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Probabilistic principles for latent space exploration in deep learning

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  • 2026

    Sequential Causal Discovery with Noisy Language Model Priors

    Verma, P., Arbour, D., Choudhary, S., Chopra, H., Solin, A. & Sinha, A. R., May 2026, In: Transactions on Machine Learning Research. 2026, May, p. 1-18 18 p.

    Research output: Contribution to journalArticleScientificpeer-review

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  • 2025

    Approximate Bayesian Inference via Bitstring Representations

    Sladek, A., Trapp, M. & Solin, A., 2025, In: Proceedings of Machine Learning Research. 286, p. 3939-3948 10 p.

    Research output: Contribution to journalConference articleScientificpeer-review

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  • Compressing 3D Gaussian Splatting by Noise-Substituted Vector Quantization

    Wang, H., Vali, M. H. & Solin, A., Jun 2025, Image Analysis - 23rd Scandinavian Conference, SCIA 2025, Reykjavik, Iceland, June 23–25, 2025, Proceedings, Part I. Petersen, J. & Dahl, V. A. (eds.). Springer, Vol. 1. p. 338-352 15 p. (Lecture Notes in Computer Science; vol. 15725 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    Open Access
  • DeSplat: Decomposed Gaussian Splatting for Distractor-Free Rendering

    Wang, Y., Klasson, M., Turkulainen, M., Wang, S., Kannala, J. & Solin, A., 2025, 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, p. 722-732 11 p. (IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    Open Access
    2 Citations (Scopus)
  • Discrete Codebook World Models for Continuous Control

    Scannell, A., Nakhaei, M., Kujanpää, K., Zhao, Y., Luck, K. S., Solin, A. & Pajarinen, J., 2025, 13th International Conference on Learning Representations, ICLR 2025. Curran Associates Inc., p. 54754-54791 38 p.

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

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  • Equivariant Denoisers Cannot Copy Graphs: Align Your Graph Diffusion Models

    Laabid, N., Rissanen, S., Heinonen, M., Solin, A. & Garg, V., 2025, 13th International Conference on Learning Representations, ICLR 2025. Curran Associates Inc., p. 65273-65311 39 p.

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

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  • FIORD: A Fisheye Indoor-Outdoor Dataset with LIDAR Ground Truth for 3D Scene Reconstruction and Benchmarking

    Gunes, U., Turkulainen, M., Ren, X., Solin, A., Kannala, J. & Rahtu, E., 2025, Image Analysis - 23rd Scandinavian Conference, SCIA 2025, Proceedings. Petersen, J. & Dahl, V. A. (eds.). Springer, p. 3-17 15 p. (Lecture Notes in Computer Science; vol. 15726 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    Open Access
  • 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 proceedingConference article in proceedingsScientificpeer-review

    Open Access
    1 Citation (Scopus)
  • Free Hunch: Denoiser Covariance Estimation for Diffusion Models Without Extra Costs

    Rissanen, S., Heinonen, M. & Solin, A., 2025, 13th International Conference on Learning Representations, ICLR 2025. Curran Associates Inc., p. 7863-7896 34 p.

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

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    1 Citation (Scopus)
    14 Downloads (Pure)
  • Heterophily-informed Message Passing

    Wang, H., Solin, A. & Garg, V., 2025, In: Transactions on Machine Learning Research. 2025-April

    Research output: Contribution to journalArticleScientificpeer-review

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    1 Citation (Scopus)
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  • 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 proceedingConference article in proceedingsScientificpeer-review

    Open Access
    2 Citations (Web of Science)
  • Progressive Tempering Sampler with Diffusion

    Rissanen, S., Ouyang, R., He, J., Chen, W., Heinonen, M., Solin, A. & Hernández-Lobato, J. M., 2025, In: Proceedings of Machine Learning Research. 267, p. 51724-51746 23 p.

    Research output: Contribution to journalConference articleScientificpeer-review

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  • 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 proceedingConference article in proceedingsScientificpeer-review

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    1 Citation (Scopus)
    11 Downloads (Pure)
  • Streamlining Prediction in Bayesian Deep Learning

    Li, R., Klasson, M., Solin, A. & Trapp, M., 2025, 13th International Conference on Learning Representations, ICLR 2025. Curran Associates Inc., p. 69295-69325 31 p.

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

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    1 Citation (Scopus)
    9 Downloads (Pure)
  • 2024

    Exploiting Hankel-Toeplitz Structures for Fast Computation of Kernel Precision Matrices

    Viset , F., Kullberg, A., Wesel, F. & Solin, A., Jul 2024, (E-pub ahead of print) In: Transactions on Machine Learning Research. 21 p.

    Research output: Contribution to journalArticleScientificpeer-review

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  • 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 proceedingConference article in proceedingsScientificpeer-review

    Open Access
    5 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 proceedingConference article in proceedingsScientificpeer-review

    Open Access
    10 Citations (Scopus)
  • Learning to Approximate Particle Smoothing Trajectories via Diffusion Generative Models

    Tamir, E. & Solin, A., 11 Oct 2024, FUSION 2024 - 27th International Conference on Information Fusion. International Society of Information Fusion, 8 p.

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

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  • Online One-Dimensional Magnetic Field SLAM with Loop-Closure Detection

    Kok, M. & Solin, A., 2024, 2024 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, MFI 2024. IEEE, 7 p. (IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems).

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

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    3 Citations (Scopus)
  • Rao-Blackwellized particle smoothing for simultaneous localization and mapping

    Kok, M., Solin, A. & Schön, T. B., 13 May 2024, In: Data-Centric Engineering. 5, 4, p. 1-22 22 p., e15.

    Research output: Contribution to journalArticleScientificpeer-review

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    9 Citations (Scopus)
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  • Subtractive Mixture Models via Squaring: Representation and Learning

    Loconte, L., Sladek, A., Mengel, S., Trapp, M., Solin, A., Gillis, N. & Vergari, A., 2024, 12th International Conference on Learning Representations (ICLR 2024). Curran Associates Inc.

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

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  • Variational Gaussian Process Diffusion Processes

    Verma, P., Adam, V. & Solin, A., 2024, Proceedings of the 27th International Conference on Artificial Intelligence and Statistics . JMLR, p. 1909-1917 (Proceedings of Machine Learning Research; vol. 238).

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

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  • 2023

    Bayes-Newton Methods for Approximate Bayesian Inference with PSD Guarantees

    Wilkinson, W., Särkkä, S. & Solin, A., Mar 2023, In: Journal of Machine Learning Research. 24, p. 1−50

    Research output: Contribution to journalArticleScientificpeer-review

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    10 Citations (Web of Science)
    140 Downloads (Pure)
  • 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 proceedingConference article in proceedingsScientificpeer-review

    Open Access
    4 Citations (Scopus)
  • 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 proceedingConference article in proceedingsScientificpeer-review

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    48 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 proceedingConference article in proceedingsScientificpeer-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 proceedingConference article in proceedingsScientificpeer-review

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  • Transport with Support : Data-Conditional Diffusion Bridges

    Tamir, E., Trapp, M. & Solin, A., Dec 2023, In: Transactions on Machine Learning Research. 27 p.

    Research output: Contribution to journalArticleScientificpeer-review

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  • 2022

    A Look at Improving Robustness in Visual-inertial SLAM by Moment Matching

    Solin, A., Li, R. & Pilzer, A., 2022, Proceedings of the 25th International Conference on Information Fusion, FUSION 2022. International Society of Information Fusion

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

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    2 Citations (Scopus)
    168 Downloads (Pure)
  • Non-separable spatio-temporal graph kernels via SPDEs

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

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

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    2 Citations (Web of Science)
    90 Downloads (Pure)
  • 2021

    Dual parameterization of sparse variational Gaussian processes

    Adam, V., Chang, P., Khan, M. E. & Solin, A., 2021, Advances in Neural Information Processing Systems 34 (NeurIPS 2021). Curran Associates Inc., 12 p. (Advances in Neural Information Processing Systems).

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

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  • Periodic Activation Functions Induce Stationarity

    Meronen, L., Trapp, M. & Solin, A., 2021, Advances in Neural Information Processing Systems 34 (NeurIPS 2021). Curran Associates Inc., 13 p. (Advances in Neural Information Processing Systems).

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

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    26 Downloads (Pure)
  • Scalable inference in SDEs by direct matching of the Fokker–Planck–Kolmogorov equation

    Solin, A., Tamir, E. & Verma, P., 2021, Advances in Neural Information Processing Systems 34 pre-proceedings (NeurIPS 2021). Morgan Kaufmann Publishers, 13 p. (Advances in Neural Information Processing Systems).

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

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  • Spatio-temporal variational Gaussian processes

    Hamelijnck, O., Wilkinson, W., Loppi, N., Solin, A. & Damoulas, T., 2021, Advances in Neural Information Processing Systems 34 (NeurIPS 2021). Morgan Kaufmann Publishers, 13 p. (Advances in Neural Information Processing Systems).

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

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