THEORY & METHODS:

  1. Normalizing flow regularization for photoacoustic tomography
    Chao Wang and Alexandre H. Thiery, (2024)
    Inverse Problems, 2024   (Arxiv)   (Journal)
  2. Out-of-Distribution Detection with a Single Unconditional Diffusion Model
    Heng, A., Thiery, A. H., Soh, H., (2024)
    NeuRIPS (2024)   (Arxiv)
  3. Doubly Adaptive Importance Sampling
    van den Boom, W., Cremaschi, A., Thiery, A.H, (2024)
    Submitted   (Arxiv)
  4. 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)
  5. GIT-Net: Generalized Integral Transform for Operator Learning
    Chao Wang and Alexandre H. Thiery, (2023)
    Transactions on Machine Learning Research, 2023   (Arxiv)   (Journal)
  6. 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)
  7. Conditional sequential Monte Carlo in high dimensions
    Axel Finke and Alexandre H. Thiery, (2023)
    Annals of Statistics 2023, In Press   (Arxiv)   (Journal)
  8. Pretrained equivariant features improve unsupervised landmark discovery
    Rahul Rahaman, Atin Ghosh and Alexandre H. Thiery, (2022)
    International Conference of Pattern Recognition (ICPR) 2022   (Arxiv)
  9. Manifold lifting: scaling MCMC to the vanishing noise regime
    Khai Xiang Au, Matthew Graham, Alexandre H. Thiery, (2022)
    JRSSB 2022   (Arxiv)   (Journal)
  10. A discrete Bouncy Particle Sampler
    Chris Sherlock and Alexandre H. Thiery, (2022)
    Biometrika, Volume 109, Issue 2 (2022)   (Arxiv)   (Journal)
  11. 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)
  12. 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)
  13. 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)
  14. On Data-Augmentation and Consistency-Based Semi-Supervised Learning
    Atin Ghosh and Alexandre H. Thiery, (2021)
    ICLR 2021   (Arxiv)
  15. Uncertainty Quantification and Deep Ensembles
    Rahul Rahaman and Alexandre H. Thiery, (2021)
    NeuRIPS 2021   (Arxiv)
  16. On importance-weighted autoencoders
    Axel Finke and Alexandre H. Thiery, (2019)
    Tech Report   (Arxiv)
  17. A scalable optimal-transport based local particle filter
    Matthew Graham and Alexandre H. Thiery, (2019)
    Tech Report   (Arxiv)
  18. Particle Filter efficiency under limited communication
    Deborshee Sen and Alexandre H. Thiery, (2019)
    Tech Report   (Arxiv)
  19. 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)
  20. 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)
  21. On Coupling Particle Filter Trajectories
    Deborshee Sen, Alexandre H. Thiery, Ajay Jasra, (2018)
    Statistics and Computing, Volume 28, Number 2 (2018)   (Arxiv)   (Journal)
  22. 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)
  23. 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)
  24. 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)
  25. 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)
  26. 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)
  27. On non-negative unbiased estimators
    Pierre Jacob, Alexandre H. Thiery, (2015)
    Annals of Statistics, Volume 43, Number 2 (2015)   (Arxiv)   (Journal)
  28. Efficiency of delayed-acceptance random walk Metropolis algorithms
    Chris Sherlock, Alexandre H. Thiery and Andrew Golightly, (2015)
    Annals of Statistics (In Press)   (Arxiv)   (Journal)
  29. 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)
  30. 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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