THEORY & METHODS

  1. Efficient Transformed Gaussian Process State-Space Models for Non-Stationary High-Dimensional Dynamical Systems,
    Lin, Z. , Li, Y., Yin, F., Maronas, J., Thiery, A.H., (2025) IEEE Transactions on Signal Processing   Arxiv

  2. Normalizing flow regularization for photoacoustic tomography,
    Chao Wang and Alexandre H. Thiery, (2024) Inverse Problems, 2024   Arxiv   Journal

  3. Out-of-Distribution Detection with a Single Unconditional Diffusion Model,
    Heng, A., Thiery, A. H., Soh, H., (2024) NeuRIPS (2024)   Arxiv

  4. Doubly Adaptive Importance Sampling,
    van den Boom, W., Cremaschi, A., Thiery, A.H, (2024) JCGS   Arxiv

  5. Ensemble Kalman Filtering Meets Gaussian Process SSM for Non-Mean-Field and Online Inference,
    Lin, Z., Sun, Y.,Yin, F., Thiery, A.H, (2023) IEEE Transactions on Signal Processing   Arxiv

  6. GIT-Net: Generalized Integral Transform for Operator Learning,
    Chao Wang and Alexandre H. Thiery, (2023) Transactions on Machine Learning Research, 2023   Arxiv   Journal

  7. Computational Doob’s H-transforms for Online Filtering of Discretely Observed Diffusions,
    Nicolas Chopin, Andras Fulop, Jeremy Heng, Alexandre H. Thiery, (2023) International Conference on Machine Learning (ICML) 2023   Arxiv

  8. Conditional sequential Monte Carlo in high dimensions,
    Axel Finke and Alexandre H. Thiery, (2023) Annals of Statistics 2023, In Press   Arxiv   Journal

  9. Pretrained equivariant features improve unsupervised landmark discovery,
    Rahul Rahaman, Atin Ghosh and Alexandre H. Thiery, (2022) International Conference of Pattern Recognition (ICPR) 2022   Arxiv

  10. Manifold lifting: scaling MCMC to the vanishing noise regime,
    Khai Xiang Au, Matthew Graham, Alexandre H. Thiery, (2022) JRSSB 2022   Arxiv   Journal

  11. A discrete Bouncy Particle Sampler,
    Chris Sherlock and Alexandre H. Thiery, (2022) Biometrika, Volume 109, Issue 2 (2022)   Arxiv   Journal

  12. A Generalized & Robust Framework For Timestamp Supervision in Temporal Action Segmentation,
    Rahul Rahaman, Dipika Singhania, Alexandre H. Thiery, Angela Yao, (2022) European Conference on Computer Vision (ECCV) 2022   Journal

  13. Manifold Markov chain Monte Carlo methods for Bayesian inference in a wide class of diffusion models,
    Matthew Graham, Alexandre H. Thiery, Alex Beskos, (2022) JRSSB, Volume 84 (4), 2022   Arxiv   Journal

  14. Sequential Ensemble Transform for Bayesian Inverse Problems,
    Aaron Myers, Alexandre H. Thiery, Kainan Wang and Tan Bui-Tanh, (2021) Journal of Computational Physics, Volume 427 (2021)   Arxiv   Journal

  15. On Data-Augmentation and Consistency-Based Semi-Supervised Learning,
    Atin Ghosh and Alexandre H. Thiery, (2021) ICLR 2021   Arxiv

  16. Uncertainty Quantification and Deep Ensembles,
    Rahul Rahaman and Alexandre H. Thiery, (2021) NeuRIPS 2021   Arxiv

  17. On importance-weighted autoencoders,
    Axel Finke and Alexandre H. Thiery, (2019) Tech Report   Arxiv

  18. A scalable optimal-transport based local particle filter,
    Matthew Graham and Alexandre H. Thiery, (2019) Tech Report   Arxiv

  19. Particle Filter efficiency under limited communication,
    Deborshee Sen and Alexandre H. Thiery, (2019) Tech Report   Arxiv

  20. Error Bounds for Sequential Monte Carlo Samplers for Multimodal Distributions,
    Daniel Paulin, Ajay Jasra and Alexandre H. Thiery, (2019) Bernoulli, Volume 25, Number 1 (2019)   Arxiv   Journal

  21. Asymptotic Analysis of the Random-Walk Metropolis Algorithm on Ridged Densities,
    Alex Beskos, Gareth Roberts, Alexandre H. Thiery and Natesh Pillai, (2018) Annals of Applied Probability, Volume 28, Number 5 (2018)   Arxiv   Journal

  22. On Coupling Particle Filter Trajectories,
    Deborshee Sen, Alexandre H. Thiery, Ajay Jasra, (2018) Statistics and Computing, Volume 28, Number 2 (2018)   Arxiv   Journal

  23. Levy statistics of interacting Rydberg gases,
    Thibault Vogt, Jingshan Han, Alexandre H. Thiery, Wenhui Li, (2017) Physical Review A, Volume 95, Number 5 (2017)   Arxiv   Journal

  24. Pseudo-marginal Metropolis–Hastings using averages of unbiased estimators,
    Chris Sherlock, Alexandre H. Thiery and Anthony Lee, (2017) Biometrika, Volume 104, Number 3 (2017)   Arxiv   Journal

  25. On the Convergence of Adaptive Sequential Monte Carlo Methods,
    Alex Beskos, Ajay Jasra, Nikolas Kantas, Alexandre H. Thiery, (2016) Annals of Applied Probability, Volume 26, Number 2 (2016)   Arxiv   Journal

  26. Consistency and fluctuations for stochastic gradient Langevin dynamics,
    Yee Whye Teh, Alexandre H. Thiery, Sebastian Vollmer, (2016) Journal of Machine Learning Research, Volume 17 (2016)   Arxiv   Journal

  27. On the efficiency of pseudo-marginal random walk Metropolis algorithms,
    Chris Sherlock, Alexandre H. Thiery, Gareth Roberts, Jeff Rosenthal, (2015) Annals of Statistics, Volume 43, Number 1 (2015)   Arxiv   Journal

  28. On non-negative unbiased estimators,
    Pierre Jacob, Alexandre H. Thiery, (2015) Annals of Statistics, Volume 43, Number 2 (2015)   Arxiv   Journal

  29. Efficiency of delayed-acceptance random walk Metropolis algorithms,
    Chris Sherlock, Alexandre H. Thiery and Andrew Golightly, (2015) Annals of Statistics (In Press)   Arxiv   Journal

  30. Noisy gradient flow from a random walk in Hilbert space,
    Natesh Pillai, Andrew Stuart, Alexandre H. Thiery, (2014) Stochastic Partial Differential Equations: Analysis and Computations, Volume 2, Number 2 (2014)   Arxiv   Journal

  31. Optimal Scaling and Diffusion Limits for the Langevin Algorithm in High Dimensions,
    Natesh Pillai, Andrew Stuart, Alexandre H. Thiery, (2012) Annals of Applied Probability, Volume 22, Number 6 (2012)   Arxiv   Journal

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APPLICATIONS

  1. Three-Dimensional Structural Phenotype of the Optic Nerve Head as a Function of Glaucoma Severity,
    Braeu, F.A., Chuangsuwanich, T., Tun, T.A., Perera, S.A., Husain, R., Kadziauskienė, A., Schmetterer, L., Thiéry, A.H., Barbastathis, G., Aung, T. and Girard, M.J.A., (2023) JAMA Ophthalmology, 2023   Arxiv   Journal

  2. Towards Label-Free 3D Segmentation of Optical Coherence Tomography Images of the Optic Nerve Head Using Deep Learning,
    Devalla,S.K., Pham, T.H., Panda, S.K, Zhang,L., Subramanian,G., Swaminathan,A., Chin,Z.Y, Rajan,M., Mohan,S., Krishnadas,R., Senthil,V., Leon,J.M, Tun,T.A., Cheng,C.Y., Schmetterer, L., Perera,S., Aung,T., Thiery,A.H., Girard,M.J.A., (2023) Biomedical Optics Express, Vol. 11, Issue 11   Arxiv   Journal

  3. Geometric Deep Learning to Identify the Critical 3D Structural Features of the Optic Nerve Head for Glaucoma Diagnosis,
    Braeu, F., Thiery, A.H, Tun, T.A., Kadziauskiene, A., Barbastathis, G., Aung, T., and Girard. M.J.A., (2023) American Journal of Ophthalmology, 2023   Arxiv   Journal

  4. Medical Application of Geometric Deep Learning for the Diagnosis of Glaucoma,
    Thiery, A.H, Braeu, F., Tun, T.A., Aung, T., Girard. M.J.A., (2023) Translational Vision Science and Technology, 2023   Arxiv   Journal

  5. Detection of m6A from direct RNA sequencing using a Multiple Instance Learning framework,
    Hendra C, Pratanwanich PN, Wan YK, Goh WS, Thiery A, Göke J+., (2022) Nature Methods (2022)   Arxiv   Journal

  6. Describing the Structural Phenotype of the Glaucomatous Optic Nerve Head Using Artificial Intelligence,
    Panda, S.K., Cheong, H., Tun,T.A., Devella, S.K., Krishnadas, R., Buist, M.L., Perera, S., Cheng, C-Y., Aung, T., Thiery A.H., Girard, M.J.A., (2022) American Journal of Ophthalmology, 2022   Arxiv   Journal

  7. The Three-Dimensional Structural Configuration of the Central Retinal Vessel Trunk and Branches as a Glaucoma Biomarker,
    Satish K Panda, Haris Cheong, Tin A Tun, Thanadet Chuangsuwanich, Aiste Kadziauskiene, Vijayalakshmi Senthil, Ramaswami Krishnadas, Martin L Buist, Shamira Perera, Ching-Yu Cheng, Tin Aung, Alexandre H Thiery, Michaël JA Girard, (2022) American Journal of Ophthalmology, 2022   Journal

  8. Deep Learning Algorithms to Isolate and Quantify the Structures of the Anterior Segment in Optical Coherence Tomography Images,
    Pham, T.H, Devalla,S.K., Ang, A., Da,S.Z., Thiery,A.H., Boote,C., Cheng,C.Y., Koh,V., Girard, M.J.A., (2021) British Journal of Ophthalmology   Arxiv   Journal

  9. Identification of differential RNA modifications from nanopore direct RNA sequencing with xPore,
    Ploy N. Pratanwanich, Fei Yao, Ying Chen, Casslynn W.Q. Koh, Christopher Hendra, Polly Poon, Yeek Teck Goh, Phoebe M. L. Yap, Choi Jing Yuan, Wee Joo Chng, Sarah Ng, Alexandre Thiery, W.S. Sho Goh, Jonathan Goeke, (2021) Nature Biotechnology, 2021   Arxiv   Journal

  10. Beyond quadratic error: Case-study of a multiple criteria approach to the performance assessment of numerical forecasts of solar irradiance in the tropics,
    Verbois, H., Blanc, P., Huva, R., Saint-Drenan, Y-M, Rusydi, A.. Thiery, A., (2020) Renewable and Sustainable Energy Reviews, Volume 117, (2020)   Journal

  11. NanoVar: Accurate Characterization of Patients Genomic Structural Variants Using Low-Depth Nanopore Sequencing,
    Tham, C.Y, Tirado-Magallanes, R., Goh, Y., Fullwood, M. J., Koh, B.T.H. , Wang, W., Ng, C.H, Chng, W.J., Thiery, A.H., Tenen, D.G, Benoukraf, (2020) Genome Biology (2020)   Arxiv   Journal

  12. DeshadowGAN: A Deep Learning Approach to Remove Shadows from Optical Coherence Tomography Images,
    Cheong, H., Devalla, S.K., Pham, T.H., Liang, Z., Tun, T.A., Wang, X., Perera, S., Schmetterer, L., Tin, A., Boote, C., Thiery, A.H., Girard, M.J.A., (2020) Translational Vision Science & Technology   Arxiv   Journal

  13. Deep Learning Algorithms to Isolate and Quantify the Structures of the Anterior Segment in Optical Coherence Tomography Images,
    Pham, T.H, Devalla,S.K., Ang, A., Da, S.Z., Thiery, A.H., Boote,C., Cheng,C.Y., Koh,V., Girard, M.J.A, (2020) British Journal of Ophthalmology, 2020   Arxiv   Journal

  14. A Deep Learning Approach to Denoise Optical Coherence Tomography Images of the Optic Nerve Head,
    Devalla SK, Subramanian G, Pham TH, Wang X, Perera S, Tun TA, Aung T, Schmetterer L, Thiery A.H., Girard MJA, (2019) Scientific Reports (2019)   Arxiv   Journal

  15. Glaucoma management in the era of artificial intelligence,
    Devalla S.K., Liang Z., Pham T.H., Boote, C., Strouthidis, N.G., Thiery A.H., Girard M.J.A., (2019) British Journal of Ophthalmology (2019)   Journal

  16. DRUNET: A Dilated-Residual U-Net Deep Learning Network to Digitally Stain Optic Nerve Head Tissues in Optical Coherence Tomography Images,
    Devalla SK, Renukanand PK, Sreedhar BK, Perera SA, Mari JM, Chin KS, Tun TA, Strouthidis N, Aung T, Thiery A.H., Girard MJA, (2018) Biomedical Optics Express, Vol. 9, Issue 7 (2018)   Arxiv   Journal

  17. Probabilistic forecasting of day-ahead solar irradiance using quantile gradient boosting,
    Verbois, H., Rusydi, A., Thiery, A.H., (2018) Solar Energy 173, 313-327 (2018)   Journal

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