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ORCIDSamuel Kaski
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- affiliation: Aalto University, Finland
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2020 – today
- 2024
[j112]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): 100 (2024)- [j111]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): 167 (2024) - [j110]Alexander Aushev, Thong Tran, Henri Pesonen, Andrew Howes, Samuel Kaski:
Likelihood-free inference in state-space models with unknown dynamics. Stat. Comput. 34(1): 27 (2024) - [j109]Zeinab R. Yousefi, Vuong Thanh Tung, Marie Al-Ghossein, Tuukka Ruotsalo, Giulio Jacucci, Samuel Kaski:
Entity Footprinting: Modeling Contextual User States via Digital Activity Monitoring. ACM Trans. Interact. Intell. Syst. 14(2): 9 (2024) - [j108]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) - [c164]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: 2926-2934 - [c163]Robert T. Loftin, Mustafa Mert Çelikok, Herke van Hoof, Samuel Kaski, Frans A. Oliehoek:
Uncoupled Learning of Differential Stackelberg Equilibria with Commitments. AAMAS 2024: 1265-1273 - [c162]Yasmine Nahal, Markus Heinonen, Mikhail Kabeshov, Jon Paul Janet, Eva Nittinger, Ola Engkvist, Samuel Kaski:
Towards Interpretable Models of Chemist Preferences for Human-in-the-Loop Assisted Drug Discovery. AIDD@ICANN 2024: 58-70 - [c161]Muhammad Arslan Masood, Samuel Kaski, Hugo Ceulemans, Dorota Herman, Markus Heinonen:
Balancing Imbalanced Toxicity Models: Using MolBERT with Focal Loss. AIDD@ICANN 2024: 82-97 - [c160]Muhammad Arslan Masood, Tianyu Cui, Samuel Kaski:
Deep Bayesian Experimental Design for Drug Discovery. AIDD@ICANN 2024: 149-159 - [c159]Trung Q. Trinh, Markus Heinonen, Luigi Acerbi, Samuel Kaski:
Input-gradient space particle inference for neural network ensembles. ICLR 2024 - [c158]Tiago da Silva, Luiz Max Carvalho, Amauri H. Souza, Samuel Kaski, Diego Mesquita:
Embarrassingly Parallel GFlowNets. ICML 2024 - [c157]Jianhong Wang, Yang Li, Yuan Zhang, Wei Pan, Samuel Kaski:
Open Ad Hoc Teamwork with Cooperative Game Theory. ICML 2024 - [i125]Jianhong Wang, Yang Li, Yuan Zhang, Wei Pan, Samuel Kaski:
Open Ad Hoc Teamwork with Cooperative Game Theory. CoRR abs/2402.15259 (2024) - [i124]Shibei Zhu, Tran Nguyen Le, Samuel Kaski, Ville Kyrki:
Online Learning of Human Constraints from Feedback in Shared Autonomy. CoRR abs/2403.02974 (2024) - [i123]Ali Khoshvishkaie, Petrus Mikkola, Pierre-Alexandre Murena, Samuel Kaski:
Cooperative Bayesian Optimization for Imperfect Agents. CoRR abs/2403.04442 (2024) - [i122]Erik Nascimento, Diego Mesquita, Samuel Kaski, Amauri H. Souza:
In-n-Out: Calibrating Graph Neural Networks for Link Prediction. CoRR abs/2403.04605 (2024) - [i121]Marshal Arijona Sinaga, Julien Martinelli, Vikas Garg, Samuel Kaski:
Heteroscedastic Preferential Bayesian Optimization with Informative Noise Distributions. CoRR abs/2405.14657 (2024) - [i120]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 abs/2405.16588 (2024) - [i119]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 abs/2405.19988 (2024) - [i118]Tiago da Silva, Luiz Max Carvalho, Amauri H. Souza, Samuel Kaski, Diego Mesquita:
Embarrassingly Parallel GFlowNets. CoRR abs/2406.03288 (2024) - [i117]Trung Trinh, Markus Heinonen, Luigi Acerbi, Samuel Kaski:
Improving robustness to corruptions with multiplicative weight perturbations. CoRR abs/2406.16540 (2024) - [i116]Stephen Menary, Samuel Kaski, Andre Freitas:
Transformer Normalisation Layers and the Independence of Semantic Subspaces. CoRR abs/2406.17837 (2024) - [i115]Rafal Karczewski, Samuel Kaski, Markus Heinonen, Vikas Garg:
What Ails Generative Structure-based Drug Design: Too Little or Too Much Expressivity? CoRR abs/2408.06050 (2024) - [i114]Avirup Das, Rishabh Dev Yadav, Sihao Sun, Mingfei Sun, Samuel Kaski, Wei Pan:
DroneDiffusion: Robust Quadrotor Dynamics Learning with Diffusion Models. CoRR abs/2409.11292 (2024) - [i113]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:
Identifying latent disease factors differently expressed in patient subgroups using group factor analysis. CoRR abs/2410.07890 (2024) - [i112]Ayush Bharti, Daolang Huang, Samuel Kaski, François-Xavier Briol:
Cost-aware Simulation-based Inference. CoRR abs/2410.07930 (2024) - [i111]Hossein Abdi, Mingfei Sun, Andi Zhang, Samuel Kaski, Wei Pan:
LoKO: Low-Rank Kalman Optimizer for Online Fine-Tuning of Large Models. CoRR abs/2410.11551 (2024) - [i110]Paul E. Chang, Nasrulloh Loka, Daolang Huang, Ulpu Remes, Samuel Kaski, Luigi Acerbi:
Amortized Probabilistic Conditioning for Optimization, Simulation and Inference. CoRR abs/2410.15320 (2024) - 2023
- [j107]Sebastiaan De Peuter, Antti Oulasvirta, Samuel Kaski:
Toward AI assistants that let designers design. AI Mag. 44(1): 85-96 (2023) - [j106]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) - [j105]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) - [j104]Mustafa Mert Çelikok, Pierre-Alexandre Murena, Samuel Kaski:
Modeling needs user modeling. Frontiers Artif. Intell. 6 (2023) - [j103]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: 120318 (2023) - [j102]Zhirong Yang, Yuwei Chen, Denis Sedov, Samuel Kaski, Jukka Corander:
Stochastic cluster embedding. Stat. Comput. 33(1): 12 (2023) - [j101]Joonas Jälkö, Lukas Prediger, Antti Honkela, Samuel Kaski:
DPVIm: Differentially Private Variational Inference Improved. Trans. Mach. Learn. Res. 2023 (2023) - [c156]Mustafa Mert Çelikok, Pierre-Alexandre Murena, Samuel Kaski:
Teaching to Learn: Sequential Teaching of Learners with Internal States. AAAI 2023: 5939-5947 - [c155]Sebastiaan De Peuter, Samuel Kaski:
Zero-Shot Assistance in Sequential Decision Problems. AAAI 2023: 11551-11559 - [c154]Ossi Räisä, Joonas Jälkö, Samuel Kaski, Antti Honkela:
Noise-Aware Statistical Inference with Differentially Private Synthetic Data. AISTATS 2023: 3620-3643 - [c153]Petrus Mikkola, Julien Martinelli, Louis Filstroff, Samuel Kaski:
Multi-Fidelity Bayesian Optimization with Unreliable Information Sources. AISTATS 2023: 7425-7454 - [c152]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: 2289-2312 - [c151]Shibei Zhu, Rituraj Kaushik, Samuel Kaski, Ville Kyrki:
Imitation-Guided Multimodal Policy Generation from Behaviourally Diverse Demonstrations. IROS 2023: 1675-1682 - [c150]Sophie Wharrie, Zhiyu Yang, Andrea Ganna, Samuel Kaski:
Characterizing personalized effects of family information on disease risk using graph representation learning. MLHC 2023: 824-845 - [c149]Timur Garipov, Sebastiaan De Peuter, Ge Yang, Vikas Garg, Samuel Kaski, Tommi S. Jaakkola:
Compositional Sculpting of Iterative Generative Processes. NeurIPS 2023 - [c148]Daolang Huang, Ayush Bharti, Amauri H. Souza, Luigi Acerbi, Samuel Kaski:
Learning Robust Statistics for Simulation-based Inference under Model Misspecification. NeurIPS 2023 - [c147]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 - [c146]Ali Khoshvishkaie, Petrus Mikkola, Pierre-Alexandre Murena, Samuel Kaski:
Cooperative Bayesian Optimization for Imperfect Agents. ECML/PKDD (1) 2023: 475-490 - [c145]Alex Hämäläinen, Mustafa Mert Çelikok, Samuel Kaski:
Differentiable user models. UAI 2023: 798-808 - [i109]Robert Tyler Loftin, Mustafa Mert Çelikok, Herke van Hoof, Samuel Kaski, Frans A. Oliehoek:
Uncoupled Learning of Differential Stackelberg Equilibria with Commitments. CoRR abs/2302.03438 (2023) - [i108]Alexander Aushev, Aini Putkonen, Gregoire Clarte, Suyog Chandramouli, Luigi Acerbi, Samuel Kaski, Andrew Howes:
Online simulator-based experimental design for cognitive model selection. CoRR abs/2303.02227 (2023) - [i107]Alexander V. Nikitin, Letizia Iannucci, Samuel Kaski:
TSGM: A Flexible Framework for Generative Modeling of Synthetic Time Series. CoRR abs/2305.11567 (2023) - [i106]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 abs/2305.14120 (2023) - [i105]Daolang Huang, Ayush Bharti, Amauri H. Souza, Luigi Acerbi, Samuel Kaski:
Learning Robust Statistics for Simulation-based Inference under Model Misspecification. CoRR abs/2305.15871 (2023) - [i104]Trung Q. Trinh, Markus Heinonen, Luigi Acerbi, Samuel Kaski:
Input gradient diversity for neural network ensembles. CoRR abs/2306.02775 (2023) - [i103]Daolang Huang, Manuel Haussmann, Ulpu Remes, S. T. John, Grégoire Clarté, Kevin Sebastian Luck, Samuel Kaski, Luigi Acerbi:
Practical Equivariances via Relational Conditional Neural Processes. CoRR abs/2306.10915 (2023) - [i102]Lukas Prediger, Joonas Jälkö, Antti Honkela, Samuel Kaski:
Collaborative Learning From Distributed Data With Differentially Private Synthetic Twin Data. CoRR abs/2308.04755 (2023) - [i101]Tiago da Silva, Eliezer S. 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 abs/2309.12032 (2023) - [i100]Timur Garipov, Sebastiaan De Peuter, Ge Yang, Vikas Garg, Samuel Kaski, Tommi S. Jaakkola:
Compositional Sculpting of Iterative Generative Processes. CoRR abs/2309.16115 (2023) - [i99]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 abs/2310.11439 (2023) - [i98]Sophie Wharrie, Samuel Kaski:
Causal Similarity-Based Hierarchical Bayesian Models. CoRR abs/2310.12595 (2023) - [i97]Sabina J. Sloman, Ayush Bharti, Samuel Kaski:
The Fundamental Dilemma of Bayesian Active Meta-learning. CoRR abs/2310.14968 (2023) - [i96]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 abs/2311.03002 (2023) - 2022
- [j100]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): 522 (2022) - [j99]Alexander Aushev, Henri Pesonen, Markus Heinonen, Jukka Corander, Samuel Kaski:
Likelihood-free inference with deep Gaussian processes. Comput. Stat. Data Anal. 174: 107529 (2022) - [j98]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): 86 (2022) - [j97]Lukas Prediger, Niki A. Loppi, Samuel Kaski, Antti Honkela:
d3p - A Python Package for Differentially-Private Probabilistic Programming. Proc. Priv. Enhancing Technol. 2022(2): 407-425 (2022) - [j96]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): 2197-2207 (2022) - [c144]Daniel Augusto de Souza, Diego Mesquita, Samuel Kaski, Luigi Acerbi:
Parallel MCMC Without Embarrassing Failures. AISTATS 2022: 1786-1804 - [c143]Alexander V. Nikitin, S. T. John, Arno Solin, Samuel Kaski:
Non-separable Spatio-temporal Graph Kernels via SPDEs. AISTATS 2022: 10640-10660 - [c142]Mustafa Mert Çelikok, Frans A. Oliehoek, Samuel Kaski:
Best-Response Bayesian Reinforcement Learning with Bayes-adaptive POMDPs for Centaurs. AAMAS 2022: 235-243 - [c141]Tung Thanh 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: 208:1-208:4 - [c140]Ayush Bharti, Louis Filstroff, Samuel Kaski:
Approximate Bayesian Computation with Domain Expert in the Loop. ICML 2022: 1893-1905 - [c139]Trung Q. Trinh, Markus Heinonen, Luigi Acerbi, Samuel Kaski:
Tackling covariate shift with node-based Bayesian neural networks. ICML 2022: 21751-21775 - [c138]Alexander V. Nikitin, Samuel Kaski:
Human-in-the-Loop Large-Scale Predictive Maintenance of Workstations. KDD 2022: 3682-3690 - [c137]Tianyu Cui, Yogesh Kumar, Pekka Marttinen, Samuel Kaski:
Deconfounded Representation Similarity for Comparison of Neural Networks. NeurIPS 2022 - [c136]Amauri H. Souza, Diego Mesquita, Samuel Kaski, Vikas Garg:
Provably expressive temporal graph networks. NeurIPS 2022 - [c135]Yogesh Verma, Samuel Kaski, Markus Heinonen, Vikas Garg:
Modular Flows: Differential Molecular Generation. NeurIPS 2022 - [c134]Pashupati Hegde, Çagatay Yildiz, Harri Lähdesmäki, Samuel Kaski, Markus Heinonen:
Variational multiple shooting for Bayesian ODEs with Gaussian processes. UAI 2022: 790-799 - [e4]Giulio Jacucci, Samuel Kaski, Cristina Conati, Simone Stumpf, Tuukka Ruotsalo, Krzysztof Gajos:
IUI 2022: 27th International Conference on Intelligent User Interfaces, Helsinki, Finland, March 22 - 25, 2022. ACM 2022, ISBN 978-1-4503-9144-3 [contents] - [e3]Giulio Jacucci, Samuel Kaski, Cristina Conati, Simone Stumpf, Tuukka Ruotsalo, Krzysztof Gajos:
IUI 2022: 27th International Conference on Intelligent User Interfaces, Helsinki, Finland, March 22 - 25, 2022 - Companion Volume. ACM 2022, ISBN 978-1-4503-9145-0 [contents] - [i95]Ayush Bharti, Louis Filstroff, Samuel Kaski:
Approximate Bayesian Computation with Domain Expert in the Loop. CoRR abs/2201.12090 (2022) - [i94]Tianyu Cui, Yogesh Kumar, Pekka Marttinen, Samuel Kaski:
Deconfounded Representation Similarity for Comparison of Neural Networks. CoRR abs/2202.00095 (2022) - [i93]Sebastiaan De Peuter, Samuel Kaski:
Zero-Shot Assistance in Novel Decision Problems. CoRR abs/2202.07364 (2022) - [i92]Daniel Augusto de Souza, Diego Mesquita, Samuel Kaski, Luigi Acerbi:
Parallel MCMC Without Embarrassing Failures. CoRR abs/2202.11154 (2022) - [i91]Mustafa Mert Çelikok, Frans A. Oliehoek, Samuel Kaski:
Best-Response Bayesian Reinforcement Learning with Bayes-adaptive POMDPs for Centaurs. CoRR abs/2204.01160 (2022) - [i90]Ossi Räisä, Joonas Jälkö, Samuel Kaski, Antti Honkela:
Noise-Aware Statistical Inference with Differentially Private Synthetic Data. CoRR abs/2205.14485 (2022) - [i89]Trung Q. Trinh, Markus Heinonen, Luigi Acerbi, Samuel Kaski:
Tackling covariate shift with node-based Bayesian neural networks. CoRR abs/2206.02435 (2022) - [i88]Alexander V. Nikitin, Samuel Kaski:
Human-in-the-Loop Large-Scale Predictive Maintenance of Workstations. CoRR abs/2206.11574 (2022) - [i87]Daolang Huang, Louis Filstroff, Petrus Mikkola, Runkai Zheng, Samuel Kaski:
Bayesian Optimization Augmented with Actively Elicited Expert Knowledge. CoRR abs/2208.08742 (2022) - [i86]Amauri H. Souza, Diego Mesquita, Samuel Kaski, Vikas Garg:
Provably expressive temporal graph networks. CoRR abs/2209.15059 (2022) - [i85]Yogesh Verma, Samuel Kaski, Markus Heinonen, Vikas Garg:
Modular Flows: Differential Molecular Generation. CoRR abs/2210.06032 (2022) - [i84]Petrus Mikkola, Julien Martinelli, Louis Filstroff, Samuel Kaski:
Multi-Fidelity Bayesian Optimization with Unreliable Information Sources. CoRR abs/2210.13937 (2022) - [i83]Joonas Jälkö, Lukas Prediger, Antti Honkela, Samuel Kaski:
DPVIm: Differentially Private Variational Inference Improved. CoRR abs/2210.15961 (2022) - [i82]Alex Hämäläinen, Mustafa Mert Çelikok, Samuel Kaski:
Differentiable User Models. CoRR abs/2211.16277 (2022) - 2021
- [j95]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): 346-359 (2021) - [j94]Betül Güvenç Paltun, Samuel Kaski, Hiroshi Mamitsuka:
Machine learning approaches for drug combination therapies. Briefings Bioinform. 22(6) (2021) - [j93]Joonas Jälkö, Eemil Lagerspetz, Jari Haukka, Sasu Tarkoma, Antti Honkela, Samuel Kaski:
Privacy-preserving data sharing via probabilistic modeling. Patterns 2(7): 100271 (2021) - [j92]Giulio Jacucci, Pedram Daee, Tung Thanh Vuong, Salvatore Andolina, Khalil Klouche, Mats Sjöberg, Tuukka Ruotsalo, Samuel Kaski:
Entity Recommendation for Everyday Digital Tasks. ACM Trans. Comput. Hum. Interact. 28(5): 29:1-29:41 (2021) - [c133]Anton Mallasto, Markus Heinonen, Samuel Kaski:
Bayesian Inference for Optimal Transport with Stochastic Cost. ACML 2021: 1601-1616 - [c132]Antti Keurulainen, Isak Westerlund, Ariel Kwiatkowski, Samuel Kaski, Alexander Ilin:
Behaviour-Conditioned Policies for Cooperative Reinforcement Learning Tasks. ICANN (4) 2021: 493-504 - [c131]Antti Keurulainen, Isak Westerlund, Samuel Kaski, Alexander Ilin:
Learning to Assist Agents by Observing Them. ICANN (4) 2021: 519-530 - [c130]Tejas Kulkarni, Joonas Jälkö, Antti Koskela, Samuel Kaski, Antti Honkela:
Differentially Private Bayesian Inference for Generalized Linear Models. ICML 2021: 5838-5849 - [c129]Alexander V. Nikitin, Samuel Kaski:
Decision Rule Elicitation for Domain Adaptation. IUI 2021: 244-248 - [c128]Zheyang Shen, Markus Heinonen, Samuel Kaski:
De-randomizing MCMC dynamics with the diffusion Stein operator. NeurIPS 2021: 17507-17517 - [c127]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: 753-756 - [c126]Khaoula el Mekkaoui, Diego Mesquita, Paul Blomstedt, Samuel Kaski:
Federated stochastic gradient Langevin dynamics. UAI 2021: 1703-1712 - [i81]Alexander V. Nikitin, Samuel Kaski:
Decision Rule Elicitation for Domain Adaptation. CoRR abs/2102.11539 (2021) - [i80]Lukas Prediger, Niki A. Loppi, Samuel Kaski, Antti Honkela:
d3p - A Python Package for Differentially-Private Probabilistic Programming. CoRR abs/2103.11648 (2021) - [i79]Betül Güvenç Paltun, Samuel Kaski, Hiroshi Mamitsuka:
DIVERSE: bayesian Data IntegratiVE learning for precise drug ResponSE prediction. CoRR abs/2104.00520 (2021) - [i78]Anton Mallasto, Karol Arndt, Markus Heinonen, Samuel Kaski, Ville Kyrki:
Affine Transport for Sim-to-Real Domain Adaptation. CoRR abs/2105.11739 (2021) - [i77]Louis Filstroff, Iiris Sundin, Petrus Mikkola, Aleksei Tiulpin, Juuso Kylmäoja, Samuel Kaski:
Targeted Active Learning for Bayesian Decision-Making. CoRR abs/2106.04193 (2021) - [i76]Pashupati Hegde, Çagatay Yildiz, Harri Lähdesmäki, Samuel Kaski, Markus Heinonen:
Bayesian inference of ODEs with Gaussian processes. CoRR abs/2106.10905 (2021) - [i75]