Samuel Kaski - researchr alias

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Viewing Publication 1 - 100 from 304

2025

Video-Language Critic: Transferable Reward Functions for Language-Conditioned RoboticsMinttu Alakuijala, Reginald McLean, Isaac Woungang, Nariman Farsad, Samuel Kaski, Pekka Marttinen, Kai Yuan. tmlr, 2025, 2025. [doi]

Cost-aware simulation-based inferenceAyush Bharti, Daolang Huang, Samuel Kaski, François-Xavier Briol. aistats 2025: 28-36 [doi]

From Alexnet to Transformers: Measuring the Non-linearity of Deep Neural Networks with Affine Optimal TransportQuentin Bouniot, Ievgen Redko, Anton Mallasto, Charlotte Laclau, Oliver Struckmeier, Karol Arndt, Markus Heinonen, Ville Kyrki, Samuel Kaski. cvpr 2025: 25250-25260 [doi]

Amortized Probabilistic Conditioning for Optimization, Simulation and InferencePaul Edmund Chang, Nasrulloh Ratu Bagus Satrio Loka, Daolang Huang, Ulpu Remes, Samuel Kaski, Luigi Acerbi. aistats 2025: 703-711 [doi]

When do GFlowNets learn the right distribution?Tiago da Silva, Rodrigo Barreto Alves, Eliezer de Souza da Silva, Amauri H. Souza, Vikas Garg 0001, Samuel Kaski, Diego Mesquita. iclr 2025: [doi]

DroneDiffusion: Robust Quadrotor Dynamics Learning with Diffusion ModelsAvirup Das, Rishabh Dev Yadav, Sihao Sun, Mingfei Sun 0001, Samuel Kaski, Wei Pan 0004. icra 2025: 1604-1610 [doi]

Multi-target property prediction and optimization using latent spaces of generative modelAnirudh Jain, Markus Heinonen, Heikki Käsnänen, Julius Sipilä, Samuel Kaski. mlst, 6(2):25042, 2025. [doi]

What Ails Generative Structure-based Drug Design: Expressivity is Too Little or Too Much?Rafal Karczewski, Samuel Kaski, Markus Heinonen, Vikas K. Garg 0001. aistats 2025: 3187-3195 [doi]

VitroBert: modeling DILI by pretraining BERT on in vitro dataMuhammad Arslan Masood, Anamya Ajjolli Nagaraja, Katia Belaid, Natalie Mesens, Hugo Ceulemans, Samuel Kaski, Dorota Herman, Markus Heinonen. jcheminf, 17(1):119, December 2025. [doi]

Molecular property prediction using pretrained-BERT and Bayesian active learning: a data-efficient approach to drug designMuhammad Arslan Masood, Samuel Kaski, Tianyu Cui. jcheminf, 17(1):58, December 2025. [doi]

E-GuARD: expert-guided augmentation for the robust detection of compounds interfering with biological assaysVincenzo Palmacci, Yasmine Nahal, Matthias Welsch, Ola Engkvist, Samuel Kaski, Johannes Kirchmair. jcheminf, 17(1):64, December 2025. [doi]

Generalization and Distributed Learning of GFlowNetsTiago Silva, Amauri H. Souza, Omar Rivasplata, Vikas Garg 0001, Samuel Kaski, Diego Mesquita. iclr 2025: [doi]

Proxy-informed Bayesian transfer learning with unknown sourcesSabina J. Sloman, Julien Martinelli, Samuel Kaski. uai 2025: 3958-3978 [doi]

Privacy-Preserving Neural Processes for Probabilistic User ModelingAmir Sonee, Haripriya Harikumar, Alex Hämäläinen, Lukas Prediger, Samuel Kaski. uai 2025: 3979-3998 [doi]

Misspecification-robust likelihood-free inference in high dimensionsOwen Thomas, Raquel Sá-Leão, Hermínia de Lencastre, Samuel Kaski, Jukka Corander, Henri Pesonen. cstat, 40(8):4399-4439, November 2025. [doi]

PABBO: Preferential Amortized Black-Box OptimizationXinyu Zhang, Daolang Huang, Samuel Kaski, Julien Martinelli. iclr 2025: [doi]

2024

Likelihood-free inference in state-space models with unknown dynamicsAlexander Aushev, Thong Tran, Henri Pesonen, Andrew Howes, Samuel Kaski. sac, 34(1):27, February 2024. [doi]

Embarrassingly Parallel GFlowNetsTiago da Silva, Luiz Max Carvalho, Amauri H. Souza, Samuel Kaski, Diego Mesquita. icml 2024: 45406-45431 [doi]

Targeted Active Learning for Bayesian Decision-MakingLouis Filstroff, Iiris Sundin, Petrus Mikkola, Aleksei Tiulpin, Juuso Kylmäoja, Samuel Kaski. tmlr, 2024, 2024. [doi]

Estimating treatment effects from single-arm trials via latent-variable modelingManuel Haussmann, Tran Minh Son Le, Viivi Halla-aho, Samu Kurki, Jussi Leinonen, Miika Koskinen, Samuel Kaski, Harri Lähdesmäki. aistats 2024: 2926-2934 [doi]

Amortized Bayesian Experimental Design for Decision-MakingDaolang Huang, Yujia Guo, Luigi Acerbi, Samuel Kaski. nips 2024: [doi]

Uncoupled Learning of Differential Stackelberg Equilibria with CommitmentsRobert T. Loftin, Mustafa Mert Çelikok, Herke van Hoof, Samuel Kaski, Frans A. Oliehoek. atal 2024: 1265-1273 [doi]

Learning relevant contextual variables within Bayesian optimizationJulien Martinelli, Ayush Bharti, Armi Tiihonen, S. T. John, Louis Filstroff, Sabina J. Sloman, Patrick Rinke, Samuel Kaski. uai 2024: 2450-2470 [doi]

Deep Bayesian Experimental Design for Drug DiscoveryMuhammad Arslan Masood, Tianyu Cui, Samuel Kaski. icann 2025: 149-159 [doi]

Balancing Imbalanced Toxicity Models: Using MolBERT with Focal LossMuhammad Arslan Masood, Samuel Kaski, Hugo Ceulemans, Dorota Herman, Markus Heinonen. icann 2025: 82-97 [doi]

Metis: a python-based user interface to collect expert feedback for generative chemistry modelsJanosch Menke, Yasmine Nahal, Esben Jannik Bjerrum, Mikhail Kabeshov, Samuel Kaski, Ola Engkvist. jcheminf, 16(1):100, December 2024. [doi]

Human-in-the-loop active learning for goal-oriented molecule generationYasmine Nahal, Janosch Menke, Julien Martinelli, Markus Heinonen, Mikhail Kabeshov, Jon Paul Janet, Eva Nittinger, Ola Engkvist, Samuel Kaski. jcheminf, 16(1):138, December 2024. [doi]

Towards Interpretable Models of Chemist Preferences for Human-in-the-Loop Assisted Drug DiscoveryYasmine Nahal, Markus Heinonen, Mikhail Kabeshov, Jon Paul Janet, Eva Nittinger, Ola Engkvist, Samuel Kaski. icann 2025: 58-70 [doi]

TSGM: A Flexible Framework for Generative Modeling of Synthetic Time SeriesAlexander V. Nikitin, Letizia Iannucci, Samuel Kaski. nips 2024: [doi]

Preference Learning of Latent Decision Utilities with a Human-like Model of Preferential ChoiceSebastiaan De Peuter, Shibei Zhu, Yujia Guo, Andrew Howes, Samuel Kaski. nips 2024: [doi]

Collaborative learning from distributed data with differentially private synthetic dataLukas Prediger, Joonas Jälkö, Antti Honkela, Samuel Kaski. midm, 24(1):167, December 2024. [doi]

Bayesian Active Learning in the Presence of Nuisance ParametersSabina J. Sloman, Ayush Bharti, Julien Martinelli, Samuel Kaski. uai 2024: 3245-3263 [doi]

Improving robustness to corruptions with multiplicative weight perturbationsTrung Q. Trinh, Markus Heinonen, Luigi Acerbi, Samuel Kaski. nips 2024: [doi]

Input-gradient space particle inference for neural network ensemblesTrung Q. Trinh, Markus Heinonen, Luigi Acerbi, Samuel Kaski. iclr 2024: [doi]

Open Ad Hoc Teamwork with Cooperative Game TheoryJianhong Wang, Yang Li 0116, Yuan Zhang, Wei Pan 0004, Samuel Kaski. icml 2024: 50902-50930 [doi]

Entity Footprinting: Modeling Contextual User States via Digital Activity MonitoringZeinab R. Yousefi, Vuong Thanh Tung, Marie Al-Ghossein, Tuukka Ruotsalo, Giulio Jaccuci, Samuel Kaski. tiis, 14(2):9, June 2024. [doi]

2023

Optimally-weighted Estimators of the Maximum Mean Discrepancy for Likelihood-Free InferenceAyush Bharti, Masha Naslidnyk, Oscar Key, Samuel Kaski, François-Xavier Briol. icml 2023: 2289-2312 [doi]

Compositional Sculpting of Iterative Generative ProcessesTimur Garipov, Sebastiaan De Peuter, Ge Yang, Vikas K. Garg, Samuel Kaski, Tommi S. Jaakkola. nips 2023: [doi]

Intelligent digital tools for screening of brain connectivity and dementia risk estimation in people affected by mild cognitive impairment: the AI-Mind clinical study protocolIra 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 0002, 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. finr, 17, June 2023. [doi]

Learning Robust Statistics for Simulation-based Inference under Model MisspecificationDaolang Huang, Ayush Bharti, Amauri H. Souza, Luigi Acerbi, Samuel Kaski. nips 2023: [doi]

Practical Equivariances via Relational Conditional Neural ProcessesDaolang Huang, Manuel Haussmann, Ulpu Remes, St John, Grégoire Clarté, Kevin Sebastian Luck, Samuel Kaski, Luigi Acerbi. nips 2023: [doi]

Differentiable user modelsAlex Hämäläinen, Mustafa Mert Çelikok, Samuel Kaski. uai 2023: 798-808 [doi]

DPVIm: Differentially Private Variational Inference ImprovedJoonas Jälkö, Lukas Prediger, Antti Honkela, Samuel Kaski. tmlr, 2023, 2023. [doi]

Cooperative Bayesian Optimization for Imperfect AgentsAli Khoshvishkaie, Petrus Mikkola, Pierre-Alexandre Murena, Samuel Kaski. pkdd 2023: 475-490 [doi]

Multi-Fidelity Bayesian Optimization with Unreliable Information SourcesPetrus Mikkola, Julien Martinelli, Louis Filstroff, Samuel Kaski. aistats 2023: 7425-7454 [doi]

Zero-Shot Assistance in Sequential Decision ProblemsSebastiaan De Peuter, Samuel Kaski. AAAI 2023: 11551-11559 [doi]

Toward AI assistants that let designers designSebastiaan De Peuter, Antti Oulasvirta, Samuel Kaski. aim, 44(1):85-96, March 2023. [doi]

Noise-Aware Statistical Inference with Differentially Private Synthetic DataOssi Räisä, Joonas Jälkö, Samuel Kaski, Antti Honkela. aistats 2023: 3620-3643 [doi]

Characterizing personalized effects of family information on disease risk using graph representation learningSophie Wharrie, Zhiyu Yang, Andrea Ganna, Samuel Kaski. mlhc 2023: 824-845 [doi]

HAPNEST: efficient, large-scale generation and evaluation of synthetic datasets for genotypes and phenotypesSophie 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. bioinformatics, 39(9), September 2023. [doi]

The influence of inter-regional delays in generating large-scale brain networks of phase synchronizationNitin Williams, A. Ojanperä, Felix Siebenhühner, Benedetta Toselli, Satu Palva, Gabriele Arnulfo, Samuel Kaski, J. Matias Palva. neuroimage, 279:120318, October 2023. [doi]

Stochastic cluster embeddingZhirong Yang, Yuwei Chen, Denis Sedov, Samuel Kaski, Jukka Corander. sac, 33(1):12, 2023. [doi]

Imitation-Guided Multimodal Policy Generation from Behaviourally Diverse DemonstrationsShibei Zhu, Rituraj Kaushik, Samuel Kaski, Ville Kyrki. iros 2023: 1675-1682 [doi]

Modeling needs user modelingMustafa Mert Çelikok, Pierre-Alexandre Murena, Samuel Kaski. frai, 6, February 2023. [doi]

Teaching to Learn: Sequential Teaching of Learners with Internal StatesMustafa Mert Çelikok, Pierre-Alexandre Murena, Samuel Kaski. AAAI 2023: 5939-5947 [doi]

2022

Likelihood-free inference with deep Gaussian processesAlexander Aushev, Henri Pesonen, Markus Heinonen, Jukka Corander, Samuel Kaski. csda, 174:107529, 2022. [doi]

Approximate Bayesian Computation with Domain Expert in the LoopAyush Bharti, Louis Filstroff, Samuel Kaski. icml 2022: 1893-1905 [doi]

Deconfounded Representation Similarity for Comparison of Neural NetworksTianyu Cui, Yogesh Kumar, Pekka Marttinen, Samuel Kaski. nips 2022: [doi]

Parallel MCMC Without Embarrassing FailuresDaniel Augusto de Souza, Diego Mesquita, Samuel Kaski, Luigi Acerbi. aistats 2022: 1786-1804 [doi]

Variational multiple shooting for Bayesian ODEs with Gaussian processesPashupati Hegde, Çagatay Yildiz, Harri Lähdesmäki, Samuel Kaski, Markus Heinonen. uai 2022: 790-799 [doi]

Identification of multiplicatively acting modulatory mutational signatures in cancerDovydas Kiciatovas, Qingli Guo, Miika Kailas, Henri Pesonen, Jukka Corander, Samuel Kaski, Esa Pitkänen, Ville Mustonen. bmcbi, 23(1):522, 2022. [doi]

Human-in-the-Loop Large-Scale Predictive Maintenance of WorkstationsAlexander V. Nikitin, Samuel Kaski. kdd 2022: 3682-3690 [doi]

Non-separable Spatio-temporal Graph Kernels via SPDEsAlexander V. Nikitin, St John, Arno Solin, Samuel Kaski. aistats 2022: 10640-10660 [doi]

DIVERSE: Bayesian Data IntegratiVE Learning for Precise Drug ResponSE PredictionBetül Güvenç Paltun, Samuel Kaski, Hiroshi Mamitsuka. tcbb, 19(4):2197-2207, 2022. [doi]

d3p - A Python Package for Differentially-Private Probabilistic ProgrammingLukas Prediger, Niki A. Loppi, Samuel Kaski, Antti Honkela. popets, 2022(2):407-425, 2022. [doi]

Provably expressive temporal graph networksAmauri H. Souza, Diego Mesquita, Samuel Kaski, Vikas Garg. nips 2022: [doi]

Human-in-the-loop assisted de novo molecular designIiris Sundin, Alexey Voronov, Haoping Xiao, Kostas Papadopoulos, Esben Jannik Bjerrum, Markus Heinonen, Atanas Patronov, Samuel Kaski, Ola Engkvist. jcheminf, 14(1):86, 2022. [doi]

Tackling covariate shift with node-based Bayesian neural networksTrung Q. Trinh, Markus Heinonen, Luigi Acerbi, Samuel Kaski. icml 2022: 21751-21775 [doi]

Modular Flows: Differential Molecular GenerationYogesh Verma, Samuel Kaski, Markus Heinonen, Vikas Garg. nips 2022: [doi]

EntityBot: Actionable Entity Recommendations for Everyday Digital TaskTung Vuong, Salvatore Andolina, Giulio Jacucci, Pedram Daee, Khalil Klouche, Mats Sjöberg, Tuukka Ruotsalo, Samuel Kaski. CHI 2022: [doi]

Best-Response Bayesian Reinforcement Learning with Bayes-adaptive POMDPs for CentaursMustafa Mert Çelikok, Frans A. Oliehoek, Samuel Kaski. atal 2022: 235-243 [doi]

2021

Federated stochastic gradient Langevin dynamicsKhaoula el Mekkaoui, Diego Mesquita, Paul Blomstedt, Samuel Kaski. uai 2021: 1703-1712 [doi]

Entity Recommendation for Everyday Digital TasksGiulio Jacucci, Pedram Daee, Tung Thanh Vuong, Salvatore Andolina, Khalil Klouche, Mats Sjöberg, Tuukka Ruotsalo, Samuel Kaski. TOCHI, 28(5), 2021. [doi]

Privacy-preserving data sharing via probabilistic modelingJoonas Jälkö, Eemil Lagerspetz, Jari Haukka, Sasu Tarkoma, Antti Honkela, Samuel Kaski. patterns, 2(7):100271, 2021. [doi]

Behaviour-Conditioned Policies for Cooperative Reinforcement Learning TasksAntti Keurulainen, Isak Westerlund, Ariel Kwiatkowski, Samuel Kaski, Alexander Ilin. icann 2021: 493-504 [doi]

Learning to Assist Agents by Observing ThemAntti Keurulainen, Isak Westerlund, Samuel Kaski, Alexander Ilin. icann 2021: 519-530 [doi]

Differentially Private Bayesian Inference for Generalized Linear ModelsTejas Kulkarni, Joonas Jälkö, Antti Koskela, Samuel Kaski, Antti Honkela. icml 2021: 5838-5849 [doi]

Bayesian Inference for Optimal Transport with Stochastic CostAnton Mallasto, Markus Heinonen, Samuel Kaski. acml 2021: 1601-1616 [doi]

Decision Rule Elicitation for Domain AdaptationAlexander Nikitin, Samuel Kaski. IUI 2021: 244-248 [doi]

Improving drug response prediction by integrating multiple data sources: matrix factorization, kernel and network-based approachesBetül Güvenç Paltun, Hiroshi Mamitsuka, Samuel Kaski. bib, 22(1):346-359, 2021. [doi]

Machine learning approaches for drug combination therapiesBetül Güvenç Paltun, Samuel Kaski, Hiroshi Mamitsuka. bib, 22(6), 2021. [doi]

De-randomizing MCMC dynamics with the diffusion Stein operatorZheyang Shen, Markus Heinonen, Samuel Kaski. nips 2021: 17507-17517 [doi]

EntityBot: Supporting Everyday Digital Tasks with Entity RecommendationsVuong Thanh Tung, Salvatore Andolina, Giulio Jacucci, Pedram Daee, Khalil Klouche, Mats Sjöberg, Tuukka Ruotsalo, Samuel Kaski. recsys 2021: 753-756 [doi]

2020

A High-Performance Implementation of Bayesian Matrix Factorization with Limited CommunicationTom Vander Aa, Xiangju Qin, Paul Blomstedt, Roel Wuyts, Wilfried Verachtert, Samuel Kaski. iccs 2020: 3-16 [doi]

A decision-theoretic approach for model interpretability in Bayesian frameworkHomayun Afrabandpey, Tomi Peltola, Juho Piironen, Aki Vehtari, Samuel Kaski. ml, 109(9):1855-1876, 2020. [doi]

Human Strategic Steering Improves Performance of Interactive OptimizationFabio Colella, Pedram Daee, Jussi Jokinen, Antti Oulasvirta, Samuel Kaski. um 2020: 293-297 [doi]

Learning Global Pairwise Interactions with Bayesian Neural NetworksTianyu Cui, Pekka Marttinen, Samuel Kaski. ecai 2020: 1087-1094 [doi]

Rethinking pooling in graph neural networksDiego P. P. Mesquita, Amauri H. Souza Jr., Samuel Kaski. nips 2020: [doi]

Projective Preferential {BPetrus Mikkola, Milica Todorovic, Jari Järvi, Patrick Rinke, Samuel Kaski. icml 2020: 6884-6892 [doi]

Interactive faceted query suggestion for exploratory search: Whole-session effectiveness and interaction engagementTuukka Ruotsalo, Giulio Jacucci, Samuel Kaski. jasis, 71(7):742-756, 2020. [doi]

Learning spectrograms with convolutional spectral kernelsZheyang Shen, Markus Heinonen, Samuel Kaski. aistats 2020: 3826-3836 [doi]

Local dimension reduction of summary statistics for likelihood-free inferenceJukka Sirén, Samuel Kaski. sac, 30(3):559-570, 2020. [doi]

Scalable Probabilistic Matrix Factorization with Graph-Based PriorsJonathan Strahl, Jaakko Peltonen, Hiroshi Mamitsuka, Samuel Kaski. AAAI 2020: 5851-5858 [doi]

2019

Human-in-the-loop Active Covariance Learning for Improving Prediction in Small Data SetsHomayun Afrabandpey, Tomi Peltola, Samuel Kaski. IJCAI 2019: 1959-1966 [doi]

Deep Convolutional Gaussian ProcessesKenneth Blomqvist, Samuel Kaski, Markus Heinonen. pkdd 2020: 582-597 [doi]

Modelling G×E with historical weather information improves genomic prediction in new environmentsJussi Gillberg, Pekka Marttinen, Hiroshi Mamitsuka, Samuel Kaski. bioinformatics, 35(20):4045-4052, 2019. [doi]

Embarrassingly Parallel MCMC using Deep Invertible TransformationsDiego Mesquita, Paul Blomstedt, Samuel Kaski. uai 2018: 496 [doi]

Representation transfer for differentially private drug sensitivity predictionTeppo Mikael Niinimäki, Mikko A. Heikkilä, Antti Honkela, Samuel Kaski. bioinformatics, 35(14), 2019. [doi]

Distributed Bayesian matrix factorization with limited communicationXiangju Qin, Paul Blomstedt, Eemeli Leppäaho, Pekka Parviainen, Samuel Kaski. ml, 108(10):1805-1830, 2019. [doi]

Scalable Bayesian Non-linear Matrix CompletionXiangju Qin, Paul Blomstedt, Samuel Kaski. IJCAI 2019: 3275-3281 [doi]

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