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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

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  • Kernel Language Entropy: Fine-grained Uncertainty Quantification for LLMs from Semantic Similarities

    Nikitin, A., Kossen, J., Gal, Y. & Marttinen, P., 2025, Advances in Neural Information Processing Systems 37 (NeurIPS 2024). Globerson, A., Mackey, L., Belgrave, D., Fan, A., Paquet, U., Tomczak, J. & Zheng, 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

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  • 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

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  • 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
    1 Citation (Scopus)
  • 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

  • ClimODE: Climate and Weather Forecasting with Physics-informed Neural ODEs

    Verma, Y., Heinonen, M. & Garg, V., 2024, 12th International Conference on Learning Representations (ICLR 2024). Curran Associates Inc., p. 1-23 23 p.

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

    Open Access
    9 Citations (Scopus)

  • 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

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  • Continuous-Time Functional Diffusion Processes

    Franzese, G., Corallo, G., Rossi, S., Heinonen, M., Filippone, M. & Michiardi, P., 2024, Advances in Neural Information Processing Systems 36 (NeurIPS 2023). Curran Associates Inc., 31 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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    9 Citations (Scopus)

  • 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

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  • Going Beyond Persistent Homology Using Persistent Homology

    Immonen, J., Souza, A. & Garg, V., 2024, Advances in Neural Information Processing Systems 36 - 37th Conference on Neural Information Processing Systems, NeurIPS 2023. Curran Associates Inc., 24 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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  • 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., 19 p.

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

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  • Interactive Reward Tuning: Interactive Visualization for Preference Elicitation

    Shi, D., Zhu, S., Weinkauf, T. & Oulasvirta, A., 2024, 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 8 p. ( Proceedings of the 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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  • 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

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  • 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

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    7 Citations (Scopus)

  • Learning Space-Time Continuous Latent Neural PDEs from Partially Observed States

    Iakovlev, V., Heinonen, M. & Lähdesmäki, H., 2024, Advances in Neural Information Processing Systems 36 (NeurIPS 2023). Curran Associates Inc., 24 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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  • 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

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  • 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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    2 Citations (Scopus)

  • Temporal Causal Mediation through a Point Process: Direct and Indirect Effects of Healthcare Interventions

    Hizli, C., John, T., Juuti, A., Saarinen, T., Pietiläinen, K. & Marttinen, P., 2024, Advances in Neural Information Processing Systems 36 (NeurIPS 2023). Curran Associates Inc., Vol. 36. p. 58787-58820 34 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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    1 Citation (Scopus)

  • Thin and deep Gaussian processes

    de Souza, D. A., Nikitin, A., John, T., Ross, M., Alvarez, M. A., Deisenroth, M. P., Pordeus Gomes, J. P., Parente Paiva Mesquita, D. & Mattos, C. L., 2024, Advances in Neural Information Processing Systems 36 - 37th Conference on Neural Information Processing Systems, NeurIPS 2023. Curran Associates Inc., 11 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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  • 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

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  • 2023

    AbODE: Ab initio antibody design using conjoined ODEs

    Verma, Y., Heinonen, M. & Garg, V., 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. 35037-35050 14 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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    7 Citations (Scopus)
    123 Downloads (Pure)

  • Causal Modeling of Policy Interventions From Treatment-Outcome Sequences

    Hizli, C., John, S., Juuti, A., Saarinen, T., Pietiläinen, K. & Marttinen, P., 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. 13050-13084 35 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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  • 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

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    4 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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  • Distill n' Explain: explaining graph neural networks using simple surrogates

    Pereira, T., Nascimento, E., Resck, L. E., Mesquita, D. & Souza, 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. 6199-6214 16 p. (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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    7 Citations (Scopus)
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  • Generative Modelling with Inverse Heat Dissipation

    Rissanen, S., Heinonen, M. & Solin, A., 1 Feb 2023, 11th International Conference on Learning Representations (ICLR 2023). Curran Associates Inc., p. 1-54 54 p.

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

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    27 Citations (Scopus)

  • 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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  • Improving Hyperparameter Learning under Approximate Inference in Gaussian Process Models

    Li, R., John, S. & Solin, A., 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. 19595-19615 21 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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  • Incorporating functional summary information in Bayesian neural networks using a Dirichlet process likelihood approach

    Raj, V., Cui, T., Heinonen, M. & Marttinen, P., 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. 6741-6763 (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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  • Memory-Based Dual Gaussian Processes for Sequential Learning

    Chang, P. E., Verma, P., John, S. T., Solin, A. & Emtiyaz Khan, M., 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. 4035-4054 20 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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  • 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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  • Nonparametric modeling of the composite effect of multiple nutrients on blood glucose dynamics

    Odnoblyudova, A., Hizli, C., John, S., Juuti, A., Särkkä, S., Pietiläinen, K. & Marttinen, P., 4 Dec 2023, Proceedings of the 3rd Machine Learning for Health Symposium. JMLR, p. 428-444 (Proceedings of Machine Learning Research ; vol. 225).

    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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    4 Citations (Scopus)
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  • Queer In AI : A Case Study in Community-Led Participatory AI

    Organizers Of Queer in AI, 12 Jun 2023, Proceedings of the 6th ACM Conference on Fairness, Accountability, and Transparency, FAccT 2023. ACM, p. 1882-1895 14 p.

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

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    30 Citations (Scopus)

  • 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

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    1 Citation (Scopus)

  • Uncertainty-Aware Natural Language Inference with Stochastic Weight Averaging

    Talman, A., Celikkanat, H., Virpioja, S., Heinonen, M. & Tiedemann, J., 2023, Proceedings of the 24th Nordic Conference on Computational Linguistics. University of Tartu Library, p. 358-365

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

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  • 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

    A Deep Learning Approach to Solving Morphological Analogies

    Marquer, E., Alsaidi, S., Decker, A., Murena, P. A. & Couceiro, M., 2022, Case-Based Reasoning Research and Development - 30th International Conference, ICCBR 2022, Proceedings. Keane, M. T. & Wiratunga, N. (eds.). Springer, p. 159-174 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13405 LNAI).

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

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    6 Citations (Scopus)

  • 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

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    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

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  • 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)

  • Feature Collapsing for Gaussian process variable ranking

    Sebenius, I., Paananen, T. & Vehtari, A., 2022, Proceedings of The 25th International Conference on Artificial Intelligence and Statistics. JMLR, p. 11341-11355 (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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