Samuel Kaski

ORCID

Publication Activity (10 Years)

Years Active: 1992-2024
Publications (10 Years): 239

Top Venues

Publications

Manuel Haussmann, Tran Minh Son Le, Viivi Halla-aho, Samu Kurki, Jussi Leinonen, Miika Koskinen, Samuel Kaski, Harri Lähdesmäki
Estimating treatment effects from single-arm trials via latent-variable modeling. AISTATS (2024)
Minttu Alakuijala, Reginald McLean, Isaac Woungang, Nariman Farsad, Samuel Kaski, Pekka Marttinen, Kai Yuan
Video-Language Critic: Transferable Reward Functions for Language-Conditioned Robotics. CoRR (2024)
Trung Q. Trinh, Markus Heinonen, Luigi Acerbi, Samuel Kaski
Input-gradient space particle inference for neural network ensembles. ICLR (2024)
Tiago da Silva, Luiz Max Carvalho, Amauri H. Souza, Samuel Kaski, Diego Mesquita
Embarrassingly Parallel GFlowNets. CoRR (2024)
Lukas Prediger, Joonas Jälkö, Antti Honkela, Samuel Kaski
Collaborative learning from distributed data with differentially private synthetic data. BMC Medical Informatics Decis. Mak. 24 (1) (2024)
Ali Khoshvishkaie, Petrus Mikkola, Pierre-Alexandre Murena, Samuel Kaski
Cooperative Bayesian Optimization for Imperfect Agents. CoRR (2024)
Robert T. Loftin, Mustafa Mert Çelikok, Herke van Hoof, Samuel Kaski, Frans A. Oliehoek
Uncoupled Learning of Differential Stackelberg Equilibria with Commitments. AAMAS (2024)
Alexander Aushev, Thong Tran, Henri Pesonen, Andrew Howes, Samuel Kaski
Likelihood-free inference in state-space models with unknown dynamics. Stat. Comput. 34 (1) (2024)
Zeinab R. Yousefi, Vuong Thanh Tung, Marie Al-Ghossein, Tuukka Ruotsalo, Giulio Jaccuci, Samuel Kaski
Entity Footprinting: Modeling Contextual User States via Digital Activity Monitoring. ACM Trans. Interact. Intell. Syst. 14 (2) (2024)
Anjie Liu, Jianhong Wang, Haoxuan Li, Xu Chen, Jun Wang, Samuel Kaski, Mengyue Yang
Attaining Human's Desirable Outcomes in Human-AI Interaction via Structural Causal Games. CoRR (2024)
Jianhong Wang, Yang Li, Yuan Zhang, Wei Pan, Samuel Kaski
Open Ad Hoc Teamwork with Cooperative Game Theory. CoRR (2024)
Stephen Menary, Samuel Kaski, Andre Freitas
Transformer Normalisation Layers and the Independence of Semantic Subspaces. CoRR (2024)
Janosch Menke, Yasmine Nahal, Esben Jannik Bjerrum, Mikhail Kabeshov, Samuel Kaski, Ola Engkvist
Metis: a python-based user interface to collect expert feedback for generative chemistry models. J. Cheminformatics 16 (1) (2024)
Trung Trinh, Markus Heinonen, Luigi Acerbi, Samuel Kaski
Improving robustness to corruptions with multiplicative weight perturbations. CoRR (2024)
Erik Nascimento, Diego Mesquita, Samuel Kaski, Amauri H. Souza
In-n-Out: Calibrating Graph Neural Networks for Link Prediction. CoRR (2024)
Louis Filstroff, Iiris Sundin, Petrus Mikkola, Aleksei Tiulpin, Juuso Kylmäoja, Samuel Kaski
Targeted Active Learning for Bayesian Decision-Making. Trans. Mach. Learn. Res. 2024 (2024)
Marshal Arijona Sinaga, Julien Martinelli, Vikas Garg, Samuel Kaski
Heteroscedastic Preferential Bayesian Optimization with Informative Noise Distributions. CoRR (2024)
Shibei Zhu, Tran Nguyen Le, Samuel Kaski, Ville Kyrki
Online Learning of Human Constraints from Feedback in Shared Autonomy. CoRR (2024)
Sebastiaan De Peuter, Antti Oulasvirta, Samuel Kaski
Toward AI assistants that let designers design. AI Mag. 44 (1) (2023)
Mustafa Mert Çelikok, Pierre-Alexandre Murena, Samuel Kaski
Modeling needs user modeling. Frontiers Artif. Intell. 6 (2023)
Tiago da Silva, Eliezer Silva, Adèle H. Ribeiro, António Góis, Dominik Heider, Samuel Kaski, Diego Mesquita
Human-in-the-Loop Causal Discovery under Latent Confounding using Ancestral GFlowNets. CoRR (2023)
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
HAPNEST: efficient, large-scale generation and evaluation of synthetic datasets for genotypes and phenotypes. Bioinform. 39 (9) (2023)
Alexander V. Nikitin, Letizia Iannucci, Samuel Kaski
TSGM: A Flexible Framework for Generative Modeling of Synthetic Time Series. CoRR (2023)
Petrus Mikkola, Julien Martinelli, Louis Filstroff, Samuel Kaski
Multi-Fidelity Bayesian Optimization with Unreliable Information Sources. AISTATS (2023)
Timur Garipov, Sebastiaan De Peuter, Ge Yang, Vikas K. Garg, Samuel Kaski, Tommi S. Jaakkola
Compositional Sculpting of Iterative Generative Processes. NeurIPS (2023)
Ossi Räisä, Joonas Jälkö, Samuel Kaski, Antti Honkela
Noise-Aware Statistical Inference with Differentially Private Synthetic Data. AISTATS (2023)
Lukas Prediger, Joonas Jälkö, Antti Honkela, Samuel Kaski
Collaborative Learning From Distributed Data With Differentially Private Synthetic Twin Data. CoRR (2023)
Daolang Huang, Ayush Bharti, Amauri H. Souza, Luigi Acerbi, Samuel Kaski
Learning Robust Statistics for Simulation-based Inference under Model Misspecification. CoRR (2023)
Robert Loftin, Mustafa Mert Çelikok, Herke van Hoof, Samuel Kaski, Frans A. Oliehoek
Uncoupled Learning of Differential Stackelberg Equilibria with Commitments. CoRR (2023)
Alex Hämäläinen, Mustafa Mert Çelikok, Samuel Kaski
Differentiable user models. UAI (2023)
Zhirong Yang, Yuwei Chen, Denis Sedov, Samuel Kaski, Jukka Corander
Stochastic cluster embedding. Stat. Comput. 33 (1) (2023)
Daolang Huang, Manuel Haussmann, Ulpu Remes, ST John, Grégoire Clarté, Kevin Sebastian Luck, Samuel Kaski, Luigi Acerbi
Practical Equivariances via Relational Conditional Neural Processes. CoRR (2023)
Quentin Bouniot, Ievgen Redko, Anton Mallasto, Charlotte Laclau, Karol Arndt, Oliver Struckmeier, Markus Heinonen, Ville Kyrki, Samuel Kaski
Understanding deep neural networks through the lens of their non-linearity. CoRR (2023)
Joonas Jälkö, Lukas Prediger, Antti Honkela, Samuel Kaski
DPVIm: Differentially Private Variational Inference Improved. Trans. Mach. Learn. Res. 2023 (2023)
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 Sousa, Abdillah Suyuthi, Mathias Toft, Pablo Toharia, Thomas Tveitstøl, Mats Tveter, Ramesh Upreti, Robin J. Vermeulen, Fabrizio Vecchio, Anis Yazidi, Paolo Maria Rossini
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 17 (2023)
Trung Q. Trinh, Markus Heinonen, Luigi Acerbi, Samuel Kaski
Input gradient diversity for neural network ensembles. CoRR (2023)
Timur Garipov, Sebastiaan De Peuter, Ge Yang, Vikas K. Garg, Samuel Kaski, Tommi S. Jaakkola
Compositional Sculpting of Iterative Generative Processes. CoRR (2023)
Sabina J. Sloman, Ayush Bharti, Samuel Kaski
The Fundamental Dilemma of Bayesian Active Meta-learning. CoRR (2023)
Sebastiaan De Peuter, Samuel Kaski
Zero-Shot Assistance in Sequential Decision Problems. AAAI (2023)
Julien Martinelli, Ayush Bharti, S. T. John, Armi Tiihonen, Sabina Sloman, Louis Filstroff, Samuel Kaski
Cost-aware learning of relevant contextual variables within Bayesian optimization. CoRR (2023)
Nitin Williams, A. Ojanperä, Felix Siebenhühner, Benedetta Toselli, Satu Palva, Gabriele Arnulfo, Samuel Kaski, J. Matias Palva
The influence of inter-regional delays in generating large-scale brain networks of phase synchronization. NeuroImage 279 (2023)
Mustafa Mert Çelikok, Pierre-Alexandre Murena, Samuel Kaski
Teaching to Learn: Sequential Teaching of Learners with Internal States. AAAI (2023)
Manuel Haussmann, Tran Minh Son Le, Viivi Halla-aho, Samu Kurki, Jussi Leinonen, Miika Koskinen, Samuel Kaski, Harri Lähdesmäki
Estimating treatment effects from single-arm trials via latent-variable modeling. CoRR (2023)
Sophie Wharrie, Zhiyu Yang, Andrea Ganna, Samuel Kaski
Characterizing personalized effects of family information on disease risk using graph representation learning. MLHC (2023)
Daolang Huang, Manuel Haussmann, Ulpu Remes, ST John, Grégoire Clarté, Kevin Sebastian Luck, Samuel Kaski, Luigi Acerbi
Practical Equivariances via Relational Conditional Neural Processes. NeurIPS (2023)
Ayush Bharti, Masha Naslidnyk, Oscar Key, Samuel Kaski, François-Xavier Briol
Optimally-weighted Estimators of the Maximum Mean Discrepancy for Likelihood-Free Inference. ICML (2023)
Daolang Huang, Ayush Bharti, Amauri H. Souza, Luigi Acerbi, Samuel Kaski
Learning Robust Statistics for Simulation-based Inference under Model Misspecification. NeurIPS (2023)
Sophie Wharrie, Samuel Kaski
Causal Similarity-Based Hierarchical Bayesian Models. CoRR (2023)
Alexander Aushev, Aini Putkonen, Gregoire Clarte, Suyog Chandramouli, Luigi Acerbi, Samuel Kaski, Andrew Howes
Online simulator-based experimental design for cognitive model selection. CoRR (2023)
Ali Khoshvishkaie, Petrus Mikkola, Pierre-Alexandre Murena, Samuel Kaski
Cooperative Bayesian Optimization for Imperfect Agents. ECML/PKDD (1) (2023)
Shibei Zhu, Rituraj Kaushik, Samuel Kaski, Ville Kyrki
Imitation-Guided Multimodal Policy Generation from Behaviourally Diverse Demonstrations. IROS (2023)
Yogesh Verma, Samuel Kaski, Markus Heinonen, Vikas Garg
Modular Flows: Differential Molecular Generation. CoRR (2022)
Yogesh Verma, Samuel Kaski, Markus Heinonen, Vikas Garg
Modular Flows: Differential Molecular Generation. NeurIPS (2022)
Mustafa Mert Çelikok, Frans A. Oliehoek, Samuel Kaski
Best-Response Bayesian Reinforcement Learning with Bayes-adaptive POMDPs for Centaurs. CoRR (2022)
Sebastiaan De Peuter, Samuel Kaski
Zero-Shot Assistance in Novel Decision Problems. CoRR (2022)
Betül Güvenç Paltun, Samuel Kaski, Hiroshi Mamitsuka
DIVERSE: Bayesian Data IntegratiVE Learning for Precise Drug ResponSE Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (4) (2022)
Mustafa Mert Çelikok, Frans A. Oliehoek, Samuel Kaski
Best-Response Bayesian Reinforcement Learning with Bayes-adaptive POMDPs for Centaurs. AAMAS (2022)
Alex Hämäläinen, Mustafa Mert Çelikok, Samuel Kaski
Differentiable User Models. CoRR (2022)
Alexander V. Nikitin, Samuel Kaski
Human-in-the-Loop Large-Scale Predictive Maintenance of Workstations. CoRR (2022)
Joonas Jälkö, Lukas Prediger, Antti Honkela, Samuel Kaski
DPVIm: Differentially Private Variational Inference Improved. CoRR (2022)
Trung Q. Trinh, Markus Heinonen, Luigi Acerbi, Samuel Kaski
Tackling covariate shift with node-based Bayesian neural networks. CoRR (2022)
Ayush Bharti, Louis Filstroff, Samuel Kaski
Approximate Bayesian Computation with Domain Expert in the Loop. ICML (2022)
Tianyu Cui, Yogesh Kumar, Pekka Marttinen, Samuel Kaski
Deconfounded Representation Similarity for Comparison of Neural Networks. NeurIPS (2022)
Pashupati Hegde, Çagatay Yildiz, Harri Lähdesmäki, Samuel Kaski, Markus Heinonen
Variational multiple shooting for Bayesian ODEs with Gaussian processes. UAI (2022)
Iiris Sundin, Alexey Voronov, Haoping Xiao, Kostas Papadopoulos, Esben Jannik Bjerrum, Markus Heinonen, Atanas Patronov, Samuel Kaski, Ola Engkvist
Human-in-the-loop assisted de novo molecular design. J. Cheminformatics 14 (1) (2022)
Dovydas Kiciatovas, Qingli Guo, Miika Kailas, Henri Pesonen, Jukka Corander, Samuel Kaski, Esa Pitkänen, Ville Mustonen
Identification of multiplicatively acting modulatory mutational signatures in cancer. BMC Bioinform. 23 (1) (2022)
Alexander Aushev, Henri Pesonen, Markus Heinonen, Jukka Corander, Samuel Kaski
Likelihood-free inference with deep Gaussian processes. Comput. Stat. Data Anal. 174 (2022)
Lukas Prediger, Niki A. Loppi, Samuel Kaski, Antti Honkela
d3p - A Python Package for Differentially-Private Probabilistic Programming. Proc. Priv. Enhancing Technol. 2022 (2) (2022)
Daniel Augusto de Souza, Diego Mesquita, Samuel Kaski, Luigi Acerbi
Parallel MCMC Without Embarrassing Failures. CoRR (2022)
Trung Q. Trinh, Markus Heinonen, Luigi Acerbi, Samuel Kaski
Tackling covariate shift with node-based Bayesian neural networks. ICML (2022)
Ossi Räisä, Joonas Jälkö, Samuel Kaski, Antti Honkela
Noise-Aware Statistical Inference with Differentially Private Synthetic Data. CoRR (2022)
Amauri H. Souza, Diego Mesquita, Samuel Kaski, Vikas Garg
Provably expressive temporal graph networks. CoRR (2022)
Daniel Augusto de Souza, Diego Mesquita, Samuel Kaski, Luigi Acerbi
Parallel MCMC Without Embarrassing Failures. AISTATS (2022)
Daolang Huang, Louis Filstroff, Petrus Mikkola, Runkai Zheng, Samuel Kaski
Bayesian Optimization Augmented with Actively Elicited Expert Knowledge. CoRR (2022)
Tianyu Cui, Yogesh Kumar, Pekka Marttinen, Samuel Kaski
Deconfounded Representation Similarity for Comparison of Neural Networks. CoRR (2022)
Alexander V. Nikitin, Samuel Kaski
Human-in-the-Loop Large-Scale Predictive Maintenance of Workstations. KDD (2022)
Petrus Mikkola, Julien Martinelli, Louis Filstroff, Samuel Kaski
Multi-Fidelity Bayesian Optimization with Unreliable Information Sources. CoRR (2022)
Alexander V. Nikitin, St John, Arno Solin, Samuel Kaski
Non-separable Spatio-temporal Graph Kernels via SPDEs. AISTATS (2022)
Amauri H. Souza, Diego Mesquita, Samuel Kaski, Vikas Garg
Provably expressive temporal graph networks. NeurIPS (2022)
Ayush Bharti, Louis Filstroff, Samuel Kaski
Approximate Bayesian Computation with Domain Expert in the Loop. CoRR (2022)
Tung Vuong, Salvatore Andolina, Giulio Jacucci, Pedram Daee, Khalil Klouche, Mats Sjöberg, Tuukka Ruotsalo, Samuel Kaski
EntityBot: Actionable Entity Recommendations for Everyday Digital Task. CHI Extended Abstracts (2022)
Antti Keurulainen, Isak Westerlund, Ariel Kwiatkowski, Samuel Kaski, Alexander Ilin
Behaviour-conditioned policies for cooperative reinforcement learning tasks. CoRR (2021)
Alexander Nikitin, S. T. John, Arno Solin, Samuel Kaski
Non-separable Spatio-temporal Graph Kernels via SPDEs. CoRR (2021)
Zhirong Yang, Yuwei Chen, Denis Sedov, Samuel Kaski, Jukka Corander
Stochastic Cluster Embedding. CoRR (2021)
Khaoula el Mekkaoui, Diego Mesquita, Paul Blomstedt, Samuel Kaski
Federated stochastic gradient Langevin dynamics. UAI (2021)
Vuong Thanh Tung, Salvatore Andolina, Giulio Jacucci, Pedram Daee, Khalil Klouche, Mats Sjöberg, Tuukka Ruotsalo, Samuel Kaski
EntityBot: Supporting Everyday Digital Tasks with Entity Recommendations. RecSys (2021)
Zheyang Shen, Markus Heinonen, Samuel Kaski
De-randomizing MCMC dynamics with the diffusion Stein operator. CoRR (2021)
Alexander Nikitin, Samuel Kaski
Decision Rule Elicitation for Domain Adaptation. IUI (2021)
Antti Keurulainen, Isak Westerlund, Ariel Kwiatkowski, Samuel Kaski, Alexander Ilin
Behaviour-Conditioned Policies for Cooperative Reinforcement Learning Tasks. ICANN (4) (2021)
Tejas Kulkarni, Joonas Jälkö, Antti Koskela, Samuel Kaski, Antti Honkela
Differentially Private Bayesian Inference for Generalized Linear Models. ICML (2021)
Alexander Aushev, Thong Tran, Henri Pesonen, Andrew Howes, Samuel Kaski
Likelihood-Free Inference in State-Space Models with Unknown Dynamics. CoRR (2021)
Betül Güvenç Paltun, Hiroshi Mamitsuka, Samuel Kaski
Improving drug response prediction by integrating multiple data sources: matrix factorization, kernel and network-based approaches. Briefings Bioinform. 22 (1) (2021)
Joonas Jälkö, Eemil Lagerspetz, Jari Haukka, Sasu Tarkoma, Antti Honkela, Samuel Kaski
Privacy-preserving data sharing via probabilistic modeling. Patterns 2 (7) (2021)
Alexander Nikitin, Samuel Kaski
Decision Rule Elicitation for Domain Adaptation. CoRR (2021)
Sebastiaan De Peuter, Antti Oulasvirta, Samuel Kaski
Toward AI Assistants That Let Designers Design. CoRR (2021)
Louis Filstroff, Iiris Sundin, Petrus Mikkola, Aleksei Tiulpin, Juuso Kylmäoja, Samuel Kaski
Targeted Active Learning for Bayesian Decision-Making. CoRR (2021)
Betül Güvenç Paltun, Samuel Kaski, Hiroshi Mamitsuka
Machine learning approaches for drug combination therapies. Briefings Bioinform. 22 (6) (2021)
Zheyang Shen, Markus Heinonen, Samuel Kaski
De-randomizing MCMC dynamics with the diffusion Stein operator. NeurIPS (2021)
Anton Mallasto, Markus Heinonen, Samuel Kaski
Bayesian Inference for Optimal Transport with Stochastic Cost. ACML (2021)
Pashupati Hegde, Çagatay Yildiz, Harri Lähdesmäki, Samuel Kaski, Markus Heinonen
Bayesian inference of ODEs with Gaussian processes. CoRR (2021)

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Publication Activity (10 Years)

Top Topics

Top Venues

Samuel Kaski