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  • 2025

    AgentForge: A Flexible Low-Code Platform for Reinforcement Learning Agent Design

    Fernandes Junior, F. & Oulasvirta, A., 2025, Proceedings of the 17th International Conference on Agents and Artificial Intelligence (ICAART 2025). Porto: SciTePress, Vol. 1. p. 351-358 8 p. (ICAART).

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

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  • 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

  • Generating Code World Models with Large Language Models Guided by Monte Carlo Tree Search

    Dainese, N., Merler, M., Alakuijala, M. & Marttinen, P., 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

  • Improving Medical Multi-modal Contrastive Learning with Expert Annotations

    Kumar, Y. & Marttinen, P., 2025, Computer Vision – ECCV 2024: 18th European Conference, Milan, Italy, September 29–October 4, 2024, Proceedings, Part XX. Leonardis, A., Ricci, E., Roth, S., Russakovsky, O., Sattler, T. & Varol, G. (eds.). Springer, p. 468-486 (Lecture Notes in Computer Science; vol. 15078).

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

    Open Access

  • 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

  • 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

    Open Access

  • Learning Binary-Antithetical Information Bottleneck for Generalizable Face Anti-Spoofing

    Yu, H., Chen, H. & Zhao, G., 2025, ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, (Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing).

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

    Open Access

  • LoRANN: Low-Rank Matrix Factorization for Approximate Nearest Neighbor Search

    Jääsaari, E., Hyvönen, V. & Roos, T., 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

  • Simulating Errors in Touchscreen Typing

    Shi, D., Zhu, Y., Fernandes Junior, F., Zhai, S. & Oulasvirta, A., 5 Feb 2025, (Accepted/In press) Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems. ACM

    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
    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

  • Can docstring reformulation with an LLM improve code generation?

    Dainese, N., Ilin, A. & Marttinen, P., 2024, EACL 2024 - 18th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Student Research Workshop. Falk, N., Papi, S. & Zhang, M. (eds.). Association for Computational Linguistics, p. 296-312 17 p.

    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

  • Continuous Monte Carlo Graph Search

    Kujanpää, K., Kannala, J., Babadi, A., Ilin, A., Zhao, Y. & Pajarinen, J., 2024, AAMAS '24: Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems. ACM, p. 1047-1056 10 p.

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

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  • CRTypist: Simulating Touchscreen Typing Behavior via Computational Rationality

    Shi, D., Zhu, Y., Jokinen, J. P. P., Acharya, A., Putkonen, A., Zhai, S. & Oulasvirta, A., 11 May 2024, CHI '24: Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems. Mueller, F. F., Kyburz, P., Williamson, J. R., Sas, C., Wilson, M. L., Toups Dugas, P. & Shklovski, I. (eds.). ACM, 17 p. 942

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

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    2 Citations (Scopus)
    35 Downloads (Pure)

  • Diffusion models as probabilistic neural operators for recovering unobserved states of dynamical systems

    Haitsiukevich, K., Poyraz, O., Marttinen, P. & Ilin, A., Sept 2024, 34th IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2024 - Proceedings. IEEE, 6 p. ( IEEE International Workshop on Machine Learning for Signal Processing).

    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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  • 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

  • FUNCTION-SPACE PARAMETERIZATION OF NEURAL NETWORKS FOR SEQUENTIAL LEARNING

    Scannell, A., Mereu, R., Chang, P., Tamir, E., Pajarinen, J. & Solin, A., 2024, 12th International Conference on Learning Representations (ICLR 2024). Curran Associates Inc., 29 p.

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

    Open Access
    2 Citations (Scopus)

  • Gaussian Splatting on the Move: Blur and Rolling Shutter Compensation for Natural Camera Motion

    Seiskari, O., Ylilammi, J., Kaatrasalo, V., Rantalankila, P., Turkulainen, M., Kannala, J., Rahtu, E. & Solin, A., 1 Nov 2024, Computer Vision – ECCV 2024 : 18th European Conference, Milan, Italy, September 29–October 4, 2024, Proceedings, Part LXXI. Leonardis, A., Ricci, E., Roth, S., Russakovsky, O., Sattler, T. & Varol, G. (eds.). Springer, p. 160-177 (Lecture Notes in Computer Science; vol. 15129).

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

    Open Access
    1 Citation (Scopus)

  • Generating Demonstrations for In-Context Compositional Generalization in Grounded Language Learning

    Spilsbury, S., Marttinen, P. & Ilin, A., Nov 2024, Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing. Al-Onaizan, Y., Bansal, M. & Chen, Y.-N. (eds.). Association for Computational Linguistics, p. 15960–15991

    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

    Open Access

  • Graph4GUI: Graph Neural Networks for Representing Graphical User Interfaces

    Jiang, Y., Zhou, C., Garg, V. & Oulasvirta, A., 11 May 2024, CHI '24: Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems. Mueller, F. F., Kyburz, P., Williamson, J. R., Sas, C., Wilson, M. L., Toups Dugas, P. & Shklovski, I. (eds.). ACM, 18 p. 988

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

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    3 Citations (Scopus)
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  • Heads-Up Multitasker: Simulating Attention Switching On Optical Head-Mounted Displays

    Bai, Y., Ikkala, A., Oulasvirta, A., Zhao, S., Wang, L. J., Yang, P. & Xu, P., 11 May 2024, CHI '24: Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems. Mueller, F. F., Kyburz, P., Williamson, J. R., Sas, C., Wilson, M. L., Toups Dugas, P. & Shklovski, I. (eds.). ACM, 18 p. 79

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

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  • Hybrid Search for Efficient Planning with Completeness Guarantees

    Kujanpää, K., Pajarinen, J. & Ilin, A., 2024, Advances in Neural Information Processing Systems 36 - 37th Conference on Neural Information Processing Systems, NeurIPS 2023. Curran Associates Inc., 14 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)

  • In-Context Symbolic Regression : Leveraging Large Language Models for Function Discovery

    Merler, M., Haitsiukevich, K., Dainese, N. & Marttinen, P., 2024, Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop). Fu, X. & Fleisig, E. (eds.). Association for Computational Linguistics, p. 589-606 18 p. (Proceedings of the Annual Meeting of the Association for Computational Linguistics; vol. 4).

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

    Open Access

  • INVESTIGATING THE CLUSTERS DISCOVERED BY PRE-TRAINED AV-HUBERT

    Virkkunen, A., Huang, G., Grosz, T. & Kurimo, M., 2024, 2024 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2024 - Proceedings. IEEE, p. 11196-11200 5 p. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings).

    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

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    6 Citations (Scopus)

  • Multimodal Humor Detection and Social Perception Prediction

    Bijoy, M. H., Porjazovski, D., Phan, N., Huang, G., Grósz, T. & Kurimo, M., 28 Oct 2024, MuSe 2024 - Proceedings of the 5th Multimodal Sentiment Analysis Challenge and Workshop: Social Perception and Humor, Co-Located with: MM 2024. ACM, p. 60-64 5 p. (MuSe 2024 - Proceedings of the 5th Multimodal Sentiment Analysis Challenge and Workshop: Social Perception and Humor, Co-Located with: MM 2024).

    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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  • Palette, Purpose, Prototype: The Three Ps of Color Design and How Designers Navigate Them

    Hegemann, L. & Oulasvirta, A., 11 May 2024, CHI '24: Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems. Mueller, F. F., Kyburz, P., Williamson, J. R., Sas, C., Wilson, M. L., Toups Dugas, P. & Shklovski, I. (eds.). ACM, 19 p. 147

    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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  • 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)

  • 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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  • SIM2VR: Towards Automated Biomechanical Testing in VR

    Fischer, F., Ikkala, A., Klar, M., Fleig, A., Bachinski, M., Murray-Smith, R., Hämäläinen, P., Oulasvirta, A. & Müller, J., 13 Oct 2024, UIST 2024 - Proceedings of the 37th Annual ACM Symposium on User Interface Software and Technology. Yao, L., Goel, M., Ion, A. & Lopes, P. (eds.). ACM, p. 1-15 79

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

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  • Sources of Uncertainty in 3D Scene Reconstruction

    Klasson, M., Mereu, R., Kannala, J. & Solin, A., 2024, (Accepted/In press) Computer Vision - ECCV 2024 Workshops. Springer

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

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  • Understanding and Automating Graphical Annotations on Animated Scatterplots

    Shi, D., Oulasvirta, A., Weinkauf, T. & Cao, N., 2024, Proceedings - 2024 IEEE 17th Pacific Visualization Conference, PacificVis 2024. IEEE, p. 212-221 10 p. (IEEE Pacific Visualization Symposium).

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

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  • 2023

    Amortised Experimental Design and Parameter Estimation for User Models of Pointing

    Keurulainen, A., Westerlund, I. R., Keurulainen, O. & Howes, A., 19 Apr 2023, CHI 2023 - Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems. ACM, 772

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

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    4 Citations (Scopus)
    45 Downloads (Pure)

  • A Recursive Newton Method for Smoothing in Nonlinear State Space Models

    Yaghoobi, F., Abdulsamad, H. & Särkkä, S., 2023, 31st European Signal Processing Conference, EUSIPCO 2023 - Proceedings. European Association For Signal and Image Processing, p. 1758-1762 5 p. (European Signal Processing Conference).

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

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    1 Citation (Scopus)
    19 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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  • 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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  • Expansion of Visual Hints for Improved Generalization in Stereo Matching

    Pilzer, A., Hou, Y., Loppi, N., Solin, A. & Kannala, J., 2023, Proceedings - 2023 IEEE Winter Conference on Applications of Computer Vision, WACV 2023. IEEE, p. 5829-5838 10 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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    4 Citations (Scopus)

  • Hierarchical Imitation Learning with Vector Quantized Models

    Kujanpää, K., Pajarinen, J. & Ilin, 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. 17896-17919 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)
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  • Improved Training of Physics-Informed Neural Networks with Model Ensembles

    Haitsiukevich, K. & Ilin, A., 2023, IJCNN 2023 - International Joint Conference on Neural Networks, Proceedings. IEEE, (Proceedings of International Joint Conference on Neural Networks).

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

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    10 Citations (Scopus)

  • 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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  • Interactive Personalization of Classifiers for Explainability using Multi-Objective Bayesian Optimization

    Chandramouli, S., Zhu, Y. & Oulasvirta, A., 18 Jun 2023, UMAP 2023 - Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization. ACM, p. 34-45 12 p.

    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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  • Mixture of Coupled HMMs for Robust Modeling of Multivariate Healthcare Time Series

    Poyraz, O. & Marttinen, P., 4 Dec 2023, Proceedings of the 3rd Machine Learning for Health Symposium. JMLR, p. 461-479 18 p. (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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  • 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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