Computer Science - Artificial Intelligence and Machine Learning (AIML) - Research area

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  • 2025

    Algebraic Positional Encodings

    Kogkalidis, K., Bernardy, J.-P. & Garg, V., 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

  • All Languages Matter: Evaluating LMMs on Culturally Diverse 100 Languages

    Vayani, A., Dissanayake, D., Watawana, H., Ahsan, N., Sasikumar, N., Thawakar, O., Ademtew, H. B., Hmaiti, Y., Kumar, A., Kuckreja, K., Maslych, M., Ghallabi, W. A., Qin, C., Shaker, A. M., Zhang, M., Ihsani, M. K., Esplana, A., Gokani, M., Mirkin, S. & Singh, H. & 47 others, Srivastava, A., Hamerlik, E., Izzati, F. A., Maani, F. A., Cavada, S., Chim, J., Gupta, R., Manjunath, S., Zhumakhanova, K., Rabevohitra, F. H., Amirudin, A., Ridzuan, M., Kareem, D., More, K., Li, K., Shakya, P., Saad, M., Ghasemaghaei, A., Djanibekov, A., Azizov, D., Jankovic, B., Bhatia, N., Obando-Ceron, J., Otieno, O., Farestam, F., Rabbani, M., Baliah, S., Sanjeev, S., Shtanchaev, A., Fatima, M., Nguyen, T., Kareem, A., Aremu, T., Xavier, N., Bhatkal, A., Toyin, H., Chadha, A., Cholakkal, H., Anwer, R. M., Felsberg, M., Laaksonen, J., Solorio, T., Choudhury, M., Laptev, I., Shah, M., Khan, S. & Khan, F., 10 Jun 2025, (Accepted/In press) The IEEE/CVF Conference on Computer Vision and Pattern Recognition 2025. United States: IEEE, 25 p.

    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., 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

  • Applying Guidance in a Limited Interval Improves Sample and Distribution Quality in Diffusion Models

    Kynkäänniemi, T., Aittala, M., Karras, T., Laine, S., Aila, T. & Lehtinen, J., 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

  • ArtSampo – Finnish Art on the Semantic Web

    Ahola, A., Rantala, H. & Hyvönen, E., 28 Jan 2025, The Semantic Web: ESWC 2024 Satellite Events : Hersonissos, Crete, Greece, May 26–30, 2024, Proceedings, Part I. Meroño Peñuela, A., Corcho, O., Groth, P., Simperl, E., Tamma, V., Nuzzolese, A. G., Poveda-Villalón, M., Sabou, M., Presutti, V., Celino, I., Revenko, A., Raad, J., Sartini, B. & Lisena, P. (eds.). Springer, p. 159-163 5 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 15344 LNCS).

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

  • 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

    Open Access
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  • Clustering students’ text form feedback data: comparison of eight vector space models

    Hämäläinen, W., Rybicki, J.-M., Malmi, L., Jung, A. & Pollari-Malmi, K., 24 Jan 2025, ICBDE '24: Proceedings of the 2024 7th International Conference on Big Data and Education. New York: ACM, p. 57-64 8 p.

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

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  • Compositional PAC-Bayes: Generalization of GNNs with persistence and beyond

    Brilliantov, K., Garg, V. & Souza, A. H., 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

  • ConfermentSampo - A Knowledge Graph, Data Service, and Semantic Portal for Intangible Academic Cultural Heritage 1643-2023 in Finland

    Hyvönen, E., Boman, P., Rantala, H., Ahola, A. & Leskinen, P., 13 Feb 2025, Knowledge Graphs and Semantic Web: 6th International Conference, KGSWC 2024, Paris, France, December 11–13, 2024, Proceedings. Tiwari, S., Villazón-Terrazas, B., Ortiz-Rodríguez, F. & Sahri, S. (eds.). Springer, p. 1-16 (Lecture Notes in Computer Science; vol. LNCS 15459).

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

  • Differentiable Product Quantization for Memory Efficient Camera Relocalization

    Laskar, Z., Melekhov, I., Benbihi, A., Wang, S. & Kannala, J., 2025, Computer Vision – ECCV 2024 : 18th European Conference, Milan, Italy, September 29–October 4, 2024, Proceedings, Part LXXXV. Leonardis, A., Ricci, E., Roth, S., Russakovsky, O., Sattler, T. & Varol, G. (eds.). Springer, p. 470-489 (Lecture Notes in Computer Science; vol. 15143).

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

    Open Access

  • Diffusion Twigs with Loop Guidance for Conditional Graph Generation

    Mercatali, G., Verma, Y., Freitas, A. & Garg, V., 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

  • DN-Splatter: Depth and Normal Priors for Gaussian Splatting and Meshing

    Turkulainen, M., Ren, X., Melekhov, I., Seiskari, O., Rahtu, E. & Kannala, J., 2025, Proceedings - 2025 IEEE Winter Conference on Applications of Computer Vision, WACV 2025. IEEE, p. 2421-2431 11 p. (IEEE Workshop on Applications of Computer Vision).

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

    Open Access
    1 Citation (Scopus)

  • Exploring Cultural Heritage Knowledge Graphs – Case of Correspondence Networks in Grand Duchy of Finland 1809–1917

    Poikkimäki, H., Leskinen, P. & Hyvönen, E., 3 Mar 2025, DHNB2025 Conference Proceedings . Väina, M. (ed.). University of Oslo, (Digital Humanities in the Nordic and Baltic Countries Publications ; vol. 7, no. 2).

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

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  • Flatness Improves Backbone Generalisation in Few-Shot Classification

    Li, R., Trapp, M., Klasson, M. & Solin, A., 2025, Proceedings - 2025 IEEE Winter Conference on Applications of Computer Vision, WACV 2025. IEEE, p. 1072-1089 18 p. (IEEE Workshop on Applications of Computer Vision).

    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
    1 Citation (Scopus)

  • Grouped Discrete Representation for Object-Centric Learning

    Zhao, R., Wang, H., Kannala, J. & Pajarinen, J., 2025, (Accepted/In press) European Conference on Machine Learning (ECML) 2025.

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

  • Guiding a Diffusion Model with a Bad Version of Itself

    Karras, T., Aittala, M., Kynkäänniemi, T., Lehtinen, J., Aila, T. & Laine, 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.

    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

  • Large Language Model as a Teacher for Zero-shot Tagging at Extreme Scales

    Zhang, J., Ullah, N. & Babbar, R., 2025, The 31st International Conference on Computational Linguistics (COLING 2025). Rambow, O., Wanner, L., Apidianaki, M., Al-Khalifa, H., Di Eugenio, B. & Schockaert, S. (eds.). Association for Computational Linguistics, p. 3465-3478 14 p. (International Conference on Computational Linguistics; vol. Part F206484-1).

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

    Open Access
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  • MassSpecGym : A benchmark for the discovery and identification of molecules

    Bushuiev, R., Bushuiev, A., de Jonge, N. F., Young, A., Kretschmer, F., Samusevich, R., Heirman, J., Wang, F., Zhang, L., Dührkop, K., Ludwig, M., Haupt, N. A., Kalia, A., Brungs, C., Schmid, R., Greiner, R., Wang, B., Wishart, D. S., Liu, L. P. & Rousu, J. & 10 others, Bittremieux, W., Rost, H., Mak, T. D., Hassoun, S., Huber, F., van der Hooft, J. J. J., Stravs, M. A., Böcker, S., Sivic, J. & Pluskal, T., 2025, Advances in Neural Information Processing Systems 37 (NeurIPS 2024). Curran Associates Inc., p. 1-18 18 p. (Advances in Neural Information Processing Systems).

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

    Open Access
    2 Citations (Scopus)

  • Multi-Scale Fusion for Object Representation

    Zhao, R., Wang, H., Kannala, J. & Pajarinen, J., 2025, (Accepted/In press) The Thirteenth International Conference on Learning Representations. 17 p.

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

    Open Access

  • Physics-Informed Variational State-Space Gaussian Processes

    Hamelijnck, O., Solin, A. & Damoulas, 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

  • 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

  • Searching and Analyzing Coin Finds with a Linked Data Based Web Application

    Rantala, H., Oksanen, E., Ehrnsten, F. & Hyvönen, E., 28 Jan 2025, The Semantic Web: ESWC 2024 Satellite Events, Proceedings. Meroño Peñuela, A., Corcho, O., Groth, P., Simperl, E., Tamma, V., Nuzzolese, A. G., Poveda-Villalón, M., Sabou, M., Presutti, V., Celino, I., Revenko, A., Raad, J., Sartini, B. & Lisena, P. (eds.). Springer, p. 296-300 5 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 15344 LNCS).

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

  • Searching and Analyzing Cross-Border Multilingual Legislation on the Semantic Web

    Hyvönen, E., Cao, H., Leal, R., Rantala, H. & Hietanen, A., 28 Jan 2025, The Semantic Web: ESWC 2024 Satellite Events, Proceedings. Meroño Peñuela, A., Corcho, O., Groth, P., Simperl, E., Tamma, V., Nuzzolese, A. G., Poveda-Villalón, M., Sabou, M., Presutti, V., Celino, I., Revenko, A., Raad, J., Sartini, B. & Lisena, P. (eds.). Springer, p. 244-248 5 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 15344 LNCS).

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

    Open Access

  • Sources of Uncertainty in 3D Scene Reconstruction

    Klasson, M., Mereu, R., Kannala, J. & Solin, A., 2025, Computer Vision – ECCV 2024 Workshops : Milan, Italy, September 29–October 4, 2024, Proceedings, Part XVII. Del Bue, A., Canton, C., Pont-Tuset, J. & Tommasi, T. (eds.). Springer, p. 271-289 19 p. (Lecture Notes in Computer Science; vol. 15639).

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

    8 Downloads (Pure)

  • 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)
    32 Downloads (Pure)

  • 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
    2 Citations (Scopus)

  • What do Graph Neural Networks learn? Insights from Tropical Geometry

    Pham, T. A. & Garg, V., 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

    8-star Linked Open Data Model: Extending the 5-star Model for Better Reuse, Quality, and Trust of Data

    Hyvönen, E. & Tuominen, J., 2024, Posters, Demos, Workshops, and Tutorials of the 20th International Conference on Semantic Systems (SEMANTiCS 2024). CEUR, Vol. 3759. (CEUR WORKSHOP PROCEEDINGS; vol. 3759).

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

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  • A Comparison of Hyperspectral Super-Resolution Techniques for Boreal Forest Imagery

    Chudasama, Y., Muhammad, U., Mayra, V., Guiotte, F. & Laaksonen, J., 2024, IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, Proceedings. IEEE, p. 1226-1230 5 p. (IEEE International Geoscience and Remote Sensing Symposium proceedings).

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

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  • A Model and Case Study for Searching and Reading Cross-Border Multilingual Legislation on the Semantic Web

    Hyvönen, E., Cao, H., Leal, R., Rantala, H. & Hietanen, A., 2024, Knowledge Graphs in the Age of Language Models and Neuro-Symbolic AI: Proceedings of the 20th International Conference on Semantic Systems, 17–19 September 2024, Amsterdam, The Netherlands. Salatino, A., Alam, M., Ongenae, F., Vahdati, S., Gentile, A.-L., Pellegrini, T. & Jiang, S. (eds.). IOS Press, p. 261-278 (Studies on the Semantic Web; vol. 60).

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

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  • Analysis of Total Variation Minimization for Clustered Federated Learning

    Jung, A., 2024, 32nd European Signal Processing Conference, EUSIPCO 2024 - Proceedings. European Association For Signal and Image Processing, p. 1027-1031 5 p. (European Signal Processing Conference).

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

    Open Access

  • Analyzing and Improving the Training Dynamics of Diffusion Models

    Karras, T., Aittala, M., Lehtinen, J., Hellsten, J., Aila, T. & Laine, S., 2024, Proceedings - 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2024. IEEE, p. 24174-24184 11 p. (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
    24 Citations (Scopus)

  • AV-PEA : Parameter-Efficient Adapter for Audio-Visual Multimodal Learning

    Radman, A. & Laaksonen, J., 2024, Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 2: VISAPP. SciTePress, p. 730-737 8 p. (Proceedings of the International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications).

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

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  • 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

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  • 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

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  • 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
    14 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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  • Consistent algorithms for multi-label classification with macro-at-k metrics

    Schultheis, E., Kotłowski, W., Wydmuch, M., Babbar, R., Borman, S. & Dembczyński, K., 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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    3 Citations (Scopus)

  • 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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  • 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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  • Dense Road Surface Grip Map Prediction from Multimodal Image Data

    Maanpää, J., Pesonen, J., Hyyti, H., Melekhov, I., Kannala, J., Manninen, P., Kukko, A. & Hyyppä, 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. 387–404 (Lecture Notes in Computer Science; vol. 15317).

    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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  • DGC-GNN : Leveraging Geometry and Color Cues for Visual Descriptor-Free 2D-3D Matching

    Wang, S., Kannala, J. & Barath, D., 16 Sept 2024, Proceedings - 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2024. IEEE, p. 20881-20891 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

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    2 Citations (Scopus)

  • Diffusion-Based Multimodal Video Captioning

    Kainulainen, J., Guo, Z. & Laaksonen, J., 7 Dec 2024, Computer Vision – ACCV 2024 : 17th Asian Conference on Computer Vision, Hanoi, Vietnam, December 8–12, 2024, Proceedings, Part III. Springer, p. 148-165 (Lecture Notes in Computer Science; vol. 15474).

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  • 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).

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  • Efficient NeRF Optimization - Not All Samples Remain Equally Hard

    Korhonen, J., Rangu, G., Tavakoli, H. R. & Kannala, J., 25 Oct 2024, (E-pub ahead of print) Computer Vision – ECCV 2024: 18th European Conference, Milan, Italy, September 29–October 4, 2024, Proceedings, Part XXXVI. Leonardis, A., Ricci, E., Roth, S., Russakovsky, O., Sattler, T. & Varol, G. (eds.). Springer, p. 198-213 (Lecture Notes in Computer Science; vol. 15094).

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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).

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