Shallow models meet deep vision

  • 13 Conference contribution
  • 1 Article

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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 journal › Article › 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.

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

    Open Access
    3 Citations (Scopus)

  • 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 contribution › Scientific › peer-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 proceeding › Conference contribution › Scientific › peer-review

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  • Non-separable spatio-temporal graph kernels via SPDEs

    Nikitin, A., John, ST., 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 proceeding › Conference contribution › Scientific › peer-review

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  • 2021

    Combining pseudo-point and state space approximations for sum-separable Gaussian processes

    Tebbutt, W., Solin, A. & Turner, R. E., 2021, Proceedings of the 37th Conference on Uncertainty in Artificial Intelligence. JMLR, p. 1607-1617 (Proceedings of Machine Learning Research ; vol. 161).

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

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  • 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 proceeding › Conference contribution › Scientific › peer-review

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  • Gaussian Process Priors for View-Aware Inference

    Hou, Y., Heljakka, A. & Solin, A., 2021, THIRTY-FIFTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THIRTY-THIRD CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE AND THE ELEVENTH SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE. AAAI Press, p. 7762-7770 9 p. (AAAI Conference on Artificial Intelligence; vol. 35).

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

    Open Access

  • Leveraging Probabilistic Circuits for Nonparametric Multi-Output Regression

    Yu, Z., Zhu, M., Trapp, M., Skryagin, A. & Kersting, K., 2021, Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence. JMLR, p. 2008-2018 11 p. (Proceedings of Machine Learning Research ; vol. 161).

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

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  • Novel view synthesis via depth-guided skip connections

    Hou, Y., Solin, A. & Kannala, J., Jan 2021, Proceedings - 2021 IEEE Winter Conference on Applications of Computer Vision, WACV 2021. IEEE, p. 3118-3127 10 p. (IEEE Winter Conference on Applications of Computer Vision).

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

    Open Access
    6 Citations (Scopus)

  • 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 proceeding › Conference contribution › Scientific › peer-review

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  • 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 proceeding › Conference contribution › Scientific › peer-review

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  • Sparse Algorithms for Markovian Gaussian Processes

    Wilkinson, W. J., Solin, A. & Adam, V., 2021, 24TH INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND STATISTICS (AISTATS). Banerjee, A. & Fukumizu, K. (eds.). Microtome Publishing, 11 p. (Proceedings of Machine Learning Research; vol. 130).

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

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