Finnish Center for Artificial Intelligence, FCAI

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  • 2025

    Amortized Bayesian Experimental Design for Decision-Making

    Huang, D., Guo, Y., Acerbi, L. & Kaski, S., 2025, Advances in Neural Information Processing Systems 37 (NeurIPS 2024). Globerson, A., Mackey, L., Belgrave, D., Fan, A., Paquet, U., Tomczak, J. & Zhang, C. (eds.). Curran Associates Inc., 20 p. (Advances in Neural Information Processing Systems; vol. 37).

    Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

    Open Access

  • Balancing Imbalanced Toxicity Models : Using MolBERT with Focal Loss

    Masood, M. A., Kaski, S., Ceulemans, H., Herman, D. & Heinonen, M., 2025, AI in Drug Discovery - 1st International Workshop, AIDD 2024, Held in Conjunction with ICANN 2024, Proceedings. Clevert, D.-A., Wand, M., Schmidhuber, J., Malinovská, K. & Tetko, I. V. (eds.). Springer, p. 82-97 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14894 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

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  • Improving robustness to corruptions with multiplicative weight perturbations

    Trinh, T., Heinonen, M., Acerbi, L. & Kaski, S., 2025, Advances in Neural Information Processing Systems 37 (NeurIPS 2024). Globerson, A., Mackey, L., Belgrave, D., Fan, A., Paquet, U., Tomczak, J. & Zhang, C. (eds.). Curran Associates Inc., (Advances in Neural Information Processing Systems; vol. 37).

    Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

    Open Access

  • Preference Learning of Latent Decision Utilities with a Human-like Model of Preferential Choice

    De Peuter, S., Zhu, S., Guo, Y., Howes, A. & Kaski, S., 2025, Advances in Neural Information Processing Systems 37 (NeurIPS 2024). Globerson, A., Mackey, L., Belgrave, D., Fan, A., Paquet, U., Tomczak, J. & Zhang, C. (eds.). Curran Associates Inc., (Advances in Neural Information Processing Systems; vol. 37).

    Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

    Open Access

  • Towards Interpretable Models of Chemist Preferences for Human-in-the-Loop Assisted Drug Discovery

    Nahal, Y., Heinonen, M., Kabeshov, M., Janet, J. P., Nittinger, E., Engkvist, O. & Kaski, S., 2025, AI in Drug Discovery - 1st International Workshop, AIDD 2024, Held in Conjunction with ICANN 2024, Proceedings. Clevert, D.-A., Wand, M., Schmidhuber, J., Malinovská, K. & Tetko, I. V. (eds.). Springer, p. 58-70 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14894 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

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    1 Citation (Scopus)
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  • TSGM: A Flexible Framework for Generative Modeling of Synthetic Time Series

    Nikitin, A., Iannucci, L. & Kaski, S., 2025, Advances in Neural Information Processing Systems 37 (NeurIPS 2024). Globerson, A., Mackey, L., Belgrave, D., Fan, A., Paquet, U., Tomczak, J. & Zhang, C. (eds.). Curran Associates Inc., (Advances in Neural Information Processing Systems; vol. 37).

    Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

    Open Access
  • 2024

    Bayesian Active Learning in the Presence of Nuisance Parameters

    Sloman, S. J., Bharti, A., Martinelli, J. & Kaski, S., 2024, Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence. JMLR, Vol. 244. p. 3245-3263 (Proceedings of Machine Learning Research; vol. 244).

    Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

    Open Access

  • Co-imagination of Behaviour and Morphology of Agents

    Sliacka, M., Mistry, M., Calandra, R., Kyrki, V. & Luck, K. S., 2024, Machine Learning, Optimization, and Data Science - 9th International Conference, LOD 2023. Nicosia, G., Ojha, V., La Malfa, E., La Malfa, G., Pardalos, P. M. & Umeton, R. (eds.). Springer, p. 318-332 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14505 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

    Open Access

  • Compositional Sculpting of Iterative Generative Processes

    Garipov, T., De Peuter, S., Yang, G., Garg, V., Kaski, S. & Jaakkola, T., 2024, Advances in Neural Information Processing Systems 36 - 37th Conference on Neural Information Processing Systems, NeurIPS 2023. Curran Associates Inc., p. 12665-12702 (Advances in Neural Information Processing Systems; vol. 36).

    Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

    Open Access

  • Deep Bayesian Experimental Design for Drug Discovery

    Masood, M. A., Cui, T. & Kaski, S., 20 Sept 2024, AI in Drug Discovery - 1st International Workshop, AIDD 2024, Held in Conjunction with ICANN 2024, Proceedings. Clevert, D.-A., Wand, M., Schmidhuber, J., Malinovská, K. & Tetko, I. V. (eds.). Springer, p. 149-159 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14894 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

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  • Embarrassingly Parallel GFlowNets

    da Silva, T., Carvalho, L. M., Souza, A., Kaski, S. & Mesquita, D., 2024, Proceedings of the 41st International Conference on Machine Learning. Salakhutdinov, R., Kolter, Z., Heller, K., Weller, A., Oliver, N., Scarlett, J. & Berkenkamp, F. (eds.). JMLR, p. 45406-45431 (Proceedings of Machine Learning Research; vol. 235).

    Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

    Open Access

  • Estimating treatment effects from single-arm trials via latent-variable modeling

    Haussmann, M., Le, T. M. S., Halla-aho, V., Kurki, S., Leinonen, J., Koskinen, M., Kaski, S. & Lähdesmäki, H., 2024, Proceedings of the 27th International Conference on Artificial Intelligence and Statistics . JMLR, Vol. 238. p. 2926-2934 (Proceedings of Machine Learning Research; vol. 238).

    Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

    Open Access

  • Input-gradient space particle inference for neural network ensembles

    Trinh, T., Heinonen, M., Acerbi, L. & Kaski, S., 2024, 12th International Conference on Learning Representations (ICLR 2024). Curran Associates Inc.

    Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

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  • Learning relevant contextual variables within Bayesian optimization

    Martinelli, J., Bharti, A., Tiihonen, A., John, S. T., Filstroff, L., Sloman, S. J., Rinke, P. & Kaski, S., 2024, Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence. JMLR, Vol. 244. p. 2450-2470 (Proceedings of Machine Learning Research; vol. 244).

    Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

    Open Access

  • Learning Robust Statistics for Simulation-based Inference under Model Misspecification

    Huang, D., Bharti, A., Holanda De Souza Junior, A., Acerbi, L. & Kaski, S., 2024, Advances in Neural Information Processing Systems 36 - 37th Conference on Neural Information Processing Systems, NeurIPS 2023. Curran Associates Inc., 22 p. (Advances in Neural Information Processing Systems; vol. 36).

    Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

    Open Access
    4 Citations (Scopus)

  • Open Ad Hoc Teamwork with Cooperative Game Theory

    Wang, J., Li, Y., Zhang, Y., Pan, W. & Kaski, S., 2024, Proceedings of the 41st International Conference on Machine Learning. Salakhutdinov, R., Kolter, Z., Heller, K., Weller, A., Oliver, N., Scarlett, J. & Berkenkamp, F. (eds.). JMLR, Vol. 235. p. 50902-50930 29 p. (Proceedings of Machine Learning Research; vol. 235).

    Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

    Open Access

  • Practical Equivariances via Relational Conditional Neural Processes

    Huang, D., Haussmann, M., Remes, U., John, T., Clarté, G., Luck, K. S., Kaski, S. & Acerbi, L., 2024, Advances in Neural Information Processing Systems 36 - 37th Conference on Neural Information Processing Systems, NeurIPS 2023. Curran Associates Inc., 38 p. (Advances in Neural Information Processing Systems; vol. 36).

    Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

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  • Radar-Lidar Fusion for Object Detection by Designing Effective Convolution Networks

    Munir, F., Azam, S., Kucner, T., Kyrki, V. & Jeon, M., 2024, 2023 IEEE 26th International Conference on Intelligent Transportation Systems, ITSC 2023. IEEE, p. 3575-3582 8 p. (IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC).

    Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

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  • Uncoupled Learning of Differential Stackelberg Equilibria with Commitments

    Loftin, R., Çelikok, M. M., van Hoof, H., Kaski, S. & Oliehoek, F. A., 6 May 2024, AAMAS '24: Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems. ACM, p. 1265-1273 9 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

    Open Access
  • 2023

    Characterizing personalized effects of family information on disease risk using graph representation learning

    Wharrie, S., Yang, Z., Ganna, A. & Kaski, S., 2023, Proceedings of the 8th Machine Learning for Healthcare Conference. Deshpande, K., Fiterau, M., Joshi, S., Lipton, Z., Ranganath, R., Urteaga, I. & Yeung, S. (eds.). JMLR, p. 824-845 (Proceedings of Machine Learning Research; vol. 219).

    Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

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  • Cooperative Bayesian Optimization for Imperfect Agents

    Khoshvishkaie, A., Mikkola, P., Murena, P. A. & Kaski, S., Sept 2023, Machine Learning and Knowledge Discovery in Databases : Research Track - European Conference, ECML PKDD 2023, Proceedings. Koutra, D., Plant, C., Gomez Rodriguez, M., Baralis, E. & Bonchi, F. (eds.). Springer, p. 475-490 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14169 LNAI).

    Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

    Open Access
    2 Citations (Scopus)

  • Differentiable user models

    Hämäläinen, A., Celikok, M. M. & Kaski, S., Aug 2023, Proceedings of the 39th Conference on Uncertainty in Artificial Intelligence (UAI 2023). JMLR, Vol. 216. p. 798-808 (Proceedings of Machine Learning Research ; vol. 216).

    Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

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  • Imitation-guided Multimodal Policy Generation from Behaviourally Diverse Demonstrations

    Zhu, S., Kaushik, R., Kaski, S. & Kyrki, V., 2023, 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, p. 1675-1682 8 p. (Proceedings of the IEEE/RSJ international conference on intelligent robots and systems).

    Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

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  • Multi-Fidelity Bayesian Optimization with Unreliable Information Sources

    Mikkola, P., Martinelli, J., Filstroff, L. & Kaski, S., 25 Apr 2023, Proceedings of the 26th International Conference on Artificial Intelligence and Statistics . JMLR, p. 7425-7454 (Proceedings of Machine Learning Research; vol. 206).

    Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

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  • Noise-Aware Statistical Inference with Differentially Private Synthetic Data

    Räisä, O., Jälkö, J., Kaski, S. & Honkela, A., 2023, Proceedings of The 26th International Conference on Artificial Intelligence and Statistics (AISTATS) 2023. Ruiz, F., Dy, J. & van de Meent, J.-W. (eds.). JMLR, p. 3620-3643 (Proceedings of Machine Learning Research; vol. 206).

    Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

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  • Optimally-weighted Estimators of the Maximum Mean Discrepancy for Likelihood-Free Inference

    Bharti, A., Naslidnyk, M., Key, O., Kaski, S. & Briol, F. X., Jul 2023, Proceedings of the 40th International Conference on Machine Learning. Krause, A., Brunskill, E., Cho, K., Engelhardt, B., Sabato, S. & Scarlett, J. (eds.). JMLR, p. 2289-2312 24 p. (Proceedings of Machine Learning Research; vol. 202).

    Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

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    2 Citations (Scopus)
    40 Downloads (Pure)

  • Teaching to Learn: Sequential Teaching of Learners with Internal States

    Çelikok, M. M., Murena, P. A. & Kaski, S., 27 Jun 2023, AAAI-23 Technical Tracks 5. Williams, B., Chen, Y. & Neville, J. (eds.). AAAI Press, p. 5939-5947 9 p. (Proceedings of the AAAI Conference on Artificial Intelligence; vol. 37, no. 5).

    Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

    Open Access
    1 Citation (Scopus)

  • THÖR-Magni: Comparative Analysis of Deep Learning Models for Role-conditioned Human Motion Prediction

    De Almeida, T. R., Rudenko, A., Schreiter, T., Zhu, Y., Maestro, E. G., Morillo-Mendez, L., Kucner, T. P., Martinez Mozos, O., Magnusson, M., Palmieri, L., Arras, K. O. & Lilienthal, A. J., 25 Dec 2023, Proceedings - 2023 IEEE/CVF International Conference on Computer Vision Workshops, ICCVW 2023. IEEE, p. 2192-2201 10 p. (Proceedings - 2023 IEEE/CVF International Conference on Computer Vision Workshops, ICCVW 2023).

    Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

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    4 Citations (Scopus)

  • Zero-Shot Assistance in Sequential Decision Problems

    De Peuter, S. & Kaski, S., 27 Jun 2023, AAAI-23 Technical Tracks 10 . Williams, B., Chen, Y. & Neville, J. (eds.). AAAI Press, p. 11551-11559 9 p. (Proceedings of the AAAI Conference on Artificial Intelligence; vol. 37, no. 10).

    Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

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  • 2022

    Approximate Bayesian Computation with Domain Expert in the Loop

    Bharti, A., Filstroff, L. & Kaski, S., 2022, Proceedings of the 39th International Conference on Machine Learning. JMLR, p. 1893-1905 (Proceedings of Machine Learning Research; vol. 162).

    Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

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  • Best-Response Bayesian Reinforcement Learning with Bayes-adaptive POMDPs for Centaurs

    Çelikok, M. M., Oliehoek, F. A. & Kaski, S., 2022, International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2022. International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), p. 235-243 9 p. (Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS; vol. 1).

    Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

    Open Access
    4 Citations (Scopus)

  • Deconfounded Representation Similarity for Comparison of Neural Networks

    Cui, T., Kumar, Y., Marttinen, P. & Kaski, S., 2022, Advances in Neural Information Processing Systems 35 (NeurIPS 2022). Koyejo, S., Mohamed, S., Agarwal, A., Belgrave, D., Cho, K. & Oh, A. (eds.). Morgan Kaufmann Publishers, 14 p. (Advances in Neural Information Processing Systems; vol. 35).

    Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

    Open Access

  • EntityBot : Actionable Entity Recommendations for Everyday Digital Task

    Vuong, T., Andolina, S., Jacucci, G., Daee, P., Klouche, K., Sjöberg, M., Ruotsalo, T. & Kaski, S., 27 Apr 2022, CHI 2022 - Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems. ACM, 4 p. 208. (Conference on Human Factors in Computing Systems - Proceedings).

    Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

    3 Citations (Scopus)

  • Human-in-the-Loop Large-Scale Predictive Maintenance of Workstations

    Nikitin, A. & Kaski, S., 14 Aug 2022, KDD '22: Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. ACM, p. 3682–3690

    Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

    Open Access
    3 Citations (Scopus)

  • Modular Flows: Differential Molecular Generation

    Verma, Y., Kaski, S., Heinonen, M. & Garg, V., 2022, Advances in Neural Information Processing Systems 35 (NeurIPS 2022). Koyejo, S., Mohamed, S., Agarwal, A., Belgrave, D., Cho, K. & Oh, A. (eds.). Morgan Kaufmann Publishers, 13 p. (Advances in Neural Information Processing Systems; vol. 35).

    Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

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  • Non-separable spatio-temporal graph kernels via SPDEs

    Nikitin, A., John, S., Solin, A. & Kaski, S., 2022, Proceedings of The 25th International Conference on Artificial Intelligence and Statistics. JMLR, p. 10640-10660 (Proceedings of Machine Learning Research; vol. 151).

    Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

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  • Parallel MCMC Without Embarrassing Failures

    Augusto de Souza, D., Parente Paiva Mesquita, D., Kaski, S. & Acerbi, L., 2022, Proceedings of The 25th International Conference on Artificial Intelligence and Statistics. JMLR, p. 1786-1804 (Proceedings of Machine Learning Research; vol. 151).

    Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

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  • Provably expressive temporal graph networks

    Souza, A. H., Mesquita, D., Kaski, S. & Garg, V., 2022, Advances in Neural Information Processing Systems 35 (NeurIPS 2022). Koyejo, S., Mohamed, S., Agarwal, A., Belgrave, D., Cho, K. & Oh, A. (eds.). Morgan Kaufmann Publishers, 13 p. (Advances in Neural Information Processing Systems; vol. 35).

    Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

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  • Tackling covariate shift with node-based Bayesian neural networks

    Trinh, T. Q., Heinonen, M., Acerbi, L. & Kaski, S., 17 Jul 2022, Proceedings of the 39th International Conference on Machine Learning. Chaudhuri, K., Jegelka, S., Song, L., Szepesvari, C., Niu, G. & Sabato, S. (eds.). JMLR, p. 21751-21775 25 p. (Proceedings of Machine Learning Research; vol. 162).

    Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

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  • Variational multiple shooting for Bayesian ODEs with Gaussian processes

    Hedge, P., Yildiz, C., Lähdesmäki, H., Kaski, S. & Heinonen, M., 2022, Proceedings of the 38th Conference on Uncertainty in Artificial Intelligence (UAI 2022), PMLR. JMLR, p. 790-799 (Proceedings of Machine Learning Research ; vol. 180).

    Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

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    1 Citation (Scopus)
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  • 2021

    Bayesian Inference for Optimal Transport with Stochastic Cost

    Mallasto, A., Heinonen, M. & Kaski, S., 2021, Proceedings of Asian Conference on Machine Learning. JMLR, p. 1601-1616 16 p. (Proceedings of Machine Learning Research; vol. 157).

    Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

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  • Behaviour-Conditioned Policies for Cooperative Reinforcement Learning Tasks

    Keurulainen, A., Westerlund, I., Kwiatkowski, A., Kaski, S. & Ilin, A., 2021, Artificial Neural Networks and Machine Learning – ICANN 2021 - 30th International Conference on Artificial Neural Networks, Proceedings. Farkaš, I., Masulli, P., Otte, S. & Wermter, S. (eds.). Springer, p. 493-504 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12894 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

    Open Access
    1 Citation (Scopus)

  • Decision Rule Elicitation for Domain Adaptation

    Nikitin, A. & Kaski, S., 14 Apr 2021, 26th International Conference on Intelligent User Interfaces, IUI 2021. ACM, p. 244-248 5 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

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    4 Citations (Scopus)

  • De-randomizing MCMC dynamics with the diffusion Stein operator

    Shen, Z., Heinonen, M. & Kaski, S., 2021, Advances in Neural Information Processing Systems 34 - 35th Conference on Neural Information Processing Systems, NeurIPS 2021. Neural Information Processing Systems Foundation, p. 17507-17517 11 p. (Advances in Neural Information Processing Systems; vol. 21).

    Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

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    4 Citations (Scopus)
    57 Downloads (Pure)

  • Differentially Private Bayesian Inference for Generalized Linear Models

    Kulkarni, T., Jälkö, J., Koskela, A., Kaski, S. & Honkela, A., 2021, Proceedings of the 38th International Conference on Machine Learning. Meila, M. & Zhang, T. (eds.). JMLR, p. 5838-5849 12 p. (Proceedings of Machine Learning Research ; vol. 139).

    Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

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  • EntityBot: Supporting everyday digital tasks with entity recommendations

    Vuong, T., Andolina, S., Jacucci, G., Daee, P., Klouche, K., Sjöberg, M., Ruotsalo, T. & Kaski, S., 13 Sept 2021, RecSys 2021 - 15th ACM Conference on Recommender Systems. ACM, p. 753-756 4 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

    Open Access
    4 Citations (Scopus)

  • Federated Stochastic Gradient Langevin Dynamics

    El Mekkaoui, K., Parente Paiva Mesquita, D., Blomstedt, P. & Kaski, S., Dec 2021, Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence. JMLR, p. 1703-1712 10 p. (Proceedings of Machine Learning Research ; no. 161).

    Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

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  • Learning to Assist Agents by Observing Them

    Keurulainen, A., Westerlund, I., Kaski, S. & Ilin, A., 2021, Artificial Neural Networks and Machine Learning – ICANN 2021 - 30th International Conference on Artificial Neural Networks, Proceedings. Farkaš, I., Masulli, P., Otte, S. & Wermter, S. (eds.). Springer, p. 519-530 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12894 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

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  • 2020

    A high-performance implementation of Bayesian matrix factorization with limited communication

    Vander Aa, T., Qin, X., Blomstedt, P., Wuyts, R., Verachtert, W. & Kaski, S., 1 Jan 2020, Computational Science – ICCS 2020 - 20th International Conference, Proceedings. Krzhizhanovskaya, V. V., Závodszky, G., Lees, M. H., Sloot, P. M. A., Sloot, P. M. A., Sloot, P. M. A., Dongarra, J. J., Brissos, S. & Teixeira, J. (eds.). Springer, p. 3-16 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12142 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

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    1 Citation (Scopus)

  • Deep Convolutional Gaussian Processes

    Blomqvist, K., Kaski, S. & Heinonen, M., 1 Jan 2020, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2019, Proceedings. Brefeld, U., Fromont, E., Hotho, A., Knobbe, A., Maathuis, M. & Robardet, C. (eds.). Springer, p. 582-597 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11907 LNAI).

    Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

    Open Access
    32 Citations (Scopus)