Huang, Samuel Kaski, Julien Martinelli
2025 J jnl
PABBO: Preferential Amortized Black-Box Optimization.
CoRR
Xinyu Zhang, Daolang Huang, Samuel Kaski, Julien Martinelli
2025 A conf
Privacy-Preserving Neural Processes for Probabilistic User Modeling.
UAI
Amir Sonee, Haripriya Harikumar, Alex Hämäläinen, Lukas Prediger, Samuel Kaski
2025 A conf
Proxy-informed Bayesian transfer learning with unknown sources.
UAI
Sabina J. Sloman, Julien Martinelli, Samuel Kaski
2025 J jnl
Rethinking Inter-LoRA Orthogonality in Adapter Merging: Insights from Orthogonal Monte Carlo Dropout.
CoRR
Andi Zhang, Xuan Ding, Haofan Wang, Steven McDonagh, Samuel Kaski
2025 J jnl
Robust Experimental Design via Generalised Bayesian Inference.
CoRR
Yasir Zubayr Barlas, Sabina J. Sloman, Samuel Kaski
2025 J jnl
Robust and Computation-Aware Gaussian Processes.
CoRR
Marshal Arijona Sinaga, Julien Martinelli, Samuel Kaski
2025 J jnl
Shapley Machine: A Game-Theoretic Framework for N-Agent Ad Hoc Teamwork.
CoRR
Jianhong Wang, Yang Li, Samuel Kaski, Jonathan Lawry
2025 J jnl
Softly Constrained Denoisers for Diffusion Models.
CoRR
Victor M. Yeom-Song, Severi Rissanen, Arno Solin, Samuel Kaski, Mingfei Sun
2025 J jnl
Video-Language Critic: Transferable Reward Functions for Language-Conditioned Robotics.
Trans. Mach. Learn. Res.
Minttu Alakuijala, Reginald McLean, Isaac Woungang, Nariman Farsad, Samuel Kaski, Pekka Marttinen, Kai Yuan
2025 J jnl
Virtual Laboratories: Domain-agnostic workflows for research.
CoRR
Carlos Sevilla-Salcedo, Armi Tiihonen, Mahsa Asadi, Kevin Sebastian Luck, Aras Umut Erarslan, Arto Klami, Samuel Kaski
2025 J jnl
VitroBert: modeling DILI by pretraining BERT on in vitro data.
J. Cheminformatics
Muhammad Arslan Masood, Anamya Ajjolli Nagaraja, Katia Belaid, Natalie Mesens, Hugo Ceulemans, Samuel Kaski, Dorota Herman, Markus Heinonen
2025 A conf
What Ails Generative Structure-based Drug Design: Expressivity is Too Little or Too Much?
AISTATS
Rafal Karczewski, Samuel Kaski, Markus Heinonen, Vikas K. Garg
2025 A* conf
When do GFlowNets learn the right distribution?
ICLR
Tiago da Silva, Rodrigo Barreto Alves, Eliezer de Souza da Silva, Amauri H. Souza, Vikas Garg, Samuel Kaski, Diego Mesquita
2024 A* conf
Amortized Bayesian Experimental Design for Decision-Making.
NeurIPS
Daolang Huang, Yujia Guo, Luigi Acerbi, Samuel Kaski
2024 J jnl
Amortized Bayesian Experimental Design for Decision-Making.
CoRR
Daolang Huang, Yujia Guo, Luigi Acerbi, Samuel Kaski
2024 J jnl
Amortized Probabilistic Conditioning for Optimization, Simulation and Inference.
CoRR
Paul E. Chang, Nasrulloh R. B. S. Loka, Daolang Huang, Ulpu Remes, Samuel Kaski, Luigi Acerbi
2024 J jnl
Attaining Human's Desirable Outcomes in Human-AI Interaction via Structural Causal Games.
CoRR
Anjie Liu, Jianhong Wang, Haoxuan Li, Xu Chen, Jun Wang, Samuel Kaski, Mengyue Yang
2024 — conf
Balancing Imbalanced Toxicity Models: Using MolBERT with Focal Loss.
AIDD@ICANN
Muhammad Arslan Masood, Samuel Kaski, Hugo Ceulemans, Dorota Herman, Markus Heinonen
2024 A conf
Bayesian Active Learning in the Presence of Nuisance Parameters.
UAI
Sabina J. Sloman, Ayush Bharti, Julien Martinelli, Samuel Kaski
2024 J jnl
Collaborative learning from distributed data with differentially private synthetic data.
BMC Medical Informatics Decis. Mak.
Lukas Prediger, Joonas Jälkö, Antti Honkela, Samuel Kaski
2024 J jnl
Cooperative Bayesian Optimization for Imperfect Agents.
CoRR
Ali Khoshvishkaie, Petrus Mikkola, Pierre-Alexandre Murena, Samuel Kaski
2024 J jnl
Cost-aware Simulation-based Inference.
CoRR
Ayush Bharti, Daolang Huang, Samuel Kaski, François-Xavier Briol
2024 — conf
Deep Bayesian Experimental Design for Drug Discovery.
AIDD@ICANN
Muhammad Arslan Masood, Tianyu Cui, Samuel Kaski
2024 J jnl
DroneDiffusion: Robust Quadrotor Dynamics Learning with Diffusion Models.
CoRR
Avirup Das, Rishabh Dev Yadav, Sihao Sun, Mingfei Sun, Samuel Kaski, Wei Pan
2024 A* conf
Embarrassingly Parallel GFlowNets.
ICML
Tiago da Silva, Luiz Max Carvalho, Amauri H. Souza, Samuel Kaski, Diego Mesquita
2024 J jnl
Embarrassingly Parallel GFlowNets.
CoRR
Tiago da Silva, Luiz Max Carvalho, Amauri H. Souza, Samuel Kaski, Diego Mesquita
2024 J jnl
Entity Footprinting: Modeling Contextual User States via Digital Activity Monitoring.
ACM Trans. Interact. Intell. Syst.
Zeinab R. Yousefi, Vuong Thanh Tung, Marie Al-Ghossein, Tuukka Ruotsalo, Giulio Jacucci, Samuel Kaski
2024 A conf
Estimating treatment effects from single-arm trials via latent-variable modeling.
AISTATS
Manuel Haussmann, Tran Minh Son Le, Viivi Halla-aho, Samu Kurki, Jussi Leinonen, Miika Koskinen, Samuel Kaski, Harri Lähdesmäki
2024 J jnl
Heteroscedastic Preferential Bayesian Optimization with Informative Noise Distributions.
CoRR
Marshal Arijona Sinaga, Julien Martinelli, Vikas Garg, Samuel Kaski
2024 J jnl
Human-in-the-loop active learning for goal-oriented molecule generation.
J. Cheminformatics
Yasmine Nahal, Janosch Menke, Julien Martinelli, Markus Heinonen, Mikhail Kabeshov, Jon Paul Janet, Eva Nittinger, Ola Engkvist, Samuel Kaski
2024 J jnl
Identifying latent disease factors differently expressed in patient subgroups using group factor analysis.
CoRR
Fabio S. Ferreira, John Ashburner, Arabella Bouzigues, Chatrin Suksasilp, Lucy L. Russell, Phoebe H. Foster, Eve Ferry-Bolder, John C. van Swieten, Lize C. Jiskoot, Harro Seelaar, Raquel Sánchez-Valle, Robert Laforce, Caroline Graff, Daniela Galimberti, Rik Vandenberghe, Alexandre de Mendonça, Pietro Tiraboschi, Isabel Santana, Alexander Gerhard, Johannes Levin, Sandro Sorbi, Markus Otto, Florence Pasquier, Simon Ducharme, Chris R. Butler, Isabelle Le Ber, Elizabeth C. Finger, Maria C. Tartaglia, Mario Masellis, James B. Rowe, Matthis Synofzik, Fermin Moreno, Barbara Borroni, Samuel Kaski, Jonathan D. Rohrer, Janaina Mourão Miranda
2024 A* conf
Improving robustness to corruptions with multiplicative weight perturbations.
NeurIPS
Trung Q. Trinh, Markus Heinonen, Luigi Acerbi, Samuel Kaski
2024 J jnl
Improving robustness to corruptions with multiplicative weight perturbations.
CoRR
Trung Trinh, Markus Heinonen, Luigi Acerbi, Samuel Kaski
2024 J jnl
In-n-Out: Calibrating Graph Neural Networks for Link Prediction.
CoRR
Erik Nascimento, Diego Mesquita, Samuel Kaski, Amauri H. Souza
2024 A* conf
Input-gradient space particle inference for neural network ensembles.
ICLR
Trung Q. Trinh, Markus Heinonen, Luigi Acerbi, Samuel Kaski
2024 A conf
Learning relevant contextual variables within Bayesian optimization.
UAI
Julien Martinelli, Ayush Bharti, Armi Tiihonen, S. T. John, Louis Filstroff, Sabina J. Sloman, Patrick Rinke, Samuel Kaski
2024 J jnl
Likelihood-free inference in state-space models with unknown dynamics.
Stat. Comput.
Alexander Aushev, Thong Tran, Henri Pesonen, Andrew Howes, Samuel Kaski
2024 J jnl
LoKO: Low-Rank Kalman Optimizer for Online Fine-Tuning of Large Models.
CoRR
Hossein Abdi, Mingfei Sun, Andi Zhang, Samuel Kaski, Wei Pan
2024 J jnl
Metis: a python-based user interface to collect expert feedback for generative chemistry models.
J. Cheminformatics
Janosch Menke, Yasmine Nahal, Esben Jannik Bjerrum, Mikhail Kabeshov, Samuel Kaski, Ola Engkvist
2024 J jnl
Online Learning of Human Constraints from Feedback in Shared Autonomy.
CoRR
Shibei Zhu, Tran Nguyen Le, Samuel Kaski, Ville Kyrki
2024 A* conf
Open Ad Hoc Teamwork with Cooperative Game Theory.
ICML
Jianhong Wang, Yang Li, Yuan Zhang, Wei Pan, Samuel Kaski
2024 J jnl
Open Ad Hoc Teamwork with Cooperative Game Theory.
CoRR
Jianhong Wang, Yang Li, Yuan Zhang, Wei Pan, Samuel Kaski
2024 A* conf
Preference Learning of Latent Decision Utilities with a Human-like Model of Preferential Choice.
NeurIPS
Sebastiaan De Peuter, Shibei Zhu, Yujia Guo, Andrew Howes, Samuel Kaski
2024 J jnl
Proxy-informed Bayesian transfer learning with unknown sources.
CoRR
Sabina J. Sloman, Julien Martinelli, Samuel Kaski
2024 A* conf
TSGM: A Flexible Framework for Generative Modeling of Synthetic Time Series.
NeurIPS
Alexander Nikitin, Letizia Iannucci, Samuel Kaski
2024 J jnl
Targeted Active Learning for Bayesian Decision-Making.
Trans. Mach. Learn. Res.
Louis Filstroff, Iiris Sundin, Petrus Mikkola, Aleksei Tiulpin, Juuso Kylmäoja, Samuel Kaski
2024 — conf
Towards Interpretable Models of Chemist Preferences for Human-in-the-Loop Assisted Drug Discovery.
AIDD@ICANN
Yasmine Nahal, Markus Heinonen, Mikhail Kabeshov, Jon Paul Janet, Eva Nittinger, Ola Engkvist, Samuel Kaski
2024 J jnl
Towards modeling evolving longitudinal health trajectories with a transformer-based deep learning model.
CoRR
Hans Moen, Vishnu Raj, Andrius Vabalas, Markus Perola, Samuel Kaski, Andrea Ganna, Pekka Marttinen
2024 J jnl
Transformer Normalisation Layers and the Independence of Semantic Subspaces.
CoRR
Stephen Menary, Samuel Kaski, Andre Freitas
2024 A conf
Uncoupled Learning of Differential Stackelberg Equilibria with Commitments.
AAMAS
Robert T. Loftin, Mustafa Mert Çelikok, Herke van Hoof, Samuel Kaski, Frans A. Oliehoek
2024 J jnl
Video-Language Critic: Transferable Reward Functions for Language-Conditioned Robotics.
CoRR
Minttu Alakuijala, Reginald McLean, Isaac Woungang, Nariman Farsad, Samuel Kaski, Pekka Marttinen, Kai Yuan
2024 J jnl
What Ails Generative Structure-based Drug Design: Too Little or Too Much Expressivity?
CoRR
Rafal Karczewski, Samuel Kaski, Markus Heinonen, Vikas Garg
2023 J jnl
Causal Similarity-Based Hierarchical Bayesian Models.
CoRR
Sophie Wharrie, Samuel Kaski
2023 — conf
Characterizing personalized effects of family information on disease risk using graph representation learning.
MLHC
Sophie Wharrie, Zhiyu Yang, Andrea Ganna, Samuel Kaski
2023 J jnl
Collaborative Learning From Distributed Data With Differentially Private Synthetic Twin Data.
CoRR
Lukas Prediger, Joonas Jälkö, Antti Honkela, Samuel Kaski
2023 A* conf
Compositional Sculpting of Iterative Generative Processes.
NeurIPS
Timur Garipov, Sebastiaan De Peuter, Ge Yang, Vikas Garg, Samuel Kaski, Tommi S. Jaakkola
2023 J jnl
Compositional Sculpting of Iterative Generative Processes.
CoRR
Timur Garipov, Sebastiaan De Peuter, Ge Yang, Vikas Garg, Samuel Kaski, Tommi S. Jaakkola
2023 — conf
Cooperative Bayesian Optimization for Imperfect Agents.
ECML/PKDD (1)
Ali Khoshvishkaie, Petrus Mikkola, Pierre-Alexandre Murena, Samuel Kaski
2023 J jnl
Cost-aware learning of relevant contextual variables within Bayesian optimization.
CoRR
Julien Martinelli, Ayush Bharti, S. T. John, Armi Tiihonen, Sabina Sloman, Louis Filstroff, Samuel Kaski
2023 J jnl
DPVIm: Differentially Private Variational Inference Improved.
Trans. Mach. Learn. Res.
Joonas Jälkö, Lukas Prediger, Antti Honkela, Samuel Kaski
2023 A conf
Differentiable user models.
UAI
Alex Hämäläinen, Mustafa Mert Çelikok, Samuel Kaski
2023 J jnl
Estimating treatment effects from single-arm trials via latent-variable modeling.
CoRR
Manuel Haussmann, Tran Minh Son Le, Viivi Halla-aho, Samu Kurki, Jussi Leinonen, Miika Koskinen, Samuel Kaski, Harri Lähdesmäki
2023 J jnl
HAPNEST: efficient, large-scale generation and evaluation of synthetic datasets for genotypes and phenotypes.
Bioinform.
Sophie Wharrie, Zhiyu Yang, Vishnu Raj, Remo Monti, Rahul Gupta, Ying Wang, Alicia Martin, Luke J. O'Connor, Samuel Kaski, Pekka Marttinen, Pier Francesco Palamara, Christoph Lippert, Andrea Ganna
2023 J jnl
Human-in-the-Loop Causal Discovery under Latent Confounding using Ancestral GFlowNets.
CoRR
Tiago da Silva, Eliezer S. Silva, Adèle H. Ribeiro, António Góis, Dominik Heider, Samuel Kaski, Diego Mesquita
2023 A conf
Imitation-Guided Multimodal Policy Generation from Behaviourally Diverse Demonstrations.
IROS
Shibei Zhu, Rituraj Kaushik, Samuel Kaski, Ville Kyrki
2023 J jnl
Input gradient diversity for neural network ensembles.
CoRR
Trung Q. Trinh, Markus Heinonen, Luigi Acerbi, Samuel Kaski
2023 J jnl
Intelligent digital tools for screening of brain connectivity and dementia risk estimation in people affected by mild cognitive impairment: the AI-Mind clinical study protocol.
Frontiers Neurorobotics
Ira R. J. Hebold Haraldsen, Christoffer Hatlestad-Hall, Camillo Marra, Hanna Renvall, Fernando Maestú, Jorge Acosta-Hernández, Soraya Alfonsin, Vebjørn Andersson, Abhilash Anand, Victor Ayllón, Aleksandar Babic, Asma Belhadi, Cindy Birck, Ricardo Bruña, Naike Caraglia, Claudia Carrarini, Erik Christensen, Americo Cicchetti, Signe Daugbjerg, Rossella Di Bidino, Ana Diaz-Ponce, Ainar Drews, Guido Maria Giuffrè, Jean Georges, Pedro Gil-Gregorio, Dianne Gove, Tim M. Govers, Harry Hallock, Marja Hietanen, Lone Holmen, Jaakko Hotta, Samuel Kaski, Rabindra Khadka, Antti S. Kinnunen, Anne M. Koivisto, Shrikanth Kulashekhar, Denis Larsen, Mia Liljeström, Pedro G. Lind, Alberto Marcos Dolado, Serena Elizabeth Marshall, Susanne Merz, Francesca Miraglia, Juha Montonen, Ville Mäntynen, Anne Rita Øksengård, Javier Olazarán, Teemu Paajanen, José M. Peña, Luís Peña, Daniel lrabien Peniche, Ana S. Pérez, Mohamed Radwan, Federico Ramírez-Toraño, Andrea Rodríguez-Pedrero, Timo Saarinen, Mario Salas-Carrillo, Riitta Salmelin, Sonia C. Sousa, Abdillah Suyuthi, Mathias Toft, Pablo Toharia, Thomas Tveitstøl, Mats Tveter, Ramesh Upreti, Robin J. Vermeulen, Fabrizio Vecchio, Anis Yazidi, Paolo Maria Rossini
2023 A* conf
Learning Robust Statistics for Simulation-based Inference under Model Misspecification.
NeurIPS
Daolang Huang, Ayush Bharti, Amauri H. Souza, Luigi Acerbi, Samuel Kaski
2023 J jnl
Learning Robust Statistics for Simulation-based Inference under Model Misspecification.
CoRR
Daolang Huang, Ayush Bharti, Amauri H. Souza, Luigi Acerbi, Samuel Kaski
2023 J jnl
Modeling needs user modeling.
Frontiers Artif. Intell.
Mustafa Mert Çelikok, Pierre-Alexandre Murena, Samuel Kaski
2023 A conf
Multi-Fidelity Bayesian Optimization with Unreliable Information Sources.
AISTATS
Petrus Mikkola, Julien Martinelli, Louis Filstroff, Samuel Kaski
2023 A conf
Noise-Aware Statistical Inference with Differentially Private Synthetic Data.
AISTATS
Ossi Räisä, Joonas Jälkö, Samuel Kaski, Antti Honkela
2023 J jnl
Online simulator-based experimental design for cognitive model selection.
CoRR
Alexander Aushev, Aini Putkonen, Gregoire Clarte, Suyog Chandramouli, Luigi Acerbi, Samuel Kaski, Andrew Howes
2023 A* conf
Optimally-weighted Estimators of the Maximum Mean Discrepancy for Likelihood-Free Inference.
ICML
Ayush Bharti, Masha Naslidnyk, Oscar Key, Samuel Kaski, François-Xavier Briol
2023 A* conf
Practical Equivariances via Relational Conditional Neural Processes.
NeurIPS
Daolang Huang, Manuel Haussmann, Ulpu Remes, St John, Grégoire Clarté, Kevin Sebastian Luck, Samuel Kaski, Luigi Acerbi
2023 J jnl
Practical Equivariances via Relational Conditional Neural Processes.
CoRR
Daolang Huang, Manuel Haussmann, Ulpu Remes, S. T. John, Grégoire Clarté, Kevin Sebastian Luck, Samuel Kaski, Luigi Acerbi
2023 J jnl
Stochastic cluster embedding.
Stat. Comput.
Zhirong Yang, Yuwei Chen, Denis Sedov, Samuel Kaski, Jukka Corander
2023 J jnl
TSGM: A Flexible Framework for Generative Modeling of Synthetic Time Series.
CoRR
Alexander Nikitin, Letizia Iannucci, Samuel Kaski
2023 A* conf
Teaching to Learn: Sequential Teaching of Learners with Internal States.
AAAI
Mustafa Mert Çelikok, Pierre-Alexandre Murena, Samuel Kaski
2023 J jnl
The Fundamental Dilemma of Bayesian Active Meta-learning.
CoRR
Sabina J. Sloman, Ayush Bharti, Samuel Kaski
2023 J jnl
The influence of inter-regional delays in generating large-scale brain networks of phase synchronization.
NeuroImage
Nitin Williams, A. Ojanperä, Felix Siebenhühner, Benedetta Toselli, Satu Palva, Gabriele Arnulfo, Samuel Kaski, J. Matias Palva
2023 J jnl
Toward AI assistants that let designers design.
AI Mag.
Sebastiaan De Peuter, Antti Oulasvirta, Samuel Kaski
2023 J jnl
Uncoupled Learning of Differential Stackelberg Equilibria with Commitments.
CoRR
Robert Tyler Loftin, Mustafa Mert Çelikok, Herke van Hoof, Samuel Kaski, Frans A. Oliehoek
2023 J jnl
Understanding deep neural networks through the lens of their non-linearity.
CoRR
Quentin Bouniot, Ievgen Redko, Anton Mallasto, Charlotte Laclau, Karol Arndt, Oliver Struckmeier, Markus Heinonen, Ville Kyrki, Samuel Kaski
2023 A* conf
Zero-Shot Assistance in Sequential Decision Problems.
AAAI
Sebastiaan De Peuter, Samuel Kaski
2022 A* conf
Approximate Bayesian Computation with Domain Expert in the Loop.
ICML
Ayush Bharti, Louis Filstroff, Samuel Kaski
2022 J jnl
Approximate Bayesian Computation with Domain Expert in the Loop.
CoRR
Ayush Bharti, Louis Filstroff, Samuel Kaski
2022 J jnl
Bayesian Optimization Augmented with Actively Elicited Expert Knowledge.
CoRR
Daolang Huang, Louis Filstroff, Petrus Mikkola, Runkai Zheng, Samuel Kaski
2022 A conf
Best-Response Bayesian Reinforcement Learning with Bayes-adaptive POMDPs for Centaurs.
AAMAS
Mustafa Mert Çelikok, Frans A. Oliehoek, Samuel Kaski
2022 J jnl
Best-Response Bayesian Reinforcement Learning with Bayes-adaptive POMDPs for Centaurs.
CoRR
Mustafa Mert Çelikok, Frans A. Oliehoek, Samuel Kaski
2022 J jnl
DIVERSE: Bayesian Data IntegratiVE Learning for Precise Drug ResponSE Prediction.
IEEE ACM Trans. Comput. Biol. Bioinform.
Betül Güvenç Paltun, Samuel Kaski, Hiroshi Mamitsuka
2022 J jnl
DPVIm: Differentially Private Variational Inference Improved.
CoRR
Joonas Jälkö, Lukas Prediger, Antti Honkela, Samuel Kaski
2022 A* conf
Deconfounded Representation Similarity for Comparison of Neural Networks.
NeurIPS
Tianyu Cui, Yogesh Kumar, Pekka Marttinen, Samuel Kaski
2022 J jnl
Deconfounded Representation Similarity for Comparison of Neural Networks.
CoRR
Tianyu Cui, Yogesh Kumar, Pekka Marttinen, Samuel Kaski
2022 J jnl
Differentiable User Models.
CoRR
Alex Hämäläinen, Mustafa Mert Çelikok, Samuel Kaski
2022 — conf
EntityBot: Actionable Entity Recommendations for Everyday Digital Task.
CHI Extended Abstracts
Tung Thanh Vuong, Salvatore Andolina, Giulio Jacucci, Pedram Daee, Khalil Klouche, Mats Sjöberg, Tuukka Ruotsalo, Samuel Kaski
2022 A* conf
Human-in-the-Loop Large-Scale Predictive Maintenance of Workstations.
KDD
Alexander Nikitin, Samuel Kaski
2022 J jnl
Human-in-the-Loop Large-Scale Predictive Maintenance of Workstations.
CoRR
Alexander Nikitin, Samuel Kaski
2022 J jnl
Human-in-the-loop assisted de novo molecular design.
J. Cheminformatics
Iiris Sundin, Alexey Voronov, Haoping Xiao, Kostas Papadopoulos, Esben Jannik Bjerrum, Markus Heinonen, Atanas Patronov, Samuel Kaski, Ola Engkvist
2022 A ed.
IUI 2022: 27th International Conference on Intelligent User Interfaces, Helsinki, Finland, March 22 - 25, 2022
IUI
Giulio Jacucci, Samuel Kaski, Cristina Conati, Simone Stumpf, Tuukka Ruotsalo, Krzysztof Gajos
2022 — ed.
IUI 2022: 27th International Conference on Intelligent User Interfaces, Helsinki, Finland, March 22 - 25, 2022 - Companion Volume
IUI Companion
Giulio Jacucci, Samuel Kaski, Cristina Conati, Simone Stumpf, Tuukka Ruotsalo, Krzysztof Gajos
2022 J jnl
Identification of multiplicatively acting modulatory mutational signatures in cancer.
BMC Bioinform.
Dovydas Kiciatovas, Qingli Guo, Miika Kailas, Henri Pesonen, Jukka Corander, Samuel Kaski, Esa Pitkänen, Ville Mustonen
2022 J jnl
Likelihood-free inference with deep Gaussian processes.
Comput. Stat. Data Anal.
Alexander Aushev, Henri Pesonen, Markus Heinonen, Jukka Corander, Samuel Kaski
2022 A* conf
Modular Flows: Differential Molecular Generation.
NeurIPS
Yogesh Verma, Samuel Kaski, Markus Heinonen, Vikas Garg
2022 J jnl
Modular Flows: Differential Molecular Generation.
CoRR
Yogesh Verma, Samuel Kaski, Markus Heinonen, Vikas Garg
2022 J jnl
Multi-Fidelity Bayesian Optimization with Unreliable Information Sources.
CoRR
Petrus Mikkola, Julien Martinelli, Louis Filstroff, Samuel Kaski
2022 J jnl
Noise-Aware Statistical Inference with Differentially Private Synthetic Data.
CoRR
Ossi Räisä, Joonas Jälkö, Samuel Kaski, Antti Honkela
2022 A conf
Non-separable Spatio-temporal Graph Kernels via SPDEs.
AISTATS
Alexander Nikitin, S. T. John, Arno Solin, Samuel Kaski
2022 A conf
Parallel MCMC Without Embarrassing Failures.
AISTATS
Daniel Augusto de Souza, Diego Mesquita, Samuel Kaski, Luigi Acerbi
2022 J jnl
Parallel MCMC Without Embarrassing Failures.
CoRR
Daniel Augusto de Souza, Diego Mesquita, Samuel Kaski, Luigi Acerbi
2022 A* conf
Provably expressive temporal graph networks.
NeurIPS
Amauri H. Souza, Diego Mesquita, Samuel Kaski, Vikas Garg
2022 J jnl
Provably expressive temporal graph networks.
CoRR
Amauri H. Souza, Diego Mesquita, Samuel Kaski, Vikas Garg
2022 A* conf
Tackling covariate shift with node-based Bayesian neural networks.
ICML
Trung Q. Trinh, Markus Heinonen, Luigi Acerbi, Samuel Kaski
2022 J jnl
Tackling covariate shift with node-based Bayesian neural networks.
CoRR
Trung Q. Trinh, Markus Heinonen, Luigi Acerbi, Samuel Kaski
2022 A conf
Variational multiple shooting for Bayesian ODEs with Gaussian processes.
UAI
Pashupati Hegde, Çagatay Yildiz, Harri Lähdesmäki, Samuel Kaski, Markus Heinonen
2022 J jnl
Zero-Shot Assistance in Novel Decision Problems.
CoRR
Sebastiaan De Peuter, Samuel Kaski
2022 J jnl
d3p - A Python Package for Differentially-Private Probabilistic Programming.
Proc. Priv. Enhancing Technol.
Lukas Prediger, Niki Andreas Lopi, Samuel Kaski, Antti Honkela
2021 J jnl
Affine Transport for Sim-to-Real Domain Adaptation.
CoRR
Anton Mallasto, Karol Arndt, Markus Heinonen, Samuel Kaski, Ville Kyrki
2021 C conf
Bayesian Inference for Optimal Transport with Stochastic Cost.
ACML
Anton Mallasto, Markus Heinonen, Samuel Kaski
2021 J jnl
Bayesian inference of ODEs with Gaussian processes.
CoRR
Pashupati Hegde, Çagatay Yildiz, Harri Lähdesmäki, Samuel Kaski, Markus Heinonen
2021 — conf
Behaviour-Conditioned Policies for Cooperative Reinforcement Learning Tasks.
ICANN (4)
Antti Keurulainen, Isak Westerlund, Ariel Kwiatkowski, Samuel Kaski, Alexander Ilin
2021 J jnl
Behaviour-conditioned policies for cooperative reinforcement learning tasks.
CoRR
Antti Keurulainen, Isak Westerlund, Ariel Kwiatkowski, Samuel Kaski, Alexander Ilin
2021 J jnl
DIVERSE: bayesian Data IntegratiVE learning for precise drug ResponSE prediction.
CoRR
Betül Güvenç Paltun, Samuel Kaski, Hiroshi Mamitsuka
2021 A* conf
De-randomizing MCMC dynamics with the diffusion Stein operator.
NeurIPS
Zheyang Shen, Markus Heinonen, Samuel Kaski
2021 J jnl
De-randomizing MCMC dynamics with the diffusion Stein operator.
CoRR
Zheyang Shen, Markus Heinonen, Samuel Kaski
2021 A conf
Decision Rule Elicitation for Domain Adaptation.
IUI
Alexander Nikitin, Samuel Kaski
2021 J jnl
Decision Rule Elicitation for Domain Adaptation.
CoRR
Alexander Nikitin, Samuel Kaski
2021 A* conf
Differentially Private Bayesian Inference for Generalized Linear Models.
ICML
Tejas Kulkarni, Joonas Jälkö, Antti Koskela, Samuel Kaski, Antti Honkela
2021 J jnl
Entity Recommendation for Everyday Digital Tasks.
ACM Trans. Comput. Hum. Interact.
Giulio Jacucci, Pedram Daee, Tung Thanh Vuong, Salvatore Andolina, Khalil Klouche, Mats Sjöberg, Tuukka Ruotsalo, Samuel Kaski
2021 A conf
EntityBot: Supporting Everyday Digital Tasks with Entity Recommendations.
RecSys
Vuong Thanh Tung, Salvatore Andolina, Giulio Jacucci, Pedram Daee, Khalil Klouche, Mats Sjöberg, Tuukka Ruotsalo, Samuel Kaski
2021 A conf
Federated stochastic gradient Langevin dynamics.
UAI
Khaoula el Mekkaoui, Diego Mesquita, Paul Blomstedt, Samuel Kaski
2021 J jnl
Improving drug response prediction by integrating multiple data sources: matrix factorization, kernel and network-based approaches.
Briefings Bioinform.
Betül Güvenç Paltun, Hiroshi Mamitsuka, Samuel Kaski
2021 — conf
Learning to Assist Agents by Observing Them.
ICANN (4)
Antti Keurulainen, Isak Westerlund, Samuel Kaski, Alexander Ilin
2021 J jnl
Learning to Assist Agents by Observing Them.
CoRR
Antti Keurulainen, Isak Westerlund, Samuel Kaski, Alexander Ilin
2021 J jnl
Likelihood-Free Inference in State-Space Models with Unknown Dynamics.
CoRR
Alexander Aushev, Thong Tran, Henri Pesonen, Andrew Howes, Samuel Kaski
2021 J jnl
Locally Differentially Private Bayesian Inference.
CoRR
Tejas Kulkarni, Joonas Jälkö, Samuel Kaski, Antti Honkela
2021 J jnl
Machine learning approaches for drug combination therapies.
Briefings Bioinform.
Betül Güvenç Paltun, Samuel Kaski, Hiroshi Mamitsuka
2021 J jnl
Non-separable Spatio-temporal Graph Kernels via SPDEs.
CoRR
Alexander Nikitin, S. T. John, Arno Solin, Samuel Kaski
2021 J jnl
Privacy-preserving data sharing via probabilistic modeling.
Patterns
Joonas Jälkö, Eemil Lagerspetz, Jari Haukka, Sasu Tarkoma, Antti Honkela, Samuel Kaski
2021 J jnl
Stochastic Cluster Embedding.
CoRR
Zhirong Yang, Yuwei Chen, Denis Sedov, Samuel Kaski, Jukka Corander
2021 J jnl
Targeted Active Learning for Bayesian Decision-Making.
CoRR
Louis Filstroff, Iiris Sundin, Petrus Mikkola, Aleksei Tiulpin, Juuso Kylmäoja, Samuel Kaski
2021 J jnl
Toward AI Assistants That Let Designers Design.
CoRR
Sebastiaan De Peuter, Antti Oulasvirta, Samuel Kaski
2021 J jnl
d3p - A Python Package for Differentially-Private Probabilistic Programming.
CoRR
Lukas Prediger, Niki Andreas Lopi, Samuel Kaski, Antti Honkela
2020 — conf
A High-Performance Implementation of Bayesian Matrix Factorization with Limited Communication.
ICCS (6)
Tom Vander Aa, Xiangju Qin, Paul Blomstedt, Roel Wuyts, Wilfried Verachtert, Samuel Kaski
2020 J jnl
A High-Performance Implementation of Bayesian Matrix Factorization with Limited Communication.
CoRR
Tom Vander Aa, Xiangju Qin, Paul Blomstedt, Roel Wuyts, Wilfried Verachtert, Samuel Kaski
2020 J jnl
A decision-theoretic approach for model interpretability in Bayesian framework.
Mach. Learn.
Homayun Afrabandpey, Tomi Peltola, Juho Piironen, Aki Vehtari, Samuel Kaski
2020 J jnl
Bayesian Inference for Optimal Transport with Stochastic Cost.
CoRR
Anton Mallasto, Markus Heinonen, Samuel Kaski
2020 J jnl
Correlated Feature Selection with Extended Exclusive Group Lasso.
CoRR
Yuxin Sun, Benny Chain, Samuel Kaski, John Shawe-Taylor
2020 J jnl
Differentially Private Bayesian Inference for Generalized Linear Models.
CoRR
Tejas Kulkarni, Joonas Jälkö, Antti Koskela, Samuel Kaski, Antti Honkela
2020 J jnl
Differentially private cross-silo federated learning.
CoRR
Mikko A. Heikkilä, Antti Koskela, Kana Shimizu, Samuel Kaski, Antti Honkela
2020 A conf
Human Strategic Steering Improves Performance of Interactive Optimization.
UMAP
Fabio Colella, Pedram Daee, Jussi Jokinen, Antti Oulasvirta, Samuel Kaski
2020 J jnl
Human Strategic Steering Improves Performance of Interactive Optimization.
CoRR
Fabio Colella, Pedram Daee, Jussi Jokinen, Antti Oulasvirta, Samuel Kaski
2020 J jnl
Informative Gaussian Scale Mixture Priors for Bayesian Neural Networks.
CoRR
Tianyu Cui, Aki S. Havulinna, Pekka Marttinen, Samuel Kaski
2020 J jnl
Interactive faceted query suggestion for exploratory search: Whole-session effectiveness and interaction engagement.
J. Assoc. Inf. Sci. Technol.
Tuukka Ruotsalo, Giulio Jacucci, Samuel Kaski
2020 A conf
Learning Global Pairwise Interactions with Bayesian Neural Networks.
ECAI
Tianyu Cui, Pekka Marttinen, Samuel Kaski
2020 A conf
Learning spectrograms with convolutional spectral kernels.
AISTATS
Zheyang Shen, Markus Heinonen, Samuel Kaski
2020 J jnl
Likelihood-Free Inference with Deep Gaussian Processes.
CoRR
Alexander Aushev, Henri Pesonen, Markus Heinonen, Jukka Corander, Samuel Kaski
2020 J jnl
Local dimension reduction of summary statistics for likelihood-free inference.
Stat. Comput.
Jukka Sirén, Samuel Kaski
2020 J jnl
Privacy-preserving Data Sharing on Vertically Partitioned Data.
CoRR
Razane Tajeddine, Joonas Jälkö, Samuel Kaski, Antti Honkela
2020 A* conf
Projective Preferential Bayesian Optimization.
ICML
Petrus Mikkola, Milica Todorovic, Jari Järvi, Patrick Rinke, Samuel Kaski
2020 J jnl
Projective Preferential Bayesian Optimization.
CoRR
Petrus Mikkola, Milica Todorovic, Jari Järvi, Patrick Rinke, Samuel Kaski
2020 A* conf
Rethinking pooling in graph neural networks.
NeurIPS
Diego Mesquita, Amauri H. Souza Jr., Samuel Kaski
2020 J jnl
Rethinking pooling in graph neural networks.
CoRR
Diego Mesquita, Amauri H. Souza Jr., Samuel Kaski
2020 J jnl
Sample-efficient reinforcement learning using deep Gaussian processes.
CoRR
Charles W. L. Gadd, Markus Heinonen, Harri Lähdesmäki, Samuel Kaski
2020 J jnl
Scalable Bayesian neural networks by layer-wise input augmentation.
CoRR
Trung Q. Trinh, Samuel Kaski, Markus Heinonen
2020 A* conf
Scalable Probabilistic Matrix Factorization with Graph-Based Priors.
AAAI
Jonathan Strahl, Jaakko Peltonen, Hiroshi Mamitsuka, Samuel Kaski
2020 J jnl
Teaching to Learn: Sequential Teaching of Agents with Inner States.
CoRR
Mustafa Mert Çelikok, Pierre-Alexandre Murena, Samuel Kaski
2020 J jnl
Variance reduction for distributed stochastic gradient MCMC.
CoRR
Khaoula el Mekkaoui, Diego Mesquita, Paul Blomstedt, Samuel Kaski
2019 A* conf
Active Learning for Decision-Making from Imbalanced Observational Data.
ICML
Iiris Sundin, Peter Schulam, Eero Siivola, Aki Vehtari, Suchi Saria, Samuel Kaski
2019 J jnl
Active Learning for Decision-Making from Imbalanced Observational Data.
CoRR
Iiris Sundin, Peter Schulam, Eero Siivola, Aki Vehtari, Suchi Saria, Samuel Kaski
2019 J jnl
Bayesian metabolic flux analysis reveals intracellular flux couplings.
Bioinform.
Markus Heinonen, Maria Osmala, Henrik Mannerström, Janne Wallenius, Samuel Kaski, Juho Rousu, Harri Lähdesmäki
2019 J jnl
Block HSIC Lasso: model-free biomarker detection for ultra-high dimensional data.
Bioinform.
Héctor Climente-González, Chloé-Agathe Azencott, Samuel Kaski, Makoto Yamada
2019 — conf
Deep Convolutional Gaussian Processes.
ECML/PKDD (2)
Kenneth Blomqvist, Samuel Kaski, Markus Heinonen
2019 A conf
Deep learning with differential Gaussian process flows.
AISTATS
Pashupati Hegde, Markus Heinonen, Harri Lähdesmäki, Samuel Kaski
2019 J jnl
Distributed Bayesian matrix factorization with limited communication.
Mach. Learn.
Xiangju Qin, Paul Blomstedt, Eemeli Leppäaho, Pekka Parviainen, Samuel Kaski
2019 A conf
Embarrassingly Parallel MCMC using Deep Invertible Transformations.
UAI
Diego Mesquita, Paul Blomstedt, Samuel Kaski
2019 J jnl
Embarrassingly parallel MCMC using deep invertible transformations.
CoRR
Diego Mesquita, Paul Blomstedt, Samuel Kaski
2019 A conf
Harmonizable mixture kernels with variational Fourier features.
AISTATS
Zheyang Shen, Markus Heinonen, Samuel Kaski
2019 A* conf
Human-in-the-loop Active Covariance Learning for Improving Prediction in Small Data Sets.
IJCAI
Homayun Afrabandpey, Tomi Peltola, Samuel Kaski
2019 J jnl
Human-in-the-loop Active Covariance Learning for Improving Prediction in Small Data Sets.
CoRR
Homayun Afrabandpey, Tomi Peltola, Samuel Kaski
2019 J jnl
Integrating neurophysiologic relevance feedback in intent modeling for information retrieval.
J. Assoc. Inf. Sci. Technol.
Giulio Jacucci, Oswald Barral, Pedram Daee, Markus Wenzel, Baris Serim, Tuukka Ruotsalo, Patrik Pluchino, Jonathan Freeman, Luciano Gamberini, Samuel Kaski, Benjamin Blankertz
2019 J jnl
Interactive AI with a Theory of Mind.
CoRR
Mustafa Mert Çelikok, Tomi Peltola, Pedram Daee, Samuel Kaski
2019 B conf
Learning Image Relations with Contrast Association Networks.
IJCNN
Yao Lu, Zhirong Yang, Juho Kannala, Samuel Kaski
2019 J jnl
Learning spectrograms with convolutional spectral kernels.
CoRR
Zheyang Shen, Markus Heinonen, Samuel Kaski
2019 A* conf
Machine Teaching of Active Sequential Learners.
NeurIPS
Tomi Peltola, Mustafa Mert Çelikok, Pedram Daee, Samuel Kaski
2019 J jnl
Making Bayesian Predictive Models Interpretable: A Decision Theoretic Approach.
CoRR
Homayun Afrabandpey, Tomi Peltola, Juho Piironen, Aki Vehtari, Samuel Kaski
2019 J jnl
Modelling G×E with historical weather information improves genomic prediction in new environments.
Bioinform.
Jussi Gillberg, Pekka Marttinen, Hiroshi Mamitsuka, Samuel Kaski
2019 J jnl
Parameter Inference for Computational Cognitive Models with Approximate Bayesian Computation.
Cogn. Sci.
Antti Kangasrääsiö, Jussi P. P. Jokinen, Antti Oulasvirta, Andrew Howes, Samuel Kaski
2019 J jnl
Privacy-preserving data sharing via probabilistic modelling.
CoRR
Joonas Jälkö, Eemil Lagerspetz, Jari Haukka, Sasu Tarkoma, Samuel Kaski, Antti Honkela
2019 J jnl
Probabilistic Formulation of the Take The Best Heuristic.
CoRR
Tomi Peltola, Jussi Jokinen, Samuel Kaski
2019 J jnl
Recovering Pairwise Interactions Using Neural Networks.
CoRR
Tianyu Cui, Pekka Marttinen, Samuel Kaski
2019 J jnl
Representation Transfer for Differentially Private Drug Sensitivity Prediction.
CoRR
Teppo Mikael Niinimäki, Mikko A. Heikkilä, Antti Honkela, Samuel Kaski
2019 J jnl
Representation transfer for differentially private drug sensitivity prediction.
Bioinform.
Teppo Mikael Niinimäki, Mikko A. Heikkilä, Antti Honkela, Samuel Kaski
2019 A* conf
Scalable Bayesian Non-linear Matrix Completion.
IJCAI
Xiangju Qin, Paul Blomstedt, Samuel Kaski
2019 J jnl
Scalable Bayesian Non-linear Matrix Completion.
CoRR
Xiangju Qin, Paul Blomstedt, Samuel Kaski
2019 J jnl
Scalable Probabilistic Matrix Factorization with Graph-Based Priors.
CoRR
Jonathan Strahl, Jaakko Peltonen, Hiroshi Mamitsuka, Samuel Kaski
2018 J jnl
Approximate Bayesian Computation via Population Monte Carlo and Classification.
CoRR
Charlie Rogers-Smith, Henri Pesonen, Samuel Kaski
2018 J jnl
Bayesian Metabolic Flux Analysis reveals intracellular flux couplings.
CoRR
Markus Heinonen, Maria Osmala, Henrik Mannerström, Janne Wallenius, Samuel Kaski, Juho Rousu, Harri Lähdesmäki
2018 J jnl
Deep convolutional Gaussian processes.
CoRR
Kenneth Blomqvist, Samuel Kaski, Markus Heinonen
2018 J jnl
Deep learning with differential Gaussian process flows.
CoRR
Pashupati Hegde, Markus Heinonen, Harri Lähdesmäki, Samuel Kaski
2018 J jnl
ELFI: Engine for Likelihood-Free Inference.
J. Mach. Learn. Res.
Jarno Lintusaari, Henri Vuollekoski, Antti Kangasrääsiö, Kusti Skytén, Marko Järvenpää, Pekka Marttinen, Michael U. Gutmann, Aki Vehtari, Jukka Corander, Samuel Kaski
2018 J jnl
Harmonizable mixture kernels with variational Fourier features.
CoRR
Zheyang Shen, Markus Heinonen, Samuel Kaski
2018 J jnl
Improving genomics-based predictions for precision medicine through active elicitation of expert knowledge.
Bioinform.
Iiris Sundin, Tomi Peltola, Luana Micallef, Homayun Afrabandpey, Marta Soare, Muntasir Mamun Majumder, Pedram Daee, Chen He, Baris Serim, Aki S. Havulinna, Caroline Heckman, Giulio Jacucci, Pekka Marttinen, Samuel Kaski
2018 J jnl
Interactive Intent Modeling for Exploratory Search.
ACM Trans. Inf. Syst.
Tuukka Ruotsalo, Jaakko Peltonen, Manuel J. A. Eugster, Dorota Glowacka, Patrik Floréen, Petri Myllymäki, Giulio Jacucci, Samuel Kaski
2018 J jnl
Inverse reinforcement learning from summary data.
Mach. Learn.
Antti Kangasrääsiö, Samuel Kaski
2018 J jnl
Likelihood-free inference via classification.
Stat. Comput.
Michael U. Gutmann, Ritabrata Dutta, Samuel Kaski, Jukka Corander
2018 J jnl
Modelling User's Theory of AI's Mind in Interactive Intelligent Systems.
CoRR
Tomi Peltola, Mustafa Mert Çelikok, Pedram Daee, Samuel Kaski
2018 J jnl
Neural Non-Stationary Spectral Kernel.
CoRR
Sami Remes, Markus Heinonen, Samuel Kaski
2018 B conf
Probabilistic Formulation of the Take The Best Heuristic.
CogSci
Tomi Peltola, Jussi Jokinen, Samuel Kaski
2018 A conf
User Modelling for Avoiding Overfitting in Interactive Knowledge Elicitation for Prediction.
IUI
Pedram Daee, Tomi Peltola, Aki Vehtari, Samuel Kaski
2018 A conf
Variational zero-inflated Gaussian processes with sparse kernels.
UAI
Pashupati Hegde, Markus Heinonen, Samuel Kaski
2017 C conf
A Mutually-Dependent Hadamard Kernel for Modelling Latent Variable Couplings.
ACML
Sami Remes, Markus Heinonen, Samuel Kaski
2017 — conf
BCI for Physiological Text Annotation.
BCIforReal@IUI
Oswald Barral, Ilkka Kosunen, Tuukka Ruotsalo, Michiel M. A. Spapé, Manuel J. A. Eugster, Niklas Ravaja, Samuel Kaski, Giulio Jacucci
2017 A* conf
Convex Factorization Machine for Toxicogenomics Prediction.
KDD
Makoto Yamada, Wenzhao Lian, Amit Goyal, Jianhui Chen, Kishan Wimalawarne, Suleiman A. Khan, Samuel Kaski, Hiroshi Mamitsuka, Yi Chang
2017 J jnl
Differentially Private Bayesian Learning on Distributed Data.
CoRR
Mikko A. Heikkilä, Yusuke Okimoto, Samuel Kaski, Kana Shimizu, Antti Honkela
2017 — conf
Differentially private Bayesian learning on distributed data.
NIPS
Mikko A. Heikkilä, Eemil Lagerspetz, Samuel Kaski, Kana Shimizu, Sasu Tarkoma, Antti Honkela
2017 J jnl
Distributed Bayesian Matrix Factorization with Minimal Communication.
CoRR
Xiangju Qin, Paul Blomstedt, Eemeli Leppäaho, Pekka Parviainen, Samuel Kaski
2017 J jnl
ELFI: Engine for Likelihood Free Inference.
CoRR
Jarno Lintusaari, Henri Vuollekoski, Antti Kangasrääsiö, Kusti Skytén, Marko Järvenpää, Michael U. Gutmann, Aki Vehtari, Jukka Corander, Samuel Kaski
2017 J jnl
GFA: Exploratory Analysis of Multiple Data Sources with Group Factor Analysis.
J. Mach. Learn. Res.
Eemeli Leppäaho, Muhammad Ammad-ud-din, Samuel Kaski
2017 J jnl
Improving drug sensitivity predictions in precision medicine through active expert knowledge elicitation.
CoRR
Iiris Sundin, Tomi Peltola, Muntasir Mamun Majumder, Pedram Daee, Marta Soare, Homayun Afrabandpey, Caroline Heckman, Samuel Kaski, Pekka Marttinen
2017 A* conf
Inferring Cognitive Models from Data using Approximate Bayesian Computation.
CHI
Antti Kangasrääsiö, Kumaripaba Athukorala, Andrew Howes, Jukka Corander, Samuel Kaski, Antti Oulasvirta
2017 A conf
Interactive Elicitation of Knowledge on Feature Relevance Improves Predictions in Small Data Sets.
IUI
Luana Micallef, Iiris Sundin, Pekka Marttinen, Muhammad Ammad-ud-din, Tomi Peltola, Marta Soare, Giulio Jacucci, Samuel Kaski
2017 A conf
Interactive Prior Elicitation of Feature Similarities for Small Sample Size Prediction.
UMAP
Homayun Afrabandpey, Tomi Peltola, Samuel Kaski
2017 J jnl
Interpreting Outliers: Localized Logistic Regression for Density Ratio Estimation.
CoRR
Makoto Yamada, Song Liu, Samuel Kaski
2017 J jnl
Inverse Reinforcement Learning from Summary Data.
CoRR
Antti Kangasrääsiö, Samuel Kaski
2017 J jnl
Knowledge elicitation via sequential probabilistic inference for high-dimensional prediction.
Mach. Learn.
Pedram Daee, Tomi Peltola, Marta Soare, Samuel Kaski
2017 J jnl
Learning Image Relations with Contrast Association Networks.
CoRR
Yao Lu, Zhirong Yang, Juho Kannala, Samuel Kaski
2017 J jnl
Learning structures of Bayesian networks for variable groups.
Int. J. Approx. Reason.
Pekka Parviainen, Samuel Kaski
2017 A conf
Localized Lasso for High-Dimensional Regression.
AISTATS
Makoto Yamada, Koh Takeuchi, Tomoharu Iwata, John Shawe-Taylor, Samuel Kaski
2017 J jnl
MediSyn: uncertainty-aware visualization of multiple biomedical datasets to support drug treatment selection.
BMC Bioinform.
Chen He, Luana Micallef, ZiaurRehman Tanoli, Samuel Kaski, Tero Aittokallio, Giulio Jacucci
2017 J jnl
Multi-view kernel completion.
Mach. Learn.
Sahely Bhadra, Samuel Kaski, Juho Rousu
2017 — conf
Non-Stationary Spectral Kernels.
NIPS
Sami Remes, Markus Heinonen, Samuel Kaski
2017 J jnl
Non-Stationary Spectral Kernels.
CoRR
Sami Remes, Markus Heinonen, Samuel Kaski
2017 — conf
Probabilistic Expert Knowledge Elicitation of Feature Relevances in Sparse Linear Regression.
IAL@PKDD/ECML
Pedram Daee, Tomi Peltola, Marta Soare, Samuel Kaski
2017 — ch.
Self-Organizing Maps.
Encyclopedia of Machine Learning and Data Mining
Samuel Kaski
2017 J jnl
User Modelling for Avoiding Overfitting in Interactive Knowledge Elicitation for Prediction.
CoRR
Pedram Daee, Tomi Peltola, Aki Vehtari, Samuel Kaski
2016 J jnl
A Latent Feature Model Approach to Biclustering.
Int. J. Knowl. Discov. Bioinform.
José Caldas, Samuel Kaski
2016 A* conf
A Robust Convex Formulation for Ensemble Clustering.
IJCAI
Junning Gao, Makoto Yamada, Samuel Kaski, Hiroshi Mamitsuka, Shanfeng Zhu
2016 — conf
Bayesian Networks for Variable Groups.
Probabilistic Graphical Models
Pekka Parviainen, Samuel Kaski
2016 J jnl
Bayesian multi-tensor factorization.
Mach. Learn.
Suleiman A. Khan, Eemeli Leppäaho, Samuel Kaski
2016 — conf
Dealing with Concept Drift in Exploratory Search: An Interactive Bayesian Approach.
IUI Companion
Antti Kangasrääsiö, Yi Chen, Dorota Glowacka, Samuel Kaski
2016 J jnl
Drug response prediction by inferring pathway-response associations with Kernelized Bayesian Matrix Factorization.
CoRR
Muhammad Ammad-ud-din, Suleiman A. Khan, Disha Malani, Astrid Murumägi, Olli-P. Kallioniemi, Tero Aittokallio, Samuel Kaski
2016 J jnl
Drug response prediction by inferring pathway-response associations with kernelized Bayesian matrix factorization.
Bioinform.
Muhammad Ammad-ud-din, Suleiman A. Khan, Disha Malani, Astrid Murumägi, Olli-P. Kallioniemi, Tero Aittokallio, Samuel Kaski
2016 J jnl
Efficient differentially private learning improves drug sensitivity prediction.
CoRR
Antti Honkela, Mrinal Das, Onur Dikmen, Samuel Kaski
2016 J jnl
Extracting relevance and affect information from physiological text annotation.
User Model. User Adapt. Interact.
Oswald Barral, Ilkka Kosunen, Tuukka Ruotsalo, Michiel M. A. Spapé, Manuel J. A. Eugster, Niklas Ravaja, Samuel Kaski, Giulio Jacucci
2016 J jnl
GFA: Exploratory Analysis of Multiple Data Sources with Group Factor Analysis.
CoRR
Eemeli Leppäaho, Muhammad Ammad-ud-din, Samuel Kaski
2016 J jnl
Interactive Elicitation of Knowledge on Feature Relevance Improves Predictions in Small Data Sets.
CoRR
Luana Micallef, Iiris Sundin, Pekka Marttinen, Muhammad Ammad-ud-din, Tomi Peltola, Marta Soare, Giulio Jacucci, Samuel Kaski
2016 A conf
Interactive Intent Modeling from Multiple Feedback Domains.
IUI
Pedram Daee, Joel Pyykkö, Dorota Glowacka, Samuel Kaski
2016 A conf
Interactive Modeling of Concept Drift and Errors in Relevance Feedback.
UMAP
Antti Kangasrääsiö, Yi Chen, Dorota Glowacka, Samuel Kaski
2016 J jnl
Interactive Modeling of Concept Drift and Errors in Relevance Feedback.
CoRR
Antti Kangasrääsiö, Yi Chen, Dorota Glowacka, Samuel Kaski
2016 J jnl
Interactive Prior Elicitation of Features Similarities for Small Sample Size Prediction.
CoRR
Homayun Afrabandpey, Tomi Peltola, Samuel Kaski
2016 J jnl
Inverse Modeling of Complex Interactive Behavior with ABC.
CoRR
Antti Kangasrääsiö, Kumaripaba Athukorala, Andrew Howes, Jukka Corander, Samuel Kaski, Antti Oulasvirta
2016 J jnl
Knowledge Elicitation via Sequential Probabilistic Inference for High-Dimensional Prediction.
CoRR
Pedram Daee, Tomi Peltola, Marta Soare, Samuel Kaski
2016 J jnl
Modelling-based experiment retrieval: a case study with gene expression clustering.
Bioinform.
Paul Blomstedt, Ritabrata Dutta, Sohan Seth, Alvis Brazma, Samuel Kaski
2016 J jnl
Multi-view Kernel Completion.
CoRR
Sahely Bhadra, Samuel Kaski, Juho Rousu
2016 J jnl
Multiple Output Regression with Latent Noise.
J. Mach. Learn. Res.
Jussi Gillberg, Pekka Marttinen, Matti Pirinen, Antti J. Kangas, Pasi Soininen, Mehreen Ali, Aki S. Havulinna, Marjo-Riitta Järvelin, Mika Ala-Korpela, Samuel Kaski
2016 J jnl
Natural brain-information interfaces: Recommending information by relevance inferred from human brain signals.
CoRR
Manuel J. A. Eugster, Tuukka Ruotsalo, Michiel M. A. Spapé, Oswald Barral, Niklas Ravaja, Giulio Jacucci, Samuel Kaski
2016 A conf
Non-Stationary Gaussian Process Regression with Hamiltonian Monte Carlo.
AISTATS
Markus Heinonen, Henrik Mannerström, Juho Rousu, Samuel Kaski, Harri Lähdesmäki
2016 — conf
Preliminary Studies on Personalized Preference Prediction from Gaze in Comparing Visualizations.
ISVC (2)
Hamed Rezazadegan Tavakoli, Hanieh Poostchi, Jaakko Peltonen, Jorma Laaksonen, Samuel Kaski
2016 J jnl
Regression with n$\to$1 by Expert Knowledge Elicitation.
CoRR
Marta Soare, Muhammad Ammad-ud-din, Samuel Kaski
2016 C conf
Regression with n→1 by Expert Knowledge Elicitation.
ICMLA
Marta Soare, Muhammad Ammad-ud-din, Samuel Kaski
2016 J jnl
Sparse Network Lasso for Local High-dimensional Regression.
CoRR
Makoto Yamada, Koh Takeuchi, Tomoharu Iwata, John Shawe-Taylor, Samuel Kaski
2016 J jnl
Sparse group factor analysis for biclustering of multiple data sources.
Bioinform.
Kerstin Bunte, Eemeli Leppäaho, Inka Saarinen, Samuel Kaski
2016 Misc conf
Visualizations relevant to the user by multi-view latent variable factorization.
ICASSP
Seppo Virtanen, Homayun Afrabandpey, Samuel Kaski
2015 J jnl
Bayesian Networks for Variable Groups.
CoRR
Pekka Parviainen, Samuel Kaski
2015 — conf
Developing a Symbiotic System for Scientific Information Seeking: The MindSee Project.
Symbiotic
Luciano Gamberini, Anna Spagnolli, Benjamin Blankertz, Samuel Kaski, Jonathan Freeman, Laura Acqualagna, Oswald Barral, Maura Bellio, Luca Chech, Manuel J. A. Eugster, Eva Ferrari, Paolo Negri, Valeria Orso, Patrik Pluchino, Filippo Minelle, Baris Serim, Markus A. Wenzel, Giulio Jacucci
2015 A conf
Exploring Peripheral Physiology as a Predictor of Perceived Relevance in Information Retrieval.
IUI
Oswald Barral, Manuel J. A. Eugster, Tuukka Ruotsalo, Michiel M. A. Spapé, Ilkka Kosunen, Niklas Ravaja, Samuel Kaski, Giulio Jacucci
2015 J jnl
Group Factor Analysis.
IEEE Trans. Neural Networks Learn. Syst.
Arto Klami, Seppo Virtanen, Eemeli Leppäaho, Samuel Kaski
2015 A conf
Improving Controllability and Predictability of Interactive Recommendation Interfaces for Exploratory Search.
IUI
Antti Kangasrääsiö, Dorota Glowacka, Samuel Kaski
2015 J jnl
Interactive intent modeling: information discovery beyond search.
Commun. ACM
Tuukka Ruotsalo, Giulio Jacucci, Petri Myllymäki, Samuel Kaski
2015 A conf
Majorization-Minimization for Manifold Embedding.
AISTATS
Zhirong Yang, Jaakko Peltonen, Samuel Kaski
2015 J jnl
Modelling-based experiment retrieval: A case study with gene expression clustering.
CoRR
Paul Blomstedt, Ritabrata Dutta, Sohan Seth, Alvis Brazma, Samuel Kaski
2015 A* conf
SciNet: Interactive Intent Modeling for Information Discovery.
SIGIR
Tuukka Ruotsalo, Jaakko Peltonen, Manuel J. A. Eugster, Dorota Glowacka, Aki Reijonen, Giulio Jacucci, Petri Myllymäki, Samuel Kaski
2015 J jnl
Sparse group factor analysis for biclustering of multiple data sources.
CoRR
Kerstin Bunte, Eemeli Leppäaho, Inka Saarinen, Samuel Kaski
2015 J jnl
Towards brain-activity-controlled information retrieval: Decoding image relevance from MEG signals.
NeuroImage
Jukka-Pekka Kauppi, Melih Kandemir, Veli-Matti Saarinen, Lotta Hirvenkari, Lauri Parkkonen, Arto Klami, Riitta Hari, Samuel Kaski
2015 J jnl
Visualizations Relevant to The User By Multi-View Latent Variable Factorization.
CoRR
Seppo Virtanen, Homayun Afrabandpey, Samuel Kaski
2014 J jnl
Assessing multivariate gene-metabolome associations with rare variants using Bayesian reduced rank regression.
Bioinform.
Pekka Marttinen, Matti Pirinen, Antti-Pekka Sarin, Jussi Gillberg, Johannes Kettunen, Ida Surakka, Antti J. Kangas, Pasi Soininen, Paul F. O'Reilly, Marika Kaakinen, Mika Kähönen, Terho Lehtimäki, Mika Ala-Korpela, Olli T. Raitakari, Veikko Salomaa, Marjo-Riitta Järvelin, Samuli Ripatti, Samuel Kaski
2014 — conf
Bayesian Multi-view Tensor Factorization.
ECML/PKDD (1)
Suleiman A. Khan, Samuel Kaski
2014 J jnl
Exploration and retrieval of whole-metagenome sequencing samples.
Bioinform.
Sohan Seth, Niko Välimäki, Samuel Kaski, Antti Honkela
2014 J jnl
Identification of structural features in chemicals associated with cancer drug response: a systematic data-driven analysis.
Bioinform.
Suleiman A. Khan, Seppo Virtanen, Olli-P. Kallioniemi, Krister Wennerberg, Antti Poso, Samuel Kaski
2014 J jnl
Integrative and Personalized QSAR Analysis in Cancer by Kernelized Bayesian Matrix Factorization.
J. Chem. Inf. Model.
Muhammad Ammad-ud-din, Elisabeth Georgii, Mehmet Gönen, Tuomo Laitinen, Olli-P. Kallioniemi, Krister Wennerberg, Antti Poso, Samuel Kaski
2014 — conf
Intentradar: search user interface that anticipates user's search intents.
CHI Extended Abstracts
Tuukka Ruotsalo, Jaakko Peltonen, Manuel J. A. Eugster, Dorota Glowacka, Aki Reijonen, Giulio Jacucci, Petri Myllymäki, Samuel Kaski
2014 J jnl
Kernelized Bayesian Matrix Factorization.
IEEE Trans. Pattern Anal. Mach. Intell.
Mehmet Gönen, Samuel Kaski
2014 J jnl
Multi-task and multi-view learning of user state.
Neurocomputing
Melih Kandemir, Akos Vetek, Mehmet Gönen, Arto Klami, Samuel Kaski
2014 A* conf
Optimal Neighborhood Preserving Visualization by Maximum Satisfiability.
AAAI
Kerstin Bunte, Matti Järvisalo, Jeremias Berg, Petri Myllymäki, Jaakko Peltonen, Samuel Kaski
2014 A* conf
Optimization Equivalence of Divergences Improves Neighbor Embedding.
ICML
Zhirong Yang, Jaakko Peltonen, Samuel Kaski
2014 J jnl
PinView: Implicit Feedback in Content-Based Image Retrieval.
CoRR
Zakria Hussain, Arto Klami, Jussi Kujala, Alex Po Leung, Kitsuchart Pasupa, Peter Auer, Samuel Kaski, Jorma Laaksonen, John Shawe-Taylor
2014 A* conf
Predicting term-relevance from brain signals.
SIGIR
Manuel J. A. Eugster, Tuukka Ruotsalo, Michiel M. A. Spapé, Ilkka Kosunen, Oswald Barral, Niklas Ravaja, Giulio Jacucci, Samuel Kaski
2014 A conf
Preface.
AISTATS
Samuel Kaski, Jukka Corander
2014 J jnl
Probabilistic drug connectivity mapping.
BMC Bioinform.
Juuso A. Parkkinen, Samuel Kaski
2014 — conf
Retrieval of Experiments by Efficient Comparison of Marginal Likelihoods.
ICONIP (2)
Sohan Seth, John Shawe-Taylor, Samuel Kaski
2014 J jnl
Retrieval of Experiments by Efficient Estimation of Marginal Likelihood.
CoRR
Sohan Seth, John Shawe-Taylor, Samuel Kaski
2014 J jnl
Stronger findings for metabolomics through Bayesian modeling of multiple peaks and compound correlations.
Bioinform.
Tommi Suvitaival, Simon Rogers, Samuel Kaski
2014 J jnl
Stronger findings from mass spectral data through multi-peak modeling.
BMC Bioinform.
Tommi Suvitaival, Simon Rogers, Samuel Kaski
2013 B conf
Adaptive timeline interface to personal history data.
ICMI
Antti Ajanki, Markus Koskela, Jorma Laaksonen, Samuel Kaski
2013 J jnl
Bayesian Canonical correlation analysis.
J. Mach. Learn. Res.
Arto Klami, Seppo Virtanen, Samuel Kaski
2013 J jnl
Bayesian Information Sharing Between Noise And Regression Models Improves Prediction of Weak Effects.
CoRR
Jussi Gillberg, Pekka Marttinen, Matti Pirinen, Antti J. Kangas, Pasi Soininen, Marjo-Riitta Järvelin, Mika Ala-Korpela, Samuel Kaski
2013 A conf
Directing exploratory search with interactive intent modeling.
CIKM
Tuukka Ruotsalo, Jaakko Peltonen, Manuel J. A. Eugster, Dorota Glowacka, Ksenia Konyushkova, Kumaripaba Athukorala, Ilkka Kosunen, Aki Reijonen, Petri Myllymäki, Giulio Jacucci, Samuel Kaski
2013 A conf
Directing exploratory search: reinforcement learning from user interactions with keywords.
IUI
Dorota Glowacka, Tuukka Ruotsalo, Ksenia Konyushkova, Kumaripaba Athukorala, Samuel Kaski, Giulio Jacucci
2013 J jnl
Exploration and retrieval of whole-metagenome sequencing samples.
CoRR
Sohan Seth, Niko Välimäki, Samuel Kaski, Antti Honkela
2013 — conf
Information Retrieval Perspective to Interactive Data Visualization.
EuroVis (Short Papers)
Jaakko Peltonen, Max Sandholm, Samuel Kaski
2013 — conf
Kernelized Bayesian Matrix Factorization.
ICML (3)
Mehmet Gönen, Suleiman A. Khan, Samuel Kaski
2013 J jnl
Retrieval of Experiments with Sequential Dirichlet Process Mixtures in Model Space.
CoRR
Ritabrata Dutta, Sohan Seth, Samuel Kaski
2013 — conf
Scalable Optimization of Neighbor Embedding for Visualization.
ICML (2)
Zhirong Yang, Jaakko Peltonen, Samuel Kaski
2013 — conf
SciNet: a system for browsing scientific literature through keyword manipulation.
IUI Companion
Dorota Glowacka, Tuukka Ruotsalo, Ksenia Konyushkova, Kumaripaba Athukorala, Samuel Kaski, Giulio Jacucci
2013 — conf
Supporting exploratory search tasks with interactive user modeling.
ASIST
Tuukka Ruotsalo, Kumaripaba Athukorala, Dorota Glowacka, Ksenia Konyushkova, Antti Oulasvirta, Samuli Kaipiainen, Samuel Kaski, Giulio Jacucci
2012 A conf
Bayesian Group Factor Analysis.
AISTATS
Seppo Virtanen, Arto Klami, Suleiman A. Khan, Samuel Kaski
2012 J jnl
Bayesian exponential family projections for coupled data sources
CoRR
Arto Klami, Seppo Virtanen, Samuel Kaski
2012 J jnl
Comprehensive data-driven analysis of the impact of chemoinformatic structure on the genome-wide biological response profiles of cancer cells to 1159 drugs.
BMC Bioinform.
Suleiman A. Khan, Ali Faisal, John Mpindi, Juuso A. Parkkinen, Tuomo Kalliokoski, Antti Poso, Olli-P. Kallioniemi, Krister Wennerberg, Samuel Kaski
2012 J jnl
Data-driven information retrieval in heterogeneous collections of transcriptomics data links
Bioinform.
José Caldas, Nils Gehlenborg, Eeva Kettunen, Ali Faisal, Mikko Rönty, Andrew G. Nicholson, Sakari Knuutila, Alvis Brazma, Samuel Kaski
2012 J jnl
Focused multi-task learning in a Gaussian process framework.
Mach. Learn.
Gayle Leen, Jaakko Peltonen, Samuel Kaski
2012 J jnl
Global modeling of transcriptional responses in interaction networks
CoRR
Leo Lahti, Juha E. A. Knuuttila, Samuel Kaski
2012 B conf
Learning relevance from natural eye movements in pervasive interfaces.
ICMI
Melih Kandemir, Samuel Kaski
2012 J jnl
Machine learning for signal processing 2010.
Neurocomputing
Jaakko Peltonen, Tapani Raiko, Samuel Kaski
2012 B conf
Sparse Nonparametric Topic Model for Transfer Learning.
ESANN
Ali Faisal, Jussi Gillberg, Jaakko Peltonen, Gayle Leen, Samuel Kaski
2012 J jnl
Targeted retrieval of gene expression measurements using regulatory models.
Bioinform.
Elisabeth Georgii, Jarkko Salojärvi, Mikael Brosché, Jaakko Kangasjärvi, Samuel Kaski
2012 J jnl
Two-Way Latent Grouping Model for User Preference Prediction
CoRR
Eerika Savia, Kai Puolamäki, Janne Sinkkonen, Samuel Kaski
2012 — conf
Unsupervised Inference of Auditory Attention from Biosensors.
ECML/PKDD (2)
Melih Kandemir, Arto Klami, Akos Vetek, Samuel Kaski
2011 J jnl
An augmented reality interface to contextual information.
Virtual Real.
Antti Ajanki, Mark Billinghurst, Hannes Gamper, Toni Järvenpää, Melih Kandemir, Samuel Kaski, Markus Koskela, Mikko Kurimo, Jorma Laaksonen, Kai Puolamäki, Teemu Ruokolainen, Timo Tossavainen
2011 — ed.
Artificial Neural Networks and Machine Learning - ICANN 2011 - 21st International Conference on Artificial Neural Networks, Espoo, Finland, June 14-17, 2011, Proceedings, Part I
ICANN (1)
Timo Honkela, Wlodzislaw Duch, Mark A. Girolami, Samuel Kaski
2011 — ed.
Artificial Neural Networks and Machine Learning - ICANN 2011 - 21st International Conference on Artificial Neural Networks, Espoo, Finland, June 14-17, 2011, Proceedings, Part II
ICANN (2)
Timo Honkela, Wlodzislaw Duch, Mark A. Girolami, Samuel Kaski
2011 A* conf
Bayesian CCA via Group Sparsity.
ICML
Seppo Virtanen, Arto Klami, Samuel Kaski
2011 — conf
Cross-Species Translation of Multi-way Biomarkers.
ICANN (1)
Tommi Suvitaival, Ilkka Huopaniemi, Matej Oresic, Samuel Kaski
2011 J jnl
Dimensionality Reduction for Data Visualization [Applications Corner].
IEEE Signal Process. Mag.
Samuel Kaski, Jaakko Peltonen
2011 — conf
Focused Multi-task Learning Using Gaussian Processes.
ECML/PKDD (2)
Gayle Leen, Jaakko Peltonen, Samuel Kaski
2011 A conf
Generative Modeling for Maximizing Precision and Recall in Information Visualization.
AISTATS
Jaakko Peltonen, Samuel Kaski
2011 J jnl
Hierarchical Generative Biclustering for MicroRNA Expression Analysis.
J. Comput. Biol.
José Caldas, Samuel Kaski
2011 J jnl
Introduction to the special issue on mining and learning with graphs.
Mach. Learn.
S. V. N. Vishwanathan, Samuel Kaski, Jennifer Neville, Stefan Wrobel
2011 J jnl
Matching samples of multiple views.
Data Min. Knowl. Discov.
Abhishek Tripathi, Arto Klami, Matej Oresic, Samuel Kaski
2011 J jnl
Metabolic Regulation in Progression to Autoimmune Diabetes.
PLoS Comput. Biol.
Marko Sysi-Aho, Andrey Ermolov, Peddinti V. Gopalacharyulu, Abhishek Tripathi, Tuulikki Seppänen-Laakso, Johanna Maukonen, Ismo Mattila, Suvi T. Ruohonen, Laura Vähätalo, Laxman Yetukuri, Taina Härkönen, Erno Lindfors, Janne Nikkilä, Jorma Ilonen, Olli Simell, Maria Saarela, Mikael Knip, Samuel Kaski, Eriika Savontaus, Matej Oresic
2011 — conf
Multitask Learning Using Regularized Multiple Kernel Learning.
ICONIP (2)
Mehmet Gönen, Melih Kandemir, Samuel Kaski
2011 J jnl
Probabilistic Analysis of Probe Reliability in Differential Gene Expression Studies with Short Oligonucleotide Arrays.
IEEE ACM Trans. Comput. Biol. Bioinform.
Leo Lahti, Laura Elo, Tero Aittokallio, Samuel Kaski
2011 — conf
Probabilistic Proactive Timeline Browser.
ICANN (2)
Antti Ajanki, Samuel Kaski
2010 Misc conf
An information retrieval perspective on visualization of gene expression data with ontological annotation.
ICASSP
Jaakko Peltonen, Helena Aidos, Nils Gehlenborg, Alvis Brazma, Samuel Kaski
2010 A conf
Bayesian exponential family projections for coupled data sources.
UAI
Arto Klami, Seppo Virtanen, Samuel Kaski
2010 J jnl
Global modeling of transcriptional responses in interaction networks.
Bioinform.
Leo Lahti, Juha E. A. Knuuttila, Samuel Kaski
2010 — conf
Graph visualization with latent variable models.
MLG@KDD
Juuso A. Parkkinen, Kristian Nybo, Jaakko Peltonen, Samuel Kaski
2010 — conf
Graphical Multi-way Models.
ECML/PKDD (1)
Ilkka Huopaniemi, Tommi Suvitaival, Matej Oresic, Samuel Kaski
2010 B conf
Hierarchical Generative Biclustering for MicroRNA Expression Analysis.
RECOMB
José Caldas, Samuel Kaski
2010 B conf
Inferring object relevance from gaze in dynamic scenes.
ETRA
Melih Kandemir, Veli-Matti Saarinen, Samuel Kaski
2010 J jnl
Infinite factorization of multiple non-parametric views.
Mach. Learn.
Simon Rogers, Arto Klami, Janne Sinkkonen, Mark A. Girolami, Samuel Kaski
2010 J jnl
Information Retrieval Perspective to Nonlinear Dimensionality Reduction for Data Visualization.
J. Mach. Learn. Res.
Jarkko Venna, Jaakko Peltonen, Kristian Nybo, Helena Aidos, Samuel Kaski
2010 J jnl
Multivariate multi-way analysis of multi-source data.
Bioinform.
Ilkka Huopaniemi, Tommi Suvitaival, Janne Nikkilä, Matej Oresic, Samuel Kaski
2010 — conf
Pinview: Implicit Feedback in Content-Based Image Retrieval.
WAPA
Peter Auer, Zakria Hussain, Samuel Kaski, Arto Klami, Jussi Kujala, Jorma Laaksonen, Alex Po Leung, Kitsuchart Pasupa, John Shawe-Taylor
2010 J jnl
Relevant subtask learning by constrained mixture models.
Intell. Data Anal.
Jaakko Peltonen, Yusuf Yaslan, Samuel Kaski
2010 J jnl
Searching for functional gene modules with interaction component models.
BMC Syst. Biol.
Juuso A. Parkkinen, Samuel Kaski
2010 — ch.
Self-Organizing Maps.
Encyclopedia of Machine Learning
Samuel Kaski
2010 — ch.
Three Paths to Relevance.
Brain-Inspired Information Technology
Samuel Kaski
2010 — conf
Variational Bayesian Mixture of Robust CCA Models.
ECML/PKDD (3)
Jaakko Viinikanoja, Arto Klami, Samuel Kaski
2009 — conf
A Block Model Suitable for Sparse Graphs.
MLG/SRL@ILP
Juuso A. Parkkinen, Janne Sinkkonen, Ádám Gyenge, Samuel Kaski
2009 C conf
Automatic Choice of Control Measurements.
ACML
Gayle Leen, David R. Hardoon, Samuel Kaski
2009 B conf
Bayesian Solutions to the Label Switching Problem.
IDA
Kai Puolamäki, Samuel Kaski
2009 J jnl
Can eyes reveal interest? Implicit queries from gaze patterns.
User Model. User Adapt. Interact.
Antti Ajanki, David R. Hardoon, Samuel Kaski, Kai Puolamäki, John Shawe-Taylor
2009 J jnl
Dependencies between stimuli and spatially independent fMRI sources: Towards brain correlates of natural stimuli.
NeuroImage
Jarkko Ylipaavalniemi, Eerika Savia, Sanna Malinen, Riitta Hari, Ricardo Vigário, Samuel Kaski
2009 Misc conf
Fast dependent components for fMRI analysis.
ICASSP
Eerika Savia, Arto Klami, Samuel Kaski
2009 B conf
GaZIR: gaze-based zooming interface for image retrieval.
ICMI
László Kozma, Arto Klami, Samuel Kaski
2009 J jnl
Latent grouping models for user preference prediction.
Mach. Learn.
Eerika Savia, Kai Puolamäki, Samuel Kaski
2009 — conf
Learning to rank images from eye movements.
ICCV Workshops
Kitsuchart Pasupa, Craig Saunders, Sándor Szedmák, Arto Klami, Samuel Kaski, Steve R. Gunn
2009 J jnl
Probabilistic retrieval and visualization of biologically relevant microarray experiments.
Bioinform.
José Caldas, Nils Gehlenborg, Ali Faisal, Alvis Brazma, Samuel Kaski
2009 J jnl
Probabilistic retrieval and visualization of biologically relevant microarray experiments.
BMC Bioinform.
José Caldas, Nils Gehlenborg, Ali Faisal, Alvis Brazma, Samuel Kaski
2009 Misc conf
Supervised nonlinear dimensionality reduction by Neighbor Retrieval.
ICASSP
Jaakko Peltonen, Helena Aidos, Samuel Kaski
2009 — conf
Two-Way Analysis of High-Dimensional Collinear Data.
ECML/PKDD (1)
Ilkka Huopaniemi, Tommi Suvitaival, Janne Nikkilä, Matej Oresic, Samuel Kaski
2009 B conf
Two-Way Grouping by One-Way Topic Models.
IDA
Eerika Savia, Kai Puolamäki, Samuel Kaski
2009 J jnl
Two-way analysis of high-dimensional collinear data.
Data Min. Knowl. Discov.
Ilkka Huopaniemi, Tommi Suvitaival, Janne Nikkilä, Matej Oresic, Samuel Kaski
2009 Misc conf
Using dependencies to pair samples for multi-view learning.
ICASSP
Abhishek Tripathi, Arto Klami, Samuel Kaski
2009 J jnl
Visualizations for assessing convergence and mixing of Markov chain Monte Carlo simulations.
Comput. Stat. Data Anal.
Jaakko Peltonen, Jarkko Venna, Samuel Kaski
2008 — conf
An Analysis of Generalization Error in Relevant Subtask Learning.
ICONIP (1)
Keisuke Yamazaki, Samuel Kaski
2008 — conf
Can relevance of images be inferred from eye movements?
Multimedia Information Retrieval
Arto Klami, Craig Saunders, Teófilo Emídio de Campos, Samuel Kaski
2008 — conf
Infinite mixtures for multi-relational categorical data.
MLG@ICML
Janne Sinkkonen, Janne Aukia, Samuel Kaski
2008 A* conf
Learning to learn implicit queries from gaze patterns.
ICML
Kai Puolamäki, Antti Ajanki, Samuel Kaski
2008 J jnl
Probabilistic approach to detecting dependencies between data sets.
Neurocomputing
Arto Klami, Samuel Kaski
2008 J jnl
Simple integrative preprocessing preserves what is shared in data sources.
BMC Bioinform.
Abhishek Tripathi, Arto Klami, Samuel Kaski
2007 J jnl
Comparison of visualization methods for an atlas of gene expression data sets.
Inf. Vis.
Jarkko Venna, Samuel Kaski
2007 B conf
Functional elements and networks in fMRI.
ESANN
Jarkko Ylipaavalniemi, Eerika Savia, Ricardo Vigário, Samuel Kaski
2007 — conf
Inferring Vertex Properties from Topology in Large Networks.
MLG
Janne Sinkkonen, Janne Aukia, Samuel Kaski
2007 A conf
Information Retrieval by Inferring Implicit Queries from Eye Movements.
AISTATS
David R. Hardoon, John Shawe-Taylor, Antti Ajanki, Kai Puolamäki, Samuel Kaski
2007 — conf
Learning from Relevant Tasks Only.
ECML
Samuel Kaski, Jaakko Peltonen
2007 A* conf
Local dependent components.
ICML
Arto Klami, Samuel Kaski
2007 J jnl
Methods for estimating human endogenous retrovirus activities from EST databases.
BMC Bioinform.
Merja Oja, Jaakko Peltonen, Jonas Blomberg, Samuel Kaski
2007 A conf
Nonlinear Dimensionality Reduction as Information Retrieval.
AISTATS
Jarkko Venna, Samuel Kaski
2007 J jnl
Probabilistic modeling and machine learning in structural and systems biology.
BMC Bioinform.
Samuel Kaski, Juho Rousu, Esko Ukkonen
2006 J jnl
Local multidimensional scaling.
Neural Networks
Jarkko Venna, Samuel Kaski
2006 B conf
Neural networks and machine learning in bioinformatics - theory and applications.
ESANN
Udo Seiffert, Barbara Hammer, Samuel Kaski, Thomas Villmann
2006 B conf
Visualizing gene interaction graphs with local multidimensional scaling.
ESANN
Jarkko Venna, Samuel Kaski
2005 J jnl
Associative Clustering for Exploring Dependencies between Functional Genomics Data Sets.
IEEE ACM Trans. Comput. Biol. Bioinform.
Samuel Kaski, Janne Nikkilä, Janne Sinkkonen, Leo Lahti, Juha E. A. Knuuttila, Christophe Roos
2005 A* conf
Combining eye movements and collaborative filtering for proactive information retrieval.
SIGIR
Kai Puolamäki, Jarkko Salojärvi, Eerika Savia, Jaana Simola, Samuel Kaski
2005 J jnl
Discriminative clustering.
Neurocomputing
Samuel Kaski, Janne Sinkkonen, Arto Klami
2005 J jnl
Discriminative components of data.
IEEE Trans. Neural Networks
Jaakko Peltonen, Samuel Kaski
2005 A* conf
Expectation maximization algorithms for conditional likelihoods.
ICML
Jarkko Salojärvi, Kai Puolamäki, Samuel Kaski
2005 J jnl
Exploratory modeling of yeast stress response and its regulation with gcca and associative clustering.
Int. J. Neural Syst.
Janne Nikkilä, Christophe Roos, Eerika Savia, Samuel Kaski
2005 — conf
Implicit Relevance Feedback from Eye Movements.
ICANN (1)
Jarkko Salojärvi, Kai Puolamäki, Samuel Kaski
2005 — conf
Non-parametric dependent components.
ICASSP (5)
Arto Klami, Samuel Kaski
2005 — conf
On Discriminative Joint Density Modeling.
ECML
Jarkko Salojärvi, Kai Puolamäki, Samuel Kaski
2005 J jnl
Self-organizing map-based discovery and visualization of human endogenous retroviral sequence groups.
Int. J. Neural Syst.
Merja Oja, Göran O. Sperber, Jonas Blomberg, Samuel Kaski
2005 A conf
Two-Way Latent Grouping Model for User Preference Prediction.
UAI
Eerika Savia, Kai Puolamäki, Janne Sinkkonen, Samuel Kaski
2004 — conf
Associative Clustering.
ECML
Janne Sinkkonen, Janne Nikkilä, Leo Lahti, Samuel Kaski
2004 C conf
Exploring Dependencies Between Yeast Stress Genes and Their Regulators.
IDEAL
Janne Nikkilä, Christophe Roos, Samuel Kaski
2004 C conf
Grouping and visualizing human endogenous retroviruses by bootstrapping median self-organizing maps.
CIBCB
Merja Oja, Göran O. Sperber, Jonas Blomberg, Samuel Kaski
2004 J jnl
Improved learning of Riemannian metrics for exploratory analysis.
Neural Networks
Jaakko Peltonen, Arto Klami, Samuel Kaski
2004 J jnl
Mining massive document collections by the WEBSOM method.
Inf. Sci.
Krista Lagus, Samuel Kaski, Teuvo Kohonen
2004 B conf
On text-based estimation of document relevance.
IJCNN
Eerika Savia, Samuel Kaski, Ville H. Tuulos, Petri Myllymäki
2004 J jnl
Principle of Learning Metrics for Exploratory Data Analysis.
J. VLSI Signal Process.
Samuel Kaski, Janne Sinkkonen
2004 A* conf
Sequential information bottleneck for finite data.
ICML
Jaakko Peltonen, Janne Sinkkonen, Samuel Kaski
2003 A* conf
Informative Discriminant Analysis.
ICML
Samuel Kaski, Jaakko Peltonen
2003 — ch.
Methods for Exploratory Cluster Analysis.
Intelligent Exploration of the Web
Samuel Kaski, Janne Nikkilä, Teuvo Kohonen
2003 — conf
Regularized discriminative clustering.
NNSP
Samuel Kaski, Janne Sinkkonen, Arto Klami
2003 J jnl
Trustworthiness and metrics in visualizing similarity of gene expression.
BMC Bioinform.
Samuel Kaski, Janne Nikkilä, Merja Oja, Jarkko Venna, Petri Törönen, Eero Castrén
2003 — conf
Visualizations for Assessing Convergence and Mixing of MCMC.
ECML
Jarkko Venna, Samuel Kaski, Jaakko Peltonen
2002 J jnl
Analysis and visualization of gene expression data using Self-Organizing Maps.
Neural Networks
Janne Nikkilä, Petri Törönen, Samuel Kaski, Jarkko Venna, Eero Castrén, Garry Wong
2002 J jnl
Clustering Based on Conditional Distributions in an Auxiliary Space.
Neural Comput.
Janne Sinkkonen, Samuel Kaski
2002 — conf
Discriminative Clustering: Optimal Contingency Tables by Learning Metrics.
ECML
Janne Sinkkonen, Samuel Kaski, Janne Nikkilä
2002 J jnl
Electronic editor: automatic content-based sequential compilation of newspaper articles.
Neurocomputing
Ville Ollikainen, Christer Bäckström, Samuel Kaski
2002 C conf
Learning More Accurate Metrics for Self-Organizing Maps.
ICANN
Jaakko Peltonen, Arto Klami, Samuel Kaski
2001 — conf
A Topography-Preserving Latent Variable Model with Learning Metrics.
WSOM
Samuel Kaski, Janne Sinkkonen
2001 J jnl
Bankruptcy analysis with self-organizing maps in learning metrics.
IEEE Trans. Neural Networks
Samuel Kaski, Janne Sinkkonen, Jaakko Peltonen
2001 C conf
Clustering Gene Expression Data by Mutual Information with Gene Function.
ICANN
Samuel Kaski, Janne Sinkkonen, Janne Nikkilä
2001 B conf
Data Visualization and Analysis with Self-Organizing Maps in Learning Metrics.
DaWaK
Samuel Kaski, Janne Sinkkonen, Jaakko Peltonen
2001 C conf
Neighborhood Preservation in Nonlinear Projection Methods: An Experimental Study.
ICANN
Jarkko Venna, Samuel Kaski
2001 — conf
SOM-Based Exploratory Analysis of Gene Expression Data.
WSOM
Samuel Kaski
2000 C conf
Clustering by Similarity in an Auxiliary Space.
IDEAL
Janne Sinkkonen, Samuel Kaski
2000 — conf
Metrics that Learn Relevance.
IJCNN (5)
Samuel Kaski, Janne Sinkkonen
2000 J jnl
Self organization of a massive document collection.
IEEE Trans. Neural Networks Learn. Syst.
Teuvo Kohonen, Samuel Kaski, Krista Lagus, Jarkko Salojärvi, Jukka Honkela, Vesa Paatero, Antti Saarela
1999 J jnl
Websom for Textual Data Mining.
Artif. Intell. Rev.
Krista Lagus, Timo Honkela, Samuel Kaski, Teuvo Kohonen
1998 B conf
Methods for interpreting a self-organized map in data analysis.
ESANN
Samuel Kaski, Janne Nikkilä, Teuvo Kohonen
1998 J jnl
WEBSOM - Self-organizing maps of document collections.
Neurocomputing
Samuel Kaski, Timo Honkela, Krista Lagus, Teuvo Kohonen
1997 J jnl
Computationally Efficient Approximation of a Probabilistic Model for Document Representation in the WEBSOM Full-Text Analysis Method.
Neural Process. Lett.
Samuel Kaski
1997 J jnl
Self-organized Formation of Various Invariant-feature Filters in the Adaptive-subspace SOM.
Neural Comput.
Teuvo Kohonen, Samuel Kaski, Harri Lappalainen
1996 C conf
Comparing Self-Organizing Maps.
ICANN
Samuel Kaski, Krista Lagus
1996 — conf
Compression of vector quantization code sequences based on code frequencies and spatial redundancies.
ICIP (3)
Jari Kangas, Samuel Kaski
1996 — conf
Exploration of full-text databases with self-organizing maps.
ICNN
Timo Honkela, Samuel Kaski, Krista Lagus, Teuvo Kohonen
1996 A* conf
Self-Organizing Maps of Document Collections: A New Approach to Interactive Exploration.
KDD
Krista Lagus, Timo Honkela, Samuel Kaski, Teuvo Kohonen
1996 C conf
Very Large Two-Level SOM for the Browsing of Newsgroups.
ICANN
Teuvo Kohonen, Samuel Kaski, Krista Lagus, Timo Honkela
1995 J jnl
Self-organizing map in recognition of topographic patterns of EEG spectra.
IEEE Trans. Biomed. Eng.
Sirkka-Liisa Joutsiniemi, Samuel Kaski, T. Andreo Larsen
1994 J jnl
Winner-take-all networks for physiological models of competitive learning.
Neural Networks
Samuel Kaski, Teuvo Kohonen
1992 — conf
Using phoneme group specific LVQ-codebooks with HMMs.
ICSLP
Pekka Utela, Samuel Kaski, Kari Torkkola