Professorship Kaski Samuel

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  • 2025

    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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  • 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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  • 2024

    3D Indoor Instance Segmentation in an Open-World

    El Amine Boudjoghra, M., Al Khatib, S. K., Lahoud, J., Cholakkal, H., Anwer, R. M., Khan, S. & Khan, F. S., 2024, Advances in Neural Information Processing Systems 36 (NeurIPS 2023). Curran Associates Inc., 21 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

  • Amortized Bayesian Experimental Design for Decision-Making

    Huang, D., Guo, Y., Acerbi, L. & Kaski, S., 2024, (Accepted/In press) Advances in Neural Information Processing Systems 37 - 38th Conference on Neural Information Processing Systems, NeurIPS 2024. Neural Information Processing Systems Foundation, 19 p.

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

  • 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

  • Composed Video Retrieval via Enriched Context and Discriminative Embeddings

    Thawakar, O., Naseer, M., Anwer, R. M., Khan, S., Felsberg, M., Shah, M. & Khan, F. S., 2024, Proceedings - 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2024. IEEE, p. 26886-26896 11 p. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

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

    Open Access
    2 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

    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

  • GLaMM: Pixel Grounding Large Multimodal Model

    Rasheed, H., Maaz, M., Shaji, S., Shaker, A., Khan, S., Cholakkal, H., Anwer, R. M., Xing, E., Yang, M. H. & Khan, F. S., 2024, Proceedings - 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2024. IEEE, p. 13009-13018 10 p. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

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

    Open Access
    12 Citations (Scopus)

  • 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

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

    Nikitin, A., Kossen, J., Gal, Y. & Marttinen, P., 2024, (Accepted/In press) The Thirty-Eighth Annual Conference on Neural Information Processing Systems.

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

  • 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
    1 Citation (Scopus)

  • Long-Tailed 3D Semantic Segmentation with Adaptive Weight Constraint and Sampling

    Lahoud, J., Khan, F. S., Cholakkal, H., Anwer, R. M. & Khan, S., 2024, 2024 IEEE International Conference on Robotics and Automation, ICRA 2024. IEEE, p. 5037-5044 8 p.

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

  • 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

    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., 2024, (Accepted/In press) Advances in Neural Information Processing Systems 37 (NeurIPS 2024).

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

    Open Access

  • Size-Modulated Deformable Attention in Spatio-Temporal Video Grounding Pipelines

    Tiwari, H., Pehlivan Tort, S. & Laaksonen, J., 3 Dec 2024, Pattern Recognition - 27th International Conference, ICPR 2024, Proceedings. Antonacopoulos, A., Chaudhuri, S., Chellappa, R., Liu, C.-L., Bhattacharya, S. & Pal, U. (eds.). Springer, p. 308-324 (Lecture Notes in Computer Science; vol. 15318).

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

  • 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

    Open Access
    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

    Open Access

  • TSGM: A Flexible Framework for Generative Modeling of Synthetic Time Series

    Nikitin, A., Iannucci, L. & Kaski, S., 2024, (Accepted/In press) The Thirty-Eighth Annual Conference on Neural Information Processing Systems.

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

  • 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

  • VMS: Interactive Visualization to Support the Sensemaking and Selection of Predictive Models

    He, C., Raj, V., Moen, H., Gröhn, T., Wang, C., Peltonen, L. M., Koivusalo, S., Marttinen, P. & Jacucci, G., 18 Mar 2024, Proceedings of 2024 29th Annual Conference on Intelligent User Interfaces, IUI 2024. ACM, p. 229-244 16 p. (ACM International Conference Proceeding Series).

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

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  • XrayGPT: Chest Radiographs Summarization using Large Medical Vision-Language Models

    Thawakar, O., Shaker, A., Mullappilly, S. S., Cholakkal, H., Anwer, R. M., Khan, S., Laaksonen, J. & Khan, F. S., 2024, BioNLP 2024 - 23rd Meeting of the ACL Special Interest Group on Biomedical Natural Language Processing, Proceedings of the Workshop and Shared Tasks. Demner-Fushman, D., Ananiadou, S., Miwa, M., Roberts, K. & Tsujii, J. (eds.). Association for Computational Linguistics, p. 440-448 9 p.

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

    Open Access
    2 Citations (Scopus)
  • 2023

    3D Mitochondria Instance Segmentation with Spatio-Temporal Transformers

    Thawakar, O., Anwer, R. M., Laaksonen, J., Reiner, O., Shah, M. & Khan, F. S., 2023, Medical Image Computing and Computer Assisted Intervention – MICCAI 2023: Proceedings of 26th International Conference. Greenspan, H., Greenspan, H., Madabhushi, A., Mousavi, P., Salcudean, S., Duncan, J., Syeda-Mahmood, T. & Taylor, R. (eds.). Springer, p. 613-623 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14227 LNCS).

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

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    1 Citation (Scopus)
    5 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

    Open Access

  • 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
    1 Citation (Scopus)

  • Cross-Modulated Few-Shot Image Generation for Colorectal Tissue Classification

    Kumar, A., Bhunia, A. K., Narayan, S., Cholakkal, H., Anwer, R. M., Laaksonen, J. & Khan, F. S., 2023, Medical Image Computing and Computer Assisted Intervention – MICCAI 2023: Proceedings of 26th International Conference. Greenspan, H., Greenspan, H., Madabhushi, A., Mousavi, P., Salcudean, S., Duncan, J., Syeda-Mahmood, T. & Taylor, R. (eds.). Springer, p. 128-137 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14222 LNCS).

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

    Open Access
    1 Citation (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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    6 Citations (Scopus)
    77 Downloads (Pure)

  • Electronic Health Records as Information Source in Assessment of the Effectiveness of Delivered Care - A Pilot Study

    Von Gerich, H., Moen, H. & Peltonen, L. M., 18 May 2023, Caring is Sharing – Exploiting the Value in Data for Health and Innovation. IOS Press, p. 344-345 2 p. (Studies in Health Technology and Informatics; vol. 302).

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

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  • Generative Multiplane Neural Radiance for 3D-Aware Image Generation

    Kumar, A., Bhunia, A. K., Narayan, S., Cholakkal, H., Anwer, R. M., Khan, S., Yang, M.-H. & Khan, F. S., 2023, 2023 IEEE/CVF International Conference on Computer Vision (ICCV). IEEE, (IEEE International Conference on Computer Vision).

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

    Open Access

  • 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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  • Learning by Hallucinating: Vision-Language Pre-training with Weak Supervision

    Wang, T.-J. J., Laaksonen, J., Langer, T., Arponen, H. & Bishop, T., 6 Feb 2023, Proceedings - 2023 IEEE Winter Conference on Applications of Computer Vision, WACV 2023. IEEE, p. 1073-1083 11 p. (IEEE Winter Conference on Applications of Computer Vision).

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

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    3 Citations (Scopus)
    53 Downloads (Pure)

  • 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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    1 Citation (Scopus)
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  • PiTL: Cross-modal Retrieval with Weakly-supervised Vision-language Pre-training via Prompting

    Guo, Z., Wang, T. J. J., Pehlivan, S., Radman, A. & Laaksonen, J., 19 Jul 2023, SIGIR 2023 - Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval. ACM, p. 2261-2265 5 p.

    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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  • 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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    24 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)

  • Weak Supervision and Clustering-Based Sample Selection for Clinical Named Entity Recognition

    Sun, W., Ji, S., Denti, T., Moen, H., Kerro, O., Rannikko, A., Marttinen, P. & Koskinen, M., 2023, Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track - European Conference, ECML PKDD 2023, Proceedings. De Francisci Morales, G., Bonchi, F., Perlich, C., Ruchansky, N., Kourtellis, N. & Baralis, E. (eds.). Springer, p. 444-459 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14174 LNAI).

    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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